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Cloudera Certified Administrator for Apache Hadoop CDH4 Upgrade Exam (CCAH) Sample Questions:

1. Which of the following scenarios makes HDFS unavailable?

A) Secondary NameNode failure
B) JobTracker failure
C) NameNode failure
D) TaskTracker failure
E) DataNode failure

2. What's the relationship between JobTrackers and TaskTrackers?

A) Every node in the cluster runs both a JobTracker and a TaskTracker. The JobTrackers manage jobs, and the TaskTrackers are responsible for managing actual map and reduce tasks.
B) The JobTracker runs on a single master node and accepts MapReduce jobs from clients. A TaskTracker runs on every slave node and is responsible for managing actual map and reduce tasks.
C) The JobTracker runs on a single master node, but forks a separate instance of itself for every client MapReduce job. A TaskTracker runs on every slave node and is responsible for managing actual map and reduce tasks.
D) The TaskTrackers runs on a single master node and accepts MapReduce jobs from clients. A JobTracker runs on every slave node and is responsible for managing map and reduce tasks.

3. You are running a Hadoop cluster with NameNode on host mynamenode, a secondary NameNode on host mysecondary and DataNodes.
Which best describes how you determine when the last checkpoint happened?

A) Connect to the web UI of the NameNode (http://mynamenode:50070/) and look at the "Last Checkpoint" information
B) Execute hdfs dfsadmin -saveNameSpace 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://mysecondarynamenode:50090) and look at the "Last Checkpoint" information
D) Execute hdfs dfsadmin -report on the command line in and look at the Last Checkpoint information.

4. Under which scenario would it be most appropriate to consider using faster (e.g 10 Gigabit) Ethernet as the network fabric for your Hadoop cluster?

A) When the typical workloads consumes a large amount of input data, relative to the entire capacity of HDFS.
B) When the typical workloads generates a large amount of output data, significantly larger than the amount of intermediate data.
C) When the typical workloads generates a large amount of intermediate data, on the order of the input data itself.
D) When the typical workloads consists of processor-intensive tasks.

5. Where does a MapReduce job store the intermediate data output from Mappers?

A) On the underlying filesystem of the local disk of the machine on which the Mapper ran.
B) Stores on the underlying filesystem of the local disk of the machine on which the Reducer.
C) On the underlying filesystem of the local disk machine on which the JobTracker ran.
D) In HDFS, in temporary directory defined mapred.tmp.dir.
E) In HDFS, in the job's output directory.

Solutions: