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IBM P2090-038 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Management and Processing | 25% | - Big SQL, Hive, and Pig usage - Data ingestion and storage - MapReduce and Adaptive MapReduce |
| Topic 2: Architecture and Components | 25% | - BigInsights architecture overview - Hadoop distribution and core components - BigInsights value-add features |
| Topic 3: Installation and Configuration | 25% | - System requirements and planning - Deployment modes and procedures - Post-installation setup and verification |
| Topic 4: Security, Integration and Administration | 25% | - Authentication and authorization - Integration with IBM and third-party tools - Monitoring, performance tuning and troubleshooting |
IBM InfoSphere BigInsights Technical Mastery Test v2 Sample Questions:
Which of the following options is CORRECT in regards to integrating InfoSphere BigInsights and warehousing environments?
- A. InfoSphere BigInsights Enterprise Edition also comes with a standard Java Database Connectivity (JDBC) connector, making it possible for organizations to quickly integrate with a wide variety of data and information systems, including Oracle, Microsoft SQL Server, MySQL and Teradata.
- B. There is no integration between InfoSphere BigInsights and warehousing environments since they deal with different type of data.
- C. Frequently accessed data should be maintained in the BigInsights environment while old?or outdated information can be offloaded to the Frequently accessed data should be maintained in the BigInsights environment while ?old?or outdated information can be offloaded to the warehouse environment.
- D. There is no direct interaction between InfoSphere BigInsighs and data warehousing environments. However, InfoSphere Streams can be used to stream data between the two environments.
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. brzip2.
- B. gzip.
- C. lzo.
- D. lza.
What is Big SQL?
- A. Big SQL is a feature in Streams that allows for real time analysis of data via standard SQL syntax.
- B. Big SQL is a feature in BigInsights that provides a SQL like interface to data contained in Hbase tables only. Other data sources in HDFS mustbe accessed via other means such as HiveQL.
- C. Big SQL is a feature in Data Explorer that allows for indexing of data from SQL sources such as data warehouses.
- D. Big SQL is a feature in BigInsights that allows for native SQL query access for Hadoop, providing full ANSI SQL 92 compliance and standardSQL syntax such as joins, for data contained in a variety of formats such as structured Hive tables, Hbase tables, or csv and other delimitedfiles in HDFS.
What is a major difference between HDFS and GPFS-FPO?
- A. Unlike HDFS, GPFS-FPO is a kernel level, POSIX compliant, and highly available file system that allows for standard applications to also use the storage area marked for Hadoop use.
- B. Unlike HDFS, GPFS-FPO is a kernel level, POSIX compliant file system that allows for standard applications to also use the storage area marked for Hadoop use. Like HDFS, GPFSFPO also has an issue with the meta data name node service which may be a single point of failure.
- C. There is no difference, as GPFS-FPO is the new open source standard version for the Hadoop file system.
- D. There is no difference, GPFS-FPO is just IBM version of HDFS in BigInsights.
