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IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:

1. Which of the following options is CORRECT?

A) 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.
B) InfoSphere BigInsights is a distributed file system used as base for Hadoop distributions.
C) InfoSphere BigInsights is based on a branched Hadoop distribution, and therefore backwards compatibility is not guaranteed.
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.

2. What is good fit for Hadoop Distributed File System (HDFS)?

A) Multiple writers accessing the same file.
B) Applications requiring high throughput of data.
C) Lots of small files.
D) Applications requiring low latency data access.

3. Which of the following options is CORRECT?

A) InfoSphere Data Explorer provides powerful navigation capabilities across all the important information stored exclusively into Hadoop Distributed File System in a single view. No other file systems are supported.
B) InfoSphere Data Explorer uses a vector-based index for unique search and indexing flexibility.
C) InfoSphere Data Explorer can find, extract and deliver content regardless of format or where it resides.
D) InfoSphere Data Explorer is not able to mirror pre-existing security frameworks, therefore it doesn?t make use of industry-standard authentication and authorization processes already in place.

4. Which of the following statements is NOT CORRECT?

A) InfoSphere Streams supports communications to Internet Protocol version 6 (IPv6) networks.
B) InfoSphere Streams jobs must be coded using either HiveQL or Jaql languages.
C) InfoSphere Streams supports both command line and graphical interfaces to administer the
D) InfoSphere Streams provides support for reuse of existing Java or C++ code, as well as Predictive Model Markup Language (PMML) models.

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