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IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:

1. Which of the following options is CORRECT?

A) InfoSphere Streams does not allow you to dynamically add hosts and jobs
B) InfoSphere Streams high availability feature allows for processing elements (PEs) on failing
nodes to be moved and automatically restarted,
with communications re-routed, to a healthy node.
C) InfoSphere Streams is only able to process traditional structured data from a variety of sources.
D) InfoSphere Streams optimizes its workload by aggregating an entire job into a single node.

2. What is the difference between Hadoop?s MapReduce and IBM?s Adaptive MapReduce feature available in InfoSphere BigInsights?

A) Hadoop?s MapReduce is optimized for operating on large files, while IBM?s Adaptive MapReduce is configurable to operate optimized on large or small files or splits.
B) Hadoop?s MapReduce is optimized for operating on small files or splits, while IBM?s Adaptive MapReduce is optimized for operating on large files stored in individual blocks.
C) Hadoop?s MapReduce is optimized for operating on small files or splits, while IBM?s Adaptive MapReduce is optimized for operating on large partitioned files.
D) Hadoop?s MapReduce is optimized for operating on small partitioned tables stored in the HBase component, while IBM?s Adaptive MapReduce is optimized for operating on large partitioned files.

3. Which of the following options is CORRECT?

A) InfoSphere BigInsights is a distributed file system used as base for Hadoop distributions.
B) InfoSphere BigInsights is based on a branched Hadoop distribution, and therefore backwards compatibility is not guaranteed.
C) InfoSphere BigInsights is based on the nonforked core Hadoop distribution, but backwards compatibility with the Apache Hadoop project is not guaranteed, therefore applications written for Hadoop might not run on BigInsights.
D) InfoSphere BigInsights is based on the nonforked core Hadoop distribution, and backwards compatibility with the Apache Hadoop project will always be maintained. Therefore, all applications written for Hadoop will run on BigInsights.

4. How is data stored in a Hadoop cluster?

A) The data is divided into blocks, each block is stored in a different server in the Hadoop cluster, but the blocks are not replicated.
B) The data is converted into a single block, and copies of this block are replicated across multiple servers in the Hadoop cluster.
C) The data is divided into blocks, and copies of these blocks are replicated across multiple servers in the Hadoop cluster.
D) The data converted into a single block, and the block is stored in just one of the servers in the Hadoop cluster.

Solutions: