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Hortonworks HADOOP-PR000007 Actual Tests : Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)
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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Hive Development | - Hive table definitions and queries - Hive optimization and execution |
| Topic 2: Pig Development | - Pig data types and UDFs - Pig Latin scripting |
| Topic 3: Hadoop Ecosystem Tools | - Workflow and processing frameworks - Sqoop and data ingestion |
| Topic 4: Hadoop Core Concepts | - HDFS architecture and commands - YARN and MapReduce fundamentals |
Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:
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 "mapred.job.name=Example" MyDriver input output
- B. hadoop setproperty ("mapred.job.name=Example") MyDriver input output
- C. hadoop MyDriver mapred.job.name=Example input output
- D. hadoop setproperty mapred.job.name=Example MyDriver input output
- E. hadoop MyDrive -D mapred.job.name=Example input output
Correct Answer: E 🗳️
Review the following data and Pig code:
What command to define B would produce the output (M,62,95l02) when invoking the DUMP operator on
B?
- A. B= FOREACH A BY (gender = = 'M' AND zip = = '95102');
- B. B = FILTER A BY (zip = = '95102' AND gender = = M");
- C. B= GROUP A BY (zip = = '95102' AND gender = = 'M');
- D. B = JOIN A BY (gender = = 'M' AND zip = = '95102');
Correct Answer: B 🗳️
MapReduce v2 (MRv2/YARN) is designed to address which two issues?
- A. Resource pressure on the JobTracker.
- B. Ability to run frameworks other than MapReduce, such as MPI.
- C. Single point of failure in the NameNode.
- D. Standardize on a single MapReduce API.
- E. HDFS latency.
- F. Reduce complexity of the MapReduce APIs.
Correct Answer: A,C 🗳️
What data does a Reducer reduce method process? Reference: Yahoo! Hadoop Tutorial, Module 4:
MapReduce
- A. All data for a given key, regardless of which mapper(s) produced it.
- B. All data produced by a single mapper.
- C. All the data in a single input file.
- D. All data for a given value, regardless of which mapper(s) produced it.
Correct Answer: A 🗳️
Which one of the following statements describes the relationship between the ResourceManager and the
ApplicationMaster?
- A. The ResourceManager monitors and restarts any failed Containers of the ApplicationMaster
- B. The ApplicationMaster starts an instance of the ResourceManager within each Container
- C. The ApplicationMaster starts a single instance of the ResourceManager
- D. The ApplicationMaster requests resources from the ResourceManager
Correct Answer: D 🗳️
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