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IBM P2090-038 Exam Syllabus Topics:

IBM InfoSphere BigInsights Technical Mastery Test v2 Sample Questions:

Question 1

What is Big SQL?

A. 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.
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 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.
D. Big SQL is a feature in Streams that allows for real time analysis of data via standard SQL syntax.

Question 2

Which of the following options is NOT CORRECT?

A. Big data solutions are ideal for analyzing not only raw structured data, but semi structured and unstructured data from a wide variety ofsources.
B. Big data solutions are ideal for iterative and exploratory analysis when business measures on data are not predetermined.
C. Big data solutions are ideal when all, or most, of the data needs to be analyzed versus a sample of the data; or a sampling of data isn nearlyBig data solutions are ideal when all, or most, of the data needs to be analyzed versus a sample of the data; or a sampling of data isn? nearlyas effective as a larger set of data from which to derive analysis.
D. Big data solutions are ideal for Online Transaction Processing (OLTP) environments.

Question 3

What are the "Vs"that characterize IBM Big Data initiative?

A. Velocity, Volatility, Variety, Veracity
B. Variety, Versions, Velocity, Volatility
C. Volume, Volatility, Velocity, Variety
D. Veracity, Variety, Volume, Velocity

Question 4

InfoSphere BigInsights offers the following benefits to your organization, EXCEPT:

A. It enables analysis at scale.
B. It complements your existing infrastructure by extending your data collection and analysis capabilities.
C. It cuts costs by providing an efficient compression algorithm based on row level compression using a dictionary to store repetitive patterns.
D. It integrates data from a variety of structured and unstructured sources.

Solutions: