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P1-Modulo 2 : Big data analysis y technology concepts

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modulo 2 Big Data
Carolina Colorado
Quiz por Carolina Colorado, atualizado more than 1 year ago
Carolina Colorado
Criado por Carolina Colorado mais de 7 anos atrás
61
2
0

Resumo de Recurso

Questão 1

Questão
Big data analysis differs from trditional data analysis primary because
Responda
  • volume, value and varirety
  • volume, velocity and variety
  • veracity, volume and velocity

Questão 2

Questão
In big data analysis and analytics, a fundamental step-by-step process is needed to organize the task involved
Responda
  • retrieving, processing, producing and visualization data
  • retrieving, processing, producing and repurposing data
  • retrieving, processing, organize and repurposing data

Questão 3

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

Questão 4

Questão
which are 4,5 and 6 stages of bigData analysis lifecycle
Responda
  • data analysis, data visualization & utilization of analysis results
  • data extraction, data validation & cleansing and data aggregation & representation
  • data extraction, data aggregation & representation

Questão 5

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

Questão 6

Questão
The business case evaluation stage requires that a business case be ________, __________ and ______________ prior to proceeding with the actual hands-on analysis tasks.
Responda
  • organized, created and approbed
  • created, assessed and approbed
  • created, organized and analyzed

Questão 7

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

Questão 8

Questão
The KPIs is ussefull in Business Case Evaluation
Responda
  • true
  • false

Questão 9

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

Questão 10

Questão
a bussines problem needs to be directly related to one or more of the big data characteristics
Responda
  • veracity, velocity or variety
  • value, velocity or variety
  • volume, velocity or variety

Questão 11

Questão
Another outcome in Business case evaluation is
Responda
  • 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

Questão 12

Questão
The invesment can be weighed against the expected benefits of achieving the goals
Responda
  • false
  • true

Questão 13

Questão
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
Responda
  • false
  • true

Questão 14

Questão
The data identification stage is dedicated to identifiying the _____________ required for the analysis project
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  • metadata
  • datasets
  • datamart

Questão 15

Questão
identifying a wider variety of data sources may increase the probability of finding
Responda
  • hidden patterns and aggregations
  • hidden patterns and correlations
  • hidden resources and datasets

Questão 16

Questão
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
  • FALSE

Questão 17

Questão
Depending on the business scope of analysis project and nature of business problems being adressed, the required dataset and their sourcescan be
Responda
  • structured and not structured
  • big or small of all enterprise
  • internal or external to enterprise

Questão 18

Questão
Internal dataset
Responda
  • 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

Questão 19

Questão
external datasets
Responda
  • strudtured data, unstructured data
  • data marts and operational systems
  • Case they may need to be harvested via automated tools

Questão 20

Questão
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
Responda
  • Data identification
  • data acquisition & filtering
  • Data aggregation & representation

Questão 21

Questão
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

Questão 22

Questão
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
  • Data extraction
  • Data validation & cleansing

Questão 23

Questão
data classified as "corrupt" can include records with missing or nonsensical values or invalid data type
Responda
  • false
  • true

Questão 24

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

Questão 25

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

Questão 26

Questão
to be persisted once it gets generated or enters the enterprise boundary
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  • internal data
  • internal and external data
  • external data

Questão 27

Questão
The data is persisted to disk prior to analysis
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  • realtime analytics
  • Batch anlytics
  • realtime analytics and batch analytics

Questão 28

Questão
The data is analyzed first and then persisted to disk
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  • realtime analytics
  • batch analytics
  • realtime analytics and batch analytics

Questão 29

Questão
Can be added via automation to data from both internal and external data sources to improve the classification an querying
Responda
  • info data
  • data analysis
  • metadata

Questão 30

Questão
Metadata example can include
Responda
  • 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.

Questão 31

Questão
it is vital that metadata be machine-readable and passed forward along subsequent analysis stages
Responda
  • false
  • true

Questão 32

Questão
This helps to maintain data provenance throughout the Big Data analysis lifecycle, wich helps establish and preserve data accuracy and quality
Responda
  • metadata
  • source information
  • date and time of creation or collection

Questão 33

Questão
Some of the data identified as input for the analysis may arrive in a format incompatible with the big data solution
Responda
  • true
  • false

Questão 34

Questão
the need to address disparate types of data is more likely with data from
Responda
  • internal sources
  • external sources

Questão 35

Questão
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
Responda
  • Data acquisition & filtering
  • data validation & cleansing
  • data extraction

Questão 36

Questão
The extent of extraction and transformation required depends
Responda
  • on the types of analytics and capabilities of the Big Data solution
  • bussines case
  • Data extraction

Questão 37

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

Questão 38

Questão
example of document that not need further transformation
Responda
  • XML and JSON
  • facebook and twitter
  • image and video

Questão 39

Questão
The invalid data can
Responda
  • Skew an falsify analysis results
  • Lose business objectives
  • Lose the accuracy of the analysis

Questão 40

Questão
data input into Big Data analyses can be unstructured without any indication of validity
Responda
  • false
  • true

Questão 41

Questão
the complexity can further make it easy to arrive at a set of suitable validation constraint
Responda
  • false
  • true

Questão 42

Questão
Is dedicated to establishing (often complex) validation rules and removing any know invalid data
Responda
  • Data acquisition and filtering
  • Data validation and cleansing
  • Data identification

Questão 43

Questão
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
Responda
  • false
  • true

Questão 44

Questão
For Batch analytics, data validation and cleansing can be achieved via offline
Responda
  • data minnig
  • ELT operation
  • ETL operation

Questão 45

Questão
Data input in Big Data can be unstructured without any indication of validity
Responda
  • false
  • true

Questão 46

Questão
provenance can play an important role in determining the accuracy and quality of questionable data
Responda
  • false
  • true

Questão 47

Questão
data that appears to be invalid may still be valuable in that it may posses
Responda
  • most important data
  • hidden patterns an trends
  • noise

Questão 48

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

Questão 49

Questão
either way a method of data ________________ is required or the dataset representing ther correct value needs to be determined
Responda
  • aggregation
  • reconciliaton
  • representation

Questão 50

Questão
Dedicated to integrating multiple datasets together to arrive at a unified view
Responda
  • Data aggregation & representation
  • Data extraction
  • Data visualization

Questão 51

Questão
Can become complicated because od differences in : although the data format may be the same, the data model may be different
Responda
  • semantics
  • BD engine
  • Data structure

Questão 52

Questão
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)
Responda
  • BD engine
  • Semantics
  • Data structure

Questão 53

Questão
In data Aggregation & Representation reconciling the differences can required complex logic that is executed ___________________.
Responda
  • ETL process
  • human intervention
  • automatically

Questão 54

Questão
Future data analysis requirements need to be considered during the stage ___________________ to help foster data reusability
Responda
  • Data extraction
  • Data aggregation & REpresentation
  • Data validation and cleansing

Questão 55

Questão
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
Responda
  • data cleansing
  • data aggregation
  • filtering

Questão 56

Questão
A data structured standarized by the Big Data solution can require establishing a central, standard analysis repository, such as a
Responda
  • untructured database
  • structured database
  • NoSQL database

Questão 57

Questão
the data analysis stage is dedicated to carriying out the actual analysis task, which typically involves one or more types of analytics
Responda
  • data validation %cleansing
  • Data Analysis
  • Utilization os analysis results

Questão 58

Questão
This stage can be iterative in nature, because repeated until appropiated pattern or correlation is uncovered
Responda
  • data aggregation & representation
  • Data analysis
  • Data extraction

Questão 59

Questão
The approach taken when carrying out this stage, data analysis, an be classified as ______________________________
Responda
  • acquisition analysis and filtering analysis
  • confirmatory analysis and exploratory analysis
  • validation analysis and cleansing

Questão 60

Questão
___________________________ adata analysis is a deductive approach where the cause of the phenomenon being investigated is proposed beforehand
Responda
  • Confirmatory analysis
  • Exploratory analysis
  • Data analysis

Questão 61

Questão
the proposed cause or assumption is called a
Responda
  • pattern and trend
  • deductive approach
  • hypotesis

Questão 62

Questão
data samples are tipically used
Responda
  • exploraty analysis
  • confirmatory analysis

Questão 63

Questão
unexpected findings or anomalies are usually ignored since a predetermined cause was assumed
Responda
  • true
  • false

Questão 64

Questão
is an inductive approach that is closely associated to data mining
Responda
  • exploratory data analysis
  • confirmatory data analysis
  • correlation analysis

Questão 65

Questão
this analysis provides a general direction that can facilitate the discovery of patterns or annomalies
Responda
  • confirmation analysis
  • Exploratory analysis

Questão 66

Questão
Large amounts of data and visual analysis are typically used
Responda
  • Confirmatory analysis
  • Exploratory analysis

Questão 67

Questão
is dedicated to using _____________________ techniques and tools to graphically communicate the analysis results for effective interpretation by bussines users
Responda
  • Data analysis
  • Data visualization
  • Utiolization of analysis results

Questão 68

Questão
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 __________________
Responda
  • Data validation and cleaning, data extraction
  • Data analysis, data aggregation & representation
  • Data visualization, Data analysis

Questão 69

Questão
the same results may be presented ina a number a number of different ways.
Responda
  • false
  • true

Questão 70

Questão
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
Responda
  • true
  • false

Questão 71

Questão
support businessdecission-making, there may be further opportunieties to utilize the analysis results
Responda
  • Utilization of analysis results
  • Data visualization
  • Data analysis

Questão 72

Questão
The utilization os analysis results is dedicated to determining how and where processed analysis data can be further leveraged
Responda
  • Utilization of analysis results
  • Data visualization
  • Data analysis

Questão 73

Questão
"models" that encapsulated new insights and understandings about the nature of the patterns and realationships that exist within data that was just analyzed
Responda
  • utilization of analysis results
  • Data analysis
  • Data validation &cleansing

Questão 74

Questão
A "model" may look like a
Responda
  • mathematical equation or a set of rules
  • structred database
  • the differents datasets

Questão 75

Questão
Models can be used to improved bussines process logic
Responda
  • new dataset
  • form the basis of a new system or software program
  • application system logic
  • new bussines case

Questão 76

Questão
the data analysis results may be automatically or manually fed directly into enterprise systems to enhace and optimize their behavior and performance
Responda
  • input for enterprise systems
  • Bussines process optimization
  • Alerts

Questão 77

Questão
The identiffied patterns correlations and anomalies discovered during the data analysis are used to refine business process
Responda
  • input for enterprise input
  • alerts
  • Bussines process optimization

Questão 78

Questão
Data analysis results can be used as input for existing events that requires them to take corrective action
Responda
  • input for enterprise input
  • business process optimization
  • alerts

Questão 79

Questão
Big data nalysis concepts
Responda
  • statical
  • aggregation
  • visual
  • machine learning
  • Semantic
  • Topic mapping
  • feelings

Questão 80

Questão
statistical analysis
Responda
  • A/B Testing
  • heat maps
  • correlation
  • Regression
  • filtering

Questão 81

Questão
visual Analysis
Responda
  • heat maps
  • outlier detection
  • time series analysis
  • Spatial Data Analysis
  • Network analysis

Questão 82

Questão
machine learning
Responda
  • correlation
  • clasification
  • clustering
  • outlier detection
  • filtering
  • regression

Questão 83

Questão
semantic analysis
Responda
  • classification
  • network analysis
  • Natural language processing
  • text analytics
  • sentiment analysis

Questão 84

Questão
use statistical methods based on mathematical formulas as means for analizing data
Responda
  • visual analysis
  • statistical analysis
  • machine learning

Questão 85

Questão
it can also be used to infer patterns ans relationships within the dataset, such as regression and correlation
Responda
  • statistical analysis
  • semantic analysis
  • analysis topic mapping

Questão 86

Questão
also know as split or bucket testing, compares two versions of an element to determine wich version is superior based on a predefined metric
Responda
  • correlation
  • A/B testing
  • regression

Questão 87

Questão
A/B testing: the current version of the element is called the ______________ version, whereas the modified version is called the ____________
Responda
  • official, non official
  • control,reatment
  • principal, copy

Questão 88

Questão
both version, are subjected to an experiment simultaneously. The observationsare recorded to determine wich version is more sccessful
Responda
  • correlation
  • Regression
  • A/B testing

