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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Ingestion | 25% | - Load data into HDFS from external sources - Ingest streaming data with Flume - Import/export data using Sqoop |
| Topic 2: Hadoop Fundamentals & Architecture | 20% | - MapReduce concepts and job lifecycle - HDFS operations and file management - YARN architecture and job execution |
| Topic 3: Apache Hive Development | 25% | - Create and manage Hive tables, partitions, and buckets - Use Hive functions, views, and metastore - Write and optimize HiveQL queries |
| Topic 4: Apache Pig Development | 30% | - Write and optimize Pig Latin scripts - Debug and tune Pig jobs - Data transformation, filtering, joining, and aggregation |
In Hadoop 2.0, which TWO of the following processes work together to provide automatic failover of the NameNode? Choose 2 answers
Correct Answer: B,D 🗳️
What is a SequenceFile?
Correct Answer: C 🗳️
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Which TWO of the following statements are true regarding Hive? Choose 2 answers
Correct Answer: B,D 🗳️
Which two of the following are true about this trivial Pig program' (choose Two)
Correct Answer: A,B 🗳️
Indentify the utility that allows you to create and run MapReduce jobs with any executable
or script as the mapper and/or the reducer?
Correct Answer: D 🗳️
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