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Hortonworks HCAHD Apache-Hadoop-Developer

Apache-Hadoop-Developer

Exam Code: Apache-Hadoop-Developer

Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer

Updated: Aug 06, 2026

Q&A Number: 110 Q&As

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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Transformation with Pig- Pig Latin programming
  • 1. Load, filter, join, group and aggregate data
  • 2. Transform and process datasets
Topic 2: Data Ingestion- Import data into Hadoop
  • 1. Use Flume for log and event data ingestion
  • 2. Use Sqoop for relational data import
Topic 3: Data Analysis with Hive- Hive query development
  • 1. Write queries, joins, aggregations and partitions
  • 2. Create and manage databases and tables
Topic 4: Data Processing- End-to-end Hadoop workflows
  • 1. Produce required output using Hadoop ecosystem tools
  • 2. Analyze structured and semi-structured data

Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:

1. Identify the MapReduce v2 (MRv2 / YARN) daemon responsible for launching application containers and monitoring application resource usage?

A) TaskTracker
B) NodeManager
C) JobTracker
D) ApplicationMaster
E) ApplicationMasterService
F) ResourceManager


2. You want to Ingest log files Into HDFS, which tool would you use?

A) Flume
B) HCatalog
C) Ambari
D) Sqoop


3. 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 reduce method is called as soon as the intermediate key-value pairs start to arrive.
B) 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.
C) 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.
D) 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.


4. 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) Place the data file in the DataCache and read the data into memory in the configure method of the mapper.
C) Serialize the data file, insert in it the JobConf object, 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.


5. You want to run Hadoop jobs on your development workstation for testing before you submit them to your production cluster. Which mode of operation in Hadoop allows you to most closely simulate a production cluster while using a single machine?

A) Run simldooop, the Apache open-source software for simulating Hadoop clusters.
B) Run the hadoop command with the -jt local and the -fs file:///options.
C) Run all the nodes in your production cluster as virtual machines on your development workstation.
D) Run the DataNode, TaskTracker, NameNode and JobTracker daemons on a single machine.


Solutions:

Question # 1
Answer: B
Question # 2
Answer: A
Question # 3
Answer: D
Question # 4
Answer: B
Question # 5
Answer: D

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