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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: 2014-01-01

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NO.1 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.2 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.3 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.4 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.5 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.6 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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NO.7 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.8 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.9 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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Exam Code: CCA-410
Exam Name: Cloudera (Cloudera Certified Administrator for Apache Hadoop CDH4)
One year free update, No help, Full refund!
Total Q&A: 97 Questions and Answers
Last Update: 2013-12-09

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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 How does HDFS Federation help HDFS Scale horizontally?
A. HDFS Federation improves the resiliency of HDFS in the face of network issues by removing the
NameNode as a single-point-of-failure.
B. HDFS Federation allows the Standby NameNode to automatically resume the services of an active
NameNode.
C. HDFS Federation provides cross-data center (non-local) support for HDFS, allowing a cluster
administrator to split the Block Storage outside the local cluster.
D. HDFS Federation reduces the load on any single NameNode by using the multiple, independent
NameNode to manage individual pars of the filesystem namespace.
Answer: D

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NO.3 Which two updates occur when a client application opens a stream to begin a file write on a
cluster running MapReduce v1 (MRv1)?
A. Once the write stream closes on the DataNode, the DataNode immediately initiates a black
report to the NameNode.
B. The change is written to the NameNode disk.
C. The metadata in the RAM on the NameNode is flushed to disk.
D. The metadata in RAM on the NameNode is flushed disk.
E. The metadata in RAM on the NameNode is updated.
F. The change is written to the edits file.
Answer: E,F

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NO.4 What action occurs automatically on a cluster when a DataNode is marked as dead?
A. The NameNode forces re-replication of all the blocks which were stored on the dead DataNode.
B. The next time a client submits job that requires blocks from the dead DataNode, the JobTracker
receives no heart beats from the DataNode. The JobTracker tells the NameNode that the DataNode
is dead, which triggers block re-replication on the cluster.
C. The replication factor of the files which had blocks stored on the dead DataNode is temporarily
reduced, until the dead DataNode is recovered and returned to the cluster.
D. The NameNode informs the client which write the blocks that are no longer available; the client
then re-writes the blocks to a different DataNode.
Answer: A

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NO.5 For a MapReduce job, on a cluster running MapReduce v1 (MRv1), what's the relationship
between tasks and task templates?
A. There are always at least as many task attempts as there are tasks.
B. There are always at most as many tasks attempts as there are tasks.
C. There are always exactly as many task attempts as there are tasks.
D. The developer sets the number of task attempts on job submission.
Answer: A

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NO.6 Choose which best describe a Hadoop cluster's block size storage parameters once you set the
HDFS default block size to 64MB?
A. The block size of files in the cluster can be determined as the block is written.
B. The block size of files in the Cluster will all be multiples of 64MB.
C. The block size of files in the duster will all at least be 64MB.
D. The block size of files in the cluster will all be the exactly 64MB.
Answer: D

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NO.7 Which three distcp features can you utilize on a Hadoop cluster?
A. Use distcp to copy files only between two clusters or more. You cannot use distcp to copy data
between directories inside the same cluster.
B. Use distcp to copy HBase table files.
C. Use distcp to copy physical blocks from the source to the target destination in your cluster.
D. Use distcp to copy data between directories inside the same cluster.
E. Use distcp to run an internal MapReduce job to copy files.
Answer: B,D,E

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Exam Name: Cloudera (Cloudera Certified Developer for Apache Hadoop (CCDH))
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Total Q&A: 60 Questions and Answers
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NO.1 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.2 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.3 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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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 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.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 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.8 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.9 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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