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Exam Code: A2040-440Exam Name: Assessment: IBM WebSphere Portal & Portal Products Fundamentals
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A2040-440 Practice Test Total Q&A: 125 Questions and Answers
Last Update: 2014-09-25
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Exam Code: P2090-038Exam Name: IBM InfoSphere BigInsights Technical Mastery Test v2
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P2090-038 Exam Tests Total Q&A: 33 Questions and Answers
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NO.1 What does ig Data?represent?What does ?ig Data?represent?
A. A Hadoop feature capable of processing vast amounts of data in-parallel on large clusters of
commodity hardware in a reliable, fault-tolerant manner.
B. 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.
C. A database feature capable of converting pre-existing structured data into unstructured raw data.
D. Only data stored in the BIGDATA table in any relational database.
Answer: B
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NO.2 Which of the following components is NOT included in the BigInsights Basic Edition
distribution?
A. Hadoop Distributed File System.
B. Hive.
C. Pig.
D. BigSheets.
Answer: D
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NO.3 Which of the following options best describes the differences between a traditional data
warehouse environment and a Hadoop environment?
A. Traditional data warehousing environments are mostly ideal for analyzing structured data from
various systems, while a Hadoop environment is well suited to deal with structured, semi-structured,
and unstructured data, as well as when a data discovery process is needed.
B. Hadoop environments are mostly ideal for analyzing structured and semi-structured data from a
single system, while traditional data warehousing environment is well suited to deal with
unstructured data, as well as when a data discovery process is needed.
C. Typically, data stored in Hadoop environments is cleaned up before storing in the distributed
file-system.
D. Typically, data stored in data warehousing environments is rarely filtered and pre-processed. On
the other hand, data injected into Hadoop environments is always pre-processed and filtered.
Answer: A
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NO.4 What is Big SQL?
A. Big SQL is a feature in Data Explorer that allows for indexing of data from SQL sources such as
data warehouses.
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 Streams that allows for real time analysis of data via standard SQL syntax.
D. 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.
Answer: B
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NO.5 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 the JAQL programming language.
D. Applications will connect using either HiveQL or Pig programming languages.
Answer: B
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NO.6 What is the InfoSphere BigInsights Credential Store?
A. The InfoSphere BigInsights credentials store is a table stored in the HBase relational database that
stores passwords, tokens, and other potentially sensitive information.
B. The InfoSphere BigInsights credentials store is a designated folder on the distributed file system
(DFS) that stores passwords, tokens, and other potentially sensitive information.
C. The InfoSphere BigInsights credentials store is a designated folder in the local file system (not
HDFS) that stores the authorities and privileges for all users in the BigInsights environment.
D. The InfoSphere BigInsights credentials store is a designated file defined by an environment
variable that stores the authorities and privileges for all users in the BigInsights environment.
Answer: B
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