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IBM P2090-038 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Development and Programming | - Scripting and automation in Hadoop environment - Developing applications using BigInsights tools - Integration with external systems |
| Topic 2: IBM BigInsights Overview | - Hadoop ecosystem integration concepts - BigInsights architecture and ecosystem - Core components and services |
| Topic 3: Cluster Installation and Configuration | - Installation planning and prerequisites - System tuning and optimization - Cluster setup and configuration steps |
| Topic 4: Data Processing and Analytics | - Analytical tool usage and reporting - Big SQL and query processing - Data ingestion and processing workflows |
| Topic 5: Administration and Maintenance | - Monitoring and performance management - Troubleshooting and issue resolution - Security and access control |
IBM InfoSphere BigInsights Technical Mastery Test v2 Sample Questions:
1. Which of the following options best describes the differences between a traditional data warehouse environment and a Hadoop environment?
A) Typically, data stored in data warehousing environments is rarely filtered and pre-processed. On the other hand, data injected into Hadoop environments is always pre-processed and filtered.
B) Typically, data stored in Hadoop environments is cleaned up before storing in the distributed file-system.
C) Traditional data warehousing environments are mostly ideal for analyzing structured data from various systems, while a Hadoop environment is well suited to deal with structured, semi-structured, and unstructured data, as well as when a data discovery process is needed.
D) Hadoop environments are mostly ideal for analyzing structured and semi-structured data from a single system, while traditional data warehousing environment is well suited to deal with unstructured data, as well as when a data discovery process is needed.
2. Which of the following options is CORRECT?
A) InfoSphere BigInsights is based on a branched Hadoop distribution, and therefore backwards compatibility is not guaranteed.
B) InfoSphere BigInsights is based on the non forked core Hadoop distribution, but backwards compatibility with the Apache Hadoop project is not guaranteed, therefore applications written for Hadoop might not run on BigInsights.
C) InfoSphere BigInsights is based on the non forked 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.
D) InfoSphere BigInsights is a distributed file system used as base for Hadoop distributions.
3. InfoSphere BigInsights supports the following types of authentication, EXCEPT:
A) PAM authentication.
B) Kerberos authentication
C) LDAP authentication
D) Flat File.
4. Which of the following compression algorithms is used by InfoSphere BigInsights to provide an additional compression option over the ones that come with the base Hadoop distribution?
A) lzo.
B) gzip.
C) lza.
D) brzip2.
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: C | Question # 3 Answer: B | Question # 4 Answer: A |






