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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Data Processing | - End-to-end Hadoop workflows
|
| Data Transformation with Pig | - Pig Latin programming
|
| Data Ingestion | - Import data into Hadoop
|
| Data Analysis with Hive | - Hive query development
|
Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:
In a large MapReduce job with m mappers and n reducers, how many distinct copy
operations will there be in the sort/shuffle phase?
- A. mXn (i.e., m multiplied by n)
- B. mn (i.e., m to the power of n)
- C. m+n (i.e., m plus n)
- D. m
- E. n
Explanation: Only visible for DumpsFree members. You can sign-up / login (it's free).
Given the following Hive command:
INSERT OVERWRITE TABLE mytable SELECT * FROM myothertable;
Which one of the following statements is true?
- A. A new table named mytable is created, and the contents of myothertable are copied into mytable
- B. The contents of myothertable are appended to mytable
- C. The statement is not a valid Hive command
- D. Any existing data in mytable will be overwritten
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 all the nodes in your production cluster as virtual machines on your development workstation.
- C. Run the hadoop command with the -jt local and the -fs file:///options.
- D. Run the DataNode, TaskTracker, NameNode and JobTracker daemons on a single machine.
Identify the tool best suited to import a portion of a relational database every day as files into HDFS, and generate Java classes to interact with that imported data?
- A. Hive
- B. Oozie
- C. fuse-dfs
- D. Flume
- E. Pig
- F. Hue
- G. Sqoop
Explanation: Only visible for DumpsFree members. You can sign-up / login (it's free).
Table metadata in Hive is:
- A. Stored in ZooKeeper.
- B. Stored as metadata on the NameNode.
- C. Stored in the Metastore.
- D. Stored along with the data in HDFS.
Explanation: Only visible for DumpsFree members. You can sign-up / login (it's free).
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