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Question No : 1
Question No : 2
A. For a 1GB child heap size an io.sort.mb of 128 MB will always maximize memory to disk I/O
B. Increase the io.sort.mb to 1GB
C. Decrease the io.sort.mb value to 0
D. Tune the io.sort.mb value until you observe that the number of spilled records equals (or is as close to equals) the number of map output records.
Question No : 3
A. Delete the /dev/vmswap file on the node
B. Delete the /etc/swap file on the node
C. Set the ram.swap parameter to 0 in core-site.xml
D. Set vm.swapfile file on the node
E. Delete the /swapfile file on the node
Question No : 4
Which best describes how you determine when the last checkpoint happened?
A. Execute hdfs namenode ¨Creport on the command line and look at the Last Checkpoint information
B. Execute hdfs dfsadmin ¨CsaveNamespace on the command line which returns to you the last checkpoint value in fstime file
C. Connect to the web UI of the Secondary NameNode (http://mysecondary:50090/) and look at the ¡°Last Checkpoint¡± information
D. Connect to the web UI of the NameNode (http://mynamenode:50070) and look at the ¡°Last Checkpoint¡± information
Question No : 5
A. Cached by the NodeManager managing the job containers, then written to a log directory on the NameNode
B. Cached in the YARN container running the task, then copied into HDFS on job completion
C. In HDFS, in the directory of the user who generates the job
D. On the local disk of the slave mode running the task
Question No : 6
A. Stored as metadata on the NameNode
B. Stored along with the data in HDFS
C. Stored in the Metadata
D. Stored in ZooKeeper
Question No : 7
A. Automatically configures permissions for log files at &MAPRED_LOG_DIR/userlogs
B. Creates users for hdfs and mapreduce to facilitate role assignment
C. Creates directories for temp, hdfs, and mapreduce with the correct permissions
D. Creates a set of pre-configured Kerberos keytab files and their permissions
E. Creates and configures your kdc with default cluster values
Question No : 8
A. Sample the web server logs web servers and copy them into HDFS using curl
B. Ingest the server web logs into HDFS using Flume
C. Channel these clickstreams into Hadoop using Hadoop Streaming
D. Import all user clicks from your OLTP databases into Hadoop using Sqoop
E. Write a MapReeeduce job with the web servers for mappers and the Hadoop cluster nodes for reducers
Question No : 9
A. Two active NameNodes and two Standby NameNodes
B. One active NameNode and one Standby NameNode
C. Two active NameNodes and on Standby NameNode
D. Unlimited. HDFS High Availability (HA) is designed to overcome limitations on the number of NameNodes you can deploy
Question No : 10
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 B can gets scheduled.
C. When Job A gets submitted, it doesn¡¯t consumes all the task slots.
D. When Job A gets submitted, it consumes all the task slots.
Question No : 11
And any cluster¡¯s yarn-site.xml includes the following parameters
What is the maximum amount of virtual memory allocated for each map task before YARN will kill its Container?
A. 4 GB
B. 17.2 GB
D. 8.2 GB
E. 24.6 GB
Question No : 12
You want YARN to launch no more than 16 containers per node. What should you do?
A. Modify yarn-site.xml with the following property:
B. Modify yarn-sites.xml with the following property:
C. Modify yarn-site.xml with the following property:
D. No action is needed: YARN¡¯s dynamic resource allocation automatically optimizes the node memory and cores