Exam Name: Hortonworks Data Platform Certified Developer
Certification Provider: Hortonworks
Corresponding Certification: HDP Certified Developer
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- Total Questions: 110
- Updated on: Oct 24, 2026
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- Total Questions: 110
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- Total Questions: 110
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The Hortonworks Data Platform Certified Developer exam has a reputation for breadth, and many candidates underestimate how much ground it covers. Actual4dump closes those gaps with 110 practice questions that reflect the style and difficulty you can expect in 2026.
Hortonworks HDPCD Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Ingestion and Movement | - Sqoop
|
| Topic 2: Scripting and Workflow Tools | - Pig
|
| Topic 3: Data Processing with Hive | - HiveQL
|
| Topic 4: MapReduce Programming | - MapReduce job development
|
| Topic 5: Hadoop Ecosystem Fundamentals | - YARN (Yet Another Resource Negotiator)
|
Hortonworks Data Platform Certified Developer Exam FAQ: What Candidates Ask Most
The HDPCD exam is the official Cloudera (formerly Hortonworks) exam behind the Hortonworks Data Platform Certified Developer certification, validating the skills measured by the Hortonworks Data Platform Certified Developer credential. It sits at the Professional level of the Cloudera (formerly Hortonworks) certification program. It also connects to Hortonworks Data Platform Certified Administrator (HDPCA), Cloudera Certified Associate (CCA), so the knowledge you build here carries over to those tracks as well.
Basic knowledge of Hadoop ecosystem, Linux command line, and programming experience (Java or scripting languages recommended). Requirements can change when Cloudera (formerly Hortonworks) revises its certification program, so confirm the current eligibility rules on the official exam page before you register.
You can book the Hortonworks Data Platform Certified Developer exam through the official registration channels below:
As for delivery, the exam is offered in the following format: Online performance-based lab exam. Choose the option that suits you best when you book your seat.
Cloudera (formerly Hortonworks) recommends the following training resources for the Hortonworks Data Platform Certified Developer exam:
Official courses build the foundation; the 110 practice questions from Actual4dump then show you how that knowledge is examined, so the two work best together.
Yes. Actual4dump provides a free HDPCD PDF demo so you can review the question style and answer quality before purchasing. Every purchase also includes 365 days of free updates — if Hortonworks revises the exam during that period, the updated material reaches you at no cost. Once the free-update year ends, you can extend your update service at a 50% discount.
Every Hortonworks Data Platform Certified Developer purchase on Actual4dump is covered by a 100% money-back guarantee with clear conditions: if you take the corresponding exam within 60 days of your purchase and do not pass, you can claim a full refund by submitting a scanned copy of your exam enrollment slip and your official score report as a PDF within two days of the exam date; claims are processed within seven days of submission. The guarantee does not apply to exams taken within three days of purchase, to material that was downloaded but never used in an exam attempt, or to free products and expired orders, and the candidate name must match the payer name. If you would rather not take a refund, you can instead exchange your purchase for two free exam preparation products of equal value and keep the update service on your original product.
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The Hortonworks Data Platform Certified Developer exam blueprint is organized into 5 domains. The first three are:
- Hadoop Ecosystem Fundamentals
- Scripting and Workflow Tools
- Data Ingestion and Movement
For the complete domain-by-domain breakdown, scroll up to the full exam topics outline above and use it to plan how you distribute your study time.
Hortonworks Data Platform Certified Developer Sample Questions:
You are developing a combiner that takes as input Text keys, IntWritable values, and emits Text keys, IntWritable values. Which interface should your class implement?
- A. Reducer <Text, Text, IntWritable, IntWritable>
- B. Mapper <Text, IntWritable, Text, IntWritable>
- C. Reducer <Text, IntWritable, Text, IntWritable>
- D. Combiner <Text, IntWritable, Text, IntWritable>
- E. Combiner <Text, Text, IntWritable, IntWritable>
Correct Answer: C 🗳️
Given the following Pig commands:
Which one of the following statements is true?
- A. The severe relation is not valid
- B. The grouped relation is not valid
- C. The $1 variable represents the first column of data in 'my.log'
- D. The $1 variable represents the second column of data in 'my.log'
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. Set the number of mappers equal to the number of input files you want to process.
- B. Increase the parameter that controls minimum split size in the job configuration.
- C. Write a custom MapRunner that iterates over all key-value pairs in the entire file.
- D. Write a custom FileInputFormat and override the method isSplitable to always return false.
Correct Answer: D 🗳️
Explanation: Only visible for Actual4dump members. You can sign-up / login (it's free).
Which HDFS command displays the contents of the file x in the user's HDFS home directory?
- A. hadoop fs -Is x
- B. hadoop fs -cat x
- C. hadoop fs -cp x
- D. hdfs fs -get x
Correct Answer: B 🗳️
What data does a Reducer reduce method process?
- 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.
Correct Answer: B 🗳️
Explanation: Only visible for Actual4dump members. You can sign-up / login (it's free).
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