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IBM P2090-038 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Security, Integration and Administration | 25% | - Monitoring, performance tuning and troubleshooting - Authentication and authorization - Integration with IBM and third-party tools |
| Topic 2: Architecture and Components | 25% | - BigInsights value-add features - BigInsights architecture overview - Hadoop distribution and core components |
| Topic 3: Data Management and Processing | 25% | - Data ingestion and storage - Big SQL, Hive, and Pig usage - MapReduce and Adaptive MapReduce |
| Topic 4: Installation and Configuration | 25% | - Post-installation setup and verification - Deployment modes and procedures - System requirements and planning |
IBM InfoSphere BigInsights Technical Mastery Test v2 Sample Questions:
1. What does ig Data?represent?What does ?ig Data?represent?
A) A concept and platform of technologies with the characteristics of the ? Vs? that is able to handle large amounts of unstructured,semi-structured, and structured raw data unlike traditional systems.
B) A Hadoop feature capable of processing vast amounts of data in-parallel on large clusters of commodity hardware in a reliable, fault-tolerant manner.
C) A database feature capable of converting pre-existing structured data into unstructured raw data.
D) Only data stored in the BIGDATA table in any relational database.
2. Which of the following options best describes the differences between a traditional data warehouse environment and a Hadoop environment?
A) Typically, data stored in Hadoop environments is cleaned up before storing in the distributed file-system.
B) 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.
C) 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.
D) 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.
3. The analytic capabilities that come built-in with the Big Data platform include:
A) Financial
B) Image and Video
C) Acoustic
D) All of the above
4. InfoSphere BigInsights supports the following types of authentication, EXCEPT:
A) Flat File.
B) PAM authentication.
C) Kerberos authentication
D) LDAP authentication
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: D | Question # 3 Answer: D | Question # 4 Answer: C |
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