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Cloudera Certified Developer for Apache Hadoop Sample Questions:

1. When is the reduce method first called in a MapReduce job?

A) Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed. The reduce method is called only after all intermediate data has been copied and sorted.
B) Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed. The programmer can configure in the job what percentage of the intermediate data should arrive before the reduce method begins.
C) Reduce methods and map methods all start at the beginning of a job, in order to provide optimal performance for map-only or reduce-only jobs.
D) Reducers start copying intermediate key value pairs from each Mapper as soon as it has completed. The reduce method is called as soon as the intermediate key-value pairs start to arrive.

2. What happens in a MapReduce job when you set the number of reducers to one?

A) A single reducer gathers and processes all the output from all the mappers. The output is written in as many separate files as there are mappers.
B) Setting the number of reducers to one is invalid, and an exception is thrown.
C) Setting the number of reducers to one creates a processing bottleneck, and since the number of reducers as specified by the programmer is used as a reference value only, the MapReduce runtime provides a default setting for the number of reducers.
D) A single reducer gathers and processes all the output from all the mappers. The output is written to a single file in HDFS.

3. Your Custer's HOFS block size is 64MB. You have a directory containing 100 plain text files, each of which Is 100MB in size. The InputFormat for your job is TextInputFormat. How many Mappers will run?

A) 200
B) 100
C) 64
D) 640

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

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

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

Solutions: