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Last Updated: Sep 29, 2026
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| Section | Weight | Objectives |
|---|---|---|
| Apache Pig Development | 30% | - Write and optimize Pig Latin scripts - Debug and tune Pig jobs - Data transformation, filtering, joining, and aggregation |
| Data Ingestion | 25% | - Ingest streaming data with Flume - Import/export data using Sqoop - Load data into HDFS from external sources |
| Apache Hive Development | 25% | - Use Hive functions, views, and metastore - Create and manage Hive tables, partitions, and buckets - Write and optimize HiveQL queries |
| Hadoop Fundamentals & Architecture | 20% | - HDFS operations and file management - MapReduce concepts and job lifecycle - YARN architecture and job execution |
Which one of the following statements is true regarding a MapReduce job?
Correct Answer: C 🗳️
Examine the following Hive statements:
Assuming the statements above execute successfully, which one of the following statements is true?
Correct Answer: A 🗳️
You use the hadoop fs -put command to write a 300 MB file using and HDFS block size of 64 MB. Just after this command has finished writing 200 MB of this file, what would another user see when trying to access this life?
Correct Answer: D 🗳️
When can a reduce class also serve as a combiner without affecting the output of a MapReduce program?
Correct Answer: B 🗳️
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Which two of the following statements are true about Pig's approach toward data? Choose 2 answers
Correct Answer: A,D 🗳️
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