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

1. You configure Hadoop cluster with both MapReduce frameworks, MapReduce v1 (MRv1) and MapReduce v2 (MRv2/YARN). Which two MapReduce (computational) daemons do you need to configure to run on your master nodes?

A) NodeManager
B) ResourceManager
C) JournalNode
D) JobTracker
E) ApplicationMaster

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

3. 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) 50 slave nodes
B) 100 slave nodes
C) 100 slave nodes
D) 10 slave nodes

4. Your Hadoop cluster has 12 slave nodes, a block size set to 64MB, and a replication factor of three.
Choose which best describes how the Hadoop Framework distributes block writes into HDFS from a Reducer outputting a 150MB file?

A) Reducers don't write blocks into HDFS
B) The Reducer will generate twelve blocks and write them to slave nodes nearest the node on which the Reducer runs.
C) The slave node on which the Reducer runs gets the first copy of every block written. Other block replicas will be placed on other nodes.
D) The Reducer will generate nine blocks and write them randomly to nodes throughout the cluster.

5. Which of the following statements arc accurate in describing features of Hadoop rack awareness? (Choose 2)

A) Even for small clusters on a single rack, configuring rack awareness will improve performance.
B) Hadoop gives preference to intra-rack data transfer In order to conserve bandwidth.
C) Rack location is considered in the HDFS block placement policy.
D) Configuration of rack awareness is accomplished using a configuration file. You cannot use a rack topology script.
E) HDFS is rack aware but MapReduce daemons are not.

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