Questão 89

Questão
Athough ________________________can be implemented in almost domain, it is most often used in marketing
Responda
  • A/B Testing
  • Regression
  • Correlation

Questão 90

Questão
Generally, the objective is to gauge human behavior with the goal of increasing sales (as per the example below)
Responda
  • Regression
  • A/B testing
  • Correlation

Questão 91

Questão
is the new version of a drug better than the old one?
Responda
  • correlation
  • Regression
  • A/B testin

Questão 92

Questão
is an analysis tecnique used to determine whether two variables are related to each other
Responda
  • Regression
  • Correlation
  • A/B testing

Questão 93

Questão
an example of a relationship between two variables: The value of variable A increases whenever the value of variable B increases
Responda
  • Regression
  • A/B testing
  • Correlation

Questão 94

Questão
Helps to develop an understanding of a dataset and find relationships that can assist in explaining a phenomenon
Responda
  • Correlation
  • Regression
  • A/B testing

Questão 95

Questão
commonly used for data mining where the identification between variables in a dataset leads to the discovery of patterns ans anomalies
Responda
  • regression
  • correlation
  • A/B testing

Questão 96

Questão
When two variables are considered to be correlated they are considered to be aligned based on a linear relationship
Responda
  • false
  • true

Questão 97

Questão
This mean that when one variable changes, the other variable also changes proportionally and constantly
Responda
  • A/B testing
  • regression
  • correlation

Questão 98

Questão
______________________ is expresed a a decimal number between -1 to 1, which is know as the correlation coeficient
Responda
  • Correlation
  • Regression
  • A/B testing

Questão 99

Questão
Correlation +1
Responda
  • 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)

Questão 100

Questão
0 Correlation
Responda
  • 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)

Questão 101

Questão
-1 Correlation
Responda
  • 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

Questão 102

Questão
sample: "Do students who perform well at elementary school perform equally well at high school"
Responda
  • regression
  • Correlation
  • A/B testin

Questão 103

Questão
explores how a dependent variable is related to an independent variable within a dataset
Responda
  • Correlation
  • Regression
  • A/B Testing

Questão 104

Questão
Helpss determine how the value od dependent variable changes in relation to changes in the value of the independent varible
Responda
  • Correlation
  • Regression
  • A/B testing

Questão 105

Questão
what the analysts discover is that 15% of additional stock in required for enery 5-degree increase in temperature
Responda
  • regression
  • correlation
  • A/b testing

Questão 106

Questão
more than one independent variable can be tested at the same time
Responda
  • A/B testing
  • Regression
  • correlation

Questão 107

Questão
in such cases only one independent variable may change. The others are kept constants
Responda
  • A/B testing
  • Correlation
  • Regression

Questão 108

Questão
can help enable a better understanding of what a phenomenin is and why it ocurred
Responda
  • Correlation
  • Regression
  • A/B testing

Questão 109

Questão
represents a constant rate of change
Responda
  • linear regression
  • Non-linear regression

Questão 110

Questão
Represents the variable rate of change
Responda
  • linear regression
  • non-linear regression

Questão 111

Questão
what will be the grades of a student studying at a high school based on her primary school grades
Responda
  • correlation
  • regression
  • A/B testing

Questão 112

Questão
_________________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
Responda
  • A/B testing
  • correlation
  • Regression

Questão 113

Questão
assumes that both variables are independent
Responda
  • Regression
  • correlation
  • A/B testing

Questão 114

Questão
Deals with already identified dependent and independent variables
Responda
  • Correlation
  • Regression
  • A/B Testing

Questão 115

Questão
_________________ 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
Responda
  • correlation
  • Regression
  • A/B testing

Questão 116

Questão
is a form of data analysis that involves the graphic representation of data to enable or enhace its visual perception
Responda
  • statistical analysis
  • visual analysis
  • semantic analysis

Questão 117

Questão
develop a deeper understanding of the data being analyzed. Specifically, it helps identify and highlight hidden patterns, correlations and anomalies.
Responda
  • statistical analysis
  • visual analysis
  • semantic analysis

Questão 118

Questão
visual analysis
Responda
  • Heat maps
  • time series analysis
  • outlier detectition
  • network analysis
  • spatial data analysis

Questão 119

Questão
Are an effective visual analysis technique for expressing patterns, data compositions via part-whole relations and geographic distribution of data
Responda
  • time series analysis
  • heat maps
  • spatial data analysis

Questão 120

Questão
They also facilitate the identification of areas of interest ans the discovery of extreme (high/low) values wihin a dataset
Responda
  • Network analysis
  • heat maps
  • spatial data analysis

Questão 121

Questão
___________ itself is a visual, color-coded representation of data values
Responda
  • network analysis
  • heat-maps
  • spatial data analysis
  • time series analysis

Questão 122

Questão
A _______________ can be in the form of a chart or a map, as shown in the following pages
Responda
  • heat maps
  • time series analysis
  • network analysis
  • spatial data analysis

Questão 123

Questão
A___________ represents a matrix of values in which each cell is color-coded according to the value
Responda
  • chart
  • map

Questão 124

Questão
A ___________ represents a geographic measure by wich different regions are color-code according to certain theme
Responda
  • chart
  • map

Questão 125

Questão
How can i visually identify any patterns related to carbon emission across a large number of cities around the world
Responda
  • Heat maps
  • time series analysis
  • network analysis
  • spatial data analysis

Questão 126

Questão
____________is the analysis of data that is recorded over periodic intervals of time
Responda
  • heat maps
  • time series analysis
  • network analysis
  • spatial data analysis

Questão 127

Questão
Helps to uncover patterns within data that are time-dependent. Once identified, the patterns can be axtrapollated for future predictions
Responda
  • heat maps
  • time series analysis
  • network analysis
  • spatial data analysis

Questão 128

Questão
time series analyses are usually used for forecasting by identifiying long-term trends. seasonal periodic patterns and irregular short-term variations in the dataset
Responda
  • time series analysis
  • heat map
  • network analysis
  • spatial data analysis

Questão 129

Questão
always includes time as a comparision variable
Responda
  • network analysis
  • heat maps
  • time series analysis
  • spatial data analysis

Questão 130

Questão
is generally expressed using a line chart, with time plotted on the x-axis and the recorded data values plotted on the y-axis
Responda
  • time series analysis
  • heat map
  • network analysis
  • spatial data analysis

Questão 131

Questão
how much yield should the farmer expect based on historical yield data
Responda
  • network analysis
  • spatial data analysis
  • heat maps
  • time series analysis

Questão 132

Questão
is an interconected collection of entities
Responda
  • heat maps
  • time series analysis
  • network analysis
  • spatial data analysis

Questão 133

Questão
An entity can be a person a group or some other business domain object such as a product
Responda
  • spatial data analysis
  • heat maps
  • time series analysis
  • network analysis

Questão 134

Questão
some conectios may only be one-way, so that transversal in the reverse direction is nor possible
Responda
  • true
  • false

Questão 135

Questão
is a techniquethat focuses on analizing relationships between entities within the network
Responda
  • time series analysis
  • heat maps
  • network analysis
  • spatial Data analysis

Questão 136

Questão
There are specialized variations of network analysis
Responda
  • Graphs
  • route optimization
  • social network analysis
  • spread predictions

Questão 137

Questão
is used to find the shortest routes between the central warehouse and remote stores in order to minimize the durations of deliveries
Responda
  • heat map
  • network analysis
  • spatial data analysis
  • time series analysis

Questão 138

Questão
How can identify interaction patterns among a very large number of protein-to-protein interactiona?
Responda
  • spatial data analysis
  • network analysis
  • heat maps
  • time series analysis

Questão 139

Questão
is focused on analizing location-based data in order to find different geographic relationships and patterns between entities
Responda
  • network analysis
  • spatial data analysis
  • time series analysis
  • Heat maps

Questão 140

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

Questão 141

Questão
no two stores can be within a distance of 5 kilometers of each other to prevent the stores from competing with each other.
Responda
  • time series analysis
  • network analysis
  • heat map
  • spatial data analysis

Questão 142

Questão
how far do customers have to commute in order to get to a supermartket?
Responda
  • spatial data analysis
  • heat maps
  • time series analysis
  • network analysis

Questão 143

Questão
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
Responda
  • statisctical analysis
  • visual nalysis
  • machine learning
  • semantic analysis

Questão 144

Questão
machine learning
Responda
  • classification
  • time series analysis
  • clustering
  • outlier detection
  • filtering

Questão 145

Questão
Two fundamental laws that pertain to machine learning
Responda
  • law of large numbers
  • law commutative
  • Law of dimishing marginal utility

Questão 146

Questão
the law _____________________________states that the confidence with wich predictions can be made increases as the size of data that is being analyzed increases
Responda
  • law of large numbers
  • law of dimishing marginal utility

Questão 147

Questão
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
Responda
  • True
  • False

Questão 148

Questão
the greater the amount of data available for analysis, the better we become of making correct decisions
Responda
  • True
  • False

Questão 149

Questão
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
Responda
  • the law of diminishing marginal utility
  • the law of large number

Questão 150

Questão
The law of dimishing marginal utility does not apply to big data
Responda
  • True
  • False

Questão 151

Questão
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
Responda
  • True
  • False

Questão 152

Questão
is a supervised learning technique by witch data is classified into relevant, previously learned categories
Responda
  • classification
  • clustering
  • outlier detection
  • filtering

Questão 153

Questão
Step 1: The system is fed data that is already categorized or labeled, so that it can develop an understanding of different categories
Responda
  • clustering
  • classification
  • filtering
  • outlier detection

Questão 154

Questão
step 2: The system is fed unknow (but similar) data for classification, based on the understanding it developed
Responda
  • classification
  • filtering
  • outlier detection
  • clustering

Questão 155

Questão
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
Responda
  • filtering
  • clustering
  • classification
  • outlier detection

Questão 156

Questão
Based on old data, a training dataset is compiled that contains tagged examples of customers that have or not previously defaulted
Responda
  • clustering
  • filtering
  • classification
  • outlier detection

Questão 157

Questão
Does a fingerprint belong to a suspect based on a record of this previous fingerprints
Responda
  • outlier detection
  • clustering
  • classification
  • filtering

Questão 158

Questão
Is an unsupervised learning technique by wich data is divided into different groups so that the data in each group has similar properties
Responda
  • classification
  • clustering
  • outlier detection
  • filtering

Questão 159

Questão
There is no prior learning of categories required: instead categories are implicity generated based on the data groupings
Responda
  • outlier detection
  • clustering
  • filtering
  • classification

Questão 160

Questão
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
Responda
  • classification
  • clustering
  • outlier detection
  • filtering

Questão 161

Questão
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
Responda
  • clustering
  • filtering
  • outlier detection
  • classification

Questão 162

Questão
How many different categories of elements are there in the periodic table
Responda
  • classification
  • clustering
  • outlier detection
  • filtering

Questão 163

Questão
Detection is the process of finding data that is significantly different from or inconsistent with the rest of the data within a given dataset
Responda
  • filtering
  • calssification
  • clustering
  • outlier detection

Questão 164

Questão
this machine learning tecnique is used to identify anomalies, abnormalities and deviations that can be opportunities or risks
Responda
  • outlier detection
  • classification
  • clustering
  • filtering

Questão 165

Questão
it can be bsaed on either supervised or unsupervised learning
Responda
  • clustering
  • outlier detection
  • classification
  • filtering

Questão 166

Questão
include fraud detection, medical diagnosis, network data analysis and sensor data analysis
Responda
  • filtering
  • outlier detection
  • classification
  • clustering

Questão 167

Questão
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
Responda
  • classificaction
  • clustering
  • outlier detection
  • filtering

Questão 168

Questão
are there any wrongly identified fruits and vegetables in the training dataset used for classification task
Responda
  • classification
  • outlier detection
  • clustering
  • filtering

Questão 169

Questão
is the automated process of finding relevant items from a pool of items
Responda
  • classification
  • clustering
  • outlier detection
  • filtering

Questão 170

Questão
items can be filtered either based on a users own behavior or by matching the behavior of multiple users
Responda
  • classification
  • clustering
  • outlier detection
  • filtering

