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Cloudera CCD-333 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Hadoop Fundamentals | - HDFS architecture and data storage concepts - MapReduce programming model |
| Hadoop Cluster Operations | - Cluster configuration and management basics - Resource management with YARN |
| Data Ingestion and Workflow | - Sqoop data import/export - Flume data ingestion concepts |
| Data Processing with Hadoop Ecosystem | - Hive query language and data warehousing - Pig Latin scripting basics |
| Data Analysis and Optimization | - Performance tuning in MapReduce jobs - Query optimization in Hive |
Cloudera Certified Developer for Apache Hadoop Sample Questions:
Question 1
Given a Mapper, Reducer, and Driver class packaged into a jar, which is the correct way of submitting the job to the cluster?
A. hadoop jar class MyJar.jar MyDriverClass inputdir outputdir
B. hadoop jar MyJar.jar MyDriverClass inputdir outputdir
C. jar MyJar.jar MyDriverClass inputdir outputdir
D. jar MyJar.jar
Question 2
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. BDBInputFormat
C. SequenceFileInputFormat
D. SequenceFileAsTextInputFormat
Question 3
If you run the word count MapReduce program with m mappers and r reducers, how many output files will you get at the end of the job? And how many key-value pairs will there be in each file? Assume k is the number of unique words in the input files.
A. There will be r files, each with approximately k/r key-value pairs.
B. There will be m files, each with exactly k/m key value pairs.
C. There will be r files, each with approximately k/m key-value pairs.
D. There will be m files, each with approximately k/m key-value pairs.
E. There will be r files, each with exactly k/r key-value pairs.
Question 4
Your client application submits a MapReduce job to your Hadoop cluster. The Hadoop framework looks for an available slot to schedule the MapReduce operations on which of the following Hadoop computing daemons?
A. Secondary NameNode
B. NameNode
C. TaskTracker
D. DataNode
E. JobTracker
Question 5
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 single key-value pair as input and can emit any number of key-value pairs as output, including zero.
D. It accepts a list of key-value pairs as input hut run emit only one key value pair as output.
Solutions:
| Question 1 Answer: B | Question 2 Answer: C | Question 3 Answer: E | Question 4 Answer: E | Question 5 Answer: C |






