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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Apache Hive Development | 25% | - Write and optimize HiveQL queries - Use Hive functions, views, and metastore - Create and manage Hive tables, partitions, and buckets |
| Topic 2: Data Ingestion | 25% | - Ingest streaming data with Flume - Import/export data using Sqoop - Load data into HDFS from external sources |
| Topic 3: Hadoop Fundamentals & Architecture | 20% | - MapReduce concepts and job lifecycle - YARN architecture and job execution - HDFS operations and file management |
| Topic 4: Apache Pig Development | 30% | - Debug and tune Pig jobs - Write and optimize Pig Latin scripts - Data transformation, filtering, joining, and aggregation |
1. You are developing a MapReduce job for sales reporting. The mapper will process input keys representing the year (IntWritable) and input values representing product indentifies (Text).
Indentify what determines the data types used by the Mapper for a given job.
A) The InputFormat used by the job determines the mapper's input key and value types.
B) The data types specified in HADOOP_MAP_DATATYPES environment variable
C) The mapper-specification.xml file submitted with the job determine the mapper's input key and value types.
D) The key and value types specified in the JobConf.setMapInputKeyClass and JobConf.setMapInputValuesClass methods
2. Which one of the following statements describes a Hive user-defined aggregate function?
A) Operates on multiple input rows and produces a table as output
B) Operates on a single input row and produces a single row as output
C) Operates on a single input row and produces a table as output
D) Operates on multiple input rows and creates a single row as output
3. You want to run Hadoop jobs on your development workstation for testing before you submit them to your production cluster. Which mode of operation in Hadoop allows you to most closely simulate a production cluster while using a single machine?
A) Run simldooop, the Apache open-source software for simulating Hadoop clusters.
B) Run the hadoop command with the -jt local and the -fs file:///options.
C) Run all the nodes in your production cluster as virtual machines on your development workstation.
D) Run the DataNode, TaskTracker, NameNode and JobTracker daemons on a single machine.
4. 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?
A) 2 Jim Chris 2 3 Terry 3 4 Brian 4
B) 2 cherry 2 cherry 3 orange 4 peach
C) 2 cherry Jim 2 2 cherry Chris 2 3 orange Terry 3 4 peach Brian 4
D) 2 cherry Jim, Chris 3 orange Terry 4 peach Brian
5. To use a lava user-defined function (UDF) with Pig what must you do?
A) Pass arguments to the constructor of UDFs implementation class
B) Register the JAR file containing the UDF
C) Put the JAR file into the user's home folder in HDFS
D) Define an alias to shorten the function name
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: D | Question # 3 Answer: D | Question # 4 Answer: C | Question # 5 Answer: B |
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