Cloudera CCD-333 Q&A - in .pdf

  • Exam Code: CCD-333
  • Exam Name: Cloudera Certified Developer for Apache Hadoop
  • Updated: Jul 30, 2026
  • Q & A: 60 Questions and Answers
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Cloudera CCD-333 Q&A - Testing Engine

  • Exam Code: CCD-333
  • Exam Name: Cloudera Certified Developer for Apache Hadoop
  • Updated: Jul 30, 2026
  • Q & A: 60 Questions and Answers
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Cloudera CCD-333 Exam Syllabus Topics:

SectionObjectives
Hadoop Ecosystem and Architecture- Hadoop Distributed File System (HDFS)
  • 1. Data replication and fault tolerance
    • 2. HDFS architecture and components
      - YARN Resource Management
      • 1. Cluster resource management concepts
        • 2. Resource allocation and scheduling
          Workflow and Scheduling- Oozie
          • 1. Workflow coordination and job scheduling
            Data Ingestion and Integration- Flume
            • 1. Log collection and streaming ingestion
              - Sqoop
              • 1. Import/export between RDBMS and Hadoop
                Data Processing with MapReduce- MapReduce programming model
                • 1. Shuffle and sort phase
                  • 2. Mapper and Reducer logic
                    - Optimization and debugging
                    • 1. Job troubleshooting techniques
                      • 2. Performance tuning basics
                        Data Formats and Storage- Serialization formats
                        • 1. Avro, Parquet, and SequenceFile concepts
                          Data Processing Tools- Pig
                          • 1. Pig Latin scripting
                            - Hive
                            • 1. SQL-like querying on Hadoop

                              Cloudera Certified Developer for Apache Hadoop Sample Questions:

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


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

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


                              3. The Hadoop framework provides a mechanism for coping with machine issues such as faulty configuration or impending hardware failure. MapReduce detects that one or a number of machines are performing poorly and starts more copies of a map or reduce task. All the tasks run simultaneously and the task that finish first are used. This is called:

                              A) IdentityMapper
                              B) Combiner
                              C) IdentityReducer
                              D) Speculative Execution
                              E) Default Partitioner


                              4. What is the standard configuration of slave nodes in a Hadoop cluster?

                              A) Each slave node runs a DataNode daemon, but only a fraction of the slave nodes run TaskTrackers.
                              B) Each slave node either runs a TaskTracker or a DataNode daemon, but not both.
                              C) Each slave node runs a TaskTracker, but only a fraction of the slave nodes run DataNode daemons.
                              D) Each slave node runs a JobTracker and a DataNode daemon.
                              E) Each slave node runs a TaskTracker and a DataNode daemon.


                              5. You have written a Mapper which invokes the following five calls to the outputcollector.collect method:

                              How many times will the Reducer's reduce method be invoked.

                              A) 6
                              B) 5
                              C) 0
                              D) 3
                              E) 1


                              Solutions:

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

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