DSS ch 7

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

a node where data is stored and processed

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

an increasingly challenging task for today's enterprises

In the financial services industry, Big Data can be used to improve: A) regulatory oversight. B) decision making. C) customer service. ) both A & B.

both A&B

In a network analysis, what connects nodes? A) edges, B) metrics, C) paths, D) visualizations

edges

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

grid computing

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

in-memory analytics

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

secondary node

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.

the largest computer and IT services firms

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.

the variety and complexity of data.

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

unrestricted, ungoverned sandbox explorations

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

unstructured and semistructured non-relational data

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

variability

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

1015 bytes

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.

Amazon and Google have working Hadoop cloud offerings.

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

RFID tags

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

FALSE

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

FALSE

Hadoop and MapReduce require each other to work.

FALSE

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

FALSE

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.

It breaks up Big Data into multiple parts so each part can be processed and analyzed at the same time on multiple computers

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.

MapReduce runs without fault tolerance

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

TRUE

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

TRUE

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

TRUE

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

TRUE

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

TRUE

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

TRUE

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

TRUE

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

TRUE

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

TRUE

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

TRUE

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

TRUE

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

TRUE

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

TRUE