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IBM Big Data Architect

Question No: 61

The CAP Theorem states that it is not possible for a distributed computer system to guarantee all three of these?

  1. Consistency, Accuracy, and Partition tolerance

  2. Concurrency, Availability, and Parallel updates

  3. Concurrency, Accuracy, and Parallel updates

  4. Consistency, Availability, and Partition tolerance

Answer: B

Question No: 62

You have implemented a large Hadoop MapReduce cluster and the applications and users are multiplying. You are now faced with requests for interactive and streaming data applications while you still need to support the original MapReduce batch Jobs. Select the best option for continued support and performance.

  1. Just add several data nodes as Hadoop clusters are designed to scale-up easily

  2. Keep your original cluster configuration, all that is needed is re-optimizing the Oozie- workflow management

  3. Implement Yarn to decouple MapReduce and resource management

  4. Implement Apache Cassandra to automatically optimize multi-tenancy workloads

Answer: D

Question No: 63

For company B, 85% of their analytics queries only involve about 25% of their data; another 10% of the queries will touch 35% of the rest of the data, and only 5% of the queries will touch the remaining 40% of the data. The estimated volume is 50TB growing at 1 TB per year. Which of the following would provide the best value (business benefit) and

lowest TCO?

  1. Place the entire set of data in a data warehouse with proper partitioning and indexing

  2. Place the entire set of data in a hadoop environment – using commodity HW

  3. Place the top 25% of data (used by 85% of the query) in a hadoop environment, and the rest in a data warehouse

  4. Place the top 25% of data (used by 85% of the query) in a data warehouse, and the rest in a hadoop environment

Answer: C

Question No: 64

Which of the following statements regarding Big R is TRUE?

  1. Missing data values must be handled by ETL processes prior to analyzing data with Big R

  2. A bigr.frame loads data in memory for optimal performance

  3. A Big R user is responsible for parallelizing the execution of the R functions being used in the R program

  4. Performing a mathematical operation on a Big R vector variable will automatically loop through each item inthe vector

Answer: D Explanation:

References: http://www.computerworld.com/article/2497319/business-intelligence- beginner-s-guide-to-r-syntax-quirks-you-llwant-to-know.html

Question No: 65

Which architecture document is used to help organize projects, manage the complexity of the solution, and ensurethat all architecturerequirements have been addressed?

  1. Operational Model

  2. Component Model

  3. Connection Model

  4. API Model

Answer: B

Question No: 66

In a typical Hadoop HA cluster, two separate machines are configured as which of the following?

  1. Data Nodes

  2. Edge Nodes

  3. Name Nodes

  4. None of the Above

Answer: A

Reference:

http://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop- hdfs/HDFSHighAvailabilityWithQJM.html

Question No: 67

Which of the following statements regarding Big R is TRUE?

  1. Unless specified otherwise, Big R automatically assumes all data to be integers

  2. Big R’s ‘bigr.frame’ is equivalent to R’s ‘data.frames’

  3. When you execute Big R 鈥渁pply鈥?function, Big R transparently extracts data out of HDFS into the Big R engine

  4. A data analyst using Big R employs MapReduce programming principles

Answer: A

Reference:

Data Science Using Big R for In-Hadoop Analytics tutorial

Question No: 68

A component of IBM Industry Model forms the basis of the 鈥淟ogical Data Warehouse Model鈥?that spans across the traditional RDBMS and Hadoop technology. It defines all of the data structures that would be expected to be defined in the Detailed System of Record. What is the name of this component?

  1. Business data model

  2. Atomic warehouse model

  3. Dimensional warehouse models

  4. Metadata management

Answer: A Explanation:

References: http://www.ibm.com/support/knowledgecenter/SS9NBR_9.1.0/com.ibm.ima.using/comp/bd m/intro.dita

Question No: 69

In designing a new Hadoop system for a customer, the option of using SAN versus DAS was brought up. Which of the following would justify choosing SAN storage?

  1. SAN storage provides better performance than DAS

  2. SAN storage reduces and removes a lot of the HDFS complexity and management issues

  3. SAN storage removes the Single Point of Failure for the NameNode

  4. SAN storage supports replication, reducing the need for 3-way replication

Answer: D

Question No: 70

Which of the following is the section of the Component Model that details how the solution integrates?

  1. Component Relationship Diagram

  2. Component Interface Diagram

  3. Component Interaction Diagram

  4. Component Reaction Diagram

Answer: A

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