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IBM 000-N38 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: IBM InfoSphere BigInsights Architecture | - BigInsights system components and deployment models - Cluster configuration and management |
| Topic 2: Big Data and Hadoop Fundamentals | - Hadoop ecosystem components - HDFS architecture and data storage principles |
| Topic 3: Security and Administration | - Cluster monitoring and maintenance - User authentication and authorization |
| Topic 4: Data Processing and Analytics | - Text analytics and advanced analytics capabilities - MapReduce processing model - Big SQL and query processing |
| Topic 5: Data Ingestion and Integration | - Data loading techniques - Integration with external data sources |
IBM InfoSphere BigInsights Technical Mastery Test v2 Sample Questions:
Question 1
What is the InfoSphere BigInsights Credential Store?
A. The InfoSphere BigInsights credentials store is a designated folder on the distributed file system (DFS) that stores passwords, tokens, and other potentially sensitive information.
B. The InfoSphere BigInsights credentials store is a table stored in the HBase relational database that stores passwords, tokens, and other potentially sensitive information.
C. The InfoSphere BigInsights credentials store is a designated folder in the local file system (not HDFS) that stores the authorities and privileges for all users in the BigInsights environment.
D. The InfoSphere BigInsights credentials store is a designated file defined by an environment variable that stores the authorities and privileges for all users in the BigInsights environment.
Question 2
Which of the following options contain security enhancements available in InfoSphere BigInsights (choose two) ?
A. Trusted Context.
B. Kerberos authentication protocol.
C. Secure file transfers through SFTP protocol.
D. LDAP authentication
Question 3
InfoSphere BigInsights offers the following benefits to your organization, EXCEPT:
A. It cuts costs by providing an efficient compression algorithm based on row level compression using a dictionary to store repetitive patterns.
B. It enables analysis at scale.
C. It complements your existing infrastructure by extending your data collection and analysis capabilities.
D. It integrates data from a variety of structured and unstructured sources.
Question 4
Which of the following InfoSphere BigInsights features provides a vast library of extractors enabling actionable insights from large amounts of native textual data?
A. General Parallel File System.
B. BigSheets.
C. Adaptive MapReduce.
D. Text Analytics.
Solutions:
| Question 1 Answer: A | Question 2 Answer: C,D | Question 3 Answer: A | Question 4 Answer: D |