Questão 171

Questão
_________________ is generally applied viat the following two approaches
Responda
  • collaborative filtering
  • user behavior
  • content-based filtering

Questão 172

Questão
items can be filtered either based on a users own behavior or by matching the behavior of multiple users
Responda
  • clustering
  • filtering
  • classification
  • outlier detection

Questão 173

Questão
A common medium by wich ________________is implemented is via the use of a recomender system
Responda
  • classification
  • clustering
  • outlier detection
  • filtering

Questão 174

Questão
technique based on the collaboration of users past behavior
Responda
  • collaborative filtering
  • classification
  • clustering
  • outlier detection
  • content-based filtering

Questão 175

Questão
based on the similarityof users behavior, items are filtered for the target user
Responda
  • classification
  • clustering
  • outlier detection
  • filtering

Questão 176

Questão
is solely based on the similarity between users behavior, and requires a large amount of user behavior data in order to accurately
Responda
  • filtering
  • classification
  • clustering
  • outlier detection
  • filtering collaborative

Questão 177

Questão
collaborative filtering is an example of application of law of large numbers
Responda
  • True
  • False

Questão 178

Questão
technique focused on the similarity between users an items
Responda
  • classification
  • clustering
  • outlier detection
  • filtering
  • content-based filtering

Questão 179

Questão
A user profile is created based on the users past behavior (likes, ratings, purchase history, etc)
Responda
  • collaborative filtering
  • content_based filtering

Questão 180

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

Questão 181

Questão
A recomender system predicts user preferences and generate suggestions for the user accordingly
Responda
  • filtering
  • classification
  • clustering
  • outlier detection

Questão 182

Questão
suggestions commonly pertain to recomending items, such as movies, books, web pages, people etc
Responda
  • clustering
  • classification
  • filtering
  • outlier dtection

Questão 183

Questão
A recomender system typically uses either collaborative filtering or content-based filtering to generate suggestions
Responda
  • True
  • False

Questão 184

Questão
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
Responda
  • True
  • False

Questão 185

Questão
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
Responda
  • clustering
  • classification
  • filtering
  • outlier detection

Questão 186

Questão
Wich holiday destinations can be recommended based on the travel history of a holiday makes?
Responda
  • clustering
  • classification
  • outlier detetcion
  • filtering

Questão 187

Questão
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
Responda
  • statistical analysis
  • semantic analysis
  • visual analysis
  • machinne learning

Questão 188

Questão
types of semantic analysis
Responda
  • natural language processing
  • human behavior language
  • text analytics
  • sentimental analysis

Questão 189

Questão
Is a computers ability to comprehend human speech and text as naturally understood by humans
Responda
  • text analytics
  • Natural language Processing
  • sentiment analysis

Questão 190

Questão
This allows computers to perfom a variety of useful task, such as full-text searches
Responda
  • Text analysis
  • sentiment analysis
  • Natural language processiing (NLP)

Questão 191

Questão
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
Responda
  • text analysis
  • natural language processing
  • sentiment analysis

Questão 192

Questão
in general the more learning data the computer has, the more correctly it can decipher human text and speech
Responda
  • natural language Processing
  • text analytics
  • sentiment analysis

Questão 193

Questão
Natural language processing includes both text and speech recognition
Responda
  • True
  • False

Questão 194

Questão
For speech recognition the system attempts to comprehend the speech and then performs an action, such as transcribing text
Responda
  • text analytics
  • sentiment analysis
  • Natural language processing

Questão 195

Questão
How can grammatical mistakes be automaticalle identified?
Responda
  • text analytics
  • Natural Language processing
  • sentiment analysis

Questão 196

Questão
Unstructured text is generally much more difficult to analyze and search, compared to structured text
Responda
  • True
  • False

Questão 197

Questão
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
Responda
  • Natural language processing
  • text analytics
  • sentimente analysis

Questão 198

Questão
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
Responda
  • True
  • False

Questão 199

Questão
the basic tenet of text analytics is to turn unstructured text into data that can be searched and analyzed
Responda
  • Natural language processing
  • text analytics
  • sentiment analysis

Questão 200

Questão
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
Responda
  • text analytics
  • natural language processing
  • sentiment analysis

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