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Cloudera Certified Administrator for Apache Hadoop CDH4 Sample Questions:

1. Your Hadoop cluster has 25 nodes with a total of 100 TB (4 TB per node) of raw disk space allocated HDFS storage. Assuming Hadoop's default configuration, how much data will you be able to store?

A) Approximately 100TB
B) Approximately 33 TB
C) Approximately 25TB
D) Approximately 10TB

2. A client application opens a file write stream on your cluster. Which two metadata changes occur during a file write?

A) The change is written to the edits file
B) The change is written to the namenode disk
C) the metadata in Ram on the namenode is flushed to disk
D) The metadata in a Ram on the name node is updated
E) the namenode triggers a block report to update block locations in the edits file
F) the change is written to the fsimage file
G) the change is written to the secondary namenode

3. Your Hadoop cluster contains nodes in three racks. Choose which scenario results if you leave the dfs.hosts property in the NameNode's configuration file empty (blank)?

A) Any machine running the DataNode daemon can immediately join the cluster.
B) The NameNode will update dfs.hosts property to include machines running the DataNode daemon on the next NameNode reboot or with a dfsadmin -refreshNodes.
C) No new can be added to the cluster until you specify them in the dfs.hosts file.
D) Presented with a blank dfs.hosts property, the NameNode will permit DataNodes specified in mapred.hosts to join the cluster.

4. In the context of configuring a Hadoop cluster for HDFS High Availability (HA), 'fencing' refers to:

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

5. You configure your hadoop cluster with mapreduce V1 (MRv1) along with HDFS high availability (HA) Quorum-based storage. On which nodes should you configure and run your journal node daemon(s) to guarantee a quorum?

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

Solutions: