7355402
Descripción
Test por Carolina Colorado, actualizado hace más de 1 año
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Creado por Carolina Colorado
hace casi 8 años
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Pregunta 1
Pregunta
Big data analysis differs from trditional data analysis primary because
Respuesta
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volume, value and varirety
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volume, velocity and variety
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veracity, volume and velocity
Pregunta 2
Pregunta
In big data analysis and analytics, a fundamental step-by-step process is needed to organize the task involved
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retrieving, processing, producing and visualization data
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retrieving, processing, producing and repurposing data
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retrieving, processing, organize and repurposing data
Pregunta 3
Pregunta
which are 1,2 and 3 stages of bigData analysis lifecycle
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Data analysis, data identification and ata extraction
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bussines cased evaluation, data extraction and data analysis
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bussines case evaluation, data identificaction and data acquisition and filtering
Pregunta 4
Pregunta
which are 4,5 and 6 stages of bigData analysis lifecycle
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data analysis, data visualization & utilization of analysis results
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data extraction, data validation & cleansing and data aggregation & representation
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data extraction, data aggregation & representation
Pregunta 5
Pregunta
which are 7,8 and 9 stages of bigData analysis lifecycle
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data analysis, data visualization and utilization of analysis results
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data aggregation & represntation, data analyisis and data visualization
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data identifcation, data acquisition & filtering and data extraction
Pregunta 6
Pregunta
The business case evaluation stage requires that a business case be ________, __________ and ______________ prior to proceeding with the actual hands-on analysis tasks.
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organized, created and approbed
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created, assessed and approbed
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created, organized and analyzed
Pregunta 7
Pregunta
An evaluation of a Big Data analysis bussines case helps decision-makers undertand
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the business resources that will need to be utilized and wich bussines challenges the analysis
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the data that will need to be utilized and wich bussines challenges the analysis
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the business resources that will need to be utilized and wich bussines objectives the analysis
Pregunta 8
Pregunta
The KPIs is ussefull in Business Case Evaluation
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true
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false
Pregunta 9
Pregunta
based on the business requirements documented in the _______________________________ , it can be determined whether the business problems being addresed are really Big data problems
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use case
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business case
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requirements case
Pregunta 10
Pregunta
a bussines problem needs to be directly related to one or more of the big data characteristics
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veracity, velocity or variety
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value, velocity or variety
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volume, velocity or variety
Pregunta 11
Pregunta
Another outcome in Business case evaluation is
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determination of budget required to carry out the analysis project
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determination of data required to carry out the analysis project
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determination of resources required to carry out the analysis project
Pregunta 12
Pregunta
The invesment can be weighed against the expected benefits of achieving the goals
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false
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true
Pregunta 13
Pregunta
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
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false
-
true
Pregunta 14
Pregunta
The data identification stage is dedicated to identifiying the _____________ required for the analysis project
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metadata
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datasets
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datamart
Pregunta 15
Pregunta
identifying a wider variety of data sources may increase the probability of finding
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hidden patterns and aggregations
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hidden patterns and correlations
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hidden resources and datasets
Pregunta 16
Pregunta
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.
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TRUE
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FALSE
Pregunta 17
Pregunta
Depending on the business scope of analysis project and nature of business problems being adressed, the required dataset and their sourcescan be
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structured and not structured
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big or small of all enterprise
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internal or external to enterprise
Pregunta 18
Pregunta
Internal dataset
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data markets and publicly avalaible datasets
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internal sources, such as data marts and operational system
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embedded within blogs or other types of content-based websites
Pregunta 19
Pregunta
external datasets
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strudtured data, unstructured data
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data marts and operational systems
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Case they may need to be harvested via automated tools
Pregunta 20
Pregunta
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
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Data identification
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data acquisition & filtering
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Data aggregation & representation
Pregunta 21
Pregunta
Depending on the type of data source , data may come as a dump of files or may require API integration
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false
-
true
Pregunta 22
Pregunta
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
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Data acquisition & filtering
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Data extraction
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Data validation & cleansing
Pregunta 23
Pregunta
data classified as "corrupt" can include records with missing or nonsensical values or invalid data type
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false
-
true
Pregunta 24
Pregunta
Data thah is filtered out for one analysis may not be valueable for a different type of analysis
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false
-
true
Pregunta 25
Pregunta
it is advisable to store a verbatim copy of the original dataset proceeding with the filtering.
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To save on required storage space, the verbatim copy is compressed after storage
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To save on required storage space, the verbatim copy is compressed before storage
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To save on required storage space, the verbatim copy is compressed in the same time of storage
Pregunta 26
Pregunta
to be persisted once it gets generated or enters the enterprise boundary
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internal data
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internal and external data
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external data
Pregunta 27
Pregunta
The data is persisted to disk prior to analysis
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realtime analytics
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Batch anlytics
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realtime analytics and batch analytics
Pregunta 28
Pregunta
The data is analyzed first and then persisted to disk
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realtime analytics
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batch analytics
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realtime analytics and batch analytics
Pregunta 29
Pregunta
Can be added via automation to data from both internal and external data sources to improve the classification an querying
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info data
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data analysis
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metadata
Pregunta 30
Pregunta
Metadata example can include
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datamart size and structure, source information, date and time of creation or collection, language-specific information etc.
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database size and structure, source information, date and time of creation or collection, language-specific information etc.
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dataset size and structure, source information, date and time of creation or collection, language-specific information etc.
Pregunta 31
Pregunta
it is vital that metadata be machine-readable and passed forward along subsequent analysis stages
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false
-
true
Pregunta 32
Pregunta
This helps to maintain data provenance throughout the Big Data analysis lifecycle, wich helps establish and preserve data accuracy and quality
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metadata
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source information
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date and time of creation or collection
Pregunta 33
Pregunta
Some of the data identified as input for the analysis may arrive in a format incompatible with the big data solution
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true
-
false
Pregunta 34
Pregunta
the need to address disparate types of data is more likely with data from
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internal sources
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external sources
Pregunta 35
Pregunta
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
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Data acquisition & filtering
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data validation & cleansing
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data extraction
Pregunta 36
Pregunta
The extent of extraction and transformation required depends
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on the types of analytics and capabilities of the Big Data solution
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bussines case
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Data extraction
Pregunta 37
Pregunta
Estracting the required fields from delimited textual data (such as with web server log files) may not be necessary
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capabilities of the Big Data Solution
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underlying Big Data solution can already directly process those files
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transforming it into a format that underlying Big Data solution
Pregunta 38
Pregunta
example of document that not need further transformation
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XML and JSON
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facebook and twitter
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image and video
Pregunta 39
Pregunta
The invalid data can
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Skew an falsify analysis results
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Lose business objectives
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Lose the accuracy of the analysis
Pregunta 40
Pregunta
data input into Big Data analyses can be unstructured without any indication of validity
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false
-
true
Pregunta 41
Pregunta
the complexity can further make it easy to arrive at a set of suitable validation constraint
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false
-
true
Pregunta 42
Pregunta
Is dedicated to establishing (often complex) validation rules and removing any know invalid data
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Data acquisition and filtering
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Data validation and cleansing
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Data identification
Pregunta 43
Pregunta
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
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false
-
true
Pregunta 44
Pregunta
For Batch analytics, data validation and cleansing can be achieved via offline
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data minnig
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ELT operation
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ETL operation
Pregunta 45
Pregunta
Data input in Big Data can be unstructured without any indication of validity
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false
-
true
Pregunta 46
Pregunta
provenance can play an important role in determining the accuracy and quality of questionable data
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false
-
true
Pregunta 47
Pregunta
data that appears to be invalid may still be valuable in that it may posses
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most important data
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hidden patterns an trends
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noise
Pregunta 48
Pregunta
Data may be spread across multiple datasets, requiring that datasets be joined together via common files (date or ID)
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false
-
true
Pregunta 49
Pregunta
either way a method of data ________________ is required or the dataset representing ther correct value needs to be determined
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aggregation
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reconciliaton
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representation
Pregunta 50
Pregunta
Dedicated to integrating multiple datasets together to arrive at a unified view
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Data aggregation & representation
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Data extraction
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Data visualization
Pregunta 51
Pregunta
Can become complicated because od differences in : although the data format may be the same, the data model may be different
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semantics
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BD engine
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Data structure
Pregunta 52
Pregunta
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)
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BD engine
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Semantics
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Data structure
Pregunta 53
Pregunta
In data Aggregation & Representation reconciling the differences can required complex logic that is executed ___________________.
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ETL process
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human intervention
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automatically
Pregunta 54
Pregunta
Future data analysis requirements need to be considered during the stage ___________________ to help foster data reusability
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Data extraction
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Data aggregation & REpresentation
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Data validation and cleansing
Pregunta 55
Pregunta
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
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data cleansing
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data aggregation
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filtering
Pregunta 56
Pregunta
A data structured standarized by the Big Data solution can require establishing a central, standard analysis repository, such as a
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untructured database
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structured database
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NoSQL database
Pregunta 57
Pregunta
the data analysis stage is dedicated to carriying out the actual analysis task, which typically involves one or more types of analytics
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data validation %cleansing
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Data Analysis
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Utilization os analysis results
Pregunta 58
Pregunta
This stage can be iterative in nature, because repeated until appropiated pattern or correlation is uncovered
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data aggregation & representation
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Data analysis
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Data extraction
Pregunta 59
Pregunta
The approach taken when carrying out this stage, data analysis, an be classified as ______________________________
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acquisition analysis and filtering analysis
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confirmatory analysis and exploratory analysis
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validation analysis and cleansing
Pregunta 60
Pregunta
___________________________ adata analysis is a deductive approach where the cause of the phenomenon being investigated is proposed beforehand
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Confirmatory analysis
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Exploratory analysis
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Data analysis
Pregunta 61
Pregunta
the proposed cause or assumption is called a
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pattern and trend
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deductive approach
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hypotesis
Pregunta 62
Pregunta
data samples are tipically used
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exploraty analysis
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confirmatory analysis
Pregunta 63
Pregunta
unexpected findings or anomalies are usually ignored since a predetermined cause was assumed
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true
-
false
Pregunta 64
Pregunta
is an inductive approach that is closely associated to data mining
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exploratory data analysis
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confirmatory data analysis
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correlation analysis
Pregunta 65
Pregunta
this analysis provides a general direction that can facilitate the discovery of patterns or annomalies
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confirmation analysis
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Exploratory analysis
Pregunta 66
Pregunta
Large amounts of data and visual analysis are typically used
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Confirmatory analysis
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Exploratory analysis
Pregunta 67
Pregunta
is dedicated to using _____________________ techniques and tools to graphically communicate the analysis results for effective interpretation by bussines users
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Data analysis
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Data visualization
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Utiolization of analysis results
Pregunta 68
Pregunta
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 __________________
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Data validation and cleaning, data extraction
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Data analysis, data aggregation & representation
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Data visualization, Data analysis
Pregunta 69
Pregunta
the same results may be presented ina a number a number of different ways.
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false
-
true
Pregunta 70
Pregunta
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
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true
-
false
Pregunta 71
Pregunta
support businessdecission-making, there may be further opportunieties to utilize the analysis results
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Utilization of analysis results
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Data visualization
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Data analysis
Pregunta 72
Pregunta
The utilization os analysis results is dedicated to determining how and where processed analysis data can be further leveraged
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Utilization of analysis results
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Data visualization
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Data analysis
Pregunta 73
Pregunta
"models" that encapsulated new insights and understandings about the nature of the patterns and realationships that exist within data that was just analyzed
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utilization of analysis results
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Data analysis
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Data validation &cleansing
Pregunta 74
Pregunta
A "model" may look like a
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mathematical equation or a set of rules
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structred database
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the differents datasets
Pregunta 75
Pregunta
Models can be used to improved bussines process logic
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new dataset
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form the basis of a new system or software program
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application system logic
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new bussines case
Pregunta 76
Pregunta
the data analysis results may be automatically or manually fed directly into enterprise systems to enhace and optimize their behavior and performance
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input for enterprise systems
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Bussines process optimization
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Alerts
Pregunta 77
Pregunta
The identiffied patterns correlations and anomalies discovered during the data analysis are used to refine business process
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input for enterprise input
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alerts
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Bussines process optimization
Pregunta 78
Pregunta
Data analysis results can be used as input for existing events that requires them to take corrective action
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input for enterprise input
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business process optimization
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alerts
Pregunta 79
Pregunta
Big data nalysis concepts
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statical
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aggregation
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visual
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machine learning
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Semantic
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Topic mapping
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feelings
Pregunta 80
Pregunta
statistical analysis
Respuesta
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A/B Testing
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heat maps
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correlation
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Regression
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filtering
Pregunta 81
Pregunta
visual Analysis
Respuesta
-
heat maps
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outlier detection
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time series analysis
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Spatial Data Analysis
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Network analysis
Pregunta 82
Pregunta
machine learning
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correlation
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clasification
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clustering
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outlier detection
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filtering
-
regression
Pregunta 83
Pregunta
semantic analysis
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classification
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network analysis
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Natural language processing
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text analytics
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sentiment analysis
Pregunta 84
Pregunta
use statistical methods based on mathematical formulas as means for analizing data
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visual analysis
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statistical analysis
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machine learning
Pregunta 85
Pregunta
it can also be used to infer patterns ans relationships within the dataset, such as regression and correlation
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statistical analysis
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semantic analysis
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analysis topic mapping
Pregunta 86
Pregunta
also know as split or bucket testing, compares two versions of an element to determine wich version is superior based on a predefined metric
