Cloudera CCD-333 : Cloudera Certified Developer for Apache Hadoop

  • Exam Code: CCD-333
  • Exam Name: Cloudera Certified Developer for Apache Hadoop
  • Updated: Aug 17, 2026
  • Q & A: 60 Questions and Answers

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Cloudera CCD-333 Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Processing with Hadoop Ecosystem- Pig Latin scripting basics
- Hive query language and data warehousing
Topic 2: Hadoop Cluster Operations- Cluster configuration and management basics
- Resource management with YARN
Topic 3: Hadoop Fundamentals- MapReduce programming model
- HDFS architecture and data storage concepts
Topic 4: Data Analysis and Optimization- Query optimization in Hive
- Performance tuning in MapReduce jobs
Topic 5: Data Ingestion and Workflow- Sqoop data import/export
- Flume data ingestion concepts

Cloudera Certified Developer for Apache Hadoop Sample Questions:

1. You need to create a GUI application to help your company's sales people add and edit customer information. Would HDFS be appropriate for this customer information file?

A) Yes, because HDFS is optimized for random access writes.
B) No, because HDFS is optimized for write-once, streaming access for relatively large files.
C) No, because HDFS can only be accessed by MapReduce applications.
D) Yes, because HDFS is optimized for fast retrieval of relatively small amounts of data.


2. In the reducer, the MapReduce API provides you with an iterator over Writable values. Calling the next () method:

A) Returns a reference to the same writable object each time, but populated with different data.
B) Returns a reference to a Writable object from an object pool.
C) Returns a reference to the same writable object if the next value is the same as the previous value, or a new writable object otherwise.
D) Returns a reference to a Writable object. The API leaves unspecified whether this is a reused object or a new object.
E) Returns a reference to a different Writable object each time.


3. To process input key-value pairs, your mapper needs to load a 512 MB data file in memory. What is the best way to accomplish this?

A) Serialize the data file, insert it in the Jobconf object, and read the data into memory in the configure method of the mapper.
B) Place the data file in theDistributedCacheand read the data into memory in the map method of the mapper.
C) Place the data file in theDistributedCacheand read the data into memory in the configure method of the mapper.
D) Place the datafile in the DataCache and read the data into memory in the configure method ofthe mapper.


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

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


5. During the standard sort and shuffle phase of MapReduce, keys and values are passed to reducers. Which of the following is true?

A) Keys are presented to a reducer in sorted order; values for a given key are not sorted.
B) Keys are presented to a reducer in random order; values for a given key are not sorted.
C) Keys are presented to a reducer in random order; values for a given key are sorted in ascending order.
D) Keys are presented to a reducer in soiled order; values for a given key are sorted in ascending order.


Solutions:

Question # 1
Answer: B
Question # 2
Answer: A
Question # 3
Answer: B
Question # 4
Answer: B
Question # 5
Answer: C

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