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Cloudera Certified Developer for Apache Hadoop Sample Questions:
1. Combiners Increase the efficiency of a MapReduce program because:
A) They aggregate intermediate map output locally on each individual machine and therefore reduce the amount of data that needs to be shuffled across the network to the reducers.
B) They provide an optimization and reduce the total number of computations that are needed to execute an algorithm by a factor of n, where is the number of reducer.
C) They provide a mechanism for different mappers to communicate with each Other, thereby reducing synchronization overhead.
D) They aggregate intermediate map output horn a small number of nearby (i.e., rack-local) machines and therefore reduce the amount of data that needs to be shuffled across the network to the reducers.
2. Which of the following describes how a client reads a file from HDFS?
A) 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).
B) 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.
C) 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.
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.
3. MapReduce is well-suited for all of the following applications EXCEPT? (Choose one):
A) Text mining on a large collections of unstructured documents.
B) Online transaction processing (OLTP) for an e-commerce Website.
C) Analysis of large amounts of Web logs (queries, clicks, etc.).
D) Graph mining on a large social network (e.g., Facebook friends network).
4. Which of the following utilities allows you to create and run MapReduce jobs with any executable or script as the mapper and/or the reducer?
A) Hadoop Streaming
B) Oozie
C) Flume
D) Sqoop
5. Workflows expressed in Oozie can contain:
A) Sequences of MapReduce and Pig jobs. These are limited to linear sequences of actions with exception handlers but no forks.
B) Sequences of MapReduce and Pig. These sequences can be combined with other actions including forks, decision points, and path joins.
C) Iterative repetition of MapReduce jobs until a desired answer or state is reached.
D) Sequences of MapReduce jobs only; no Pig or Hive tasks or jobs. These MapReduce sequences can be combined with forks and path joins.
Solutions:
Question # 1 Answer: A | Question # 2 Answer: D | Question # 3 Answer: B | Question # 4 Answer: A | Question # 5 Answer: B |