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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Ingestion | - Import data into Hadoop
|
| Topic 2: Data Analysis with Hive | - Hive query development
|
| Topic 3: Data Processing | - End-to-end Hadoop workflows
|
| Topic 4: Data Transformation with Pig | - Pig Latin programming
|
Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:
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. Sqoop
- C. mapred
- D. Flume
- E. Oozie
Correct Answer: A 🗳️
Explanation: Only visible for PrepAwayETE members. You can sign-up / login (it's free).
Determine which best describes when the reduce method is first called in a MapReduce job?
- A. Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed. The programmer can configure in the job what percentage of the intermediate data should arrive before the reduce method begins.
- B. Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed. The reduce method is called as soon as the intermediate key-value pairs start to arrive.
- C. Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed. The reduce method is called only after all intermediate data has been copied and sorted.
- D. Reduce methods and map methods all start at the beginning of a job, in order to provide optimal performance for map-only or reduce-only jobs.
Correct Answer: C 🗳️
Explanation: Only visible for PrepAwayETE members. You can sign-up / login (it's free).
Consider the following two relations, A and B.
What is the output of the following Pig commands?
X = GROUP A BY S1; DUMP X;
- A. Option B
- B. Option A
- C. Option D
- D. Option C
Correct Answer: C 🗳️
You want to Ingest log files Into HDFS, which tool would you use?
- A. HCatalog
- B. Ambari
- C. Sqoop
- D. Flume
Correct Answer: D 🗳️
You use the hadoop fs -put command to write a 300 MB file using and HDFS block size of 64 MB. Just after this command has finished writing 200 MB of this file, what would another user see when trying to access this life?
- A. They would see the current of the file through the last completed block.
- B. They would see no content until the whole file written and closed.
- C. They would see the current state of the file, up to the last bit written by the command.
- D. They would see Hadoop throw an ConcurrentFileAccessException when they try to access this file.
Correct Answer: A 🗳️
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