- Exam Code: CCD-333
- Exam Name: Cloudera Certified Developer for Apache Hadoop
- Updated: Oct 13, 2026
- Q & A: 60 Questions and Answers
Cloudera CCD-333 Exam : Cloudera Certified Developer for Apache Hadoop
PDF Version DemoAbout Cloudera CCD-333 Exam
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Cloudera CCD-333 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Formats and Storage | - Serialization formats
|
| Topic 2: Data Processing with MapReduce | - MapReduce programming model
|
| Topic 3: Data Processing Tools | - Hive
|
| Topic 4: Hadoop Ecosystem and Architecture | - YARN Resource Management
|
| Topic 5: Data Ingestion and Integration | - Flume
|
| Topic 6: Workflow and Scheduling | - Oozie
|
Cloudera Certified Developer for Apache Hadoop Sample Questions:
Question #1
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 emits a single key and list of corresponding values as output
- C. It accepts a single key-value pair as input and can emit only one key-value pair as output.
- D. It accepts a single key-value pair as input and can emit any number of key-value pairs as output, including zero.
Correct Answer: D 🗳️
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Question #2
When is the reduce method first called in a MapReduce job?
- A. 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.
- B. 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.
- C. 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.
- D. 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.
Correct Answer: A 🗳️
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Question #3
What is a Writable?
- A. Writable is an abstract class that all keys, but not values, in MapReduce must extend. Classes extending this abstract base class must implement methods for serializing and deserializing themselves.
- B. Writable is an interface that all keys and values in MapReduce must implement. Classes implementing this interface must implement methods for serializing and deserializing themselves.
- C. Writable is an abstract class that all keys and values in MapReduce must extend. Classes extending this abstract base class must implement methods for serializing and deserializing themselves
- D. Writable is an interface that all keys, but not values, in MapReduce must implement. Classes implementing this interface must implement methods for serializing and deserializing themselves.
Correct Answer: B 🗳️
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Question #4
What is the behavior of the default partitioner?
- A. The default partitioner computes the hash of the value and takes the mod of that value with the number of reducers. The result determines the reducer assigned to process the key value pair.
- B. The default partitioner computes the hash of the key. Hash values between specific ranges are associated with different buckets, and each bucket is assigned to a specific reducer.
- C. The default partitioner computes the hash of the key and divides that value modulo the number of reducers. The result determines the reducer assigned to process the key-value pair.
- D. The default partitioner assigns key value pairs to reducers based on an internal random number generator.
- E. The default partitioner implements a round robin strategy, shuffling the key value pairs to each reducer in turn. This ensures an even partition of the key space.
Correct Answer: C 🗳️
Explanation: Only visible for Exam4Tests members. You can sign-up / login (it's free).
Question #5
What is the preferred way to pass a small number of configuration parameters to a mapper or reducer?
- A. Through a static variable in the MapReduce driver class (i.e., the class that submits the MapReduce job).
- B. Using a plain text file via the Distributedcache, which each mapper or reducer reads.
- C. As key-value pairs in the jobconf object.
- D. As a custom input key-value pair passed to each mapper or reducer.
Correct Answer: C 🗳️
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