Cloudera CCD-333 dumps - in .pdf

CCD-333 pdf
  • Exam Code: CCD-333
  • Exam Name: Cloudera Certified Developer for Apache Hadoop
  • Updated: Sep 16, 2026
  • Q & A: 60 Questions and Answers
  • PDF Price: $59.99
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  • Exam Code: CCD-333
  • Exam Name: Cloudera Certified Developer for Apache Hadoop
  • Updated: Sep 16, 2026
  • Q & A: 60 Questions and Answers
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  • Exam Code: CCD-333
  • Exam Name: Cloudera Certified Developer for Apache Hadoop
  • Updated: Sep 16, 2026
  • Q & A: 60 Questions and Answers
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Cloudera CCD-333 Exam Syllabus Topics:

SectionObjectives
Data Processing with Hadoop Ecosystem- Pig Latin scripting basics
- Hive query language and data warehousing
Data Analysis and Optimization- Query optimization in Hive
- Performance tuning in MapReduce jobs
Hadoop Cluster Operations- Cluster configuration and management basics
- Resource management with YARN
Hadoop Fundamentals- MapReduce programming model
- HDFS architecture and data storage concepts
Data Ingestion and Workflow- Flume data ingestion concepts
- Sqoop data import/export

Cloudera Certified Developer for Apache Hadoop Sample Questions:

Question #1

What is the difference between a failed task attempt and a killed task attempt?

  • A. A failed task attempt is a task attempt that threw an unhandled exception. A killed task attempt is one that was terminated by the JobTracker.
  • B. A failed task attempt is a task attempt that did not generate any key value pairs. A killed task attempt is a task attempt that threw an exception, and thus killed by the execution framework.
  • C. A failed task attempt is a task attempt that threw a RuntimeException (i.e., the task fails). A killed task attempt is a task attempt that threw any other type of exception (e.g., IOException); the execution framework catches these exceptions and reports them as killed.
  • D. A failed task attempt is a task attempt that completed, but with an unexpected status value. A killed task attempt is a duplicate copy of a task attempt that was started as part of speculative execution.
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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Question #2

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 can emit any number of key-value pairs as output, including zero.
  • C. It accepts a list of key-value pairs as input hut run emit only one key value pair as output.
  • D. It accepts a single key-value pair as input and emits a single key and list of corresponding values as output
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #3

Given a Mapper, Reducer, and Driver class packaged into a jar, which is the correct way of submitting the job to the cluster?

  • A. jar MyJar.jar
  • B. hadoop jar class MyJar.jar MyDriverClass inputdir outputdir
  • C. hadoop jar MyJar.jar MyDriverClass inputdir outputdir
  • D. jar MyJar.jar MyDriverClass inputdir outputdir
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Question #4

In the standard word count MapReduce algorithm, why might using a combiner reduce the overall Job running time?

  • A. Because combiners perform local aggregation of word counts, thereby reducing the number of key-value pairs that need to be snuff let across the network to the reducers.
  • B. Because combiners perform local aggregation of word counts, thereby reducing the number of mappers that need to run.
  • C. Because combiners perform local aggregation of word counts, and then transfer that data to reducers without writing the intermediate data to disk.
  • D. Because combiners perform local aggregation of word counts, thereby allowing the mappers to process input data faster.
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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Question #5

All keys used for intermediate output from mappers must do which of the following:

  • A. Be a subclass of Filelnput-Format
  • B. Use a comparator for speedy sorting
  • C. Be compressed using a splittable compression algorithm.
  • D. Override isSplitable
  • E. Implement WritableComparable
Reveal Solution  Discussion  0

Correct Answer: E  🗳️

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