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| Section | Objectives |
|---|---|
| Apache Hive | - HiveQL Query Language
|
| Data Processing and Integration | - Hadoop data formats
|
| Hadoop Ecosystem Fundamentals | - HDFS Architecture and Data Storage Concepts
|
| Apache Pig | - Pig Latin Programming
|
1. In a MapReduce job with 500 map tasks, how many map task attempts will there be?
A) At least 500.
B) Between 500 and 1000.
C) At most 500.
D) Exactly 500.
E) It depends on the number of reduces in the job.
2. MapReduce v2 (MRv2/YARN) splits which major functions of the JobTracker into separate
daemons? Select two.
A) Managing tasks
B) Launching tasks
C) Resource management
D) Job scheduling/monitoring
E) Managing file system metadata
F) MapReduce metric reporting
G) Job coordination between the ResourceManager and NodeManager
H) Heath states checks (heartbeats)
3. What does the following WebHDFS command do?
Curl -1 -L "http://host:port/webhdfs/v1/foo/bar?op=OPEN"
A) List a directory /foo
B) Read a file /foo/bar
C) Make a directory /foo/bar
D) Delete a directory /foo/bar
4. For each intermediate key, each reducer task can emit:
A) One final key-value pair per value associated with the key; no restrictions on the type.
B) One final key-value pair per key; no restrictions on the type.
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) As many final key-value pairs as desired, but they must have the same type as the intermediate key-value pairs.
E) 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).
5. Indentify the utility that allows you to create and run MapReduce jobs with any executable
or script as the mapper and/or the reducer?
A) Hadoop Streaming
B) Flume
C) Oozie
D) Sqoop
E) mapred
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: C,D | Question # 3 Answer: B | Question # 4 Answer: C | Question # 5 Answer: A |
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