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Cloudera Certified Developer for Apache Hadoop Sample Questions:

1. Which of the following describes how a client reads a file from HDFS?

A) The client queries all DataNodes in parallel. The DataNode that contains the requested data responds directly to the client. The client reads the data directly off the DataNode.
B) The client queries the NameNode for the block location(s). The NameNode returns the block location(s) to the client. The client reads the data directly off the DataNode(s).
C) The client contacts the NameNode for the block location(s). The NameNode contacts theDataNode that holds the requested data block. Data is transferred from the DataNode to the NameNode, and then from the NameNode to the client.
D) The client contacts the NameNode for the block location(s). The NameNode then queries the DataNodes for block locations. The DataNodes respond to the NameNode, and the NameNode redirects the client to the DataNode that holds the requested data block(s). The client then reads the data directly off the DataNode.

2. Which happens if the NameNode crashes?

A) HDFS becomes temporarily unavailable until an administrator starts redirecting client requests to the Secondary NameNode.
B) HDFS becomes unavailable until the NameNode is restored.
C) The Secondary NameNode seamlessly takes over and there is no service interruption.
D) HDFS becomes unavailable to new MapReduce jobs, but running jobs will continue until completion.

3. In a MapReduce job with 500 map tasks, how many map task attempts will there be?

A) At least 500.
B) It depends on the number of reducers in the job.
C) Exactly 500.
D) At most 500.
E) Between 500 and 1000.

4. Your cluster has 10 DataNodes, each with a single 1 TB hard drive. You utilize all your disk capacity for HDFS, reserving none for MapReduce. You implement default replication settings. What is the storage capacity of your Hadoop cluster (assuming no compression)?

A) about 11 TB
B) about 3 TB
C) about 5 TB
D) about 10 TB

5. Which statement best describes the data path of intermediate key-value pairs (i.e., output of the mappers)?

A) Intermediate key-value pairs are written to HDFS. Reducers read the intermediate data from HDFS.
B) Intermediate key-value pairs are written to the local disks of the machines running the map tasks, and then copied to the machine running the reduce tasks.
C) Intermediate key-value pairs are written to the local disks of the machines running the map tasks, and are then copied to HDFS. Reducers read the intermediate data from HDFS.
D) Intermediate key-value pairs are written to HDFS. Reducers copy the intermediate data to the local disks of the machines running the reduce tasks.

Solutions: