Moving Data into Hadoop cognitive class Exam Answers:-

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Course Name :- Moving Data into Hadoop

Module 1 :- Lord  Scenario

Question 1 : What is Data at rest?

• Data that is being transferred over
• Data that is already in a file in some directory
• Data that hasn’t been used in a while
• Data that needs to be copied over

Question 2 : Data can be moved using BigSQL Load. True or false?

• True
• False

Question 3 : Which of the following does not relate to Flume?

• Pipe
• Sink
• Interceptors
• Source
• unanswered

Module 2 :- Using Sqoop

Question 1: Sqoop is designed to

• export data from HDFS to streaming software
• read and understand data from a relational database at a high level
• prevent “bad” data in a relational database from going into Hadoop
• transfer data between relational database systems and Hadoop

Question 2: Which of the following is NOT an argument for Sqoop?

• –update-key
• –split-from
• –target-dir
• –connect

Question 3 : By default, Sqoop assumes that it’s working with space-separated fields and that each record is terminated by a newline. True or false?

• True
• False

Module 3 : – Flume Overview

Question 1: Avro is a remote procedure call and serialization framework, developed within a separate Apache project. True or false?

• True
• False

Question 2 : Data sent through Flume

• may have different batching but must be in a constant stream
• may have different batching or a different reliability setup
• must be in a particular format
• has to be in a constant stream

Question 3: A single Avro source can receive data from multiple Avro sinks. True or false?

• True
• False

Module 4 : –  Using Flume

Question 1 : Which of the following is NOT a supplied Interceptor?

• Regex extractor
• Regex sinker
• HostType
• Static

Question 2: Channels are:-

• where the data is staged after having been read in by a source and not yet written out by a sink
• where the data is staged after having been read in by a sink and not yet written out by a source
• where the data is staged after having been written in by a source and not yet read out by a sink
• where the data is staged after having been written in by a sink and not yet written out by a source

Question 3 : One property for sources is selector.type? True or false?

• True
• False

Moving Data into Hadoop Cognitive class final exam Answers:-

Question 1. The HDFS copyFromLocal command can be used to

• capture streaming data that you want to store in Hadoop
• ensure that log files which are actively being used to capture logging from a web server are moved into Hadoop
• move data from a relational database or data warehouse into Hadoop
• None of the above

Question 2. What is the primary purpose of Sqoop in the Hadoop architecture?

• To “catch” logging data as it is written to log files and move it into Hadoop
• To schedule scripts that can be run periodically to collect data into Hadoop
• To import data from a relational database or data warehouse into Hadoop
• To move static files from the local file system into HDFS
• To stream data into Hadoop

Question 3. A Sqoop JDBC connection string must include

• the name of the database you wish to connect to
• the hostname of the database server
• the port that the database server is listening on
• the name of the JDBC driver to use for the connection
• All of the above

Question 4. Sqoop can be used to either import data from relational tables into Hadoop or export data from Hadoop to relational tables. True or false?

• True
• False

Question 5. When importing data via Sqoop, the imported data can include

• a collection of data from multiple tables via a join operation, as specified by a SQL query
• specific rows and columns from a specific table
• all of the data from a specific table
• All of the Above

Question 6. When importing data via Sqoop, the incoming data can be stored as

• Serialized Objects
• JSON
• XML
• None of the Above

Question 7. Sqoop uses MapReduce jobs to import and export data, and you can configure the number of Mappers used. True or false?

• True
• False

Question 8. What is the primary purpose of Flume in the Hadoop architecture?

• To “catch” logging data as it is written to log files and move it into Hadoop
• To schedule scripts that can be run periodically to collect data into Hadoop
• To import data from a relational database or data warehouse into Hadoop
• To move static files from the local file system into HDFS
• To stream data into Hadoop

Question 9. When you create the configuration file for a Flume agent, you must configure

• an Interceptor
• a Sink
• a Channel
• a Source
• All of the above

Question 10. When using Flume, a Source and a Sink are “wired together” using an Interceptor. True or false?

• True
• False

Question 11. Flume agents can run on multiple servers in the enterprise, and they can communicate with each other over the network to move data. True or false?

• True
• False

Question 12. Possible Flume channels include

• The implementation of your own channel
• File Storage
• Database Storage
• In Memory
• All of the Above

Question 13. Flume provides a number of source types including

• Elastic Search
• HBase
• Hive
• HDFS
• None of the Above

Question 14. Flume agent configuration is specified using

• CSV
• a text file, similar to the Java.properties format
• JSON
• XML, similar to Sqoop configuration

Question 15. To pass data from a Flume agent on one node to another, you can configure an Avro sink on the first node and an Avro source on the second. True or false?

• True
• False