Cloudera Certified Administrator for Apache Hadoop CDH4 - CCA-410 Exam Practice Test

A. Reduce the job latencies in environment with multiple jobs of different sizes B. Run jobs at periodic times of the day C. Reduce the total amount of computation necessary to complete a job. D. support the implementation of service-level agreements for multiple cluster users E. Allow multiple users to share clusters in a predictable policy-guided manner F. Ensure data locality by ordering map tasks so that they run on data local maps slots G. allow short jobs to complete even when large, long jobs (consuming a lot of resources are running)

A. You must restart all six DataNode daemons to apply the changes to the cluster. B. You must modify the configuration files on only one of the DataNode machine C. You must restart the NameNode daemon to apply the changes to the cluster D. You must modify the configuration files on the NameNode only. DataNodes read their configuration from the master nodes. E. You must modify the configuration files on each of the six DataNode machines. F. You don't need to restart any daemon, as they will pick up changes automatically.

A. Fsck B. Hadoop does not provide any tools to discover missing or corrupt data; there is no need because three replicas are kept for each data block. C. The map-only checksum utility, D. Dskchk E. Du

A. An edit log of changes that have been made since the last snapshot compaction by the Secondary NameNode. B. An edit log of changes that have been made since the last snapshot of the NameNode. C. Names of the files in HDFS. D. The status of the heartbeats of each DataNode. E. The directory structure of the files in HDFS. F. A catalog of DataNodes and the blocks that are stored on them. G. File permissions of the files in HDFS.

A. Jobtracker B. standby namenode C. Namenode, standby namenode and jobtracker D. Namenode E. On each datanode F. Namenode and standby namenode G. standby namenode, jobtracker, resourcemanager

A. You browse the /logs directly in HDFS where all jobs log files as store B. You browse the currect working directory of the client machine from which You submitted the job C. You remotely log in to any slave node in the cluster to browse your jobs log files in/var/log/hadoop/archive directly D. You connect to the job tracker web UI and locate the details for your job this will include long messages

A. Creates users for hdfs and mapreduce to facilitate role assignment. B. Creates and configures you kdc with default cluster values. C. Automatically configure permissions for log files at $MAPPED_LOG_DIR/userlogs D. Creates directories for temp, hdfs, and mapreduce with correct permissions. E. Creates a set of pre-configured Kerberos keytab files and their permissions.

A. The job immediately fails B. The tasktracker closes the JVM instance and restarts C. the jobtracket attempts to re-run the task on a different node D. The jobtracker attempts to re-run the task on the same node

A. Isolating a failed NameNode from write access to the fsimage and edits files so that is cannot resume write operations if it recovers. B. Isolating the standby NameNode from write access to the fsimage and edits files. C. Isolating both HA NameNodes to prevent a client application from killing the NameNode daemons. D. Isolating the cluster's master daemon to limit write access only to authorized clients.

A. Half the number of the maximum number of Reduce tasks which can run on the cluster as a whole. B. The same value on each slave node. C. The maximum number of Map tasks which can run on the cluster as a whole. D. The maximum number of Map tasks can run simultaneously on an individual node. E. Half the number of the maximum number of Reduce tasks which can run simultaneously on an individual node.