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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Hadoop Fundamentals & Architecture | 20% | - MapReduce concepts and job lifecycle - YARN architecture and job execution - HDFS operations and file management |
| Topic 2: Apache Hive Development | 25% | - Create and manage Hive tables, partitions, and buckets - Write and optimize HiveQL queries - Use Hive functions, views, and metastore |
| Topic 3: Apache Pig Development | 30% | - Data transformation, filtering, joining, and aggregation - Debug and tune Pig jobs - Write and optimize Pig Latin scripts |
| Topic 4: Data Ingestion | 25% | - Ingest streaming data with Flume - Load data into HDFS from external sources - Import/export data using Sqoop |
Examine the following Hive statements:
Assuming the statements above execute successfully, which one of the following statements is true?
Correct Answer: D 🗳️
What types of algorithms are difficult to express in MapReduce v1 (MRv1)?
Correct Answer: C 🗳️
Explanation: Only visible for ValidTorrent members. You can sign-up / login (it's free).
Consider the following two relations, A and B.
A Pig JOIN statement that combined relations A by its first field and B by its second field would produce what output?
Correct Answer: A 🗳️
Which best describes how TextInputFormat processes input files and line breaks?
Correct Answer: A 🗳️
Explanation: Only visible for ValidTorrent members. You can sign-up / login (it's free).
You need to move a file titled "weblogs" into HDFS. When you try to copy the file, you can't. You know you have ample space on your DataNodes. Which action should you take to relieve this situation and store more files in HDFS?
Correct Answer: D 🗳️
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