Hortonworks HADOOP-PR000007 Questions & Answers - in .pdf
- Total Q&A: 110
- Update: Aug 31, 2026
- Price: $49.99
- Vendor: Hortonworks
- Exam Code: HADOOP-PR000007
- Exam Name: Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)
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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 table definitions and queries
- Hive optimization and execution
|
Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:
Question 1
Which one of the following statements regarding the components of YARN is FALSE?
A. A Container executes a specific task as assigned by the ApplicationMaster
B. The ResourceManager is responsible for scheduling and allocating resources
C. A client application submits a YARW job to the ResourceManager
D. The ResourceManager monitors and restarts any failed Containers
Question 2
In a MapReduce job, you want each of your input files processed by a single map task. How do you
configure a MapReduce job so that a single map task processes each input file regardless of how many
blocks the input file occupies?
A. Set the number of mappers equal to the number of input files you want to process.
B. Write a custom FileInputFormat and override the method isSplitable to always return false.
C. Increase the parameter that controls minimum split size in the job configuration.
D. Write a custom MapRunner that iterates over all key-value pairs in the entire file.
Question 3
Which HDFS command copies an HDFS file named foo to the local filesystem as localFoo?
A. hadoop -cp foo LocalFoo
B. hadoop fs -Is foo
C. hadoop fs -get foo LocalFoo
D. hadoop fs -put foo LocalFoo
Question 4
Analyze each scenario below and indentify which best describes the behavior of the default partitioner?
A. The default partitioner computes the hash of the value and takes the mod of that value with the number
of reducers. The result determines the reducer assigned to process the key-value pair.
B. The default partitioner implements a round-robin strategy, shuffling the key-value pairs to each reducer
in turn. This ensures an event partition of the key space.
C. The default partitioner computes the hash of the key and divides that valule modulo the number of
reducers. The result determines the reducer assigned to process the key-value pair.
D. The default partitioner computes the hash of the key. Hash values between specific ranges are
associated with different buckets, and each bucket is assigned to a specific reducer.
E. The default partitioner assigns key-values pairs to reduces based on an internal random number
generator.
Question 5
Which TWO of the following statements are true regarding Hive? Choose 2 answers
A. Allows you to define a structure for your unstructured Big Data
B. Offers real-time queries and row level updates
C. Is a relational database
D. Useful for data analysts familiar with SQL who need to do ad-hoc queries
Solutions:
Question 1 Answer: D | Question 2 Answer: B | Question 3 Answer: C | Question 4 Answer: C | Question 5 Answer: A,D |
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