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Cloudera CCD-333 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Best Practices and Optimization | 15% | - Performance tuning - Debugging and error handling - Scalability and fault tolerance |
| Hadoop Architecture and HDFS | 25% | - Data access, replication, and consistency - HDFS API usage - HDFS components and design |
| MapReduce Design and Development | 35% | - Mappers, reducers, combiners, partitioners - MapReduce workflow and execution - Input/output formats and data serialization - Job configuration and optimization |
| Hadoop Ecosystem Tools | 25% | - Apache Pig and data flow scripting - Apache Hive and data warehousing - Sqoop and Flume for data ingestion - Oozie workflow scheduling |
Cloudera Certified Developer for Apache Hadoop Sample Questions:
1. Which of the following statements best describes how a large (100 GB) file is stored in HDFS?
A) The master copy of the file is stored on a single datanode. The replica copies are divided into fixed-size blocks, which are stored on multiple datanodes.
B) The file is replicated three times by default. Eachcopy of the file is stored on a separate datanodes.
C) The file is divided into variable size blocks, which are stored on multiple data nodes. Each block is replicated three times by default.
D) The file is divided into fixed-size blocks, which are stored on multiple datanodes. Each block is replicated three times by default. Multiple blocks from the same file might reside on the same datanode.
E) The file is divided into fixed-size blocks, which are stored on multiple datanodes. Each block is replicated three times by default.HDFS guarantees that different blocks from the same file are never on the same datanode.
2. The NameNode uses RAM for the following purpose:
A) To store the contents of files in HDFS.
B) To store the edits log that keeps track of changes in HDFS.
C) To manage distributed read and write locks on files in HDFS.
D) To store filenames, list of blocks and other meta information.
3. Which MapReduce daemon runs on each slave node and participates in job execution?
A) TaskTracker
B) NameNode
C) JobTracker
D) Secondary NameNode
4. In a large MapReduce job with m mappers and r reducers, how many distinct copy operations will there be in the sort/shuffle phase?
A) mr (i.e., m to the power of r)
B) m+r (i.e., m plus r)
C) r
D) m
E) mxr (i.e., m multiplied by r)
5. What happens in a MapReduce job when you set the number of reducers to zero?
A) No reducer executes, but the outputs of all the mappers are gathered together and written to a single file in HDFS.
B) Setting the number of reducers to zero is invalid, and an exception is thrown.
C) No reducer executes, but the mappers generate no output.
D) No reducer executes, and the output of each mapper is written to a separate file in HDFS.
Solutions:
| Question # 1 Answer: E | Question # 2 Answer: D | Question # 3 Answer: A | Question # 4 Answer: E | Question # 5 Answer: D |


