Cloudera CCD-333 : Cloudera Certified Developer for Apache Hadoop

CCD-333 real exams

Exam Code: CCD-333

Exam Name: Cloudera Certified Developer for Apache Hadoop

Updated: Sep 18, 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
- Apache Pig and data flow scripting
- Oozie workflow scheduling
Topic 2: Best Practices and Optimization15%- Scalability and fault tolerance
- Performance tuning
- Debugging and error handling
Topic 3: Hadoop Architecture and HDFS25%- HDFS components and design
- Data access, replication, and consistency
- HDFS API usage
Topic 4: MapReduce Design and Development35%- Mappers, reducers, combiners, partitioners
- Input/output formats and data serialization
- MapReduce workflow and execution
- Job configuration and optimization

Cloudera Certified Developer for Apache Hadoop Sample Questions:

Question #1

Which of the following best describes the workings of TextInputFormat?

  • A. Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReader of the split that contains the end of the broken line.
  • B. Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReader of the split that contains the beginning of the broken line.
  • C. The input file is split exactly at the line breaks, so each Record Reader will read a series of complete lines.
  • D. Input file splits may cross line breaks. A line that crosses tile splits is ignored.
  • E. Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReaders of both splits containing the broken line.
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Correct Answer: A  🗳️

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Question #2

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

  • A. 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.
  • B. 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.
  • C. 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.
  • D. 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.
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Correct Answer: B  🗳️

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Question #3

You have an employee who is a Date Analyst and is very comfortable with SQL. He would like to run ad-hoc analysis on data in your HDFS duster. Which of the following is a data warehousing software built on top of Apache Hadoop that defines a simple SQL-like query language well-suited for this kind of user?

  • A. Hue
  • B. Hive
  • C. Flume
  • D. Sqoop
  • E. Hadoop Streaming
  • F. Oozie
  • G. Pig
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Correct Answer: B  🗳️

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Question #4

You are running a job that will process a single InputSplit on a cluster which has no other jobs currently running. Each node has an equal number of open Map slots. On which node will Hadoop first attempt to run the Map task?

  • A. The node with the most free local disk space
  • B. The node with the most memory
  • C. The node on which this InputSplit is stored
  • D. The node with the lowest system load
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Correct Answer: C  🗳️

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Question #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 5 TB
  • C. about 10 TB
  • D. about 11 TB
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Correct Answer: A  🗳️

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