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Test fundamentos Big Data

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test rápido y para repaso
Carolina Colorado
Quiz by Carolina Colorado, updated more than 1 year ago
Carolina Colorado
Created by Carolina Colorado over 8 years ago
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Resource summary

Question 1

Question
Big Data dedicated to
Answer
  • Enterprise Apps
  • analysis

Question 2

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Requeriments of big data
Answer
  • Procesing unstructured data
  • Procesing only unstructured data

Question 3

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Bit data addresses
Answer
  • combine multiple unreleated datasets
  • Another DW to enrich data

Question 4

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BD type of data
Answer
  • machine generate
  • Only human generate
  • hidden data

Question 5

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Benefits Big Data
Answer
  • Enterprise app
  • fault and fraud detection
  • slow procesing

Question 6

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characteristics of data in big data
Answer
  • complex, variety, volumen, veracity, value
  • variety, volumen, velocity, veracity, value
  • incompatibilities, value,velocity,volumen, veracity, many data

Question 7

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characteristics only of data in BigData
Answer
  • value, variety, veracity
  • velocity, volumen, value
  • velocity, variety, volumen

Question 8

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veracity
Answer
  • structured data, unstructured data
  • signal, noise
  • social network

Question 9

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Human-generated data examples
Answer
  • micro bloggin
  • web log
  • sensor data

Question 10

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value
Answer
  • more value more veracity, more value more time
  • more value less veracity, more value less time
  • more value more veracity, more value less time

Question 11

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benefits
Answer
  • operational optimization, noise information
  • scientific discoveries, actionable intelligence
  • accurate predictions, shipped cloud computing

Question 12

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Dataset
Answer
  • collections or groups of related data, shares the different set of attributes
  • collections or groups of related data, shares the same set of attributes
  • discipline of gaining an understanding of data

Question 13

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Data Analysis
Answer
  • discipline of gaining an understanding of data
  • process of examining data to find facts, relationships, patterns
  • collections or groups of related data, shares the same set of attributes

Question 14

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analytics
Answer
  • process of gaining an understanding of data
  • discipline of gaining an undestanding of data by analizing it via multitude techniques
  • collections or groups of related data

Question 15

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in business-oriented, analytics
Answer
  • results can lower operational costs and facilitate strategic decison-making
  • help identify the cause of a phenomenon to improve the accuracyof predictions
  • help strengthen the focus on delivering high quality services by driving down costs

Question 16

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in the scientific domain, analytics
Answer
  • help strengthen the focus on delivering high quality services by driving down costs
  • results can lower operational costs and facilitate strategic decison-making
  • help identify the cause of a phenomenon to improve the accuracyof predictions

Question 17

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in services-based enviroments, analytics
Answer
  • results can lower operational costs and facilitate strategic decison-making
  • help strengthen the focus on delivering high quality services by driving down costs
  • help identify the cause of a phenomenon to improve the accuracyof predictions

Question 18

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Business intelligent
Answer
  • process of gaining an understanding of data
  • process of gaining insigths into the the workings of an enterprise
  • discipline of gaining an undestanding of data by analizing it via multitude techniques

Question 19

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KPI (Key performance indicators)
Answer
  • utilize the consolidated data contained in data warehouses to run analytical queries
  • is a measure for gauging success within a particular context
  • discipline of gaining an undestanding of data by analizing it via multitude techniques

Question 20

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KPI used to
Answer
  • achieve regulatory compliance
  • help identify the cause of a phenomenon to improve the accuracyof predictions
  • help strengthen the focus on delivering high quality services by driving down costs

Question 21

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measure in Big data
Answer
  • kilometer, megabyte, gigabyte, terabyte, petabyte, exabyte, settabytte, yottabyte
  • kilobyte, megabyte, gigabyte, terabyte, petabyte, exabyte, settabytte, yottabyte
  • kilobyte, megabyte, gigabyte, terabyte, petabyte, exabyte, settabytte, youtube

Question 22

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big data emerged from a combination of business needs and technology innovations
Answer
  • true
  • false

Question 23

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analitcs & data science
Answer
  • For many business, digital mediums have replaced physical mediums as the de facto
  • Based in opens sorce software tha requires little more than commodity hardware
  • machine learning algoritms, statistical techniques and data warehousing

Question 24

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digitalization
Answer
  • Lead to an opportunity to collect further secondary data
  • Collecting and storing more data to potentially find new insigths and gain a competitive edge
  • collecting and processing large quantities of diverse data has become increasingly affordable

