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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Ingestion | - Import data into Hadoop
|
| Topic 2: Data Transformation with Pig | - Pig Latin programming
|
| Topic 3: Data Analysis with Hive | - Hive query development
|
| Topic 4: Data Processing | - End-to-end Hadoop workflows
|
Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:
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?
- A. Increase the block size on your remaining files.
- B. Decrease the block size on all current files in HDFS.
- C. Increase the amount of memory for the NameNode.
- D. Decrease the block size on your remaining files.
- E. Increase the block size on all current files in HDFS.
- F. Increase the number of disks (or size) for the NameNode.
Which one of the following statements is FALSE regarding the communication between DataNodes and a federation of NameNodes in Hadoop 2.0?
- A. Each DataNode receives commands from one designated master NameNode.
- B. DataNodes send periodic heartbeats to all the NameNodes.
- C. DataNodes send periodic block reports to all the NameNodes.
- D. Each DataNode registers with all the NameNodes.
Examine the following Hive statements:
Assuming the statements above execute successfully, which one of the following statements is true?
- A. The contents of File1 are parsed as comma-delimited rows and stored in a database
- B. The contents of File1 are parsed as comma-delimited rows and loaded into /user/joe/x/
- C. The file named File1 is moved to to/user/joe/x/
- D. Hive reformats File1 into a structure that Hive can access and moves into to/user/joe/x/
Assuming default settings, which best describes the order of data provided to a reducer's reduce method:
- A. The keys given to a reducer aren't in a predictable order, but the values associated with those keys always are.
- B. Both the keys and values passed to a reducer always appear in sorted order.
- C. The keys given to a reducer are in sorted order but the values associated with each key are in no predictable order
- D. Neither keys nor values are in any predictable order.
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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. mapred
- D. Sqoop
- E. Oozie
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