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| Section | Weight | Objectives |
|---|---|---|
| Apache Pig Development | 30% | - Data transformation, filtering, joining, and aggregation - Write and optimize Pig Latin scripts - Debug and tune Pig jobs |
| Data Ingestion | 25% | - Load data into HDFS from external sources - Import/export data using Sqoop - Ingest streaming data with Flume |
| Apache Hive Development | 25% | - Write and optimize HiveQL queries - Create and manage Hive tables, partitions, and buckets - Use Hive functions, views, and metastore |
| Hadoop Fundamentals & Architecture | 20% | - YARN architecture and job execution - HDFS operations and file management - MapReduce concepts and job lifecycle |
Your cluster's HDFS block size in 64MB. You have directory containing 100 plain text files, each of which is 100MB in size. The InputFormat for your job is TextInputFormat. Determine how many Mappers will run?
Correct Answer: B 🗳️
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Given the following Hive commands:
Which one of the following statements Is true?
Correct Answer: B 🗳️
When can a reduce class also serve as a combiner without affecting the output of a MapReduce program?
Correct Answer: C 🗳️
Explanation: Only visible for ValidTorrent members. You can sign-up / login (it's free).
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: B 🗳️
Which one of the following statements describes a Pig bag. tuple, and map, respectively?
Correct Answer: C 🗳️
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