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IBM P2090-038 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Security, Integration and Administration | 25% | - Authentication and authorization - Monitoring, performance tuning and troubleshooting - Integration with IBM and third-party tools |
| Installation and Configuration | 25% | - Deployment modes and procedures - Post-installation setup and verification - System requirements and planning |
| Architecture and Components | 25% | - BigInsights architecture overview - BigInsights value-add features - Hadoop distribution and core components |
| Data Management and Processing | 25% | - MapReduce and Adaptive MapReduce - Data ingestion and storage - Big SQL, Hive, and Pig usage |
IBM InfoSphere BigInsights Technical Mastery Test v2 Sample Questions:
1. How do existing applications usually connect to InfoSphere BigInsights using the Big SQL feature?
A) Applications will connect using custom made connectors programmed in SPL.
B) Applications will connect using standard JDBC and ODBC drivers that come with InfoSphere BigInsights.
C) Applications will connect using either HiveQL or Pig programming languages.
D) Applications will connect using the JAQL programming language.
2. InfoSphere BigInsights offers the following benefits to your organization, EXCEPT:
A) It complements your existing infrastructure by extending your data collection and analysis capabilities.
B) It cuts costs by providing an efficient compression algorithm based on row level compression using a dictionary to store repetitive patterns.
C) It enables analysis at scale.
D) It integrates data from a variety of structured and unstructured sources.
3. 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) Only data stored in the BIGDATA table in any relational database.
D) A database feature capable of converting pre-existing structured data into unstructured raw data.
4. Hadoop environments are optimized for:
A) Low latency data access.
B) Batch processing on large files.
C) Intensive calculation with little data.
D) Processing transactions (random access).
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: B | Question # 3 Answer: A | Question # 4 Answer: B |
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