Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer
Certification Provider: Hortonworks
Corresponding Certification: HCAHD
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Updated: Oct 25, 2026
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- Total Questions: 110
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Two battles, one plan: master the content, then perform under pressure. ITCertMagic's Apache-Hadoop-Developer question bank handles the mastery with expert-verified answers and continuous updates in 2026 — and familiarity handles the pressure.
Hortonworks Apache-Hadoop-Developer Exam Overview:
| Certification Vendor: | Hortonworks (now part of Cloudera) |
|---|---|
| Exam Name: | Apache Hadoop Developer Exam (Pig and Hive Developer Focus) |
| Exam Number: | Apache-Hadoop-Developer |
| Related Certifications: | Hortonworks Certified Apache Hadoop Administrator Cloudera Data Platform certifications |
| Exam Format: | Multiple Choice, Scenario-based Questions |
| Available Languages: | English |
| Recommended Training: | Apache Hive Documentation Apache Pig Documentation Cloudera Training Courses |
| Exam Registration: | Cloudera Certification Portal |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored exam or authorized test center (varies by provider and time period) |
| Pre Condition: | Basic understanding of Linux, SQL, and distributed computing concepts recommended. |
| Official Syllabus URL: | https://www.cloudera.com/services-and-support/certification.html |
Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Data Processing and Integration | - Hadoop data formats
|
| Apache Hive | - HiveQL Query Language
|
| Hadoop Ecosystem Fundamentals | - YARN and Resource Management
|
| Apache Pig | - Pig execution model
|
Before the Apache-Hadoop-Developer Battle: Facts and Policies
The Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer blueprint is structured around these main domains:
- Data Processing and Integration
- Apache Pig
- Hadoop Ecosystem Fundamentals
Additional domains complete the official outline — our question bank spans the full set.
Hortonworks points candidates toward these official training options:
Formal training builds the framework; consistent question practice fills it in.
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By treating preparation and performance as one campaign. The Apache-Hadoop-Developer bank is rebuilt around every exam change — new key points and the latest question types compiled by our first-class experts, with expert-verified answers across the Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer objectives — so what you practice matches what you will face. Behind the content stands our service idea: customers' benefits first. Professionally trained after-sale staff answer 24/7, updates stay free for 365 days, and a written refund policy protects your investment throughout.
Hortonworks specifies these prerequisites for the Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer: Basic understanding of Linux, SQL, and distributed computing concepts recommended..
Verify the current requirements on the official certification page.
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Book a test center or online slot that fits your schedule — and leave yourself room to prepare calmly.
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Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:
What is a SequenceFile?
- A. A SequenceFile contains a binary encoding of an arbitrary number of homogeneous writable objects.
- B. A SequenceFile contains a binary encoding of an arbitrary number key-value pairs. Each key must be the same type. Each value must be same type.
- C. A SequenceFile contains a binary encoding of an arbitrary number of heterogeneous writable objects.
- D. A SequenceFile contains a binary encoding of an arbitrary number of WritableComparable objects, in sorted order.
Correct Answer: B 🗳️
Explanation: Only visible for ITCertMagic members. You can sign-up / login (it's free).
Which one of the following statements is true regarding a MapReduce job?
- A. The reduce method is invoked once for each unique value
- B. The Mapper must sort its output of (key.value) pairs in descending order based on value
- C. The default Hash Partitioner sends key value pairs with the same key to the same Reducer
- D. The job's Partitioner shuffles and sorts all (key.value) pairs and sends the output to all reducers
Correct Answer: D 🗳️
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. Increase the parameter that controls minimum split size in the job configuration.
- B. Set the number of mappers equal to the number of input files you want to process.
- C. Write a custom FileInputFormat and override the method isSplitable to always return false.
- D. Write a custom MapRunner that iterates over all key-value pairs in the entire file.
Correct Answer: C 🗳️
Explanation: Only visible for ITCertMagic members. You can sign-up / login (it's free).
Consider the following two relations, A and B.
What is the output of the following Pig commands?
X = GROUP A BY S1; DUMP X;
- A. Option A
- B. Option B
- C. Option C
- D. Option D
Correct Answer: D 🗳️
You use the hadoop fs -put command to write a 300 MB file using and HDFS block size of 64 MB. Just after this command has finished writing 200 MB of this file, what would another user see when trying to access this life?
- A. They would see Hadoop throw an ConcurrentFileAccessException when they try to access this file.
- B. They would see the current of the file through the last completed block.
- C. They would see the current state of the file, up to the last bit written by the command.
- D. They would see no content until the whole file written and closed.
Correct Answer: B 🗳️
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