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IBM P2090-038 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: IBM InfoSphere BigInsights Overview | - Architecture and components
|
| Topic 2: Administration and maintenance | - Cluster administration
|
| Topic 3: Data processing and analytics | - Data ingestion and management
|
IBM InfoSphere BigInsights Technical Mastery Test v2 Sample Questions:
1. Which of the following options contain security enhancements available in InfoSphere BigInsights (choose two) ?
A) Trusted Context.
B) Secure file transfers through SFTP protocol.
C) LDAP authentication
D) Kerberos authentication protocol.
2. Which of the following InfoSphere Biglnsights editions includes the Adaptive MapReduce feature?
A) InfoSphere Biglnsights Extended Developer Edition.
B) InfoSphere Biglnsights Advanced Enterprise Edition.
C) InfoSphere Biglnsights Express Edition.
D) InfoSphere Biglnsights Enterprise Edition.
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 database feature capable of converting pre-existing structured data into unstructured raw data.
C) A Hadoop feature capable of processing vast amounts of data in-parallel on large clusters of commodity hardware in a reliable, fault-tolerant manner.
D) Only data stored in the BIGDATA table in any relational database.
4. 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 Data Explorer that allows for indexing of data from SQL sources such as data warehouses.
C) 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.
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.
Solutions:
| Question # 1 Answer: B,C | Question # 2 Answer: D | Question # 3 Answer: A | Question # 4 Answer: D |




