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Cloudera Certified Administrator for Apache Hadoop CDH4 Sample Questions:

1. Your company stores user profile records in an OLTP database. You want to join these records with webserver logs. You have already ingested into the hadoop file system. What is the best way to obtain and ingest these user records?

A) Ingest with Pig's Load Command
B) Ingest with flume agents
C) Ingest using the HDFS put command
D) Ingest using hives LOAD DATA command
E) Ingest with hadoop streaming
F) Ingest with SQL import

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

3. Which two updates occur when a client application opens a stream to begin a file write on a cluster running MapReduce v1 (MRv1)?

A) The change is written to the NameNode disk.
B) The metadata in RAM on the NameNode is flushed disk.
C) The metadata in RAM on the NameNode is updated.
D) The metadata in the RAM on the NameNode is flushed to disk.
E) The change is written to the edits file.
F) Once the write stream closes on the DataNode, the DataNode immediately initiates a black report to the NameNode.

4. How does the NameNode know DataNodes are available on a cluster running MapReduce v1 (MRv1)

A) The NameNode send a broadcast across the network when it first starts, and DataNodes
respond.
B) The NameNode broadcasts a heartbeat on the network on a regular basis, and DataNodes respond.
C) DataNodes listed in the dfs.hosts file. The NameNode uses as the definitive list of available DataNodes.
D) DataNodes heartbeat in the master on a regular basis.

5. On a cluster running MapReduce v1 (MRv1), the value of the mapred.tasktracker.map.tasks.maximum configuration parameter in the mapred-site.xml file should be set to:

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

Solutions: