Cloudera Certified Developer for Apache Hadoop : CCD-333

CCD-333 real exams

Exam Code: CCD-333

Exam Name: Cloudera Certified Developer for Apache Hadoop

Updated: Sep 08, 2026

Q & A: 60 Questions and Answers

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Cloudera CCD-333 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Hadoop Ecosystem Tools25%- Sqoop and Flume for data ingestion
- Apache Hive and data warehousing
- Oozie workflow scheduling
- Apache Pig and data flow scripting
Topic 2: Best Practices and Optimization15%- Debugging and error handling
- Scalability and fault tolerance
- Performance tuning
Topic 3: MapReduce Design and Development35%- Input/output formats and data serialization
- Job configuration and optimization
- MapReduce workflow and execution
- Mappers, reducers, combiners, partitioners
Topic 4: Hadoop Architecture and HDFS25%- HDFS API usage
- Data access, replication, and consistency
- HDFS components and design

Cloudera Certified Developer for Apache Hadoop Sample Questions:

Question 1

Which of the following utilities allows you to create and run MapReduce jobs with any executable or script as the mapper and/or the reducer?

A. Sqoop
B. Flume
C. Hadoop Streaming
D. Oozie


Question 2

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 m files, each with exactly k/m key value pairs.
B. There will be m files, each with approximately k/m key-value pairs.
C. There will be r files, each with approximately k/m key-value pairs.
D. There will be r files, each with approximately k/r key-value pairs.
E. There will be r files, each with exactly k/r key-value pairs.


Question 3

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


Question 4

Which happens if the NameNode crashes?

A. HDFS becomes temporarily unavailable until an administrator starts redirecting client requests to the Secondary NameNode.
B. HDFS becomes unavailable to new MapReduce jobs, but running jobs will continue until completion.
C. HDFS becomes unavailable until the NameNode is restored.
D. The Secondary NameNode seamlessly takes over and there is no service interruption.


Question 5

Which of the following best describes the map method input and output?

A. It accepts a list of key-value pairs as input hut run emit only one key value pair as output.
B. It accepts a single key-value pair as input and can 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


Solutions:

Question 1
Answer: C
Question 2
Answer: E
Question 3
Answer: D
Question 4
Answer: C
Question 5
Answer: C

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