最新的Cloudera Certified Administrator for Apache Hadoop CDH4 - CCA-410免費考試真題

A. The 9 blocks will be return to 3 nodes, such that each of the three get's one copy of each block

B. All 9 nodes will each receive exactly one block

C. The 9 blocks will be return randomly to the nodes; some may receive multiple blocks some may receive none

D. Reducer don't write blocks into HDFS

E. The node on which the reducer is running will receive one copy of the each block. The other replicas will be placed on other nodes in the cluster

A. When job B gets submitted, it will get assigned tasks, while job A continues to run with fewer tasks.

B. When job B gets submitted, Job A has to finish first, before job it can get scheduled.

C. When job A gets submitted, it consumes all the task slot

D. When job A gets submitted, it doesn't consume all the task slot

A. Shut one NameNode down for maintenance without halting the cluster

B. Manually 'fail over' between NameNodes

C. Write data to two clusters simultaneously

D. Configure unlimited hot standby NameNode.

E. Automatically 'fail over' between NameNodes if one goes down

A. Ability to monitor the amount of free space on HDFS.

B. Ability to monitor number of files in HDFS.

C. Ability to monitor NameNode memory usage.

D. Ability to monitor processor utilization.

E. Ability to monitor free task slots.

A. The file will be split into three blocks when initially written into the cluster

B. The third block will be 64MB

C. All three blocks will be 128MB

D. The third Initial block will be 44 MB

E. Each block will be replicated three times

F. The file will consume 1152MB of space in the cluster

G. Each block will be replicated nine times

H. Two of the initial blocks will be 128MB

A. HDFS latency.

B. Standardize on a single MapReduce API.

C. Single point of failure in the NameNode.

D. Resource pressure on the JobTrackr

E. Ability to run frameworks other than MapReduce, such as MPI.

F. Reduce complexity of the MapReduce APIs.

A. a maximum of 4 reducer's, but the actual number of reducer's that run for any given job is based on the volume intermediate data.

B. Four reducer's will run. Once set by the cluster administrator, this parameter can't be overridden

C. Maximum of 4 reducers, but the actual number of reducers that run for any given job is based on the volume of input data

D. The number of reducer's for any given job is set by the developer

A. The same value on each slave node.

B. Half the number of the maximum number of Reduce tasks which can run on the cluster as a whole.

C. Half the number of the maximum number of Reduce tasks which can run simultaneously on an individual node.

D. The maximum number of Map tasks can run simultaneously on an individual node.

E. The maximum number of Map tasks which can run on the cluster as a whole.

A. 100

B. 75

C. 10

D. 25

E. 40

A. The master and slave nodes should have the same hardware configuration

B. the master nodes requires less memory and fewer number disk drives than the slave nodes

C. The master nodes requires more memory but less disk capacity

D. The master nodes requires more memory and no disk drives

E. The master nodes require more memory and greater disk capacity then the slave nodes