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Exam Code: CCB-400
Exam Name: Cloudera Certified Specialist in Apache HBase
One year free update, No help, Full refund!
CCB-400 Practice Exam Total Q&A: 45 Questions and Answers
Last Update: 2014-05-08

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Exam Code: CCD-470
Exam Name: Cloudera Certified Developer for Apache Hadoop CDH4 Upgrade Exam (CCDH)
One year free update, No help, Full refund!
CCD-470 Training online Total Q&A: 94 Questions and Answers
Last Update: 2014-05-08

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NO.1 Assuming default settings, which best describes the order of data provided to a reducer’s
reduce
method:
A. The keys given to a reducer aren’t in a predictable order, but the values associated with those
keys always are.
B. Both the keys and values passed to a reducer always appear in sorted order.
C. Neither keys nor values are in any predictable order.
D. The keys given to a reducer are in sorted order but the values associated with each key are in
no predictable order
Answer: D

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NO.2 You want to populate an associative array in order to perform a map-side join. You’ve decided
to
put this information in a text file, place that file into the DistributedCache and read it in your
Mapper before any records are processed.
Indentify which method in the Mapper you should use to implement code for reading the file and
populating the associative array?
A. combine
B. map
C. init
D. configure
Answer: D

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NO.3 You are running a job that will process a single InputSplit on a cluster which has no other jobs
currently running. Each node has an equal number of open Map slots. On which node will Hadoop
first attempt to run the Map task?
A. The node with the most memory
B. The node with the lowest system load
C. The node on which this InputSplit is stored
D. The node with the most free local disk space
Answer: C

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NO.4 What data does a Reducer reduce method process?
A. All the data in a single input file.
B. All data produced by a single mapper.
C. All data for a given key, regardless of which mapper(s) produced it.
D. All data for a given value, regardless of which mapper(s) produced it.
Answer: C

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NO.5 Which describes how a client reads a file from HDFS?
A. The client queries the NameNode for the block location(s). The NameNode returns the block
location(s) to the client. The client reads the data directory off the DataNode(s).
B. The client queries all DataNodes in parallel. The DataNode that contains the requested data
responds directly to the client. The client reads the data directly off the DataNode.
C. The client contacts the NameNode for the block location(s). The NameNode then queries the
DataNodes for block locations. The DataNodes respond to the NameNode, and the NameNode
redirects the client to the DataNode that holds the requested data block(s). The client then reads
the data directly off the DataNode.
D. The client contacts the NameNode for the block location(s). The NameNode contacts the
DataNode that holds the requested data block. Data is transferred from the DataNode to the
NameNode, and then from the NameNode to the client.
Answer: C

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NO.6 Identify the tool best suited to import a portion of a relational database every day as files into
HDFS, and generate Java classes to interact with that imported data?
A. Oozie
B. Flume
C. Pig
D. Hue
E. Hive
F. Sqoop
G. fuse-dfs
Answer: F

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NO.7 What happens in a MapReduce job when you set the number of reducers to zero?
A. No reducer executes, but the mappers generate no output.
B. No reducer executes, and the output of each mapper is written to a separate file in HDFS.
C. No reducer executes, but the outputs of all the mappers are gathered together and written to a
single file in HDFS.
D. Setting the number of reducers to zero is invalid, and an exception is thrown.
Answer: B

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Exam Code: CCD-470
Exam Name: Cloudera (Cloudera Certified Developer for Apache Hadoop CDH4 Upgrade Exam (CCDH))
One year free update, No help, Full refund!
Total Q&A: 94 Questions and Answers
Last Update: 2014-03-09

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NO.1 What happens in a MapReduce job when you set the number of reducers to zero?
A. No reducer executes, but the mappers generate no output.
B. No reducer executes, and the output of each mapper is written to a separate file in HDFS.
C. No reducer executes, but the outputs of all the mappers are gathered together and written to a
single file in HDFS.
D. Setting the number of reducers to zero is invalid, and an exception is thrown.
Answer: B

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NO.2 Identify the tool best suited to import a portion of a relational database every day as files into
HDFS, and generate Java classes to interact with that imported data?
A. Oozie
B. Flume
C. Pig
D. Hue
E. Hive
F. Sqoop
G. fuse-dfs
Answer: F

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NO.3 You want to populate an associative array in order to perform a map-side join. You’ve decided
to
put this information in a text file, place that file into the DistributedCache and read it in your
Mapper before any records are processed.
Indentify which method in the Mapper you should use to implement code for reading the file and
populating the associative array?
A. combine
B. map
C. init
D. configure
Answer: D

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NO.4 You are running a job that will process a single InputSplit on a cluster which has no other jobs
currently running. Each node has an equal number of open Map slots. On which node will Hadoop
first attempt to run the Map task?
A. The node with the most memory
B. The node with the lowest system load
C. The node on which this InputSplit is stored
D. The node with the most free local disk space
Answer: C

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NO.5 Which describes how a client reads a file from HDFS?
A. The client queries the NameNode for the block location(s). The NameNode returns the block
location(s) to the client. The client reads the data directory off the DataNode(s).
B. The client queries all DataNodes in parallel. The DataNode that contains the requested data
responds directly to the client. The client reads the data directly off the DataNode.
C. The client contacts the NameNode for the block location(s). The NameNode then queries the
DataNodes for block locations. The DataNodes respond to the NameNode, and the NameNode
redirects the client to the DataNode that holds the requested data block(s). The client then reads
the data directly off the DataNode.
D. The client contacts the NameNode for the block location(s). The NameNode contacts the
DataNode that holds the requested data block. Data is transferred from the DataNode to the
NameNode, and then from the NameNode to the client.
Answer: C

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NO.6 Assuming default settings, which best describes the order of data provided to a reducer’s
reduce
method:
A. The keys given to a reducer aren’t in a predictable order, but the values associated with those
keys always are.
B. Both the keys and values passed to a reducer always appear in sorted order.
C. Neither keys nor values are in any predictable order.
D. The keys given to a reducer are in sorted order but the values associated with each key are in
no predictable order
Answer: D

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NO.7 What data does a Reducer reduce method process?
A. All the data in a single input file.
B. All data produced by a single mapper.
C. All data for a given key, regardless of which mapper(s) produced it.
D. All data for a given value, regardless of which mapper(s) produced it.
Answer: C

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Exam Code: CCD-470
Exam Name: Cloudera (Cloudera Certified Developer for Apache Hadoop CDH4 Upgrade Exam (CCDH))
One year free update, No help, Full refund!
Total Q&A: 94 Questions and Answers
Last Update: 2014-01-18

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NO.1 You want to populate an associative array in order to perform a map-side join. You’ve decided
to
put this information in a text file, place that file into the DistributedCache and read it in your
Mapper before any records are processed.
Indentify which method in the Mapper you should use to implement code for reading the file and
populating the associative array?
A. combine
B. map
C. init
D. configure
Answer: D

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NO.2 You are running a job that will process a single InputSplit on a cluster which has no other jobs
currently running. Each node has an equal number of open Map slots. On which node will Hadoop
first attempt to run the Map task?
A. The node with the most memory
B. The node with the lowest system load
C. The node on which this InputSplit is stored
D. The node with the most free local disk space
Answer: C

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NO.3 Which describes how a client reads a file from HDFS?
A. The client queries the NameNode for the block location(s). The NameNode returns the block
location(s) to the client. The client reads the data directory off the DataNode(s).
B. The client queries all DataNodes in parallel. The DataNode that contains the requested data
responds directly to the client. The client reads the data directly off the DataNode.
C. The client contacts the NameNode for the block location(s). The NameNode then queries the
DataNodes for block locations. The DataNodes respond to the NameNode, and the NameNode
redirects the client to the DataNode that holds the requested data block(s). The client then reads
the data directly off the DataNode.
D. The client contacts the NameNode for the block location(s). The NameNode contacts the
DataNode that holds the requested data block. Data is transferred from the DataNode to the
NameNode, and then from the NameNode to the client.
Answer: C

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NO.4 What happens in a MapReduce job when you set the number of reducers to zero?
A. No reducer executes, but the mappers generate no output.
B. No reducer executes, and the output of each mapper is written to a separate file in HDFS.
C. No reducer executes, but the outputs of all the mappers are gathered together and written to a
single file in HDFS.
D. Setting the number of reducers to zero is invalid, and an exception is thrown.
Answer: B

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NO.5 Assuming default settings, which best describes the order of data provided to a reducer’s
reduce
method:
A. The keys given to a reducer aren’t in a predictable order, but the values associated with those
keys always are.
B. Both the keys and values passed to a reducer always appear in sorted order.
C. Neither keys nor values are in any predictable order.
D. The keys given to a reducer are in sorted order but the values associated with each key are in
no predictable order
Answer: D

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NO.6 What data does a Reducer reduce method process?
A. All the data in a single input file.
B. All data produced by a single mapper.
C. All data for a given key, regardless of which mapper(s) produced it.
D. All data for a given value, regardless of which mapper(s) produced it.
Answer: C

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NO.7 Identify the tool best suited to import a portion of a relational database every day as files into
HDFS, and generate Java classes to interact with that imported data?
A. Oozie
B. Flume
C. Pig
D. Hue
E. Hive
F. Sqoop
G. fuse-dfs
Answer: F

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Exam Name: Cloudera (Cloudera Certified Specialist in Apache HBase)

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NO.1 You have an "Employees" table in HBase. The Row Keys are the employees' IDs. You would like
to retrieve all employees who have an employee ID between 'user_100' and 'user_110'.
The shell command you would use to complete this is:
A. scan'Employees', {STARTROW =>'user_100', STOPROW =>'user_111'}
B. get'Employees', {STARTROW =>'user_100', STOPROW =>'user_110'}
C. scan'Employees', {STARTROW =>'user_100', SLIMIT => 10}
D. scan'Employees', {STARTROW =>'user_100', STOPROW =>'user_110'}
Answer: D

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NO.2 Under default settings, which feature of HBase ensures that data won't be lost in the event of
a Region Server failure?
A. AllHBase activity is written to the WAL, which is stored in HDFS
B. All operations are logged on theHMaster.
C. HBase is ACID compliant, which guarantees that itis Durable.
D. Data is stored on the local filesystem of the RegionServer.
Answer: A

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NO.3 You have an average key-value pair size of 100 bytes.
Your primary access is random needs on the table.
Which of the following actions will speed up random reading performance on your cluster?
A. Turn off WAL on puts
B. Increase the number of versions kept
C. Decrease the block size
D. Increase the block size
Answer: D

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NO.4 You have one primary HMaster and one standby. Your primary HMaster Falls fails and your
client application needs to make a metadata change.
Which of the following is the effect on your client application?
A. The client will queryZooKeepertofind the location of the new HMaster and complete the
metadata change.
B. The client will make the metadata change regardless of the slate of the HMaster.
C. The new HMaster will notify the client and complete the metadata change.
D. Theclientapplication will fail with a runtime error.
Answer: A

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NO.5 The cells in a given row have versions that range from 1000 to 2000. You execute a delete
specifying the value 3000 for the version.
What is the outcome?
A. The delete fails with an error.
B. Only cells equal to the Specified version are deleted.
C. The entire row is deleted.
D. Nothing in the row is deleted.
Answer: C

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