Einstein Analytics Certification Questions

Question

A large company is rolling out Einstein Analytics to their field sales. They have a well-defined role hierarchy where everyone is assigned to an appropriate node on the hierarchy. An individual Sales rep should be able to view all opportunities that she/he owns or as part of the account team or opportunity team. The Sales Manager should be able to view all opportunities for the entire Sales team. Similarly, the Sales Vice President should be able to view opportunities for everyone who rolls up in that hierarchy. The opportunity dataset has a field called 'Ownerld' which represents the opportunity owner. Given this information, how can an Einstein Consultant implement the above requirements?

Answer 1

As part of the dataflow, use the flatten operation on the role hierarchy and create a multivalue attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == "$User.UserRoleId" && 'Ownerld' == "SUser.Id".

Answer 2

As part of the dataflow, use computeExpression on the Roleld field to create an attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == "$User.UserRoleId" || 'Ownerld' == "$User.Id".

Answer 3

As part of the dataflow, use computeRelative on the Roleld field to create an attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == "$User.UserRoleId" || 'Ownerld' == "$User.Id".

Answer 4

As part of the dataflow, use the flatten operation on the role hierarchy and create a multivalue attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == "$User.UserRoleId" || TeamMember.Id' == "$User. Id" || 'Ownerld' == "SUser.Id".

Answer 5

What Changed Over Time

Answer 6

How Can I Improve It

Answer 7

Predictions & Improvements

Answer 8

Why It Happened

Answer 9

What Happened

Answer 10

Limit widget actions and exploration so users will focus only on the high-level information.

Answer 11

Use the different chart types to make the dashboard interesting and appealing

Answer 12

Design the dashboard with the desktop in mind and use the same layout for mobile devices for consistency.

Answer 13

Use charts to help users ask questions, not illustrate a conclusion.

Answer 14

Add the system permission "Manage Analytics Custom Maps" to the permission set used.

Answer 15

Enable "Custom maps with geoJSON" in the analytics settings.

Answer 16

Upload the geoJSON via the API because it is not a function in the UI.

Answer 17

Contact Salesforce support and request to get custom maps and geoJSON enabled for the org.

Answer 18

It is the template.

Answer 19

It is the instance.

Answer 20

It is the master.

Answer 21

It is the target.

Answer 22

Selected variable with CLV

Answer 23

Selected variable average with the mean

Answer 24

Selected variable with a different variable

Answer 25

Selected variable average with the filtered average

Answer 26

Selected variable with all story data

Answer 27

Add the new field to the existing dataset and use the XMO file parameters to hide the new field from users who should not have access to it.

Answer 28

Add the new field to the existing dataset and activate "Sharing inheritance" in the Account object so only users who have access to the field in Salesforce will have access in Einstein Analytics.

Answer 29

Create a new Account dataset containing the new field and give access to this dataset only to users who should be able to see the new field.

Answer 30

Add the new field to the existing dataset and use "Security Predicates' to hide it from users who should not access it.

Answer 31

digest transformation

Answer 32

flatten transformation

Answer 33

delta transformation

Answer 34

sfdcDigest transformation

Answer 35

An admin hasn't run a dataflow.

Answer 36

Danielle still needs to grant Zoe a permission set containing the Manage Analytics permission.

Answer 37

Danielle didn't share the Mosaic app with Zoe in Einstein Analytics.

Answer 38

Danielle still needs to grant Zoe a permission set containing the Use Analytics permission.

Answer 39

/services/data/v##.#/wave/apps

Answer 40

/services/data/v##.#/analytics/wizard

Answer 41

/services/data/v##.#/wave/templates

Answer 42

/services/data/v##.#/analytics/projects

Answer 43

template-to-app-rules.json

Answer 44

master- info.j son

Answer 45

template-info.json

Answer 46

Assign the Manager role the user

Answer 47

Ensure the user has the Analytics permission

Answer 48

Assign the Editor role the user

Answer 49

Assign the view role to the user

Answer 50

Predicting outcomes that you don't actually have the right data for

Answer 51

Exploring your existing data to see what already happened

Answer 52

Drilling down into the underlying reasons behind a prediction

Answer 53

Choosing between all possible outcomes for a single variable

Answer 54

Einstein Analytics Platform Admin

Answer 55

Einstein Analytics Platform User

Answer 56

Einstein Analytics

Answer 57

Einstein Analytics Superadmin

Answer 58

An enterprise org, because that type of org is typically used by large companies

Answer 59

A trial org, because you don't need to save anything

Answer 60

A Developer Edition org, because it's a free, safe environment where you can try things out

Answer 61

A higher education org, because analytics requires advanced math

Answer 62

Use 'Connect Data Sources" and create a connection to connect the two datasets.

Answer 63

Use selection binding in the filters section of Che step "Step_pie_2."

Answer 64

Use "Connect Data Sources" and create a connection to connect the two widgets.

Answer 65

Use selection binding in the filters section of the step "Type_l."

Answer 66

Change a field's name

Answer 67

Change a field's format

Answer 68

Change a field's type

Answer 69

All of the above

Answer 70

Wait at least 3 days after purchase.

Answer 71

Have a Customer Community Plus or Partner Community license.

Answer 72

Be nominated by your community peers.

Answer 73

Assign your community members the Analytics for Communities permission set license.

Answer 74

(B&D)Have a Customer Community Plus or Partner Community license. & Assign your community members the Analytics for Communities permission set license.

Answer 75

View, Explore, Refine, Save, Share

Answer 76

View, Explore, Reduce, Save, Share

Answer 77

Download, View, Refine, Save, Share

Answer 78

Create two permission sets with different system permissions.

Answer 79

Use a permission set license with two different levels of access.

Answer 80

Grant "Manage" access permission to the apps.

Answer 81

Create a permission set license assignment with two different levels of access

Answer 82

The dataset's security predicate was set up incorrectly.

Answer 83

Yasmine doesn't have the Manager app role.

Answer 84

Yasmine wasn't assigned a permission set.

Answer 85

Yasmine doesn't have the Create and Edit Analytics Dashboards permission.

Answer 86

Whether the user has access to the app

Answer 87

Which fields the user has access to

Answer 88

If the user has access to the dataset

Answer 89

Which rows the user has access to

Answer 90

Filter and order can be interchanged. Offset must be after filter/order and limit must come after offset.

Answer 91

Offset can be anywhere, but filter/order and limit must come after offset. Filter and order can be interchanged.

Answer 92

Look up the API name of the filtering field

Answer 93

Look up the API name of the source field

Answer 94

Find source and target step names

Answer 95

Configure the results binding on the target step in the dashboard JSON.

Answer 96

Layout templates offer a consistent end user experience.

Answer 97

Layout templates are fast to create because they are fixed and read-only.

Answer 98

Layout templates fdcDigest transformation offer a universal layout thus reducing the hours spent on design.

Answer 99

Layout templates are equipped with design best practices, such as optimally positioned KPIs and filters.

Answer 100

They explain everything about the outcome.

Answer 101

They aren't important. Hence the name, Unrelated.

Answer 102

They explain how interaction terms affect the outcome.

Answer 103

The outcome might not have much to do with related variables. It might have more to do with global effects.

Answer 104

/services/data/v##.#/wave/apps

Answer 105

/services/data/v##.#/analytics/wizard

Answer 106

/services/data/v##.#/analytics/projects

Answer 107

/services/data/v##.#/wave/templates

Answer 108

How combinations of factors affect the CLV for Naval customers

Answer 109

How individual factors separately affect the outcome for Naval customers

Answer 110

What the relationship is between significant and insignificant factors as they impact CLV for Naval customers

Answer 111

How the chosen variable is related to all other factors in the model for Naval customers

Answer 112

Analytics permission set license (PSL)

Answer 113

Permission set with at least one Analytics user permission

Answer 114

Username and password

Answer 115

(A & B) Analytics permission set license (PSL) & Permission set with at least one Analytics user permission

Answer 116

(B & C) Permission set with at least one Analytics user permission & Username and password

Answer 117

Descriptive

Answer 118

Diagnostic

Answer 119

Predictive

Answer 120

Prescriptive

Answer 121

An application built on top of Salesforce

Answer 122

A tool for analyzing surf reports and forecasts

Answer 123

A CRM alternative to Salesforce

Answer 124

An online repository of infographics

Answer 125

To find out what the merge icons represent in a dataset

Answer 126

To schedule when a dataset recipe runs

Answer 127

To join related data from different sources

Answer 128

To deal with duplicate records

Answer 129

5 per user, 200,000 per snapshot

Answer 130

10 per user, 100,000 per snapshot

Answer 131

10 per user, 200,000 per snapshot

Answer 132

5 per user, 100,000 per snapshot

Answer 133

Null hypothesis test

Answer 134

Significance level test

Answer 135

Critical region test

Answer 136

Chi-square test

Answer 137

Deploy the story, because the variation in the metrics is within the normal range.

Answer 138

Confirm that the overall GINI coefficient is good prior to deploying the story.

Answer 139

Research and check the dataset for outliers in the target field and the main predictors that are shown on top of the story.

Answer 140

Do not deploy the story immediately, and research why one fold is performing worse than the others.

Answer 141

Create separate datasets for attainment and commission and apply security predicates and/or sharing inheritance.

Answer 142

Apply a security predicate on the existing single dataset.

Answer 143

Use sharing inheritance.

Answer 144

Add the sales organization to the attainment dataset access list.

Answer 145

Use Analytics

Answer 146

Manage Analytics

Answer 147

Create and Edit Analytics Dashboard

Answer 148

None of above

Answer 149

1000 row minimum, 15,000,000 max

Answer 150

3000 row minimum, 20,000,000 max

Answer 151

00 row minimum, 20,000,000 max

Answer 152

500 row minimum, 25,000,000 max

Answer 153

No, you can't share data from a widget.

Answer 154

Select the step of the widget and share data.

Answer 155

Select "Share" icon, click on "Download", and select "Download in .png, .XLS, or CSV" format.

Answer 156

Only with the proper Einstein Analytics Platform license.

Answer 157

Segment the account data per region and deploy the same model to all segments.

Answer 158

Deploy the same model to all accounts and set the region field as an actionable variable.

Answer 159

Deploy the same model to all accounts and use an Apex trigger to call the appropriate prediction.

Answer 160

Segment the account data per region and deploy the appropriate model for each segment.

Answer 161

Up to four

Answer 162

Use the Show Summary option in the compare table.

Answer 163

Add a formula field to calculate the summary.

Answer 164

Use a SAQL query since the summary is not available in standard interface.

Answer 165

Create a computeExpression field in the Dataflow to calculate the summary.

Answer 166

15 minutes

Answer 167

20 minutes

Answer 168

10 minutes

Answer 169

Click the Actions bar from a bubble chart

Answer 170

Hover over the case number column of the values table widget and click the arrow that appears

Answer 171

Double-click the case number in the Actions widget

Answer 172

Simply @mention the case manager for that segment

Answer 173

Answer only questions that involve custom objects

Answer 174

Try each option in the dropdown one at a time

Answer 175

Download the app and run a SAQL query on the JSON

Answer 176

Click "Looks good, next" and look for questions highlighted in red

Answer 177

Create multiple layouts, and reorder all the widgets so that they fit nicely within the new default width.

Answer 178

Create a single layout and allow Einstein Analytics to automatically organize dashboard contents to be optimal for the device type.

Answer 179

Create a single layout and reorder all the widgets so that they fit nicely when viewing on either device.

Answer 180

Create multiple layouts, ensure the layout selectors match the device, and resize/hide widgets as necessary to ensure the content is appropriate for the device screen size.

Answer 181

compute Relative

Answer 182

compute Expression

Answer 183

Add Custom Domain

Answer 184

Filter by Range

Answer 185

Add Custom Range

Answer 186

Add Filter

Answer 187

1,000, but more can be purchased

Answer 188

75, but more can be purchased

Answer 189

500, but more can be purchased

Answer 190

q = cogroup Opportunity by 'Id', Activities by 'Opportunityld';

Answer 191

q = cogroup Opportunity by 'Id', Activities by 'Opportunityld' left;

Answer 192

q = cogroup Opportunity by 'Id' right, Activities by 'Opportunityld';

Answer 193

q = cogroup Opportunity by 'Id' left, Activities by 'Opportunityld';

Answer 194

Assign the Editor role to the user.

Answer 195

Assign the Viewer role to the user.

Answer 196

Ensure the user has the Use Analytics permission.

Answer 197

Assign the Manager role to the user.

Answer 198

Retain Promotion; it is an actionable variable and without it, we cannot recommend prescriptive actions.

Answer 199

Cancel this story and redefine the dataset.

Answer 200

Retain Amount; not knowing the size of a deal makes it hard to predict if will be won.

Answer 201

Do nothing; they appear to be similar, but there might be differences from the business perspective.

Answer 202

Use conditional formatting under the bar chart widget properties by selecting the dimension.

Answer 203

Use conditional formatting under the bar chart widget properties by selecting the measure.

Answer 204

Use bindings to specify a color per bar.

Answer 205

Create a compare table formula to specify a hidden metric for coloring purposes.

Answer 206

An account of imaginary or real people and events told for entertainment

Answer 207

A collection of graphs, statistical analysis, and text that helps you understand the relationships between multiple outcome variables and the factors that influence those variables

Answer 208

A collection of graphs, statistical analysis, and text that proves exactly what caused an outcome

Answer 209

A collection of graphs, statistical analysis, and text that helps you understand the relationships between a single outcome variable and the factors that influence that variable

Answer 210

In the connected user's currency

Answer 211

In the integration user's currency

Answer 212

In the currency that is set on the "currency" attribute in the dataset

Answer 213

In the currency that is set on the "currency" attribute in the dataflow

Answer 214

number_to_string()

Answer 215

coalesce()

Answer 216

No. Einstein Discovery is impervious to collinearity, so the story and subsequent model will be fine.

Answer 217

No. Although it is ideal to eliminate collinearity as soon as possible, Einstein will give a warning post-build and the ridge regression will prevent collinearity from over-fitting.

Answer 218

yes. If all collinear variables are not excluded, the model will over-fit and not make any sense.

Answer 219

Yes. If the collinear variables are not removed, the Einstein Discovery model build will fail.

Answer 220

If a user can see more than 3,000 records on the object in Salesforce, but the user does not have the "View All Data" permission, sharing inheritance is not used. The backup security predicate takes effect. This limitation does not apply to the Opportunity object.

Answer 221

Sharing inheritance supports Account, Campaign, Case, Contact, Opportunity, Lead, Order, User, and custom objects. If you use other objects, such as Idea or Site, you must use security predicates for those objects.

Answer 222

A dataset using sharing must also have a security predicate defined.

Answer 223

Sharing inheritance supports a foreign key for enforcing security.

Answer 224

When sharing inheritance is enabled, security predicates are ignored.

Answer 225

The field does not contain any data in Salesforce.

Answer 226

The user who runs the dataflow does not have access to the field.

Answer 227

The "Integration User Profile" does not have access to the field.

Answer 228

The ""Security User Profile" does not have access to the field.

Answer 229

Utilize a Salesforce weekly export feature

Answer 230

Utilize Analytics Connector

Answer 231

Utilize middleware with Analytics External Data API

Answer 232

Utilize a dataflow

Answer 233

The filters

Answer 234

The measure

Answer 235

The grouping

Answer 236

The formula and the name

Answer 237

It binds charts together so that selecting something in one chart filters other charts by that choice.

Answer 238

It shifts the time period of the chart you're viewing.

Answer 239

It turns the dataflow on and off.

Answer 240

It creates a chart that shows all the faces of your data in a diamond chart.

Answer 241

Low-fuel notifications

Answer 242

Sharing of apps with Communities

Answer 243

Access to the API

Answer 244

(A & B) Low-fuel notifications & Sharing of apps with Communities

Answer 245

(B & C) Sharing of apps with Communities & Access to the API

Answer 246

Check if any steps can be reused for multiple purposes.

Answer 247

Replace AggregateFlex steps with SAQL steps.

Answer 248

Split the steps and charts into different pages in a dashboard.

Answer 249

Avoid using conditional formatting.

Answer 250

Case duration

Answer 251

Customer geography

Answer 252

Customer satisfaction

Answer 253

Case resolution

Answer 254

All of the above

Answer 255

Flat gauge

Answer 256

Pivot table

Answer 257

Alter your Service Cloud implementation

Answer 258

Fine-tune dashboards to reflect how your company measures key indicators

Answer 259

Create a new set of dashboards with new KPIs

Answer 260

Use up one of the three wishes granted you by the wizard

Answer 261

Click on the "Share" icon on the dashboard. From there, you can set up sharing options, post a dashboard screenshot to Chatter, get a URL to share, or download a screenshot.

Answer 262

Click on the "Share" icon on the lens. From there, you can set up sharing options, post a dashboard screenshot to Chatter, get a URL to share, or download a screenshot

Answer 263

No, you can't share dashboards.

Answer 264

Click on the "Share" icon on the dataset.

Answer 265

Modify the XMD so all labels and values are user-friendly.

Answer 266

Rename all the steps to correspond with the defined naming convention.

Answer 267

Remove the redundant steps to ensure dashboard performance.

Answer 268

Apply conditional formatting on the new charts.

Answer 269

Which fonts to use for headers and body text

Answer 270

Which charts to use to best support the defined goal

Answer 271

How many charts should be allowed on a single dashboard

Answer 272

Which colors to use and how to use them

Answer 273

Extract data from the case and account objects using "sfdcDigest" transformation, Q use "append" transformation to add case data with account data, store as a dataset, and then build a dashboard using the generated dataset

Answer 274

Extract data from the case and account objects using an ETL tool, use the ETL tool to join account and case data, and then upload the data to Einstein Analytics. Build a dashboard using the ETL generated dataset

Answer 275

Extract data from the case and account objects using "sfdcDigest" transformation, use "augment" transformation to add case data with account data, store as a dataset, and then build a dashboard using the generated dataset

Answer 276

Extract data from the case and account objects using "dataloader", create a CSV file Q with account and case data, and then upload the CSV as a dataset to Einstein Analytics. Build a dashboard using that dataset

Answer 277

A keyword is basically just a function in SAQL, like group, foreach, etc. And it has to be lowercase.

Answer 278

A keyword is basically just a function in SAQL, like group, foreach, etc. And it has to be uppercase.

Answer 279

Remind them that the technology is only as good as the data.

Answer 280

Advise them that the use case may not be accurate.

Answer 281

Highlight that Einstein reduces time to insight, which is much faster than learning from experience.

Answer 282

Recommend using a visualization tool, like Einstein Analytics, to uncover the details.

Answer 283

q = timeseries q generate 'sum_Sales' as Forecasted_Sales' with (dateCols=('Date_Year, Date_Quarter', "Y-Q"), partition=Region', ignoreLast=true);

Answer 284

q = timeseries q generate 'sum_Sales' as Forecasted_Sales' with (Iength = 12, dateCols=('Date_Year', 'Date_Month". "Y-M"), partition='Region');

Answer 285

q = timeseries q generate 'sum_Sales' as Torecasted_Sales' with (dateCols=('Date_Year', Date_Quarter', "Y-Q"), partition='Region', seasonality=4);

Answer 286

q = timeseries q generate 'sum_Sales' as Torecasted_Sales' with (dateCols=('Date_Year', Date_Quarter',"Y-Q"), partition='Region');

Answer 287

Upload External Data to Analytics

Answer 288

Manage Analytics Templated Apps

Answer 289

Edit Analytics Dataflows

Answer 290

Edit Dataset Recipes

Answer 291

Update contents in the Sales Operations app and changes will be pushed down to its generated apps.

Answer 292

Ensure the Sales team has the necessary permissions to customize their apps.

Answer 293

Create a configuration wizard for the app.

Answer 294

Update contents in the Sales Operations app and create new template versions of the app.

Answer 295

Run and monitor

Answer 296

Plan and map

Answer 297

Extract and prepare

Answer 298

Build and explore

Answer 299

Use the dataflow transformation "delete" and set "userlD" as the deletion ID.

Answer 300

Use a combination of dataflow transformations: "augment" and "filter."

Answer 301

Use an external ETL tool to extract both datasets and delete records.

Answer 302

Use the recipe operation "delete" and set "userlD" as the deletion ID.

Answer 303

Grant Benito access to all datasets in the org.

Answer 304

Assign Benito a permission set that contains the permission: Create and Edit Analytics Dashboards.

Answer 305

Grant Benito access to the app that contains the Seed Bank dataset and assign him a permission set that contains the Create and Edit Analytics Dashboards permission.

Answer 306

Assign Benito a permission set that contains the permission: Create and Manage Analytics Apps.

Answer 307

Add more data to the dataset.

Answer 308

Normalize the margin by product group.

Answer 309

Eliminate extreme values in the dataset.

Answer 310

Run separate stories for each region.

Answer 311

Import the CSV file into Einstein Discovery.

Answer 312

Import the CSV file into the most similar Salesforce object, then run reports on that object.

Answer 313

You can't import data from a CSV file

Answer 314

Import the CSV file into an Einstein Analytics dataset, then create a story.

Answer 315

20 column minimum, 50 maximum

Answer 316

10 column minimum, 200 maximum

Answer 317

2 column minimum, 50 maximum

Answer 318

2 column minimum, 25 maximum

Answer 319

Sales Wave

Answer 320

Sales Analytics Apps

Answer 321

Analytics Templated Apps

Answer 322

Security User

Answer 323

Use a SAQL query leveraging the "fill" statement with a "partition" parameter.

Answer 324

Use a SAQL query to create fake rows for any data that is missing data from the dataset.

Answer 325

Use a "Compare Table" and use the "Show summary" option.

Answer 326

Use a "Compare Table" and add a column leveraging the "Running Total" function.

Answer 327

Add data based on the right-side grain

Answer 328

Join data similar to an SQL statement

Answer 329

Add data as a lookup relationship (left side is the lowest grain)

Answer 330

Join data based on a many-to-many relationship

Answer 331

Field audit trail data

Answer 332

Forensics data

Answer 333

Sales Cloud data Login

Answer 334

Event log file data

Answer 335

If no layouts are eligible for the mobile device, the first defined layout is used.

Answer 336

If no layouts are eligible for the mobile device, an error message will be displayed.

Answer 337

If more than one layout is eligible, the one with the most device properties set is used. If there is a tie, the most recently defined layout is used.

Answer 338

A layout for mobile is eligible for use when the device meets all the device properties set in the Layout panel.

Answer 339

There are widgets that cannot be displayed on mobile layouts.

Answer 340

What Happened

Answer 341

Why It Happened

Answer 342

Predictions & Improvements

Answer 343

What Is the Difference

Answer 344

Is like having a personal data scientist on staff

Answer 345

Replaces your team of BI experts and data analysts

Answer 346

Helps you hire the best data scientist for your business

Answer 347

Understands your business better than you do

Answer 348

Only provide the user with the level of detail they need to see, with the option to drill down deeper into more details.

Answer 349

Utilize the latest templates for the most modern look and feel.

Answer 350

Intentionally omit specific details so that users can do ad-hoc exploration if needed for root-cause analysis.

Answer 351

Implement strict security predicates to minimize the amount of information displayed to users.

Answer 352

Configuring unsupported fields

Answer 353

Lenses Dataset Fields

Answer 354

Extended Metadata

Answer 355

Create a JSON

Answer 356

None of the data

Answer 357

Only rows designated by the Salesforce administrator

Answer 358

All rows and fields in the datasets

Answer 359

Only rows designated by the App Manager

Answer 360

Differences involving permanently deleted records

Answer 361

Differences involving workflow-updated fields

Answer 362

Differences involving formula fields

Answer 363

Differences involving trigger-updated fields

Answer 364

Explanatory variable

Answer 365

Outcome variable

Answer 366

Global variable

Answer 367

Local variable

Answer 368

Tertiary variable

Answer 369

Consult a Data Scientist for further analysis.

Answer 370

Determine if the pattern is a data issue or a new insight.

Answer 371

Filter out the data that causes the unexpected pattern and analyze the new results.

Answer 372

Accept the new pattern and have confidence that Einstein knows the business as accurately as the customer

Answer 373

Use an XMD file and assign colors to each field value.

Answer 374

Use SAQL queries to calculate a color field and assign it to each field value.

Answer 375

Use a compute Expression to calculate a color field and assign it to each field value.

Answer 376

Use the "fields" menu when exploring the dataset and assign colors to each field value.

Answer 377

100 files per dataset

Answer 378

300 files per dataset

Answer 379

500 files per dataset

Answer 380

50 files Per dataset

Answer 381

Set the attribute "selffield" to true.

Answer 382

Set the attribute "selffield" to false.

Answer 383

Set the attribute "include_self_id" to true.

Answer 384

Set the attribute "include_self_id" to false.

Answer 385

The root object determines who can see the dataset.

Answer 386

Only data from the root object can be included in the dataset.

Answer 387

The root object determines what related objects you can add to the dataset.

Answer 388

The root object determines what app the dataset is saved in.

Answer 389

Create a second page on the dashboard and move the table to this new page.

Answer 390

Create a link to download the list of opportunities as an Excel file.

Answer 391

Create a Visualforce page and display a list view of the opportunities on this new page.

Answer 392

Create a second dashboard and move the table to this new dashboard.

Answer 393

In SAQL, use the timeseries function with the following arguments: Partition (the group_by piece), Seasonality (set to 12 to get yearly seasonality).

Answer 394

....no other options

Answer 395

Create one application for each department and use roles to share applications.

Answer 396

Create one application for each department, put common datasets in the shared app, and use profiles to share applications.

Answer 397

Create one application for each department, put common datasets in the shared app, and use roles to share applications.

Answer 398

Create one application for each department, put common datasets in the shared app, and use permission sets to share applications.

Answer 399

You create a text-only version of an app.

Answer 400

The template will not include a configuration wizard.

Answer 401

The dataflow fails.

Answer 402

The app includes all possible dashboards by default.

Answer 403

(B & D) The template will not include a configuration wizard & The app includes all possible dashboards by default.

Answer 404

Save the dataset under "My Private App" so only a subset of selected users can access the dataset.

Answer 405

Use a security predicate in the dataset so users can see only rows belonging to their respective regions.

Answer 406

Create a sharing rule in Salesforce based on the Region field in the user object and set the dataset to inherit sharing from Salesforce.

Answer 407

Save the dataset under a new application and give "viewer" access to a public group containing the list of users allowed to see the dataset.

Answer 408

sfdcDigest

Answer 409

It should always be 0 or the model should not be used.

Answer 410

It shows the difference between the predicted outcome and the observed outcome.

Answer 411

It displays the difference between the analyzed data and the data not reviewed.

Answer 412

It only appears for outcomes that do not have an explanation.

Answer 413

The model is very strong. A GINI coefficient of .535 shows that this model is very effective.

Answer 414

The model is pretty good; the accuracy rating of .7597 means we can predict both wins and losses at a fairly high rate.

Answer 415

The strength of the model cannot be determined with the metrics shown.

Answer 416

The model is very weak and doesn't provide useful predictions due to the low threshold.

Answer 417

Show the customer how to export and review the R-Code model validation results

Answer 418

Check the p-values and standard deviation

Answer 419

Use the Share and Export feature to help the customer determine if the findings make logical sense

Answer 420

Consult with a Data Scientist to validate the findings

Answer 421

computeExpression

Answer 422

computeData

Answer 423

computeValue

Answer 424

computeField

Answer 425

Create two custom apps: one for marketing dashboards with marketing as "viewer" and one for sales dashboards with sales as "viewer." Add the datasets as references to both custom apps.

Answer 426

Create three custom apps: one for marketing dashboards with marketing as "viewer," one for sales dashboards with sales as "viewer," and one for datasets where marketing and sales are "viewer."

Answer 427

Create one custom app for the datasets and share it with marketing and sales as "viewer."

Answer 428

Duplicate the datasets and create two custom apps: one for marketing dashboards and datasets with marketing as "editor" and one for sales dashboards and datasets with sales as "editor."

Answer 429

When Einstein Analytics Encryption is enabled, all newly registered datasets are encrypted at rest.

Answer 430

By default, the same keys are used to encrypt data in Einstein Analytics as are used to encrypt data in Salesforce objects.

Answer 431

The customer's org must have a Shield Platform Encryption tenant secret.

Answer 432

Bring Your Own Key is not supported.

Answer 433

To expand the time period shown in a dashboard

Answer 434

To rearrange widgets in dashboards

Answer 435

To post to Chatter

Answer 436

To create workout plan for you and your team

Answer 437

Use the Analytics External Data API and leverage the "query" resource.

Answer 438

Export the dataset as an XLS file and use the Einstein Analytics Connector for Excel.

Answer 439

Use the Analytics REST API and leverage the -query" resource.

Answer 440

Export the dataset as a CSV file and load it to an external database.

Answer 441

Download the XMD for the dataset and change the values and color for the fields and then upload to the dataset.

Answer 442

In the explorer, select the boolean fields and use the "edit values" option on the fields to change values and colors.

Answer 443

Create an XMD node in the dataflow to change the label and color of the values in the fields.

Answer 444

In the explorer, select the boolean fields, then create a derived dimension that references the boolean fields, and then modify the values and colors of the derived dimension.

Answer 445

Extract data from an external CSV file into Analytics

Answer 446

Extract Salesforce object data into Analytics

Answer 447

Build a dashboard

Answer 448

Explore a dataset

Answer 449

sfdcRegister

Answer 450

sfdcDigest

Answer 451

This dataset is too big and cannot be used in Einstein Discovery. Request a new dataset with fewer predictors.

Answer 452

Build the story with all the predictors and indicate that Einstein Discovery should show the top predictors.

Answer 453

Go back to the data preparation and reduce the number of fields to less than 30 in order to produce a story.

Answer 454

Build a story with a first set of predictors and assess which predictors are important to the story. Then drop the less important ones and add the predictors that were omitted in the first run and assess their impact.

Answer 455

Data Sync (Replication)

Answer 456

Use nested binding to update the grouping in the chart.

Answer 457

Use selection binding to update the measure in the chart.

Answer 458

Use result binding to update the measure in the chart.

Answer 459

Use selection binding to update the grouping in the chart.