Respuesta
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correlation
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A/B testing
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regression
Pregunta 87
Pregunta
A/B testing: the current version of the element is called the ______________ version, whereas the modified version is called the ____________
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official, non official
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control,reatment
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principal, copy
Pregunta 88
Pregunta
both version, are subjected to an experiment simultaneously. The observationsare recorded to determine wich version is more sccessful
Respuesta
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correlation
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Regression
-
A/B testing
Pregunta 89
Pregunta
Athough ________________________can be implemented in almost domain, it is most often used in marketing
Respuesta
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A/B Testing
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Regression
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Correlation
Pregunta 90
Pregunta
Generally, the objective is to gauge human behavior with the goal of increasing sales (as per the example below)
Respuesta
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Regression
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A/B testing
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Correlation
Pregunta 91
Pregunta
is the new version of a drug better than the old one?
Respuesta
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correlation
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Regression
-
A/B testin
Pregunta 92
Pregunta
is an analysis tecnique used to determine whether two variables are related to each other
Respuesta
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Regression
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Correlation
-
A/B testing
Pregunta 93
Pregunta
an example of a relationship between two variables:
The value of variable A increases whenever the value of variable B increases
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Regression
-
A/B testing
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Correlation
Pregunta 94
Pregunta
Helps to develop an understanding of a dataset and find relationships that can assist in explaining a phenomenon
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Correlation
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Regression
-
A/B testing
Pregunta 95
Pregunta
commonly used for data mining where the identification between variables in a dataset leads to the discovery of patterns ans anomalies
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regression
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correlation
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A/B testing
Pregunta 96
Pregunta
When two variables are considered to be correlated they are considered to be aligned based on a linear relationship
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false
-
true
Pregunta 97
Pregunta
This mean that when one variable changes, the other variable also changes proportionally and constantly
Respuesta
-
A/B testing
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regression
-
correlation
Pregunta 98
Pregunta
______________________ is expresed a a decimal number between -1 to 1, which is know as the correlation coeficient
Respuesta
-
Correlation
-
Regression
-
A/B testing
Pregunta 99
Pregunta
Correlation +1
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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)
Pregunta 100
Pregunta
0 Correlation
Respuesta
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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)
Pregunta 101
Pregunta
-1 Correlation
Respuesta
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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
Pregunta 102
Pregunta
sample: "Do students who perform well at elementary school perform equally well at high school"
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regression
-
Correlation
-
A/B testin
Pregunta 103
Pregunta
explores how a dependent variable is related to an independent variable within a dataset
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-
Correlation
-
Regression
-
A/B Testing
Pregunta 104
Pregunta
Helpss determine how the value od dependent variable changes in relation to changes in the value of the independent varible
Respuesta
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Correlation
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Regression
-
A/B testing
Pregunta 105
Pregunta
what the analysts discover is that 15% of additional stock in required for enery 5-degree increase in temperature
Respuesta
-
regression
-
correlation
-
A/b testing
Pregunta 106
Pregunta
more than one independent variable can be tested at the same time
Respuesta
-
A/B testing
-
Regression
-
correlation
Pregunta 107
Pregunta
in such cases only one independent variable may change. The others are kept constants
Respuesta
-
A/B testing
-
Correlation
-
Regression
Pregunta 108
Pregunta
can help enable a better understanding of what a phenomenin is and why it ocurred
Respuesta
-
Correlation
-
Regression
-
A/B testing
Pregunta 109
Pregunta
represents a constant rate of change
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linear regression
-
Non-linear regression
Pregunta 110
Pregunta
Represents the variable rate of change
Respuesta
-
linear regression
-
non-linear regression
Pregunta 111
Pregunta
what will be the grades of a student studying at a high school based on her primary school grades
Respuesta
-
correlation
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regression
-
A/B testing
Pregunta 112
Pregunta
_________________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
Respuesta
-
A/B testing
-
correlation
-
Regression
Pregunta 113
Pregunta
assumes that both variables are independent
Respuesta
-
Regression
-
correlation
-
A/B testing
Pregunta 114
Pregunta
Deals with already identified dependent and independent variables
Respuesta
-
Correlation
-
Regression
-
A/B Testing
Pregunta 115
Pregunta
_________________ 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
Respuesta
-
correlation
-
Regression
-
A/B testing
Pregunta 116
Pregunta
is a form of data analysis that involves the graphic representation of data to enable or enhace its visual perception
Respuesta
-
statistical analysis
-
visual analysis
-
semantic analysis
Pregunta 117
Pregunta
develop a deeper understanding of the data being analyzed. Specifically, it helps identify and highlight hidden patterns, correlations and anomalies.
Respuesta
-
statistical analysis
-
visual analysis
-
semantic analysis
Pregunta 118
Pregunta
visual analysis
Respuesta
-
Heat maps
-
time series analysis
-
outlier detectition
-
network analysis
-
spatial data analysis
Pregunta 119
Pregunta
Are an effective visual analysis technique for expressing patterns, data compositions via part-whole relations and geographic distribution of data
Respuesta
-
time series analysis
-
heat maps
-
spatial data analysis
Pregunta 120
Pregunta
They also facilitate the identification of areas of interest ans the discovery of extreme (high/low) values wihin a dataset
Respuesta
-
Network analysis
-
heat maps
-
spatial data analysis
Pregunta 121
Pregunta
___________ itself is a visual, color-coded representation of data values
Respuesta
-
network analysis
-
heat-maps
-
spatial data analysis
-
time series analysis
Pregunta 122
Pregunta
A _______________ can be in the form of a chart or a map, as shown in the following pages
Respuesta
-
heat maps
-
time series analysis
-
network analysis
-
spatial data analysis
Pregunta 123
Pregunta
A___________ represents a matrix of values in which each cell is color-coded according to the value
Respuesta
-
chart
-
map
Pregunta 124
Pregunta
A ___________ represents a geographic measure by wich different regions are color-code according to certain theme
Respuesta
-
chart
-
map
Pregunta 125
Pregunta
How can i visually identify any patterns related to carbon emission across a large number of cities around the world
Respuesta
-
Heat maps
-
time series analysis
-
network analysis
-
spatial data analysis
Pregunta 126
Pregunta
____________is the analysis of data that is recorded over periodic intervals of time
Respuesta
-
heat maps
-
time series analysis
-
network analysis
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spatial data analysis
Pregunta 127
Pregunta
Helps to uncover patterns within data that are time-dependent. Once identified, the patterns can be axtrapollated for future predictions
Respuesta
-
heat maps
-
time series analysis
-
network analysis
-
spatial data analysis
Pregunta 128
Pregunta
time series analyses are usually used for forecasting by identifiying long-term trends. seasonal periodic patterns and irregular short-term variations in the dataset
Respuesta
-
time series analysis
-
heat map
-
network analysis
-
spatial data analysis
Pregunta 129
Pregunta
always includes time as a comparision variable
Respuesta
-
network analysis
-
heat maps
-
time series analysis
-
spatial data analysis
Pregunta 130
Pregunta
is generally expressed using a line chart, with time plotted on the x-axis and the recorded data values plotted on the y-axis
Respuesta
-
time series analysis
-
heat map
-
network analysis
-
spatial data analysis
Pregunta 131
Pregunta
how much yield should the farmer expect based on historical yield data
Respuesta
-
network analysis
-
spatial data analysis
-
heat maps
-
time series analysis
Pregunta 132
Pregunta
is an interconected collection of entities
Respuesta
-
heat maps
-
time series analysis
-
network analysis
-
spatial data analysis
Pregunta 133
Pregunta
An entity can be a person a group or some other business domain object such as a product
Respuesta
-
spatial data analysis
-
heat maps
-
time series analysis
-
network analysis
Pregunta 134
Pregunta
some conectios may only be one-way, so that transversal in the reverse direction is nor possible
Respuesta
-
true
-
false
Pregunta 135
Pregunta
is a techniquethat focuses on analizing relationships between entities within the network
Respuesta
-
time series analysis
-
heat maps
-
network analysis
-
spatial Data analysis
Pregunta 136
Pregunta
There are specialized variations of network analysis
Respuesta
-
Graphs
-
route optimization
-
social network analysis
-
spread predictions
Pregunta 137
Pregunta
is used to find the shortest routes between the central warehouse and remote stores in order to minimize the durations of deliveries
Respuesta
-
heat map
-
network analysis
-
spatial data analysis
-
time series analysis
Pregunta 138
Pregunta
How can identify interaction patterns among a very large number of protein-to-protein interactiona?
Respuesta
-
spatial data analysis
-
network analysis
-
heat maps
-
time series analysis
Pregunta 139
Pregunta
is focused on analizing location-based data in order to find different geographic relationships and patterns between entities
Respuesta
-
network analysis
-
spatial data analysis
-
time series analysis
-
Heat maps
Pregunta 140
Pregunta
____________________________ is manipulated through a geographical information system (Gis) that plots spatial data on a map generally using its longitude and latitude coordinates
Respuesta
-
Spatial data
-
structured data
-
unstructured data
Pregunta 141
Pregunta
no two stores can be within a distance of 5 kilometers of each other to prevent the stores from competing with each other.
Respuesta
-
time series analysis
-
network analysis
-
heat map
-
spatial data analysis
Pregunta 142
Pregunta
how far do customers have to commute in order to get to a supermartket?
