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Cloudera CCD-333 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Hadoop Fundamentals | - HDFS architecture and data storage concepts - MapReduce programming model |
| Data Analysis and Optimization | - Query optimization in Hive - Performance tuning in MapReduce jobs |
| Data Processing with Hadoop Ecosystem | - Pig Latin scripting basics - Hive query language and data warehousing |
| Data Ingestion and Workflow | - Flume data ingestion concepts - Sqoop data import/export |
| Hadoop Cluster Operations | - Cluster configuration and management basics - Resource management with YARN |
Cloudera Certified Developer for Apache Hadoop Sample Questions:
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 emits a single key and list of corresponding values as output
- 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 can emit any number of key-value pairs as output, including zero.
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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)
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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. No, because HDFS can only be accessed by MapReduce applications.
- B. No, because HDFS is optimized for write-once, streaming access for relatively large files.
- C. Yes, because HDFS is optimized for fast retrieval of relatively small amounts of data.
- D. Yes, because HDFS is optimized for random access writes.
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Which of the following best describes the workings of TextInputFormat?
- A. Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReaders of both splits containing the broken line.
- B. Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReader of the split that contains the beginning of the broken line.
- C. Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReader of the split that contains the end of the broken line.
- D. Input file splits may cross line breaks. A line that crosses tile splits is ignored.
- E. The input file is split exactly at the line breaks, so each Record Reader will read a series of complete lines.
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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, and the output of each mapper is written to a separate file in HDFS.
- D. No reducer executes, but the mappers generate no output.
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