- Exam Code: HADOOP-PR000007
- Exam Name: Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)
- Updated: Aug 16, 2026
- Q & A: 110 Questions and Answers
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| Section | Objectives |
|---|---|
| Pig Development | - Pig Latin scripting - Pig data types and UDFs |
| Hadoop Ecosystem Tools | - Sqoop and data ingestion - Workflow and processing frameworks |
| Hadoop Core Concepts | - YARN and MapReduce fundamentals - HDFS architecture and commands |
| Hive Development | - Hive table definitions and queries - Hive optimization and execution |
1. Review the following 'data' file and Pig code.
Which one of the following statements is true?
A) The Output Of the DUMP D command IS (M,{(M,62.95102),(M,38,95111)})
B) The output of the dump d command is (M, {(38,95in),(62,95i02)})
C) The code executes successfully but there is not output because the D relation is empty
D) The code does not execute successfully because D is not a valid relation
2. A NameNode in Hadoop 2.0 manages ______________.
A) An arbitrary number of namespaces
B) Two namespaces: an active namespace and a backup namespace
C) A single namespace
D) No namespaces
3. What data does a Reducer reduce method process? Reference: Yahoo! Hadoop Tutorial, Module 4:
MapReduce
A) All data for a given value, regardless of which mapper(s) produced it.
B) All data for a given key, regardless of which mapper(s) produced it.
C) All the data in a single input file.
D) All data produced by a single mapper.
4. You want to understand more about how users browse your public website, such as which pages they
visit prior to placing an order. You have a farm of 200 web servers hosting your website. How will you
gather this data for your analysis?
A) Write a MapReduce job, with the web servers for mappers, and the Hadoop cluster nodes for reduces.
B) Sample the weblogs from the web servers, copying them into Hadoop using curl.
C) Ingest the server web logs into HDFS using Flume.
D) Channel these clickstreams inot Hadoop using Hadoop Streaming.
E) Import all users' clicks from your OLTP databases into Hadoop, using Sqoop.
5. You want to perform analysis on a large collection of images. You want to store this data in HDFS and
process it with MapReduce but you also want to give your data analysts and data scientists the ability to
process the data directly from HDFS with an interpreted high-level programming language like Python.
Which format should you use to store this data in HDFS?
A) CSV
B) JSON
C) Avro
D) SequenceFiles
E) HTML
F) XML
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: C | Question # 3 Answer: B | Question # 4 Answer: C | Question # 5 Answer: C |
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