Respuesta
-
spatial data analysis
-
heat maps
-
time series analysis
-
network analysis
Pregunta 143
Pregunta
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
Respuesta
-
statisctical analysis
-
visual nalysis
-
machine learning
-
semantic analysis
Pregunta 144
Pregunta
machine learning
Respuesta
-
classification
-
time series analysis
-
clustering
-
outlier detection
-
filtering
Pregunta 145
Pregunta
Two fundamental laws that pertain to machine learning
Respuesta
-
law of large numbers
-
law commutative
-
Law of dimishing marginal utility
Pregunta 146
Pregunta
the law _____________________________states that the confidence with wich predictions can be made increases as the size of data that is being analyzed increases
Respuesta
-
law of large numbers
-
law of dimishing marginal utility
Pregunta 147
Pregunta
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
Respuesta
- True
- False
Pregunta 148
Pregunta
the greater the amount of data available for analysis, the better we become of making correct decisions
Respuesta
- True
- False
Pregunta 149
Pregunta
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
Respuesta
-
the law of diminishing marginal utility
-
the law of large number
Pregunta 150
Pregunta
The law of dimishing marginal utility does not apply to big data
Respuesta
- True
- False
Pregunta 151
Pregunta
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
Respuesta
- True
- False
Pregunta 152
Pregunta
is a supervised learning technique by witch data is classified into relevant, previously learned categories
Respuesta
-
classification
-
clustering
-
outlier detection
-
filtering
Pregunta 153
Pregunta
Step 1: The system is fed data that is already categorized or labeled, so that it can develop an understanding of different categories
Respuesta
-
clustering
-
classification
-
filtering
-
outlier detection
Pregunta 154
Pregunta
step 2: The system is fed unknow (but similar) data for classification, based on the understanding it developed
Respuesta
-
classification
-
filtering
-
outlier detection
-
clustering
Pregunta 155
Pregunta
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
Respuesta
-
filtering
-
clustering
-
classification
-
outlier detection
Pregunta 156
Pregunta
Based on old data, a training dataset is compiled that contains tagged examples of customers that have or not previously defaulted
Respuesta
-
clustering
-
filtering
-
classification
-
outlier detection
Pregunta 157
Pregunta
Does a fingerprint belong to a suspect based on a record of this previous fingerprints
Respuesta
-
outlier detection
-
clustering
-
classification
-
filtering
Pregunta 158
Pregunta
Is an unsupervised learning technique by wich data is divided into different groups so that the data in each group has similar properties
Respuesta
-
classification
-
clustering
-
outlier detection
-
filtering
Pregunta 159
Pregunta
There is no prior learning of categories required: instead categories are implicity generated based on the data groupings
Respuesta
-
outlier detection
-
clustering
-
filtering
-
classification
Pregunta 160
Pregunta
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
Respuesta
-
classification
-
clustering
-
outlier detection
-
filtering
Pregunta 161
Pregunta
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
Respuesta
-
clustering
-
filtering
-
outlier detection
-
classification
Pregunta 162
Pregunta
How many different categories of elements are there in the periodic table
Respuesta
-
classification
-
clustering
-
outlier detection
-
filtering
Pregunta 163
Pregunta
Detection is the process of finding data that is significantly different from or inconsistent with the rest of the data within a given dataset
Respuesta
-
filtering
-
calssification
-
clustering
-
outlier detection
Pregunta 164
Pregunta
this machine learning tecnique is used to identify anomalies, abnormalities and deviations that can be opportunities or risks
Respuesta
-
outlier detection
-
classification
-
clustering
-
filtering
Pregunta 165
Pregunta
it can be bsaed on either supervised or unsupervised learning
Respuesta
-
clustering
-
outlier detection
-
classification
-
filtering
Pregunta 166
Pregunta
include fraud detection, medical diagnosis, network data analysis and sensor data analysis
Respuesta
-
filtering
-
outlier detection
-
classification
-
clustering
Pregunta 167
Pregunta
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
Respuesta
-
classificaction
-
clustering
-
outlier detection
-
filtering
Pregunta 168
Pregunta
are there any wrongly identified fruits and vegetables in the training dataset used for classification task
Respuesta
-
classification
-
outlier detection
-
clustering
-
filtering
Pregunta 169
Pregunta
is the automated process of finding relevant items from a pool of items
Respuesta
-
classification
-
clustering
-
outlier detection
-
filtering
Pregunta 170
Pregunta
items can be filtered either based on a users own behavior or by matching the behavior of multiple users
Respuesta
-
classification
-
clustering
-
outlier detection
-
filtering
Pregunta 171
Pregunta
_________________ is generally applied viat the following two approaches
Respuesta
