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Cloudera Certified Developer for Apache Hadoop Sample Questions:

1. For each intermediate key, each reducer task can emit:

A) One final key value pair per key; no restrictions on the type.
B) As many final key-value pairs as desired, as long as all the keys have the same type and all the values have the same type.
C) As many final key-value pairs as desired, but they must have the same type as the intermediate key-value pairs.
D) One final key-value pair per value associated with the key; no restrictions on the type.
E) As many final key value pairs as desired. There are no restrictions on the types of those key-value pairs (i.e., they can be heterogeneous)

2. 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 as soon as the intermediate key-value pairs start to arrive.
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) 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.
D) 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.

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

4. You need to create a GUI application to help your company's sales people add and edit customer information. Would HDFS be appropriate for this customer information file?

A) No, because HDFS can only be accessed by MapReduce applications.
B) No, because HDFS is optimized for write-once, streaming access for relatively large files.
C) Yes, because HDFS is optimized for random access writes.
D) Yes, because HDFS is optimized for fast retrieval of relatively small amounts of data.

5. You need a distributed, scalable, data Store that allows you random, realtime read/write access to hundreds of terabytes of data. Which of the following would you use?

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

Solutions: