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| Section | Weight | Objectives |
|---|---|---|
| MapReduce Design and Development | 35% | - Mappers, reducers, combiners, partitioners - Input/output formats and data serialization - Job configuration and optimization - MapReduce workflow and execution |
| Best Practices and Optimization | 15% | - Debugging and error handling - Scalability and fault tolerance - Performance tuning |
| Hadoop Architecture and HDFS | 25% | - HDFS API usage - Data access, replication, and consistency - HDFS components and design |
| Hadoop Ecosystem Tools | 25% | - Apache Pig and data flow scripting - Sqoop and Flume for data ingestion - Apache Hive and data warehousing - Oozie workflow scheduling |
Question 1
Does the MapReduce programming model provide a way for reducers to communicate with each other?
A. Yes, all reducers can communicate with each other by passing information through the jobconf object.
B. Yes, reducers running on the same machine can communicate with each other through shared memory, but not reducers on different machines.
C. Yes, reducers can communicate with each other by dispatching intermediate key value pairs that get shuffled to another reduce
D. No, each reducer runs independently and in isolation.
Question 2
For each intermediate key, each reducer task can emit:
A. As many final key value pairs as desired. There are no restrictions on the types of those key-value pairs (i.e., they can be heterogeneous)
B. As many final key-value pairs as desired, but they must have the same type as the intermediate key-value pairs.
C. As many final key-value pairs as desired, as long as all the keys have the same type and all the values have the same type.
D. One final key-value pair per value associated with the key; no restrictions on the type.
E. One final key value pair per key; no restrictions on the type.
Question 3
Which of the following best describes the map method input and output?
A. It accepts a single key-value pair as input and can emit only one key-value pair as output.
B. It accepts a single key-value pair as input and emits a single key and list of corresponding values as output
C. It accepts a single key-value pair as input and can emit any number of key-value pairs as output, including zero.
D. It accepts a list of key-value pairs as input hut run emit only one key value pair as output.
Question 4
The NameNode uses RAM for the following purpose:
A. To manage distributed read and write locks on files in HDFS.
B. To store filenames, list of blocks and other meta information.
C. To store the contents of files in HDFS.
D. To store the edits log that keeps track of changes in HDFS.
Question 5
What is a SequenceFile?
A. A SequenceFile contains a binary encoding of an arbitrary number of heterogeneous writable objects.
B. A SequenceFile contains a binary encoding of an arbitrary number of homogeneous writable objects.
C. A SequenceFile contains a binary encoding of an arbitrary number of WritableComparable objects, in sorted order.
D. A SequenceFile contains a binary encoding of an arbitrary number key-value pairs. Each key must be the same type. Each value must be same type.
Solutions:
| Question 1 Answer: D | Question 2 Answer: E | Question 3 Answer: C | Question 4 Answer: B | Question 5 Answer: D |
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