Answer 460

'What Is The Difference' insights are comparative insights that help you better understand the relationships between explanatory variables and the goal (target outcome variable) in your story. These insights, based on a statistical analysis of your dataset, help you figure out which factors contribute to the biggest changes in the outcome variable. Einstein Discovery uses waterfall charts to help you visualize comparisons in What Is The Difference insights.

Answer 461

'Why It Happened' insights help you take a deeper look into the exact factors that led to an outcome. Why It Happened s/ Q insights drill deeper into the various factors that contributed to your story's goal. These insights are based on a statistical analysis of your dataset. Einstein Discovery uses waterfall charts to help you visualize Why It Happened insights.

Answer 462

'Predictions and Improvements' insights help you explore what might happen in the future. For example, you can interactively perform "what if analyses in your story. Einstein Discovery provides you with predictions and suggested improvements based on a statistical analysis of your dataset and predictive analytics. To help you visualize these insights, Einstein Discovery uses: - waterfall charts for predictions - bar charts for suggested improvements

Answer 463

'What Happened' insights are the primary insights in your story. They are descriptive insights that help you explore, at an y/ Q overview level, what factors contributed to the outcome, based on a statistical analysis of your dataset. .Einstein Discovery uses bar charts to help you visualize What Happened insights.

Answer 464

To remove column headers

Answer 465

To make sure the content is interesting

Answer 466

To add currency symbols to numeric fields

Answer 467

To make sure Analytics can set the field type correctly

Answer 468

Apply sharing inheritance.

Answer 469

Create a master-detail relationship between the Salesforce Account and Opportunity objects.

Answer 470

In the dataflow, extract the AccountTeamMember object and augment it with the Opportunity object using 'Accountld' as the join field and apply following security predicate: 'AccountTeamMember.Userld' == "$User.Id".

Answer 471

In the dataflow, extract the OpportunityTeamMember object and augment it with the Opportunity object using 'Opportunityld' as the join field and apply the following security predicate: 'OpportunityTeamMember.Userld' == "$User.Id".

Answer 472

Line over Scatter Plot

Answer 473

Grid over Bar

Answer 474

Line over Bar

Answer 475

Line over Stacked Bar

Answer 476

It instantly provides key metrics on open cases, average time to close, first contact resolution, and customer satisfaction.

Answer 477

It lets you drill down to more detailed dashboards, like agent performance, channel review, and telephony metrics.

Answer 478

It's available on desktop and mobile.

Answer 479

It's a great place to start your analysis.

Answer 480

All of the above.

Answer 481

Extract external data into Analytics

Answer 482

Build a dashboard

Answer 483

Combine data from different datasets

Answer 484

Make a data chili

Answer 485

variables.json

Answer 486

(A,B & C) ui.json & app.json & variables.json

Answer 487

(A & C) ui.json & variables.json

Answer 488

User permissions are removed from each defined permission set if Analytics is disabled.

Answer 489

User permissions are not removed from each defined permission set if Analytics is disabled.

Answer 490

You must define the permission sets again if Analytics is re-enabled.

Answer 491

You must not define the permission sets again if Analytics is re-enabled.

Answer 492

Automatically creates multiple versions of the same app

Answer 493

Lets you know the best way to set up your Salesforce data

Answer 494

Asks you questions about how you store data in your org to help you create your app

Answer 495

Customizes your template based on Salesforce settings

Answer 496

Create a new step in the dashboard using a compare table and define a formula.

Answer 497

Create a formula field on the lead object in Salesforce and add it to the dataset.

Answer 498

Create a computeExpression in the dataflow.

Answer 499

Create a new step in the dashboard using a compare table and the running total function.

Answer 500

2 measures, 0-2 groupings if trellis is disabled, or 0-4 groupings if trellis is enabled

Answer 501

1 measure, 1-2 groupings if trellis is disabled, or 1-4 groupings if trellis is enabled

Answer 502

1 measure, 1 grouping by a date field, and either 0-1 groupings by a dimension if trellis is disabled, or 0-2 groupings if trellis is enabled

Answer 503

1 measure, 0 groupings if trellis is disabled, or 0-2 groupings if trellis is enabled

Answer 504

Select the isWon = True outcome variable and generate the story.

Answer 505

Filter to only look at isWon = True records to avoid skewing the results.

Answer 506

Click Create Story and Einstein will take care of the rest.

Answer 507

Change the grain by removing the line level detail as it will skew the win rate.

Answer 508

The app, dataflows and datasets, dashboards, and permission sets

Answer 509

The app, dataflows and datasets, and dashboards

Answer 510

The app, dataflows and datasets, and users

Answer 511

An empty app

Answer 512

Representing the number of widgets on a dashboard

Answer 513

Filtering all related widgets in a dashboard by your selection

Answer 514

Something only programmers can access

Answer 515

Measuring the number of significant digits of precision for a particular metric

Answer 516

Choosing the color of the background in a graph

Answer 517

Create a recipe to generate a new dataset from the "OpportunityWithAccount" and "CaseWithAccount" datasets aggregated by Account, and use the generated dataset in a lens.

Answer 518

Use "Compare Table" to join the "OpportunityWithAccount" and "CaseWithAccount" datasets using the "Accountld" and then aggregate by Account.

Answer 519

Set up Connect Data Sources in the UI between the "OpportunityWithAccount" and "CaseWithAccount" datasets.

Answer 520

Use a SAQL query to group and join the "OpportunityWithAccount" and "CaseWithAccount" datasets then generate the results.

Answer 521

Enable Parental Control

Answer 522

Always Sign Me Up for Dreamforce

Answer 523

Sales Analytics Apps

Answer 524

Access Sales Cloud Analytics Templates and Apps

Answer 525

Each user has a corresponding Profile assigned (Analytics Cloud Integration User and Analytics Cloud Security User profiles).

Answer 526

When you query a dataset that has row-level security based on the User object, Analytics uses the permissions of the Security User to access the User object and its fields.

Answer 527

Analytics uses the permissions of the Integration User to extract data from Salesforce objects and fields when a dataflow job runs.

Answer 528

It's a read-only file with all the user documentation for a template.

Answer 529

It's the boss of the template with all the information needed to create the app.

Answer 530

It makes sure that the app includes all the right Salesforce data.

Answer 531

It's automatically populated every time you create an app from the template.

Answer 532

Inherited security

Answer 533

Security predicates

Answer 534

Separate apps for each region

Answer 535

Sharing rules

Answer 536

Treemap chart

Answer 537

Scatter chart

Answer 538

Metric Radar chart

Answer 539

Stacked Bar chart

Answer 540

Modify dataflows to exclude unused fields and include a filter to extract relevant data.

Answer 541

Scale down the number of datasets to help improve data sync (replication) performance.

Answer 542

Start over again with new dataflows that exclude unused fields with a filter to extract relevant data.

Answer 543

Update the existing data sync (replication) process by removing unused fields with a filter to extract relevant data.

Answer 544

Calculation

Answer 545

Column Color

Answer 546

Column Name

Answer 547

Alphabetical, in ascending order

Answer 548

Alphabetical, in descending order

Answer 549

Insights that explain the most variation in the outcome variable, in ascending order

Answer 550

Insights that explain the most variation in the outcome variable, in descending order

Answer 551

Determine if the timeseries required parameter, prediction interval, should be 80 or 95.

Answer 552

Investigate which prediction model is best for the data available.

Answer 553

Validate that there is enough data in the dataset to make a good prediction.

Answer 554

Include the fill SAQL statement to fill any missing dates.

Answer 555

Their names

Answer 556

Numbers (1..9)

Answer 557

Letters (A..Z)

Answer 558

All of the above

Answer 559

"filters": [ [ "Type", "{{column(Type_2.selection,[\"Type\"]).asString()}}" ] ]

Answer 560

"filters": [ [ "Type", "{{cell(Type_2.selection,0, \"Type\").asString()}}" ] ]

Answer 561

"filters": [ [ "Type", "{{column(Type_2.selection,[\"Type\"]).asObject()}}" ] ]

Answer 562

"filters": [ [ "Type", "{{cell(Type_2.selection,0, \"Type\").asObject()}}" ] ]

Answer 563

Manually add a flag to each row to prevent access.

Answer 564

Use a security predicate to filter which rows are returned.

Answer 565

Use subtle thought control.

Answer 566

Remove restricted rows from the JSON file.

Answer 567

Selecting a Dataset in Einstein Analytics, then clicking Create Story

Answer 568

Copying text from company reports and pasting into Einstein Discovery

Answer 569

Uploading a Microsoft® PowerPoint® presentation

Answer 570

Entering notes about the data

Answer 571

Add a text widget to the dashboard to indicate Fahrenheit or Celsius.

Answer 572

Use the XMD node in the dataflow to customize the number format of the field.

Answer 573

Customize the number format in the number widget properties of the dashboard.

Answer 574

In Explorer, go to the Fields menu and then customize the number format of the measure.

Answer 575

Inherited security

Answer 576

Row-level security with security predicates

Answer 577

Field-level security

Answer 578

App level security

Answer 579

Germany performs lower than average but better when the product is Call Center.

Answer 580

The -2.2 Unexplained means there are effects that Einstein will never be able to explain regardless of the dataset.

Answer 581

Call Center is a generally poor performing product, and since there is more in Germany that has a negative effect.

Answer 582

Germany sells more Call Center product and that helps them increase their win rate.

Answer 583

computeExpression Transformation with SAQL Expression to calculate the duration

Answer 584

flatten Transformation with Offset Expressions to calculate the duration

Answer 585

computeRelative Transformation with offset parameter to calculate the duration

Answer 586

computeRelative Transformation with SAQL Expression to calculate the duration

Answer 587

Aggregate by a measure

Answer 588

Count rows by measure you want to visualize

Answer 589

Filter to narrow down your results

Answer 590

Grouping by a dimension

Answer 591

Display the results graphically

Answer 592

Dataflow Editor

Answer 593

Recipes Editor

Answer 594

Step Editor

Answer 595

Use selection binding in the filters section of the step "Step_pie_1."

Answer 596

Enable the option "Apply filters from faceting" in the step "Region_1."

Answer 597

Enable the option "Apply filters from faceting" in the step "Step_pie_1."

Answer 598

Use selection binding in the filters section of the step "Region_1."

Answer 599

computeExpression

Answer 600

computeRelative

Answer 601

Sharing Rules

Answer 602

Organization-Wide Defaults

Answer 603

Role Hierarchy

Answer 604

It's not possible. Danielle will need to log into Einstein Discovery and import the data from there.

Answer 605

Danielle needs a permission set containing the Download Analytics Data permission, then she can use the Export node to load data into Einstein Discovery.

Answer 606

Danielle needs a permission set containing the Upload External Data to Analytics permission, then she can log into Einstein Discovery and import the data from there.

Answer 607

Data loaded into Einstein Analytics as datasets can then be used in Einstein Discovery without a separate load process.

Answer 608

Results binding

Answer 609

Data bindings

Answer 610

Description bindings

Answer 611

Selections bindings

Answer 612

result = load "opportunity1"; result = group result by ('CloseDate_Year', 'CloseDate_Month'); result = foreach result generate 'CloseDate_Year', 'CloseDate_Month', sum(sum(Amount)) over ([..0] partition by all order by ('CloseDate_Year', 'Close_Month')) as 'Cumulative Close Amount';

Answer 613

result = load "opportunity1"; result = group result by ('CloseDate_Year~~~CloseDate_Month'); result = foreach result generate 'CloseDate_Year', 'CloseDate_Month', sum(sum(Amount)) over ([..0] partition by 'CloseDate_Year' order by ('CloseDate_Year', 'Close_Month')) as 'Cumulative Close Amount';

Answer 614

result = load "opportunity1"; result = group result by ('CloseDate_Year', 'CloseDate_Month'); result = foreach result generate 'CloseDate_Year', 'CloseDate_Month', sum(sum(Amount)) over ([..] partition by 'CloseDate_Year' order by ('CloseDate_Year', 'Close_Month')) as 'Cumulative Close Amount';

Answer 615

result = load "opportunity1"; result = group result by ('CloseDate_Year', 'CloseDate_Month'); result = foreach result generate 'CloseDate_Year', 'CloseDate_Month', sum(sum(Amount)) over ([..0] partition by 'CloseDate_Year' order by ('CloseDate_Year', 'Close_Month')) as 'Cumulative Close Amount';

Answer 616

Create and assign Salesforce permission sets according to the three types of roles defined.

Answer 617

Assign the app permissions "viewer/' "editor," and "manager" to the three types of roles defined.

Answer 618

Create and assign three new Salesforce profiles according to the three types of roles defined.

Answer 619

Assign "Einstein Analytics Explorer" licenses to users that should only view the dashboard, and assign "Einstein Analytics Developer" licenses to users that should be able to create datasets and dashboards.

Answer 620

Third-order analysis

Answer 621

Object-oriented analysis

Answer 622

Second-order analysis

Answer 623

First-order analysis

Answer 624

Spectrum analysis

Answer 625

In the metadata file associated with the external data file using the rowLevelSecurityFilter key

Answer 626

In the Register transformation node of a dataflow that uses this dataset

Answer 627

In the dataset Security Predicate

Answer 628

On each row prior to upload

Answer 629

40 per org

Answer 630

40 per org per day

Answer 631

20 per org

Answer 632

20 per org per day

Answer 633

A specialized version of the Einstein Analytics platform that runs outside of Salesforce

Answer 634

Analytics for iPad

Answer 635

A collection of datasets, dashboards, lenses, and a dataflow

Answer 636

The blueprint for your org's Einstein Analytics implementation

Answer 637

Share the app with the users in Einstein Analytics.

Answer 638

Create user accounts for the users in Einstein Analytics.

Answer 639

Assign the users to the permission set containing Use Analytics.

Answer 640

Assign the users to the permission set containing Manage Analytics.

Answer 641

Customize tooltip

Answer 642

Chart Markers

Answer 643

Compare Table

Answer 644

Maximum number of dataflow definitions

Answer 645

Maximum number of dataflow transformation

Answer 646

Maximum number of objects that can be enabled for data sync (replication)

Answer 647

Timeout for ELT (Extract Load transform) jobs that are scheduled but not yet executed

Answer 648

Create a trigger on Opportunity and use the Salesforce External Connector to get predictions from Einstein Discovery.

Answer 649

Create an Apex batch on Opportunity and use the REST API to get predictions from Einstein Discovery.

Answer 650

Create a trigger on Opportunity and install the Einstein Discovery Writeback managed package from the AppExchange.

Answer 651

Create a trigger on Opportunity and use the REST API to get predictions from Einstein Discovery.

Answer 652

The Salesforce profile for the VP does not have read permission on some fields of the Opportunity__c custom object

Answer 653

The Security Predicates set up at the dataset level are preventing the VP from seeing data

Answer 654

The dataset is inheriting sharing from Salesforce and the VP can see more than 3000 rows

Answer 655

The Salesforce profile for the VP does not have read permission on the Opportunity__c custom object

Answer 656

Identify data types and define the appropriate data as numeric.

Answer 657

Analyze data columns and decide which, if any, to drop.

Answer 658

Produce a graph of the data to analyze.

Answer 659

Load the data into Einstein Analytics.

Answer 660

Let you add new types of charts to Salesforce

Answer 661

Alert you when you need a visa for an upcoming trip

Answer 662

Use ready-made dashboards to tell easy-to-follow stories about your data

Answer 663

Let you create configuration wizards to make Analytics setup easier

Answer 664

Use a dataflow to rename the stages with a preceding number.

Answer 665

Use a dashboard JSON to rename stages.

Answer 666

Use a dataflow to sort the stages by their internal name.

Answer 667

Use a dataset XMD to rename stages.

Answer 668

By connecting a USB drive to your laptop

Answer 669

By using an Einstein analytics dataset

Answer 670

Only if your database administrator does it for you

Answer 671

Only if Salesforce does it for you

Answer 672

Use the Salesforce SOAP interface.

Answer 673

Use the Analytics External Data API.

Answer 674

Use Oracle database connector.

Answer 675

Load the data as a CSV file.

Answer 676

The list, chart, and table steps must share a common name.

Answer 677

The list, chart, and table steps must share common dimensions from different datasets.

Answer 678

The list, chart, and table steps must share the same dataset.

Answer 679

Chart and table steps must have their own list widgets.

Answer 680

Make adjustments to the story to better demonstrate that the third-party payment app is the culprit.

Answer 681

Use the credit card company's domain knowledge and exclude the third-party payment app from the story.

Answer 682

Explain to the company that the story has returned unbiased results and the initial assessment is accurate.

Answer 683

Ask the credit card company for a more comprehensive dataset to analyze.

Answer 684

Automatically remove bottlenecks to make queries run faster.

Answer 685

Get a list of recommendations on how to improve the performance of the dashboard.

Answer 686

View all queries and the time it took to run each one.

Answer 687

View the total time required to run all queries.

Answer 688

See the final query for each step along with query results.

Answer 689

Improved ease of use for end users

Answer 690

Discounted EA licenses when growth is achieved

Answer 691

Automatic conditional formatting

Answer 692

Better dashboard performance

Answer 693

Reorganize the dashboard widgets.

Answer 694

Distribute steps among separate pages.

Answer 695

Use SAQL code to join datasets at runtime.

Answer 696

Replace separate step filters with a global filter.

Answer 697

Move calculations to a dataflow.

Answer 698

Ant Migration Tool

Answer 699

Analytics External Data API

Answer 700

Analytics REST API

Answer 701

Change sets

Answer 702

Analytics dashboard connector

Answer 703

Microsoft Azure SQL Data Warehouse Connector

Answer 704

Einstein Analytics Connector for Excel

Answer 705

Analytics REST API

Answer 706

Emphasis: make sure they have space for important information, such as headlines and key charts.

Answer 707

Clarity: make sure they are uncluttered and easy to interpret.

Answer 708

Consistency: make sure they have a sense of familiarity to strengthen your users' ease of use.

Answer 709

Balance: make sure they have a balance of different charts to get a more interesting design.

Answer 710

Visualization

Answer 711

1,000 (can purchase more)

Answer 712

500 (can purchase more)

Answer 713

200 (can purchase more)

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Einstein Analytics Certification Questions

Beschreibung

Zusammenfassung der Ressource

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