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IBM P2090-038 Exam Syllabus Topics:

IBM InfoSphere BigInsights Technical Mastery Test v2 Sample Questions:

1. Which of the following options is CORRECT in regards to integrating InfoSphere BigInsights and warehousing environments?

A) There is no direct interaction between InfoSphere BigInsighs and data warehousing environments. However, InfoSphere Streams can be used to stream data between the two environments.
B) There is no integration between InfoSphere BigInsights and warehousing environments since they deal with different type of data.
C) Frequently accessed data should be maintained in the BigInsights environment while old?or outdated information can be offloaded to the Frequently accessed data should be maintained in the BigInsights environment while ?old?or outdated information can be offloaded to the warehouse environment.
D) InfoSphere BigInsights Enterprise Edition also comes with a standard Java Database Connectivity (JDBC) connector, making it possible for organizations to quickly integrate with a wide variety of data and information systems, including Oracle, Microsoft SQL Server, MySQL and Teradata.

2. Which of the following options best describes the proper usage of MapReduce jobs in Hadoop environments?

A) MapReduce jobs are used to execute sequential search outside the Hadoop environment using a built-in UDF to access information stored in non-relational databases.
B) MapReduce jobs are used to process small amounts of data in-parallel on expensive hardware, without fault-tolerance.
C) MapReduce jobs are used to process vast amounts of data in-parallel on large clusters of commodity hardware in a reliable, fault-tolerant manner.
D) MapReduce jobs are used to process structured data in sequence, with fault-tolerance.

3. How is data stored in a Hadoop cluster?

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

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

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

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