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- Exam Code: HADOOP-PR000007
- Exam Name: Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)
- Updated: Sep 08, 2026
- Q & A: 110 Questions and Answers
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- Value Pack Total: $99.98 $69.99
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Hortonworks HADOOP-PR000007 dumps - Testing Engine
- Exam Code: HADOOP-PR000007
- Exam Name: Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)
- Updated: Sep 08, 2026
- Q & A: 110 Questions and Answers
- Software Price: $49.99
- Testing Engine
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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Hadoop Core Concepts | - HDFS architecture and commands - YARN and MapReduce fundamentals |
| Hadoop Ecosystem Tools | - Workflow and processing frameworks - Sqoop and data ingestion |
| Pig Development | - Pig Latin scripting - Pig data types and UDFs |
| Hive Development | - Hive optimization and execution - Hive table definitions and queries |
Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:
Question #1
In a MapReduce job, the reducer receives all values associated with same key. Which statement best
describes the ordering of these values?
- A. The values are in sorted order.
- B. Since the values come from mapper outputs, the reducers will receive contiguous sections of sorted
values. - C. The values are arbitrarily ordered, and the ordering may vary from run to run of the same MapReduce
job. - D. The values are arbitrary ordered, but multiple runs of the same MapReduce job will always have the
same ordering.
Correct Answer: C 🗳️
Question #2
Examine the following Pig commands:
Which one of the following statements is true?
- A. A random sample of approximately 20% of the data will be output
- B. Each MapReduce task will terminate after executing for 0.2 minutes
- C. The reducers will only output the first 20% of the data passed from the mappers
- D. The SAMPLE command generates an "unexpected symbol" error
Correct Answer: A 🗳️
Question #3
To process input key-value pairs, your mapper needs to lead a 512 MB data file in memory. What is the
best way to accomplish this?
- A. Place the data file in the DistributedCache and read the data into memory in the map method of the
mapper. - B. Serialize the data file, insert in it the JobConf object, and read the data into memory in the configure
method of the mapper. - C. Place the data file in the DataCache and read the data into memory in the configure method of the
mapper. - D. Place the data file in the DistributedCache and read the data into memory in the configure method of
the mapper.
Correct Answer: C 🗳️
Question #4
You need to run the same job many times with minor variations. Rather than hardcoding all job
configuration options in your drive code, you've decided to have your Driver subclass
org.apache.hadoop.conf.Configured and implement the org.apache.hadoop.util.Tool interface.
Indentify which invocation correctly passes.mapred.job.name with a value of Example to Hadoop?
- A. hadoop MyDriver mapred.job.name=Example input output
- B. hadoop setproperty mapred.job.name=Example MyDriver input output
- C. hadoop setproperty ("mapred.job.name=Example") MyDriver input output
- D. hadoop "mapred.job.name=Example" MyDriver input output
- E. hadoop MyDrive -D mapred.job.name=Example input output
Correct Answer: E 🗳️
Question #5
Given the following Hive commands:
Which one of the following statements Is true?
- A. The file mydata.txt is moved to a subfolder of /apps/hive/warehouse
- B. The file mydata.txt is copied to a subfolder of /apps/hive/warehouse
- C. The file mydata.txt is copied into Hive's underlying relational database 0.
- D. The file mydata.txt does not move from Its current location in HDFS
Correct Answer: B 🗳️
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