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Exam Code: 000-N32
Exam Name: IBM (IBM Big Data Fundamentals Technical Mastery Test v1)
One year free update, No help, Full refund!
Total Q&A: 34 Questions and Answers
Last Update: 2013-09-27

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NO.1 In a traditional Hadoop stack, which of the following components provides data warehouse
infrastructure and allows SQL developers and business analysts to leverage their existing SQL skills?
A. Avro.
B. Hive.
C. Zookeeper.
D. Text analytics.
Answer: B

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NO.2 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 is not able to mirror pre-existing security frameworks, therefore it
doesnt make use of industry-standard authentication and authorization processes already in place.
C. InfoSphere Data Explorer can find, extract and deliver content regardless of format or where it
resides.
D. InfoSphere Data Explorer uses a vector-based index for unique search and indexing flexibility.
Answer: C

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NO.3 Which of the following options is CORRECT?
A. InfoSphere Streams submits queries to structured static data.
B. InfoSphere Streams submits queries to structured dynamic data.
C. InfoSphere Streams submits queries to unstructured dynamic data.
D. InfoSphere Streams submits dynamic data to pre-existing queries.
Answer: D

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NO.4 Which of the following options contain security enhancements available in InfoSphere
BigInsights (Choose two) ?
A. LDAP authentication
B. Secure file transfers through SFTP protocol.
C. Trusted Context.
D. Kerberos authentication protocol.
Answer: A, B

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NO.5 Which of the following InfoSphere BigInsights features provides a vast library of
extractors enabling actionable insights from large amounts of native textual data?
A. Text Analytics.
B. Adaptive MapReduce.
C. General Parallel File System.
D. BigSheets.
Answer: A

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NO.6 Hadoop environments are optimized for:
A. Processing transactions (random access).
B. Low latency data access.
C. Batch processing on large files.
D. Intensive calculation with little data.
Answer: C

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