Question 25

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affordable technology & commodity hardware
Answer
  • the madurity of these fields of practice inspired and enabled much of the core functionality
  • use of commodity hardware makes the adoption of Big Data solutions accessible to business
  • some examples include on-demand TV and streaming video

Question 26

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social media
Answer
  • Has empowered customers to provide feedback in near-realtime via open and public mediums
  • Has resulted in massive data streams
  • are capable of providing highly scalable, on-demand IT resources that can be leased

Question 27

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hyper-connected communities & devices
Answer
  • A an result, business are storing increasing amounts of data on customer interaction
  • leverage the infrastructure, storage and processing capabilities provided by this enviroments
  • the broadening coverage of internet and the proliferation of cellar and WI-FI networks .

Question 28

Question
cloud computing
Answer
  • Businesses are also increasingly interested in incorporating publicly available datasets
  • Is either directly through online interaction or indirectly through the usage of connected devices
  • Can be leased dramatically reduces the required up-front investment of Big Data projects

Question 29

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Online Transaction Processing (OLTP)
Answer
  • software system that processes transaction-oriented data
  • Is a system used for processing data analysis queries
  • process of loading data from a source system into a target system

Question 30

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batch-processed
Answer
  • OLTP
  • OLAP

Question 31

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data fully normalized
Answer
  • OLTP
  • OLAP

Question 32

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C R U D with subsecond response times
Answer
  • OLTP
  • OLAP

Question 33

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Online Analytical Processing (OLAP)
Answer
  • software system that processes transaction-oriented data
  • Store operational data that is fully normalized
  • Is a system used for processing data analysis queries

Question 34

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data mining and machine learning processes
Answer
  • OLTP
  • OLAP

Question 35

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OLAP
Answer
  • Representing a common source of structured analytics input
  • Can serve as both a data source as well as a data sink that capable of receiving data
  • Big data analysis results can also be fed back

Question 36

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OLAP
Answer
  • Representing a common source of structured analytics input
  • are used in diagnostic, predictive and prescriptive analytics
  • An example ticket reservation systems and banking and POS transactions

Question 37

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data that is aggregated and denormalized
Answer
  • OLAP
  • OLTP

Question 38

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OLAP use databases
Answer
  • that store historical data in multidimensional arrays and can answer complex queries
  • are comprised of simple insert, delete and update operations
  • that processes transaction-oriented data

Question 39

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An OLAP system is always
Answer
  • fed with data from multiple OLTP system using regular batch processing jobs
  • data is fully normalized
  • comprised of simple C R U D

Question 40

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OLAP: denormalized data in the form of cubes
Answer
  • FALSE
  • TRUE

Question 41

Question
Extract-transform-load (ETL)
Answer
  • allows the data to be queried during any data analysis tasks that are performes later
  • Is a process of loading data from a source system into a target system
  • queries can take several minutes or even longer, depending on the complexity of query.

Question 42

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Extract-transform-load (ETL) source
Answer
  • database, flat file or an application
  • on-demand TV and streaming video
  • digitalization and social media

Question 43

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ETL
Answer
  • Represents the main operation through wich data warehouses are fed data
  • Represents the main operation through wich datasets are fed data
  • Represents de main operation through wich database are fed data

Question 44

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ETL
Answer
  • Extract load transform
  • Extract transform load
  • Extract transform leave

Question 45

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ETL type data
Answer
  • Unstructure data, structure data and semi structura data
  • Only structure data and semi structura data
  • Only Unstructure data

Question 46

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Data Warehouses EDWH has historical data?
Answer
  • FALSE
  • TRUE

Question 47

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Data Warehouses EDWH
Answer
  • is a subset of the data, that typically belongs to a deparment
  • is a framework open source
  • usually interface with an OLAP sYstem to support analytical queries

Question 48

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EDWH
Answer
  • this allows the data to be queried during any data analysis
  • Heavily used by BI to run various analytical queries
  • software system that processes transaction-orientes data

Question 49

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EDWH sources
Answer
  • social media, facebook twitter
  • OLTP, ERP, CRM and SCM systems
  • OLAP, ERP, CRM and SCM systems

Question 50

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EDWH
Answer
  • For the amount data contained will continue to increase. The anlysis BI can suffer.
  • Is a process of loading data from a source system into a target system
  • software system that processes transaction-orientes data

