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Cloudera Certified Developer for Apache Hadoop Sample Questions:

1. In the standard word count MapReduce algorithm, why might using a combiner reduce the overall Job running time?

A) Because combiners perform local aggregation of word counts, thereby reducing the number of key-value pairs that need to be snuff let across the network to the reducers.
B) Because combiners perform local aggregation of word counts, thereby reducing the number of mappers that need to run.
C) Because combiners perform local aggregation of word counts, thereby allowing the mappers to process input data faster.
D) Because combiners perform local aggregation of word counts, and then transfer that data to reducers without writing the intermediate data to disk.

2. What is the difference between a failed task attempt and a killed task attempt?

A) A failed task attempt is a task attempt that completed, but with an unexpected status value. A killed task attempt is a duplicate copy of a task attempt that was started as part of speculative execution.
B) A failed task attempt is a task attempt that threw a RuntimeException (i.e., the task fails). A killed task attempt is a task attempt that threw any other type of exception (e.g., IOException); the execution framework catches these exceptions and reports them as killed.
C) A failed task attempt is a task attempt that threw an unhandled exception. A killed task attempt is one that was terminated by the JobTracker.
D) A failed task attempt is a task attempt that did not generate any key value pairs. A killed task attempt is a task attempt that threw an exception, and thus killed by the execution framework.

3. What is the behavior of the default partitioner?

A) The default partitioner computes the hash of the key. Hash values between specific ranges are associated with different buckets, and each bucket is assigned to a specific reducer.
B) The default partitioner implements a round robin strategy, shuffling the key value pairs to each reducer in turn. This ensures an even partition of the key space.
C) The default partitioner computes the hash of the key and divides that value modulo the number of reducers. The result determines the reducer assigned to process the key-value pair.
D) The default partitioner assigns key value pairs to reducers based on an internal random number generator.
E) The default partitioner computes the hash of the value and takes the mod of that value with the number of reducers. The result determines the reducer assigned to process the key value pair.

4. You have an employee who is a Date Analyst and is very comfortable with SQL. He would like to run ad-hoc analysis on data in your HDFS duster. Which of the following is a data warehousing software built on top of Apache Hadoop that defines a simple SQL-like query language well-suited for this kind of user?

A) Hue
B) Pig
C) Hive
D) Flume
E) Sqoop
F) Hadoop Streaming
G) Oozie

5. 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 does not need to know that a DataNode has failed.
D) The NameNode periodically pings the datanode. If the DataNode does not respond, the NameNode considers the DataNode as failed.

Solutions: