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Exam Code: CCB-400
Exam Name: Cloudera (Cloudera Certified Specialist in Apache HBase)
One year free update, No help, Full refund!
Total Q&A: 45 Questions and Answers
Last Update: 2013-12-15

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NO.1 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.2 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.3 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.4 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.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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Exam Code: CCA-470
Exam Name: Cloudera (Cloudera Certified Administrator for Apache Hadoop CDH4 Upgrade Exam (CCAH))
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Total Q&A: 87 Questions and Answers
Last Update: 2013-11-11

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NO.1 How does the NameNode know DataNodes are available on a cluster running MapReduce v1
(MRv1)
A. DataNodes listed in the dfs.hosts file. The NameNode uses as the definitive list of available
DataNodes.
B. DataNodes heartbeat in the master on a regular basis.
C. The NameNode broadcasts a heartbeat on the network on a regular basis, and DataNodes
respond.
D. The NameNode send a broadcast across the network when it first starts, and DataNodes
respond.
Answer: B

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NO.2 A client wants to read a file from HDFS. How does the data get from the DataNodes to the
client?
A. The NameNode reads the blocks from the DataNodes, and caches them. Then, the application
reads the blocks from the NameNode.
B. The application reads the blocks directly from the DataNodes.
C. The blocks are sent to a single DataNode, then the application reads the blocks from that Data
Node.
Answer: B

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NO.3 The failure of which daemon makes HDFS unavailable on a cluster running MapReduce v1
(MRv1)?
A. Node Manager
B. Application Manager
C. Resource Manager
D. Secondary NameNode
E. NameNode
F. DataNode
Answer: E

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NO.4 You have a cluster running with the FIFO scheduler enabled. You submit a large job A to the
cluster which you expect to run for one hour. Then, you submit job B to the cluster, which you
expect to run a couple of minutes only. Let’s assume both jobs are running at the same priority.
How does the FIFO scheduler execute the jobs? (Choose 3)
A. The order of execution of tasks within a job may vary.
B. When a job is submitted, all tasks belonging to that job are scheduled.
C. Given jobs A and B submitted in that order, all tasks from job A will be scheduled before all
tasks from job B.
D. Since job B needs only a few tasks, if might finish before job A completes.
Answer: A,B,C

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NO.5 Identify the function performed by the Secondary NameNode daemon on a cluster configured
to
run with a single NameNode.
A. In this configuration, the Secondary NameNode performs a checkpoint operation on the files by
the NameNode.
B. In this configuration, the Secondary NameNode is standby NameNode, ready to failover and
provide high availability.
C. In this configuration, the Secondary NameNode performs deal-time backups of the NameNode.
D. In this configuration, the Secondary NameNode servers as alternate data channel for clients to
reach HDFS, should the NameNode become too busy.
Answer: A

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NO.6 What does CDH packaging do on install to facilitate Kerberos security setup?
A. Automatically configure permissions for log files at $MAPPED_LOG_DIR/userlogs
B. Creates and configures you kdc with default cluster values.
C. Creates users for hdfs and mapreduce to facilitate role assignment.
D. Creates a set of pre-configured Kerberos keytab files and their permissions.
E. Creates directories for temp, hdfs, and mapreduce with correct permissions.
Answer: C

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NO.7 In HDFS, you view a file with rw-r--r-- set as its permissions. What does this tell you about the
file?
A. The file cannot be deleted by anyone but the owner
B. The file cannot be deleted by anyone
C. The file cannot be run as a MapReduce job
D. The file’s contents can be modified by the owner, but no-one else
E. As a Filesystem in Userspace (FUSE), HDFS files are available to all user’s on a cluster
regardless of their underlying POSIX permissions.
Answer: A

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NO.8 Compare the hardware requirements of the NameNode with that of the DataNodes in a
Hadoop
cluster running MapReduce v1 (MRv1):
A. The NameNode requires more memory and requires greater disk capacity than the DataNodes.
B. The NameNode and DataNodes should the same hardware configuration.
C. The NameNode requires more memory and no disk drives.
D. The NameNode requires more memory but less disk capacity.
E. The NameNode requires less memory and less disk capacity than the DataNodes.
Answer: D

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NO.9 Which two features does Kerberos security add to a Hadoop cluster?
A. Authentication for user access to the cluster against a central server
B. Encryption for data on disk ("at rest")
C. Encryption on all remote procedure calls (RPCs)
D. User authentication on all remote procedure calls (RPcs)
E. Root access to the cluster for users hdfs and mapred but non-root acess clients
Answer: C,D

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10. Which three processes does HDFS High Availability (HA) enable on your cluster?
A. Automatically 'fail over' between NameNodes if one goes down
B. Write data to two clusterssimultaneously
C. Shut one NameNode down for maintenance without halting the cluster
D. Manually 'fail over' between NameNodes
E. Configure unlimited hot standby NameNode.
Answer: A,C,D

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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: 2013-11-08

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NO.1 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.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 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.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 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.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 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 Code: CCD-410
Exam Name: Cloudera (Cloudera Certified Developer for Apache Hadoop (CCDH))
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Total Q&A: 60 Questions and Answers
Last Update: 2013-09-29

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NO.1 In a large MapReduce job with m mappers and n reducers, how many distinct copy operations
will
there be in the sort/shuffle phase?
A. mXn (i.e., m multiplied by n)
B. n
C. m
D. m+n (i.e., m plus n)
E. E.mn(i.e., m to the power of n)
Answer: A

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NO.2 In a MapReduce job with 500 map tasks, how many map task attempts will there be?
A. It depends on the number of reduces in the job.
B. Between 500 and 1000.
C. At most 500.
D. At least 500.
E. Exactly 500.
Answer: D

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NO.3 Which process describes the lifecycle of a Mapper?
A. The JobTracker calls the TaskTracker’s configure () method, then its map () method and finally
its close () method.
B. The TaskTracker spawns a new Mapper to process all records in a single input split.
C. The TaskTracker spawns a new Mapper to process each key-value pair.
D. The JobTracker spawns a new Mapper to process all records in a single file.
Answer: C

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NO.4 Your cluster’s HDFS block size in 64MB. You have directory containing 100 plain text files, each
of
which is 100MB in size. The InputFormat for your job is TextInputFormat. Determine how many
Mappers will run?
A. 64
B. 100
C. 200
D. 640
Answer: C

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NO.5 For each intermediate key, each reducer task can emit:
A. As many final key-value pairs as desired. There are no restrictions on the types of those keyvalue
pairs (i.e., they can be heterogeneous).
B. As many final key-value pairs as desired, but they must have the same type as the intermediate
key-value pairs.
C. As many final key-value pairs as desired, as long as all the keys have the same type and all the
values have the same type.
D. One final key-value pair per value associated with the key; no restrictions on the type.
E. One final key-value pair per key; no restrictions on the type.
Answer: E

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NO.6 When is the earliest point at which the reduce method of a given Reducer can be called?
A. As soon as at least one mapper has finished processing its input split.
B. As soon as a mapper has emitted at least one record.
C. Not until all mappers have finished processing all records.
D. It depends on the InputFormat used for the job.
Answer: C

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NO.7 Can you use MapReduce to perform a relational join on two large tables sharing a key?
Assume
that the two tables are formatted as comma-separated files in HDFS.
A. Yes.
B. Yes, but only if one of the tables fits into memory
C. Yes, so long as both tables fit into memory.
D. No, MapReduce cannot perform relational operations.
E. No, but it can be done with either Pig or Hive.
Answer: A

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NO.8 You need to move a file titled “weblogs” into HDFS. When you try to copy the file, you can’t.
You
know you have ample space on your DataNodes. Which action should you take to relieve this
situation and store more files in HDFS?
A. Increase the block size on all current files in HDFS.
B. Increase the block size on your remaining files.
C. Decrease the block size on your remaining files.
D. Increase the amount of memory for the NameNode.
E. Increase the number of disks (or size) for the NameNode.
F. Decrease the block size on all current files in HDFS.
Answer: C

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10. Indentify which best defines a SequenceFile?
A. A SequenceFile contains a binary encoding of an arbitrary number of homogeneous Writable
objects
B. A SequenceFile contains a binary encoding of an arbitrary number of heterogeneous Writable
objects
C. A SequenceFile contains a binary encoding of an arbitrary number of WritableComparable
objects, in sorted order.
D. A SequenceFile contains a binary encoding of an arbitrary number key-value pairs. Each key
must be the same type. Each value must be the same type.
Answer: D

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NO.9 MapReduce v2 (MRv2 /YARN) splits which major functions of the JobTracker into separate
daemons? Select two.
A. Heath states checks (heartbeats)
B. Resource management
C. Job scheduling/monitoring
D. Job coordination between the ResourceManager and NodeManager
E. Launching tasks
F. Managing file system metadata
G. MapReduce metric reporting
H. Managing tasks
Answer: B,D

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