Question 51

Question
EDWH
Answer
  • Has established itself as a de facto industry platform for contemporary Big Data solutions
  • usually contain optimized databases, called analytical databases to handle reporting and data analysis
  • Represents de main operation through wich database are fed data

Question 52

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EDWH: analytical database can´t exist as separate DBMS
Answer
  • TRUE
  • FALSE

Question 53

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Data mart
Answer
  • is a subset of the data, that typically belongs to a deparment
  • can have multiple EDWH
  • based on cleansed data, which is a prerequisite for accurate and error-free reports

Question 54

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hadoop is open source framework for
Answer
  • large data storage
  • data processing
  • diagnostic, predictive and prescriptive
  • run on commodity hardware
  • denormalized data in the form of cubes

Question 55

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hadoop
Answer
  • has established itself as a de facto industry platform for contemporary Big Data solutions
  • is a central, enterprise-wide repository
  • is always fed with data from multiple OLTP system using regular batch processing jobs

Question 56

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hadoop can be used as engine of
Answer
  • ETL
  • analytics
  • OLTP
  • EDWH

Question 57

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hadoop can process large amounts of structured, semi-structured and unstructured data
Answer
  • false
  • true

Question 58

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volumen refers to
Answer
  • insert data
  • process data
  • velocity processing

Question 59

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Data volumes can include
Answer
  • Online transaction
  • sensor data
  • batch
  • social media
  • OLAP
  • scientific and research data

Question 60

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velocity
Answer
  • multiple types of data that need to be supported by Big Data solutions
  • data translates into the amount of time it takes for the data to be processed
  • data is processed by Big Data solutions is substantial and usually ever growing

Question 61

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Depending on the data source, velocity may not always be high
Answer
  • false
  • true

Question 62

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variety
Answer
  • Quality or fidelity of data
  • usefulness of data for an enterprise
  • refers to the multiple formats and types of data that need to be supported by Big Data Solutions

Question 63

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veracity
Answer
  • The appropriate form of data storage
  • Refers to the quality or fidelity of data
  • Refers ti the usefulness of data for an enterprise

Question 64

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Noise and SIgnal refers to
Answer
  • volumen
  • value
  • veracityx

Question 65

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value
Answer
  • refers to quality or fidelity of data
  • refers to the multiple formats and types of data that need to be supported
  • refers to usefulness of data for an enterprise

Question 66

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the value is directly related to the veracity in that de higher the data fidelity, the more value it holds for the business.
Answer
  • true
  • false

Question 67

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type of data
Answer
  • structured data, unstructured data, semi-structured data
  • structured data, unstructured data, semi-structured data, metadata

Question 68

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ERP and CRM are example of
Answer
  • unstructured data
  • structured data
  • semi-structured data

Question 69

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image, audio and video files are examples of
Answer
  • semi-structured data
  • unstructured data
  • strutured data

Question 70

Question
Unstructured data generally makes up 80%
Answer
  • true
  • false

Question 71

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unstructured data does generally require special or customized logic when it comes to pre-processing and storage
Answer
  • true
  • false

Question 72

Question
semi-structured data
Answer
  • has a defined level of structured and consistency can be relational in nature
  • has a defined level of structured and consistenc, but cannot be relational in nature
  • cannot be inheremtly processed or queried using SQL or traditional programming features

Question 73

Question
semi_structured data
Answer
  • CRM or ERP
  • XML or , electronic data interchanges, e-mails, spreaddheets, RSS feeds and senso data
  • image or adio files

Question 74

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metadata
Answer
  • provides information about the analysis
  • provides information about a datasets characteristics and structure

Question 75

Question
metadata generally machine generated and utomatically appended to the data
Answer
  • true
  • false

Question 76

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metadata xml tag
Answer
  • provided the author and creation date of a document, file size and resolution of a digital photograph
  • audio binary file
  • videobinary file

Question 77

Question
semi-structured data and unstructured data have a greater noise-to-signal ratio than structured data
Answer
  • true
  • false

Question 78

Question
can ETL can cleansing data and verification
Answer
  • false
  • true

Question 79

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data analysis
Answer
  • quantitative analysis
  • cientics analysis
  • qualitative analysis
  • data mining

Question 80

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quantitative analysis
Answer
  • quantifying analysis the patterns and correlations found in the data
  • phenomrnon in the data
  • outlayer

Question 81

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qualitative analysis use
Answer
  • numbers
  • words
  • graphical

Question 82

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involve analyzing a smaller sample in greater depth
Answer
  • quantitave analysis
  • qualitative analysis

Question 83

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analysis that targets large datasets
Answer
  • quantitative analysis
  • data mining
  • qualitative analysis

Question 84

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data mining (data discovery)
Answer
  • descriptions
  • patterns and correlations
  • identify patterns and trends

Question 85

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data mining forms the basis for predictive analytics and business intelligence (BI)
Answer
  • false
  • true

Question 86

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analysis tools can automate data analyses
Answer
  • false
  • true

Question 87

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descriptive , diagnostic , predictive , prescriptive
Answer
  • types of analytics
  • types of analisys
  • diagnostic

Question 88

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questions about events that have already occurred
Answer
  • diagnostic analytics
  • descriptive analytics
  • predictive analytics

Question 89

Question
reporting or dahsboards. The reports are generally static, queries are executed in OLTP such CRM and ERP
Answer
  • descriptive analytis
  • diagnostic analytics
  • preescriptive analytics

Question 90

Question
determine the causes of a phenomenon that occurred in the past
Answer
  • descriptive analytics
  • diagnostic analytics
  • predictive analytics

Question 91

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interactive visualization to identify trends and patterns, and queries are executed in OLAP systems
Answer
  • descriptive analytics
  • diagnostic analytics
  • preescriptive analytics

Question 92

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attemp to determine the outcome of an event that might occur in the future
Answer
  • preescriptive analytics
  • predictive analytics
  • descriptive analytics

Question 93

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The focus is on which prescribed option to follow and why and when it should be followed, to gain and advantage or mitigate risk
Answer
  • descriptive analytics
  • prescriptive analytics
  • predictive analytics

Question 94

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incorporate internal data (historical etc..) and external data (social media, demographic data)
Answer
  • descriptive analytics
  • prescriptive analytics
  • diagnostic analytics

Question 95

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machine learning
Answer
  • is the process of teaching computers to learn from existing data and apply the acquired knowledge to formulate predictions about unknow data.
  • is the discipline of teaching computers to learn from existing data and apply the acquired knowledge to formulate predictions about unknow data.
  • is the framework refers to teaching computers to learn from existing data and apply the acquired knowledge to formulate predictions about unknow data.

Question 96

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based on the input data and categorys
Answer
  • supervised learning
  • unsupervised learning

Question 97

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the algorithm attemp to categorized data by grouping data with similara attributes together
Answer
  • supervised learning
  • unsupervised learning

Question 98

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machine learning makes predictions and identify hidden patterns
Answer
  • false
  • true

Question 99

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machine learning can use the output from data mining for further data classification.
Answer
  • true
  • false

Question 100

Question
traditional BI utilizes
Answer
  • descriptive and diagnostic
  • diagnostic and predictive
  • descriptive an prescriptive

Question 101

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ad-hoc reports and dashboards
Answer
  • tradictional Big Data
  • traditional BI

Question 102

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ad hoc reporting
Answer
  • the focus is a usually on a specific area of the bussines
  • the focus is view of key bussines areas in real time or near to real time

Question 103

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big data
Answer
  • facilitate the development of an enterprise-wide understanding of the way a bussines works
  • focus on indivicual bussines processes
  • descriptive and diagnostic to facilitate the development of an an enterprise-wide understanding of the way a bussines works

Question 104

Question
data visualization analytical results are graphically communicated using elements like
Answer
  • charts, maps, data grids, infographics and alerts
  • ad-hoc reports drill, down
  • dashboards

Question 105

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data visualization tool in Big Data use
Answer
  • in-disk analytical tchnologies
  • in-memory analytical technologies

Question 106

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aggregation
Answer
  • groups data across multiple categories to show subtotals and totals
  • global an sumarized view of data across multiple context
  • enables a detail view of the data of interest by focusing in on a data subset

Question 107

Question
visualization features: drill down
Answer
  • enables a detail view of the data of interest by focusing in on a data subset
  • global an sumarized view of data across multiple context
  • groups data across multiple categories to show subtotals and totals

Question 108

Question
visualization features: roll up
Answer
  • global an sumarized view of data across multiple context
  • groups data across multiple categories to show subtotals and totals
  • enables a detail view of the data of interest by focusing in on a data subset

Question 109

Question
data visualization tools for Big data solutions incorporate
Answer
  • diagnostic and descriptive
  • predictive a descriptive
  • predictive and prescriptive

Question 110

Question
in the advance visualizations you needs an ETL
Answer
  • true
  • false
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