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IBM Big Data Architect

Question No: 41

A large global enterprise customer has a Big Data environment set up on Hadoop. After a year in operation they are now looking to extend access to multiple functions that will need different views into different aspects/portions of the data. As you consider these requirements, which of the following statements is TRUE and also applies to the scenario?

  1. Hadoop does not support multi tenancy but can easily scale to support this by replicating data to new clusters with commodity hardware.

  2. Hadoop can support multi tenancy but only if YARN is used, so if not already used, the customer will need to upgrade to a YARN supported version.

  3. Virtualization methods can be used to support multi-tenancy on Hadoop because one can easily replicate to additional cluster whenever there is a need.

  4. Hadoop can support multi tenancy by using a cluster file system for storage, allowing all nodes to access the data.

Answer: D

Reference:

http://www- 01.ibm.com/support/knowledgecenter/STXKQY/411/com.ibm.spectrum.scale.v4r11.adv.do c/bl1adv_hadoop.htm?lang=en

Question No: 42

A large application vendor wants to port their existing distributed applications to run on Hadoop. In order to be competitive they need to provide monitoring and keep the size of the monitored applications consistent with the configuration. This implies the ability to deploy a replacement, for example, for any failed components. Which of the following would be a workable solution?

  1. Nagios with YARN

  2. Slider with YARN

  3. Oozie with Lucene

  4. OPTIM Performance Manager

Answer: B

Question No: 43

A news organization wants to analyze all the news stories coming in real time and make them available to their users based on the user’s interest. Given this requirement, which of the following would you recommend?

  1. Spark

  2. Hadoop

  3. Netezza

  4. Cloudant

Answer: A

Question No: 44

Company K is designing their Big Data system. In their enterprise, they anticipate every 9 months there will be a big spike of new data on the order of multiple TB. Their company policy also dictates that data older than one year will be archived with a major clean up every 5 years. Cost is also a big issue. Which of the following provides the best design for these requirements?

  1. Estimate the peak volume over a 5 year period and set up a Hadoop system with commodity HW andstorage to accommodate that volume

  2. Estimate the peak volume over a 3 year period and set up a Hadoop system with NAS to accommodate theexpected volume

  3. Use Cloud elasticity capabilities to handle the peak and valley data volume

  4. Use SAN storage with compression to handle the peak and valley data volume

Answer: A

Question No: 45

The AQL query language is the easiest and most flexible tool to pull structured output from which of the following?

  1. Hive data structures

  2. Unstructured text

  3. Hbase schemas

  4. JDBC connected relational data marts

Answer: A

Reference:

http://www.ibm.com/developerworks/library/bd-sqltohadoop2/

Question No: 46

The YARN High Availability feature adds redundancy in the form of an Active/Standby. Which of the following will pair to remove this otherwise single point of failure?

  1. JobTracker

  2. Data Node

  3. Management Node

  4. Resource Manager

Answer: D Explanation:

References: http://hadoop.apache.org/docs/current/hadoop-yarn/hadoop-yarn- site/ResourceManagerHA.html

Question No: 47

Big data is often defined as the ability to derive new insights from data that has scaled up

along three axes known as the three v’s. Which of the following is the fourth v? (Hint: It has something to do with the uncertainty.)

  1. volume

  2. variety

  3. velocity

  4. veracity

Answer: C

Question No: 48

A television company is going to launch a new talk show and wants to gauge viewers’ interest in various topics. They would like to do social media analysis and find out best responses. They also want to discuss best responses during the next day’s show. Given these requirements, which technology you would recommend?

  1. Hadoop

  2. Streams

  3. Content Management

  4. Netezza

Answer: C

Question No: 49

What are the two levels documented in the Operational Model? (Choose two.)

  1. Logical

  2. Rational

  3. Theoretical

  4. Physical

  5. Middleware

Answer: A,C

Question No: 50

Which of the following statements regarding Big R is TRUE?

  1. The Big R API is completely identical to the R API

  2. Big R implements an interpreted computer language

  3. Big R users cannot access Big R capabilities from the standard RStudio client as RStudio is not Hadoopenabled

  4. Big R utilizes the big SQL query engine for processing

Answer: D Explanation:

References: https://www.ibm.com/support/knowledgecenter/SSPT3X_3.0.0/com.ibm.swg.im.infosphere. biginsights.bigr.doc/ doc/intro.html

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