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  5. IBM InfoSphere BigInsights Technical Mastery Test v2 Questions and Answers
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P2090-038 IBM InfoSphere BigInsights Technical Mastery Test v2 Questions and Answers

Questions 4

For maximum stability, the recommended number of dedicated hosts in order to implement the high availability configuration for BigInsights (consisting of the HA manager, the NameNode, and the JobTracker) is:

Options:

A.

1

B.

2

C.

3

D.

4

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Questions 5

What is Big SQL?

Options:

A.

Big SQL is a feature in Data Explorer that allows for indexing of data from SQL sources such as data warehouses.

B.

Big SQL is a feature in BigInsights that allows for native SQL query access for Hadoop, providing full ANSI SQL 92 compliance and standardSQL syntax such as joins, for data contained in a variety of formats such as structured Hive tables, Hbase tables, or csv and other delimitedfiles in HDFS.

C.

Big SQL is a feature in Streams that allows for real time analysis of data via standard SQL syntax.

D.

Big SQL is a feature in BigInsights that provides a SQL like interface to data contained in Hbase tables only. Other data sources in HDFS mustbe accessed via other means such as HiveQL.

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Questions 6

Which of the following InfoSphere BigInsights features provides a vast library of extractors enabling actionable insights from large amounts of native textual data?

Options:

A.

Text Analytics.

B.

Adaptive MapReduce.

C.

General Parallel File System.

D.

BigSheets.

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Questions 7

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

Options:

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 large files, while IBM Adaptive MapReduce is configurable to operate optimized on large or small files or splits

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 small partitioned tables stored in the HBase component, while IBM? Adaptive MapReduceis optimized for operating on large partitioned files.

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Questions 8

What does ig Data?represent?What does ?ig Data?represent?

Options:

A.

A Hadoop feature capable of processing vast amounts of data in-parallel on large clusters of commodity hardware in a reliable, fault-tolerant manner.

B.

A concept and platform of technologies with the characteristics of the ? Vs? that is able to handle large amounts of unstructured,semi-structured, and structured raw data unlike traditional systems.

C.

A database feature capable of converting pre-existing structured data into unstructured raw data.

D.

Only data stored in the BIGDATA table in any relational database.

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Questions 9

Which of the following options DOES NOT describe an advantage of InfoSphere BigInsights on top of regular standalone Hadoop distributions?

Options:

A.

Integrated install

B.

BigSheets

C.

Adaptive MapReduce

D.

Support to HiveQL and PigLatin languages.

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Exam Code: P2090-038
Exam Name: IBM InfoSphere BigInsights Technical Mastery Test v2
Last Update: Mar 20, 2024
Questions: 0