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IBM 000-N32 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Big Data Architecture | - Distributed computing concepts - Data ingestion and processing pipelines |
| Topic 2: Big Data Technologies | - MapReduce and distributed processing - Spark fundamentals - Hadoop ecosystem overview |
| Topic 3: Big Data Concepts | - Definition and characteristics of big data - 3Vs / 5Vs of big data (volume, velocity, variety, etc.) |
| Topic 4: Data Storage and Management | - NoSQL databases - HDFS and distributed storage systems |
| Topic 5: Big Data Analytics | - Data processing and analytics techniques - Use cases and business applications |
IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:
Question 1
Which of the following statements is NOT CORRECT?
A. InfoSphere Streams supports communications to Internet Protocol version 6 (IPv6) networks.
B. InfoSphere Streams provides support for reuse of existing Java or C++ code, as well as Predictive Model Markup Language (PMML) models.
C. InfoSphere Streams jobs must be coded using either HiveQL or Jaql languages.
D. InfoSphere Streams supports both command line and graphical interfaces to administer the
Question 2
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 divided into blocks, and copies of these blocks are replicated across multiple servers in the Hadoop cluster.
D. The data is converted into a single block, and copies of this block are replicated across multiple servers in the Hadoop cluster.
Question 3
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 partitioned tables stored in the HBase component, while IBM?s Adaptive MapReduce is optimized for operating on large partitioned files.
C. 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.
D. 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.
Question 4
Which of the following options contain security enhancements available in InfoSphere BigInsights (Choose two) ?
A. Trusted Context.
B. LDAP authentication
C. Kerberos authentication protocol.
D. Secure file transfers through SFTP protocol.
Solutions:
| Question 1 Answer: C | Question 2 Answer: C | Question 3 Answer: A | Question 4 Answer: B,D |