-
collaborative filtering
-
user behavior
-
content-based filtering
Pregunta 172
Pregunta
items can be filtered either based on a users own behavior or by matching the behavior of multiple users
Respuesta
-
clustering
-
filtering
-
classification
-
outlier detection
Pregunta 173
Pregunta
A common medium by wich ________________is implemented is via the use of a recomender system
Respuesta
-
classification
-
clustering
-
outlier detection
-
filtering
Pregunta 174
Pregunta
technique based on the collaboration of users past behavior
Respuesta
-
collaborative filtering
-
classification
-
clustering
-
outlier detection
-
content-based filtering
Pregunta 175
Pregunta
based on the similarityof users behavior, items are filtered for the target user
Respuesta
-
classification
-
clustering
-
outlier detection
-
filtering
Pregunta 176
Pregunta
is solely based on the similarity between users behavior, and requires a large amount of user behavior data in order to accurately
Respuesta
-
filtering
-
classification
-
clustering
-
outlier detection
-
filtering collaborative
Pregunta 177
Pregunta
collaborative filtering is an example of application of law of large numbers
Respuesta
- True
- False
Pregunta 178
Pregunta
technique focused on the similarity between users an items
Respuesta
-
classification
-
clustering
-
outlier detection
-
filtering
-
content-based filtering
Pregunta 179
Pregunta
A user profile is created based on the users past behavior (likes, ratings, purchase history, etc)
Respuesta
-
collaborative filtering
-
content_based filtering
Pregunta 180
Pregunta
Contrary to collaborative filtering, content-based filtering is solely dedicated to individual user preferences and does not require data about other users
Respuesta
- True
- False
Pregunta 181
Pregunta
A recomender system predicts user preferences and generate suggestions for the user accordingly
Respuesta
-
filtering
-
classification
-
clustering
-
outlier detection
Pregunta 182
Pregunta
suggestions commonly pertain to recomending items, such as movies, books, web pages, people etc
Respuesta
-
clustering
-
classification
-
filtering
-
outlier dtection
Pregunta 183
Pregunta
A recomender system typically uses either collaborative filtering or content-based filtering to generate suggestions
Respuesta
- True
- False
Pregunta 184
Pregunta
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
Respuesta
- True
- False
Pregunta 185
Pregunta
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
Respuesta
-
clustering
-
classification
-
filtering
-
outlier detection
Pregunta 186
Pregunta
Wich holiday destinations can be recommended based on the travel history of a holiday makes?
Respuesta
-
clustering
-
classification
-
outlier detetcion
-
filtering
Pregunta 187
Pregunta
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
Respuesta
-
statistical analysis
-
semantic analysis
-
visual analysis
-
machinne learning
Pregunta 188
Pregunta
types of semantic analysis
Respuesta
-
natural language processing
-
human behavior language
-
text analytics
-
sentimental analysis
Pregunta 189
Pregunta
Is a computers ability to comprehend human speech and text as naturally understood by humans
Respuesta
-
text analytics
-
Natural language Processing
-
sentiment analysis
Pregunta 190
Pregunta
This allows computers to perfom a variety of useful task, such as full-text searches
Respuesta
-
Text analysis
-
sentiment analysis
-
Natural language processiing (NLP)
Pregunta 191
Pregunta
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
Respuesta
-
text analysis
-
natural language processing
-
sentiment analysis
Pregunta 192
Pregunta
in general the more learning data the computer has, the more correctly it can decipher human text and speech
Respuesta
-
natural language Processing
-
text analytics
-
sentiment analysis
Pregunta 193
Pregunta
Natural language processing includes both text and speech recognition
Respuesta
- True
- False
Pregunta 194
Pregunta
For speech recognition the system attempts to comprehend the speech and then performs an action, such as transcribing text
Respuesta
-
text analytics
-
sentiment analysis
-
Natural language processing
Pregunta 195
Pregunta
How can grammatical mistakes be automaticalle identified?
Respuesta
-
text analytics
-
Natural Language processing
-
sentiment analysis
Pregunta 196
Pregunta
Unstructured text is generally much more difficult to analyze and search, compared to structured text
Respuesta
- True
- False
Pregunta 197
Pregunta
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
Respuesta
-
Natural language processing
-
text analytics
-
sentimente analysis
Pregunta 198
Pregunta
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
Respuesta
- True
- False
Pregunta 199
Pregunta
the basic tenet of text analytics is to turn unstructured text into data that can be searched and analyzed
Respuesta
-
Natural language processing
-
text analytics
-
sentiment analysis
Pregunta 200
Pregunta
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
Respuesta
-
text analytics
-
natural language processing
-
sentiment analysis
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