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IBM 000-N38 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 Streams that allows for real time analysis of data via standard SQL syntax.
B. 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.
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 Data Explorer that allows for indexing of data from SQL sources such as data warehouses.

Question 2

What does ig Data?represent?What does ?ig Data?represent?

A. A database feature capable of converting pre-existing structured data into unstructured raw data.
B. Only data stored in the BIGDATA table in any relational database.
C. 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.
D. A Hadoop feature capable of processing vast amounts of data in-parallel on large clusters of commodity hardware in a reliable, fault-tolerant manner.

Question 3

How do existing applications usually connect to InfoSphere BigInsights using the Big SQL feature?

A. Applications will connect using the JAQL programming language.
B. Applications will connect using either HiveQL or Pig programming languages.
C. Applications will connect using standard JDBC and ODBC drivers that come with InfoSphere BigInsights.
D. Applications will connect using custom made connectors programmed in SPL.

Question 4

Which of the following options is NOT CORRECT?

A. Big data solutions are ideal for Online Transaction Processing (OLTP) environments.
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 analyzing not only raw structured data, but semi structured and unstructured data from a wide variety ofsources.

Solutions: