Deck 7: Big Data Concepts and Tools

Question 1

Big Data simplifies data governance issues,especially for global firms.

Answer 1

False

Question 2

Social media mentions can be used to chart and predict flu outbreaks.

Answer 2

True

Question 3

Satellite data can be used to evaluate the activity at retail locations as a source of alternative data.

Answer 3

True

Question 4

There is a clear difference between the type of information support provided by influential users versus the others on Twitter.

Question 5

In the Salesforce case study,streaming data is used to identify services that customers use most.

Question 6

Hadoop and MapReduce require each other to work.

Question 7

Despite their potential,many current NoSQL tools lack mature management and monitoring tools.

Question 8

The term "Big Data" is relative as it depends on the size of the using organization.

Question 9

Current total storage capacity lags behind the digital information being generated in the world.

Question 10

In the opening vignette,the Access Telecom (AT),built a system to better visualize customers who were unhappy before they canceled their service.

Question 11

MapReduce can be easily understood by skilled programmers due to its procedural nature.

Question 12

Hadoop was designed to handle petabytes and exabytes of data distributed over multiple nodes in parallel.

Question 13

Big Data uses commodity hardware,which is expensive,specialized hardware that is custom built for a client or application.

Question 14

In most cases,Hadoop is used to replace data warehouses.

Question 15

It is important for Big Data and self-service business intelligence to go hand in hand to get maximum value from analytics.

Question 16

The quality and objectivity of information disseminated by influential users of Twitter is higher than that disseminated by noninfluential users.

Question 17

For low latency,interactive reports,a data warehouse is preferable to Hadoop.

Question 18

In Application Case 7.6,Analyzing Disease Patterns from an Electronic Medical Records Data Warehouse,it was found that urban individuals have a higher number of diagnosed disease conditions.

Question 19

If you have many flexible programming languages running in parallel,Hadoop is preferable to a data warehouse.

Question 20

Big Data is being driven by the exponential growth,availability,and use of information.

Question 21

In the Twitter case study,how did influential users support their tweets?

A)opinion
B)objective data
C)multiple posts
D)references to other users

Question 22

Data flows can be highly inconsistent,with periodic peaks,making data loads hard to manage.What is this feature of Big Data called?

A)volatility
B)periodicity
C)inconsistency
D)variability

Question 23

Traditional data warehouses have not been able to keep up with

A)the evolution of the SQL language.
B)the variety and complexity of data.
C)expert systems that run on them.
D)OLAP.

Question 24

How does Hadoop work?

A)It integrates Big Data into a whole so large data elements can be processed as a whole on one computer.
B)It integrates Big Data into a whole so large data elements can be processed as a whole on multiple computers.
C)It breaks up Big Data into multiple parts so each part can be processed and analyzed at the same time on one computer.
D)It breaks up Big Data into multiple parts so each part can be processed and analyzed at the same time on multiple computers.

Question 25

In the financial services industry,Big Data can be used to improve

A)regulatory oversight.
B)decision making.
C)customer service.
D)both A & B.

Question 26

A newly popular unit of data in the Big Data era is the petabyte (PB),which is

A)109 bytes.
B)1012 bytes.
C)1015 bytes.
D)1018 bytes.

Question 27

In a network analysis,what connects nodes?

A)edges
B)metrics
C)paths
D)visualizations

Question 28

In a Hadoop "stack," what is a slave node?

A)a node where bits of programs are stored
B)a node where metadata is stored and used to organize data processing
C)a node where data is stored and processed
D)a node responsible for holding all the source programs

Question 29

Which Big Data approach promotes efficiency,lower cost,and better performance by processing jobs in a shared,centrally managed pool of IT resources?

A)in-memory analytics
B)in-database analytics
C)grid computing
D)appliances

Question 30

Under which of the following requirements would it be more appropriate to use Hadoop over a data warehouse?

A)ANSI 2003 SQL compliance is required
B)online archives alternative to tape
C)unrestricted,ungoverned sandbox explorations
D)analysis of provisional data

Question 31

Which of the following sources is likely to produce Big Data the fastest?

A)order entry clerks
B)cashiers
C)RFID tags
D)online customers

Question 32

Companies with the largest revenues from Big Data tend to be

A)the largest computer and IT services firms.
B)small computer and IT services firms.
C)pure open source Big Data firms.
D)non-U.S.Big Data firms.

Question 33

What is the Hadoop Distributed File System (HDFS)designed to handle?

A)unstructured and semistructured relational data
B)unstructured and semistructured non-relational data
C)structured and semistructured relational data
D)structured and semistructured non-relational data

Question 34

Allowing Big Data to be processed in memory and distributed across a dedicated set of nodes can solve complex problems in near-real time with highly accurate insights.What is this process called?

A)in-memory analytics
B)in-database analytics
C)grid computing
D)appliances

Question 35

What is Big Data's relationship to the cloud?

A)Hadoop cannot be deployed effectively in the cloud just yet.
B)Amazon and Google have working Hadoop cloud offerings.
C)IBM's homegrown Hadoop platform is the only option.
D)Only MapReduce works in the cloud; Hadoop does not.

Question 36

Using data to understand customers/clients and business operations to sustain and foster growth and profitability is

A)easier with the advent of BI and Big Data.
B)essentially the same now as it has always been.
C)an increasingly challenging task for today's enterprises.
D)now completely automated with no human intervention required.

Question 37

In a Hadoop "stack," what node periodically replicates and stores data from the Name Node should it fail?

A)backup node
B)secondary node
C)substitute node
D)slave node

Question 38

In the Analyzing Disease Patterns from an Electronic Medical Records Data Warehouse case study,what was the analytic goal?

A)determine if diseases are accurately diagnosed
B)determine probabilities of diseases that are comorbid
C)determine differences in rates of disease in urban and rural populations
D)determine differences in rates of disease in males v.females

Question 39

In the Alternative Data for Market Analysis or Forecasts case study,satellite data was NOT used for

A)evaluating retail traffic.
B)monitoring activity at factories.
C)tracking agricultural estimates.
D)monitoring individual customer patterns.

Question 40

All of the following statements about MapReduce are true EXCEPT

A)MapReduce is a general-purpose execution engine.
B)MapReduce handles the complexities of network communication.
C)MapReduce handles parallel programming.
D)MapReduce runs without fault tolerance.

Question 41

Big Data comes from ________.

Question 42

________ bring together hardware and software in a physical unit that is not only fast but also scalable on an as-needed basis.

Question 43

Hadoop is primarily a(n)________ file system and lacks capabilities we'd associate with a DBMS,such as indexing,random access to data,and support for SQL.

Question 44

In the world of Big Data,________ aids organizations in processing and analyzing large volumes of multistructured data.Examples include indexing and search,graph analysis,etc.

Question 45

________ of data provides business value; pulling of data from multiple subject areas and numerous applications into one repository is the raison d'être for data warehouses.

Question 46

________ refers to the conformity to facts: accuracy,quality,truthfulness,or trustworthiness of the data.

Question 47

Big Data employs ________ processing techniques and nonrelational data storage capabilities in order to process unstructured and semistructured data.

Question 48

The problem of forecasting economic activity or microclimates based on a variety of data beyond the usual retail data is a very recent phenomenon and has led to another buzzword - ________.

Question 49

As volumes of Big Data arrive from multiple sources such as sensors,machines,social media,and clickstream interactions,the first step is to ________ all the data reliably and cost effectively.

Question 50

Organizations are working with data that meets the three V's-variety,volume,and ________ characterizations.

Question 51

HBase is a nonrelational ________ that allows for low-latency,quick lookups in Hadoop.

Question 52

________ speeds time to insights and enables better data governance by performing data integration and analytic functions inside the database.

Question 53

The ________ Node in a Hadoop cluster provides client information on where in the cluster particular data is stored and if any nodes fail.

Question 54

In open-source databases,the most important performance enhancement to date is the cost-based ________.

Question 55

In-motion ________ is often overlooked today in the world of BI and Big Data.

Question 56

The ________ of Big Data is its potential to contain more useful patterns and interesting anomalies than "small" data.

Question 57

HBase,Cassandra,MongoDB,and Accumulo are examples of ________ databases.

Question 58

A job ________ is a node in a Hadoop cluster that initiates and coordinates MapReduce jobs,or the processing of the data.

Question 59

As the size and the complexity of analytical systems increase,the need for more ________ analytical systems is also increasing to obtain the best performance.

Question 60

In the energy industry,________ grids are one of the most impactful applications of stream analytics.

Question 61

Define MapReduce.

Question 62

In the opening vignette,why was the Telecom company so concerned about the loss of customers,if customer churn is common in that industry?

Question 63

List and describe the three main "V"s that characterize Big Data.

Question 64

List and describe four of the most critical success factors for Big Data analytics.

Question 65

What are the differences between stream analytics and perpetual analytics? When would you use one or the other?

Question 66

What is NoSQL as used for Big Data? Describe its major downsides.

Question 67

Describe data stream mining and how it is used.

Question 68

When considering Big Data projects and architecture,list and describe five challenges designers should be mindful of in order to make the journey to analytics competency less stressful.

Question 69

Why are some portions of tape backup workloads being redirected to Hadoop clusters today?