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Cloudera Certified Administrator for Apache Hadoop CDH4 Sample Questions:

1. When planning a hadoop cluster, what general rule governs the hardware requirements between master nodes and slave nodes?

A) The master and slave nodes should have the same hardware configuration
B) The master nodes requires more memory and no disk drives
C) the master nodes requires less memory and fewer number disk drives than the slave nodes
D) The master nodes requires more memory but less disk capacity
E) The master nodes require more memory and greater disk capacity then the slave nodes

2. You are planning a Hadoop duster, and you expect to be receiving just under 1TB of data per week which will be stored on the cluster, using Hadoop's default replication. You decide that your slave nodes will be configured with 4 x 1TB disks.
Calculate how many slave nodes you need to deploy at a minimum to store one year's worth of data.

A) 100 slave nodes
B) 100 slave nodes
C) 50 slave nodes
D) 10 slave nodes

3. You configure you cluster with HDFS High Availability (HA) using Quorum-Based storage. You do
not implement HDFS Federation.
What is the maximum number of NameNodes daemon you should run on you cluster in order to avoid a "split-brain" scenario with your NameNodes?

A) Unlimited. HDFS High Availability (HA) is designed to overcome limitations on the number of NameNodes you can deploy.
B) Two active NameNodes and two Standby NameNodes
C) One active NameNode and one Standby NameNode
D) Two active NameNodes and one Standby NameNode

4. Your cluster is running Map v1 (MRv1), with default replication set to 3, and a cluster blocks 64MB. Identify which best describes the file read process when a Client application connects into the cluster and requests a 50MB file?

A) The client queries the NameNode and then retrieves the block from the nearest DataNode to the client and then passes that block back to the client.
B) The client queries the NameNode for the locations of the block, and reads all three copies. The first copy to complete transfer to the client is the one the client reads as part of Hadoop's execution framework.
C) The client queries the NameNode for the locations of the block, and reads from the first location in the list of receives.
D) The client queries the NameNode for the locations of the block, and reads from a random location in the list it receives to eliminate network I/O loads by balancing which nodes it retrieves data from at any given time.

5. In the execution of a MapReduce job, where does the mapper place the intermediate data in each map task?

A) The mapper transfer the intermediate data immediately to the reducers as it is generated by map task.
B) The mapper transfers the intermediate data to the jobtracker, which then sends it to the reducers
C) The mapper stores the intermediate data on the underlying filesystem of the local disk of the machine which ran the map task
D) The hadoop framework holds the intermediate data in the task trackers memory until it is transferred to the reducers

Solutions: