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Cloudera Certified Developer for Apache Hadoop Sample Questions:

1. What types of algorithms are difficult to express MapReduce?

A) Large-scale graph algorithms that require one-step link traversal.
B) Algorithms that requite global, shared state.
C) Algorithms that require applying the same mathematical function to large numbers of individual binary records.
D) Text analysis algorithms on large collections of unstructured text (e.g., Web crawls).
E) Relational operations on large amounts of structured and semi structured data.

2. Which of the following best describes the map method input and output?

A) It accepts a single key-value pair as input and can emit only one key-value pair as output.
B) It accepts a single key-value pair as input and emits a single key and list of corresponding values as output
C) It accepts a list of key-value pairs as input hut run emit only one key value pair as output.
D) It accepts a single key-value pair as input and can emit any number of key-value pairs as output, including zero.

3. How does the NameNode detect that a DataNode has failed?

A) When HDFS starts up, the NameNode tries to communicate with the DataNode and considers the DataNode as failed if it does not respond.
B) When the NameNode fails to receive periodic heartbeats from the DataNode, it considers the DataNode as failed.
C) The NameNode periodically pings the datanode. If the DataNode does not respond, the NameNode considers the DataNode as failed.
D) The NameNode does not need to know that a DataNode has failed.

4. To process input key-value pairs, your mapper needs to load a 512 MB data file in memory. What is the best way to accomplish this?

A) Place the data file in theDistributedCacheand read the data into memory in the map method of the mapper.
B) Serialize the data file, insert it in the Jobconf object, and read the data into memory in the configure method of the mapper.
C) Place the datafile in the DataCache and read the data into memory in the configure method ofthe mapper.
D) Place the data file in theDistributedCacheand read the data into memory in the configure method of the mapper.

5. 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) Sqoop
B) Flume
C) Oozie
D) Hadoop Streaming

Solutions: