Cloudera CCD-333 Valid Test : Cloudera Certified Developer for Apache Hadoop

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Cloudera CCD-333 Exam Syllabus Topics:

Cloudera Certified Developer for Apache Hadoop Sample Questions:

1. In a MapReduce job with 500 map tasks, how many map task attempts will there be?

A) Between 500 and 1000.
B) It depends on the number of reducers in the job.
C) Exactly 500.
D) At least 500.
E) At most 500.

2. 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 11 TB
C) about 10 TB
D) about 5 TB

3. In a MapReduce job, you want each of you input files processed by a single map task. How do you configure a MapReduce job so that a single map task processes each input file regardless of how many blocks the input file occupies?

A) Write a custom MapRunner that iterates over all key-value pairs in the entire file.
B) Set the number of mappers equal to the number of input files you want to process.
C) Increase the parameter that controls minimum split size in the job configuration.
D) Write a custom FileInputFormat and override the method isSplittable to always return false.

4. Given a directory of files with the following structure: line number, tab character, string:
Example:
1.abialkjfjkaoasdfjksdlkjhqweroij
2.kadf jhuwqounahagtnbvaswslmnbfgy
3.kjfteiomndscxeqalkzhtopedkfslkj
You want to send each line as one record to your Mapper. Which InputFormat would you use to complete the line: setInputFormat (________.class);

A) KeyValueTextInputFormat
B) SequenceFileInputFormat
C) SequenceFileAsTextInputFormat
D) BDBInputFormat

5. You need to create a job that does frequency analysis on input data. You will do this by writing a Mapper that uses TextInputForma and splits each value (a line of text from an input file) into individual characters. For each one of these characters, you will emit the character as a key and as IntWritable as the value. Since this will produce proportionally more intermediate data than input data, which resources could you expect to be likely bottlenecks?

A) Disk I/O and network I/O
B) Processor and network I/O
C) Processor and disk I/O
D) Processor and RAM

Solutions: