Carolina Colorado
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modulo 2 Big Data

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Carolina Colorado
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P1-Modulo 2 : Big data analysis y technology concepts

Question 1 of 200

1

Big data analysis differs from trditional data analysis primary because

Select one of the following:

  • volume, value and varirety

  • volume, velocity and variety

  • veracity, volume and velocity

Explanation

Question 2 of 200

1

In big data analysis and analytics, a fundamental step-by-step process is needed to organize the task involved

Select one of the following:

  • retrieving, processing, producing and visualization data

  • retrieving, processing, producing and repurposing data

  • retrieving, processing, organize and repurposing data

Explanation

Question 3 of 200

1

which are 1,2 and 3 stages of bigData analysis lifecycle

Select one of the following:

  • Data analysis, data identification and ata extraction

  • bussines cased evaluation, data extraction and data analysis

  • bussines case evaluation, data identificaction and data acquisition and filtering

Explanation

Question 4 of 200

1

which are 4,5 and 6 stages of bigData analysis lifecycle

Select one of the following:

  • data analysis, data visualization & utilization of analysis results

  • data extraction, data validation & cleansing and data aggregation & representation

  • data extraction, data aggregation & representation

Explanation

Question 5 of 200

1

which are 7,8 and 9 stages of bigData analysis lifecycle

Select one of the following:

  • data analysis, data visualization and utilization of analysis results

  • data aggregation & represntation, data analyisis and data visualization

  • data identifcation, data acquisition & filtering and data extraction

Explanation

Question 6 of 200

1

The business case evaluation stage requires that a business case be ________, __________ and ______________ prior to proceeding with the actual hands-on analysis tasks.

Select one of the following:

  • organized, created and approbed

  • created, assessed and approbed

  • created, organized and analyzed

Explanation

Question 7 of 200

1

An evaluation of a Big Data analysis bussines case helps decision-makers undertand

Select one of the following:

  • the business resources that will need to be utilized and wich bussines challenges the analysis

  • the data that will need to be utilized and wich bussines challenges the analysis

  • the business resources that will need to be utilized and wich bussines objectives the analysis

Explanation

Question 8 of 200

1

The KPIs is ussefull in Business Case Evaluation

Select one of the following:

  • true

  • false

Explanation

Question 9 of 200

1

based on the business requirements documented in the _______________________________ , it can be determined whether the business problems being addresed are really Big data problems

Select one of the following:

  • use case

  • business case

  • requirements case

Explanation

Question 10 of 200

1

a bussines problem needs to be directly related to one or more of the big data characteristics

Select one of the following:

  • veracity, velocity or variety

  • value, velocity or variety

  • volume, velocity or variety

Explanation

Question 11 of 200

1

Another outcome in Business case evaluation is

Select one of the following:

  • determination of budget required to carry out the analysis project

  • determination of data required to carry out the analysis project

  • determination of resources required to carry out the analysis project

Explanation

Question 12 of 200

1

The invesment can be weighed against the expected benefits of achieving the goals

Select one of the following:

  • false

  • true

Explanation

Question 13 of 200

1

Initial iterations of the big data analysis lifecycle will not required more up-front invesment of Big Data tecnologies, products and training compared to later iterations

Select one of the following:

  • false

  • true

Explanation

Question 14 of 200

1

The data identification stage is dedicated to identifiying the _____________ required for the analysis project

Select one of the following:

  • metadata

  • datasets

  • datamart

Explanation

Question 15 of 200

1

identifying a wider variety of data sources may increase the probability of finding

Select one of the following:

  • hidden patterns and aggregations

  • hidden patterns and correlations

  • hidden resources and datasets

Explanation

Question 16 of 200

1

Can be beneficial to identify as many types of releated data sources and insights as possible, especilly when we don´t know exactly what we're looking for.

Select one of the following:

  • TRUE

  • FALSE

Explanation

Question 17 of 200

1

Depending on the business scope of analysis project and nature of business problems being adressed, the required dataset and their sourcescan be

Select one of the following:

  • structured and not structured

  • big or small of all enterprise

  • internal or external to enterprise

Explanation

Question 18 of 200

1

Internal dataset

Select one of the following:

  • data markets and publicly avalaible datasets

  • internal sources, such as data marts and operational system

  • embedded within blogs or other types of content-based websites

Explanation

Question 19 of 200

1

external datasets

Select one of the following:

  • strudtured data, unstructured data

  • data marts and operational systems

  • Case they may need to be harvested via automated tools

Explanation

Question 20 of 200

1

data is gathered from all of data sources that were identified during the previous stage, and is then subjected to the automated filtering of corrupt data or data that has been deemed to have no value to the analysis obvjectives

Select one of the following:

  • Data identification

  • data acquisition & filtering

  • Data aggregation & representation

Explanation

Question 21 of 200

1

Depending on the type of data source , data may come as a dump of files or may require API integration

Select one of the following:

  • false

  • true

Explanation

Question 22 of 200

1

in many cases , especially where external, unstructured data is concerned, some or most of the acquired data may be irrelevant (noise) and can be discarded as part of the filtering process

Select one of the following:

  • Data acquisition & filtering

  • Data extraction

  • Data validation & cleansing

Explanation

Question 23 of 200

1

data classified as "corrupt" can include records with missing or nonsensical values or invalid data type

Select one of the following:

  • false

  • true

Explanation

Question 24 of 200

1

Data thah is filtered out for one analysis may not be valueable for a different type of analysis

Select one of the following:

  • false

  • true

Explanation

Question 25 of 200

1

it is advisable to store a verbatim copy of the original dataset proceeding with the filtering.

Select one of the following:

  • To save on required storage space, the verbatim copy is compressed after storage

  • To save on required storage space, the verbatim copy is compressed before storage

  • To save on required storage space, the verbatim copy is compressed in the same time of storage

Explanation

Question 26 of 200

1

to be persisted once it gets generated or enters the enterprise boundary

Select one of the following:

  • internal data

  • internal and external data

  • external data

Explanation

Question 27 of 200

1

The data is persisted to disk prior to analysis

Select one of the following:

  • realtime analytics

  • Batch anlytics

  • realtime analytics and batch analytics

Explanation

Question 28 of 200

1

The data is analyzed first and then persisted to disk

Select one of the following:

  • realtime analytics

  • batch analytics

  • realtime analytics and batch analytics

Explanation

Question 29 of 200

1

Can be added via automation to data from both internal and external data sources to improve the classification an querying

Select one of the following:

  • info data

  • data analysis

  • metadata

Explanation

Question 30 of 200

1

Metadata example can include

Select one of the following:

  • datamart size and structure, source information, date and time of creation or collection, language-specific information etc.

  • database size and structure, source information, date and time of creation or collection, language-specific information etc.

  • dataset size and structure, source information, date and time of creation or collection, language-specific information etc.

Explanation

Question 31 of 200

1

it is vital that metadata be machine-readable and passed forward along subsequent analysis stages

Select one of the following:

  • false

  • true

Explanation

Question 32 of 200

1

This helps to maintain data provenance throughout the Big Data analysis lifecycle, wich helps establish and preserve data accuracy and quality

Select one of the following:

  • metadata

  • source information

  • date and time of creation or collection

Explanation

Question 33 of 200

1

Some of the data identified as input for the analysis may arrive in a format incompatible with the big data solution

Select one of the following:

  • true

  • false

Explanation

Question 34 of 200

1

the need to address disparate types of data is more likely with data from

Select one of the following:

  • internal sources

  • external sources

Explanation

Question 35 of 200

1

is dedicated to extracting disparate data and transforming it into a format that the underliying Big Data solution can use for the purpose of the data analysis

Select one of the following:

  • Data acquisition & filtering

  • data validation & cleansing

  • data extraction

Explanation

Question 36 of 200

1

The extent of extraction and transformation required depends

Select one of the following:

  • on the types of analytics and capabilities of the Big Data solution

  • bussines case

  • Data extraction

Explanation

Question 37 of 200

1

Estracting the required fields from delimited textual data (such as with web server log files) may not be necessary

Select one of the following:

  • capabilities of the Big Data Solution

  • underlying Big Data solution can already directly process those files

  • transforming it into a format that underlying Big Data solution

Explanation

Question 38 of 200

1

example of document that not need further transformation

Select one of the following:

  • XML and JSON

  • facebook and twitter

  • image and video

Explanation

Question 39 of 200

1

The invalid data can

Select one of the following:

  • Skew an falsify analysis results

  • Lose business objectives

  • Lose the accuracy of the analysis

Explanation

Question 40 of 200

1

data input into Big Data analyses can be unstructured without any indication of validity

Select one of the following:

  • false

  • true

Explanation

Question 41 of 200

1

the complexity can further make it easy to arrive at a set of suitable validation constraint

Select one of the following:

  • false

  • true

Explanation

Question 42 of 200

1

Is dedicated to establishing (often complex) validation rules and removing any know invalid data

Select one of the following:

  • Data acquisition and filtering

  • Data validation and cleansing

  • Data identification

Explanation

Question 43 of 200

1

Big Data solutions often receive redundant data across different datasets, this redundancy can be exploited to explore interconnected datasets in order to assemble validation parameters and fill in missing valid data

Select one of the following:

  • false

  • true

Explanation

Question 44 of 200

1

For Batch analytics, data validation and cleansing can be achieved via offline

Select one of the following:

  • data minnig

  • ELT operation

  • ETL operation

Explanation

Question 45 of 200

1

Data input in Big Data can be unstructured without any indication of validity

Select one of the following:

  • false

  • true

Explanation

Question 46 of 200

1

provenance can play an important role in determining the accuracy and quality of questionable data

Select one of the following:

  • false

  • true

Explanation

Question 47 of 200

1

data that appears to be invalid may still be valuable in that it may posses

Select one of the following:

  • most important data

  • hidden patterns an trends

  • noise

Explanation

Question 48 of 200

1

Data may be spread across multiple datasets, requiring that datasets be joined together via common files (date or ID)

Select one of the following:

  • false

  • true

Explanation

Question 49 of 200

1

either way a method of data ________________ is required or the dataset representing ther correct value needs to be determined

Select one of the following:

  • aggregation

  • reconciliaton

  • representation

Explanation

Question 50 of 200

1

Dedicated to integrating multiple datasets together to arrive at a unified view

Select one of the following:

  • Data aggregation & representation

  • Data extraction

  • Data visualization

Explanation

Question 51 of 200

1

Can become complicated because od differences in : although the data format may be the same, the data model may be different

Select one of the following:

  • semantics

  • BD engine

  • Data structure

Explanation

Question 52 of 200

1

Can become complicated because od differences in : A valuethat is labelled differently in two different datasets may mean the same thing (surname and last name)

Select one of the following:

  • BD engine

  • Semantics

  • Data structure

Explanation

Question 53 of 200

1

In data Aggregation & Representation reconciling the differences can required complex logic that is executed ___________________.

Select one of the following:

  • ETL process

  • human intervention

  • automatically

Explanation

Question 54 of 200

1

Future data analysis requirements need to be considered during the stage ___________________ to help foster data reusability

Select one of the following:

  • Data extraction

  • Data aggregation & REpresentation

  • Data validation and cleansing

Explanation

Question 55 of 200

1

whether ___________________ is required or not, it is important to understand that the same data can be stored in many different forms. One form may be better suited for a particular type of analysis than another

Select one of the following:

  • data cleansing

  • data aggregation

  • filtering

Explanation

Question 56 of 200

1

A data structured standarized by the Big Data solution can require establishing a central, standard analysis repository, such as a

Select one of the following:

  • untructured database

  • structured database

  • NoSQL database

Explanation

Question 57 of 200

1

the data analysis stage is dedicated to carriying out the actual analysis task, which typically involves one or more types of analytics

Select one of the following:

  • data validation %cleansing

  • Data Analysis

  • Utilization os analysis results

Explanation

Question 58 of 200

1

This stage can be iterative in nature, because repeated until appropiated pattern or correlation is uncovered

Select one of the following:

  • data aggregation & representation

  • Data analysis

  • Data extraction

Explanation

Question 59 of 200

1

The approach taken when carrying out this stage, data analysis, an be classified as ______________________________

Select one of the following:

  • acquisition analysis and filtering analysis

  • confirmatory analysis and exploratory analysis

  • validation analysis and cleansing

Explanation

Question 60 of 200

1

___________________________ adata analysis is a deductive approach where the cause of the phenomenon being investigated is proposed beforehand

Select one of the following:

  • Confirmatory analysis

  • Exploratory analysis

  • Data analysis

Explanation

Question 61 of 200

1

the proposed cause or assumption is called a

Select one of the following:

  • pattern and trend

  • deductive approach

  • hypotesis

Explanation

Question 62 of 200

1

data samples are tipically used

Select one of the following:

  • exploraty analysis

  • confirmatory analysis

Explanation

Question 63 of 200

1

unexpected findings or anomalies are usually ignored since a predetermined cause was assumed

Select one of the following:

  • true

  • false

Explanation

Question 64 of 200

1

is an inductive approach that is closely associated to data mining

Select one of the following:

  • exploratory data analysis

  • confirmatory data analysis

  • correlation analysis

Explanation

Question 65 of 200

1

this analysis provides a general direction that can facilitate the discovery of patterns or annomalies

Select one of the following:

  • confirmation analysis

  • Exploratory analysis

Explanation

Question 66 of 200

1

Large amounts of data and visual analysis are typically used

Select one of the following:

  • Confirmatory analysis

  • Exploratory analysis

Explanation

Question 67 of 200

1

is dedicated to using _____________________ techniques and tools to graphically communicate the analysis results for effective interpretation by bussines users

Select one of the following:

  • Data analysis

  • Data visualization

  • Utiolization of analysis results

Explanation

Question 68 of 200

1

Bussines users needs to be able to understand the results in order to obtain value from analysis and subsequently have de ability to provide feedback from_______________ back to stage __________________

Select one of the following:

  • Data validation and cleaning, data extraction

  • Data analysis, data aggregation & representation

  • Data visualization, Data analysis

Explanation

Question 69 of 200

1

the same results may be presented ina a number a number of different ways.

Select one of the following:

  • false

  • true

Explanation

Question 70 of 200

1

another aspect to keep in mind is that providing a method of drilling down to comparatively simple statistics is crucial, in order for users to understand how to statistics were generated

Select one of the following:

  • true

  • false

Explanation

Question 71 of 200

1

support businessdecission-making, there may be further opportunieties to utilize the analysis results

Select one of the following:

  • Utilization of analysis results

  • Data visualization

  • Data analysis

Explanation

Question 72 of 200

1

The utilization os analysis results is dedicated to determining how and where processed analysis data can be further leveraged

Select one of the following:

  • Utilization of analysis results

  • Data visualization

  • Data analysis

Explanation

Question 73 of 200

1

"models" that encapsulated new insights and understandings about the nature of the patterns and realationships that exist within data that was just analyzed

Select one of the following:

  • utilization of analysis results

  • Data analysis

  • Data validation &cleansing

Explanation

Question 74 of 200

1

A "model" may look like a

Select one of the following:

  • mathematical equation or a set of rules

  • structred database

  • the differents datasets

Explanation

Question 75 of 200

1

Models can be used to improved bussines process logic

Select one or more of the following:

  • new dataset

  • form the basis of a new system or software program

  • application system logic

  • new bussines case

Explanation

Question 76 of 200

1

the data analysis results may be automatically or manually fed directly into enterprise systems to enhace and optimize their behavior and performance

Select one of the following:

  • input for enterprise systems

  • Bussines process optimization

  • Alerts

Explanation

Question 77 of 200

1

The identiffied patterns correlations and anomalies discovered during the data analysis are used to refine business process

Select one of the following:

  • input for enterprise input

  • alerts

  • Bussines process optimization

Explanation

Question 78 of 200

1

Data analysis results can be used as input for existing events that requires them to take corrective action

Select one of the following:

  • input for enterprise input

  • business process optimization

  • alerts

Explanation

Question 79 of 200

1

Big data nalysis concepts

Select one or more of the following:

  • statical

  • aggregation

  • visual

  • machine learning

  • Semantic

  • Topic mapping

  • feelings

Explanation

Question 80 of 200

1

statistical analysis

Select one or more of the following:

  • A/B Testing

  • heat maps

  • correlation

  • Regression

  • filtering

Explanation

Question 81 of 200

1

visual Analysis

Select one or more of the following:

  • heat maps

  • outlier detection

  • time series analysis

  • Spatial Data Analysis

  • Network analysis

Explanation

Question 82 of 200

1

machine learning

Select one or more of the following:

  • correlation

  • clasification

  • clustering

  • outlier detection

  • filtering

  • regression

Explanation

Question 83 of 200

1

semantic analysis

Select one or more of the following:

  • classification

  • network analysis

  • Natural language processing

  • text analytics

  • sentiment analysis

Explanation

Question 84 of 200

1

use statistical methods based on mathematical formulas as means for analizing data

Select one of the following:

  • visual analysis

  • statistical analysis

  • machine learning

Explanation

Question 85 of 200

1

it can also be used to infer patterns ans relationships within the dataset, such as regression and correlation

Select one of the following:

  • statistical analysis

  • semantic analysis

  • analysis topic mapping

Explanation

Question 86 of 200

1

also know as split or bucket testing, compares two versions of an element to determine wich version is superior based on a predefined metric

Select one of the following:

  • correlation

  • A/B testing

  • regression

Explanation

Question 87 of 200

1

A/B testing: the current version of the element is called the ______________ version, whereas the modified version is called the ____________

Select one of the following:

  • official, non official

  • control,reatment

  • principal, copy

Explanation

Question 88 of 200

1

both version, are subjected to an experiment simultaneously. The observationsare recorded to determine wich version is more sccessful

Select one of the following:

  • correlation

  • Regression

  • A/B testing

Explanation

Question 89 of 200

1

Athough ________________________can be implemented in almost domain, it is most often used in marketing

Select one of the following:

  • A/B Testing

  • Regression

  • Correlation

Explanation

Question 90 of 200

1

Generally, the objective is to gauge human behavior with the goal of increasing sales (as per the example below)

Select one of the following:

  • Regression

  • A/B testing

  • Correlation

Explanation

Question 91 of 200

1

is the new version of a drug better than the old one?

Select one of the following:

  • correlation

  • Regression

  • A/B testin

Explanation

Question 92 of 200

1

is an analysis tecnique used to determine whether two variables are related to each other

Select one of the following:

  • Regression

  • Correlation

  • A/B testing

Explanation

Question 93 of 200

1

an example of a relationship between two variables:
The value of variable A increases whenever the value of variable B increases

Select one of the following:

  • Regression

  • A/B testing

  • Correlation

Explanation

Question 94 of 200

1

Helps to develop an understanding of a dataset and find relationships that can assist in explaining a phenomenon

Select one of the following:

  • Correlation

  • Regression

  • A/B testing

Explanation

Question 95 of 200

1

commonly used for data mining where the identification between variables in a dataset leads to the discovery of patterns ans anomalies

Select one of the following:

  • regression

  • correlation

  • A/B testing

Explanation

Question 96 of 200

1

When two variables are considered to be correlated they are considered to be aligned based on a linear relationship

Select one of the following:

  • false

  • true

Explanation

Question 97 of 200

1

This mean that when one variable changes, the other variable also changes proportionally and constantly

Select one of the following:

  • A/B testing

  • regression

  • correlation

Explanation

Question 98 of 200

1

______________________ is expresed a a decimal number between -1 to 1, which is know as the correlation coeficient

Select one of the following:

  • Correlation

  • Regression

  • A/B testing

Explanation

Question 99 of 200

1

Correlation +1

Select one of the following:

  • Suggest that there is a strong positive relationship between the two variables

  • suggests that there is no relationship at between two variables

  • Suggest that there is a strong negative relationship between the two variables (hipotesis)

Explanation

Question 100 of 200

1

0 Correlation

Select one of the following:

  • Suggest that there is a strong positive relationship between the two variables

  • suggests that there is no relationship at between two variables

  • Suggest that there is a strong negative relationship between the two variables (hipotesis)

Explanation

Question 101 of 200

1

-1 Correlation

Select one of the following:

  • Suggest that there is a strong negative relationship between the two variables (hipotesis)

  • suggests that there is no relationship at between two variables

  • Suggest that there is a strong positive relationship between the two variables

Explanation

Question 102 of 200

1

sample: "Do students who perform well at elementary school perform equally well at high school"

Select one of the following:

  • regression

  • Correlation

  • A/B testin

Explanation

Question 103 of 200

1

explores how a dependent variable is related to an independent variable within a dataset

Select one of the following:

  • Correlation

  • Regression

  • A/B Testing

Explanation

Question 104 of 200

1

Helpss determine how the value od dependent variable changes in relation to changes in the value of the independent varible

Select one of the following:

  • Correlation

  • Regression

  • A/B testing

Explanation

Question 105 of 200

1

what the analysts discover is that 15% of additional stock in required for enery 5-degree increase in temperature

Select one of the following:

  • regression

  • correlation

  • A/b testing

Explanation

Question 106 of 200

1

more than one independent variable can be tested at the same time

Select one of the following:

  • A/B testing

  • Regression

  • correlation

Explanation

Question 107 of 200

1

in such cases only one independent variable may change. The others are kept constants

Select one of the following:

  • A/B testing

  • Correlation

  • Regression

Explanation

Question 108 of 200

1

can help enable a better understanding of what a phenomenin is and why it ocurred

Select one of the following:

  • Correlation

  • Regression

  • A/B testing

Explanation

Question 109 of 200

1

represents a constant rate of change

Select one of the following:

  • linear regression

  • Non-linear regression

Explanation

Question 110 of 200

1

Represents the variable rate of change

Select one of the following:

  • linear regression

  • non-linear regression

Explanation

Question 111 of 200

1

what will be the grades of a student studying at a high school based on her primary school grades

Select one of the following:

  • correlation

  • regression

  • A/B testing

Explanation

Question 112 of 200

1

_________________does not imply a causation. The change in the value of one variable may not be responsible for the change in the value of the second variable. although both may change at the same rate

Select one of the following:

  • A/B testing

  • correlation

  • Regression

Explanation

Question 113 of 200

1

assumes that both variables are independent

Select one of the following:

  • Regression

  • correlation

  • A/B testing

Explanation

Question 114 of 200

1

Deals with already identified dependent and independent variables

Select one of the following:

  • Correlation

  • Regression

  • A/B Testing

Explanation

Question 115 of 200

1

_________________ can be applied to further explore the relationship and predict the values of the dependent variable, based on the know values of the independent variable

Select one of the following:

  • correlation

  • Regression

  • A/B testing

Explanation

Question 116 of 200

1

is a form of data analysis that involves the graphic representation of data to enable or enhace its visual perception

Select one of the following:

  • statistical analysis

  • visual analysis

  • semantic analysis

Explanation

Question 117 of 200

1

develop a deeper understanding of the data being analyzed. Specifically, it helps identify and highlight hidden patterns, correlations and anomalies.

Select one of the following:

  • statistical analysis

  • visual analysis

  • semantic analysis

Explanation

Question 118 of 200

1

visual analysis

Select one or more of the following:

  • Heat maps

  • time series analysis

  • outlier detectition

  • network analysis

  • spatial data analysis

Explanation

Question 119 of 200

1

Are an effective visual analysis technique for expressing patterns, data compositions via part-whole relations and geographic distribution of data

Select one of the following:

  • time series analysis

  • heat maps

  • spatial data analysis

Explanation

Question 120 of 200

1

They also facilitate the identification of areas of interest ans the discovery of extreme (high/low) values wihin a dataset

Select one of the following:

  • Network analysis

  • heat maps

  • spatial data analysis

Explanation

Question 121 of 200

1

___________ itself is a visual, color-coded representation of data values

Select one of the following:

  • network analysis

  • heat-maps

  • spatial data analysis

  • time series analysis

Explanation

Question 122 of 200

1

A _______________ can be in the form of a chart or a map, as shown in the following pages

Select one of the following:

  • heat maps

  • time series analysis

  • network analysis

  • spatial data analysis

Explanation

Question 123 of 200

1

A___________ represents a matrix of values in which each cell is color-coded according to the value

Select one of the following:

  • chart

  • map

Explanation

Question 124 of 200

1

A ___________ represents a geographic measure by wich different regions are color-code according to certain theme

Select one of the following:

  • chart

  • map

Explanation

Question 125 of 200

1

How can i visually identify any patterns related to carbon emission across a large number of cities around the world

Select one of the following:

  • Heat maps

  • time series analysis

  • network analysis

  • spatial data analysis

Explanation

Question 126 of 200

1

____________is the analysis of data that is recorded over periodic intervals of time

Select one of the following:

  • heat maps

  • time series analysis

  • network analysis

  • spatial data analysis

Explanation

Question 127 of 200

1

Helps to uncover patterns within data that are time-dependent. Once identified, the patterns can be axtrapollated for future predictions

Select one of the following:

  • heat maps

  • time series analysis

  • network analysis

  • spatial data analysis

Explanation

Question 128 of 200

1

time series analyses are usually used for forecasting by identifiying long-term trends. seasonal periodic patterns and irregular short-term variations in the dataset

Select one of the following:

  • time series analysis

  • heat map

  • network analysis

  • spatial data analysis

Explanation

Question 129 of 200

1

always includes time as a comparision variable

Select one of the following:

  • network analysis

  • heat maps

  • time series analysis

  • spatial data analysis

Explanation

Question 130 of 200

1

is generally expressed using a line chart, with time plotted on the x-axis and the recorded data values plotted on the y-axis

Select one of the following:

  • time series analysis

  • heat map

  • network analysis

  • spatial data analysis

Explanation

Question 131 of 200

1

how much yield should the farmer expect based on historical yield data

Select one of the following:

  • network analysis

  • spatial data analysis

  • heat maps

  • time series analysis

Explanation

Question 132 of 200

1

is an interconected collection of entities

Select one of the following:

  • heat maps

  • time series analysis

  • network analysis

  • spatial data analysis

Explanation

Question 133 of 200

1

An entity can be a person a group or some other business domain object such as a product

Select one of the following:

  • spatial data analysis

  • heat maps

  • time series analysis

  • network analysis

Explanation

Question 134 of 200

1

some conectios may only be one-way, so that transversal in the reverse direction is nor possible

Select one of the following:

  • true

  • false

Explanation

Question 135 of 200

1

is a techniquethat focuses on analizing relationships between entities within the network

Select one of the following:

  • time series analysis

  • heat maps

  • network analysis

  • spatial Data analysis

Explanation

Question 136 of 200

1

There are specialized variations of network analysis

Select one or more of the following:

  • Graphs

  • route optimization

  • social network analysis

  • spread predictions

Explanation

Question 137 of 200

1

is used to find the shortest routes between the central warehouse and remote stores in order to minimize the durations of deliveries

Select one of the following:

  • heat map

  • network analysis

  • spatial data analysis

  • time series analysis

Explanation

Question 138 of 200

1

How can identify interaction patterns among a very large number of protein-to-protein interactiona?

Select one of the following:

  • spatial data analysis

  • network analysis

  • heat maps

  • time series analysis

Explanation

Question 139 of 200

1

is focused on analizing location-based data in order to find different geographic relationships and patterns between entities

Select one of the following:

  • network analysis

  • spatial data analysis

  • time series analysis

  • Heat maps

Explanation

Question 140 of 200

1

____________________________ is manipulated through a geographical information system (Gis) that plots spatial data on a map generally using its longitude and latitude coordinates

Select one of the following:

  • Spatial data

  • structured data

  • unstructured data

Explanation

Question 141 of 200

1

no two stores can be within a distance of 5 kilometers of each other to prevent the stores from competing with each other.

Select one of the following:

  • time series analysis

  • network analysis

  • heat map

  • spatial data analysis

Explanation

Question 142 of 200

1

how far do customers have to commute in order to get to a supermartket?

Select one of the following:

  • spatial data analysis

  • heat maps

  • time series analysis

  • network analysis

Explanation

Question 143 of 200

1

if the human knowledge can be combined with the processing speed of machines, machines will be able to process large amounts of data without requiring much human intervention

Select one of the following:

  • statisctical analysis

  • visual nalysis

  • machine learning

  • semantic analysis

Explanation

Question 144 of 200

1

machine learning

Select one or more of the following:

  • classification

  • time series analysis

  • clustering

  • outlier detection

  • filtering

Explanation

Question 145 of 200

1

Two fundamental laws that pertain to machine learning

Select one or more of the following:

  • law of large numbers

  • law commutative

  • Law of dimishing marginal utility

Explanation

Question 146 of 200

1

the law _____________________________states that the confidence with wich predictions can be made increases as the size of data that is being analyzed increases

Select one of the following:

  • law of large numbers

  • law of dimishing marginal utility

Explanation

Question 147 of 200

1

in other words the accuracy and applicability of the patterns and relationshipsthat are found in a large dataset will be higher that of a smaller dataset

Select one of the following:

  • True
  • False

Explanation

Question 148 of 200

1

the greater the amount of data available for analysis, the better we become of making correct decisions

Select one of the following:

  • True
  • False

Explanation

Question 149 of 200

1

in the context of traditional data analysis, ___________________________ states that, starting with a reasonably large sample size, the value obtained from the analysis of additional data decreases as more data is successively added to the original sample

Select one of the following:

  • the law of diminishing marginal utility

  • the law of large number

Explanation

Question 150 of 200

1

The law of dimishing marginal utility does not apply to big data

Select one of the following:

  • True
  • False

Explanation

Question 151 of 200

1

The greater the volume and variety of data that Big Data solutions can process allows for each additional batch of data to carry greater potential of unearthing new patterns and anomalies. Therefore, the value of each additional batch does not diminish value: rather, it provides more value

Select one of the following:

  • True
  • False

Explanation

Question 152 of 200

1

is a supervised learning technique by witch data is classified into relevant, previously learned categories

Select one of the following:

  • classification

  • clustering

  • outlier detection

  • filtering

Explanation

Question 153 of 200

1

Step 1: The system is fed data that is already categorized or labeled, so that it can develop an understanding of different categories

Select one of the following:

  • clustering

  • classification

  • filtering

  • outlier detection

Explanation

Question 154 of 200

1

step 2: The system is fed unknow (but similar) data for classification, based on the understanding it developed

Select one of the following:

  • classification

  • filtering

  • outlier detection

  • clustering

Explanation

Question 155 of 200

1

A common application of this techniques is for the filtering of e-mail spam. Note that classification can be performed for two or more categories

Select one of the following:

  • filtering

  • clustering

  • classification

  • outlier detection

Explanation

Question 156 of 200

1

Based on old data, a training dataset is compiled that contains tagged examples of customers that have or not previously defaulted

Select one of the following:

  • clustering

  • filtering

  • classification

  • outlier detection

Explanation

Question 157 of 200

1

Does a fingerprint belong to a suspect based on a record of this previous fingerprints

Select one of the following:

  • outlier detection

  • clustering

  • classification

  • filtering

Explanation

Question 158 of 200

1

Is an unsupervised learning technique by wich data is divided into different groups so that the data in each group has similar properties

Select one of the following:

  • classification

  • clustering

  • outlier detection

  • filtering

Explanation

Question 159 of 200

1

There is no prior learning of categories required: instead categories are implicity generated based on the data groupings

Select one of the following:

  • outlier detection

  • clustering

  • filtering

  • classification

Explanation

Question 160 of 200

1

Is generally used in data minig to get an understanding of properties of a given dataset. Afterdeveloping this understanding, classificatioin can be used to make better predictions about similar, but new or unseen data

Select one of the following:

  • classification

  • clustering

  • outlier detection

  • filtering

Explanation

Question 161 of 200

1

In a bank each group is the introduced to one or more financial products most suitable to the characteristics of the overall profile of the group

Select one of the following:

  • clustering

  • filtering

  • outlier detection

  • classification

Explanation

Question 162 of 200

1

How many different categories of elements are there in the periodic table

Select one of the following:

  • classification

  • clustering

  • outlier detection

  • filtering

Explanation

Question 163 of 200

1

Detection is the process of finding data that is significantly different from or inconsistent with the rest of the data within a given dataset

Select one of the following:

  • filtering

  • calssification

  • clustering

  • outlier detection

Explanation

Question 164 of 200

1

this machine learning tecnique is used to identify anomalies, abnormalities and deviations that can be opportunities or risks

Select one of the following:

  • outlier detection

  • classification

  • clustering

  • filtering

Explanation

Question 165 of 200

1

it can be bsaed on either supervised or unsupervised learning

Select one of the following:

  • clustering

  • outlier detection

  • classification

  • filtering

Explanation

Question 166 of 200

1

include fraud detection, medical diagnosis, network data analysis and sensor data analysis

Select one of the following:

  • filtering

  • outlier detection

  • classification

  • clustering

Explanation

Question 167 of 200

1

In order ti find if a transaction is likely to be fraudulent or not, the bank´s IT team builds a sustem emplying ____________________ technique that is based on supervised learning

Select one of the following:

  • classificaction

  • clustering

  • outlier detection

  • filtering

Explanation

Question 168 of 200

1

are there any wrongly identified fruits and vegetables in the training dataset used for classification task

Select one of the following:

  • classification

  • outlier detection

  • clustering

  • filtering

Explanation

Question 169 of 200

1

is the automated process of finding relevant items from a pool of items

Select one of the following:

  • classification

  • clustering

  • outlier detection

  • filtering

Explanation

Question 170 of 200

1

items can be filtered either based on a users own behavior or by matching the behavior of multiple users

Select one of the following:

  • classification

  • clustering

  • outlier detection

  • filtering

Explanation

Question 171 of 200

1

_________________ is generally applied viat the following two approaches

Select one or more of the following:

  • collaborative filtering

  • user behavior

  • content-based filtering

Explanation

Question 172 of 200

1

items can be filtered either based on a users own behavior or by matching the behavior of multiple users

Select one of the following:

  • clustering

  • filtering

  • classification

  • outlier detection

Explanation

Question 173 of 200

1

A common medium by wich ________________is implemented is via the use of a recomender system

Select one of the following:

  • classification

  • clustering

  • outlier detection

  • filtering

Explanation

Question 174 of 200

1

technique based on the collaboration of users past behavior

Select one of the following:

  • collaborative filtering

  • classification

  • clustering

  • outlier detection

  • content-based filtering

Explanation

Question 175 of 200

1

based on the similarityof users behavior, items are filtered for the target user

Select one of the following:

  • classification

  • clustering

  • outlier detection

  • filtering

Explanation

Question 176 of 200

1

is solely based on the similarity between users behavior, and requires a large amount of user behavior data in order to accurately

Select one of the following:

  • filtering

  • classification

  • clustering

  • outlier detection

  • filtering collaborative

Explanation

Question 177 of 200

1

collaborative filtering is an example of application of law of large numbers

Select one of the following:

  • True
  • False

Explanation

Question 178 of 200

1

technique focused on the similarity between users an items

Select one of the following:

  • classification

  • clustering

  • outlier detection

  • filtering

  • content-based filtering

Explanation

Question 179 of 200

1

A user profile is created based on the users past behavior (likes, ratings, purchase history, etc)

Select one of the following:

  • collaborative filtering

  • content_based filtering

Explanation

Question 180 of 200

1

Contrary to collaborative filtering, content-based filtering is solely dedicated to individual user preferences and does not require data about other users

Select one of the following:

  • True
  • False

Explanation

Question 181 of 200

1

A recomender system predicts user preferences and generate suggestions for the user accordingly

Select one of the following:

  • filtering

  • classification

  • clustering

  • outlier detection

Explanation

Question 182 of 200

1

suggestions commonly pertain to recomending items, such as movies, books, web pages, people etc

Select one of the following:

  • clustering

  • classification

  • filtering

  • outlier dtection

Explanation

Question 183 of 200

1

A recomender system typically uses either collaborative filtering or content-based filtering to generate suggestions

Select one of the following:

  • True
  • False

Explanation

Question 184 of 200

1

recommender system may also be based on a hybrid of both collaborative filtering and content-based filtering to fine-tune the accuracy and effectiveness of generated suggestions

Select one of the following:

  • True
  • False

Explanation

Question 185 of 200

1

Based on matches found between financial product purchased by customers and the properties of similar financial products, the recommnder system automates seggestion for potential financial products that customers may also be interested in

Select one of the following:

  • clustering

  • classification

  • filtering

  • outlier detection

Explanation

Question 186 of 200

1

Wich holiday destinations can be recommended based on the travel history of a holiday makes?

Select one of the following:

  • clustering

  • classification

  • outlier detetcion

  • filtering

Explanation

Question 187 of 200

1

A fragment of text or speech data can carry different meanings in different contexts, whereas a complete sentence may retain its meaning, even if structured in different ways. In order for the machines to extract valuable information, text and speech data needs to be understood by the machines in the same way as humans do. Semantic analysis represents practices for extracting meaningful information from textual and speech data

Select one of the following:

  • statistical analysis

  • semantic analysis

  • visual analysis

  • machinne learning

Explanation

Question 188 of 200

1

types of semantic analysis

Select one or more of the following:

  • natural language processing

  • human behavior language

  • text analytics

  • sentimental analysis

Explanation

Question 189 of 200

1

Is a computers ability to comprehend human speech and text as naturally understood by humans

Select one of the following:

  • text analytics

  • Natural language Processing

  • sentiment analysis

Explanation

Question 190 of 200

1

This allows computers to perfom a variety of useful task, such as full-text searches

Select one of the following:

  • Text analysis

  • sentiment analysis

  • Natural language processiing (NLP)

Explanation

Question 191 of 200

1

instead of hard-coding the required learning rules, either supervised or unsupervised machine learning is applied to develop the computer undestanding of the natural language

Select one of the following:

  • text analysis

  • natural language processing

  • sentiment analysis

Explanation

Question 192 of 200

1

in general the more learning data the computer has, the more correctly it can decipher human text and speech

Select one of the following:

  • natural language Processing

  • text analytics

  • sentiment analysis

Explanation

Question 193 of 200

1

Natural language processing includes both text and speech recognition

Select one of the following:

  • True
  • False

Explanation

Question 194 of 200

1

For speech recognition the system attempts to comprehend the speech and then performs an action, such as transcribing text

Select one of the following:

  • text analytics

  • sentiment analysis

  • Natural language processing

Explanation

Question 195 of 200

1

How can grammatical mistakes be automaticalle identified?

Select one of the following:

  • text analytics

  • Natural Language processing

  • sentiment analysis

Explanation

Question 196 of 200

1

Unstructured text is generally much more difficult to analyze and search, compared to structured text

Select one of the following:

  • True
  • False

Explanation

Question 197 of 200

1

is the specialized analysis of text through the application of data mining, machine learning and natural language processing techniques to extract value out of unstructured text. Text analytics essentially provides the ability to discover text rather than just search it

Select one of the following:

  • Natural language processing

  • text analytics

  • sentimente analysis

Explanation

Question 198 of 200

1

useful insights from text-based data can be gained by helping business develop an understanding of the information that is contained within a large body of text

Select one of the following:

  • True
  • False

Explanation

Question 199 of 200

1

the basic tenet of text analytics is to turn unstructured text into data that can be searched and analyzed

Select one of the following:

  • Natural language processing

  • text analytics

  • sentiment analysis

Explanation

Question 200 of 200

1

As the amount of digitized documents, e-mail, social media posts and log files increases, businesses have an increasing need to leverage any value that can be extracted from these forms of semi-structured and unstructured data

Select one of the following:

  • text analytics

  • natural language processing

  • sentiment analysis

Explanation

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