Hortonworks HDPCD : Hortonworks Data Platform Certified Developer

  • Exam Code: HDPCD
  • Exam Name: Hortonworks Data Platform Certified Developer
  • Updated: Nov 07, 2026
  • Q & A: 110 Questions and Answers

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About Hortonworks HDPCD Exam Cram

The HDPCD exam is a tough nut to crack — that is precisely why the certification changes careers. Test4Cram helps you meet the challenge with 110 practice questions for the Hortonworks Data Platform Certified Developer exam, kept current by experts who track the exam's every move.

Hortonworks HDPCD Exam Overview:
Certification Vendor:Hortonworks (merged with Cloudera)
Exam Name:Hortonworks Data Platform Certified Developer
Exam Number:HDPCD
Real Exam Qty:7 hands-on tasks
Exam Duration:120 minutes
Related Certifications:HDP Certified Spark Developer (HDPCD-Spark)
HDP Certified Administrator
Available Languages:English
Certificate Validity Period:24 Months
Exam Price:USD 250
Passing Score:Complete minimum 5 out of 7 tasks / 70%
Exam Format:Hands-on tasks, Performance-based, Live HDP cluster environment
Recommended Training:Cloudera Official Training
Exam Registration:PSI ExamsLocal
Cloudera Certification Portal
Sample Questions:Free Download HDPCD Test Exam Cram
Exam Way:Online proctored, remote delivery via live HDP 2.2 / 2.4 cluster
Pre Condition:No mandatory prerequisites; recommended experience with HDFS, YARN, basic SQL, and programming knowledge
Official Syllabus URL:https://www.cloudera.com/services-and-support/training/certification.html
Hortonworks HDPCD Exam Syllabus Topics:
SectionWeightObjectives
Topic 1: Data Analysis with Apache Hive35%- Write and run HiveQL queries
- Integrate Hive with HDFS and external sources
- Create and manage Hive tables and partitions
Topic 2: Data Transformation with Apache Pig35%- Write and execute Pig Latin scripts
- Work with Pig data types and functions
- Transform and filter datasets
Topic 3: Data Ingestion & Import30%- Import data from relational databases using Sqoop
- Load and manage data in HDFS
- Ingest streaming data using Flume

Frequently Asked Questions — Hortonworks Data Platform Certified Developer Exam

A complete package backed by a full service system: 110 practice questions for the Hortonworks Data Platform Certified Developer exam in three formats — a printable, expert-prepared PDF with instant download; a Desktop Test Engine for Windows that simulates the real exam with two practice modes and works offline; and an Online Test Engine for any browser on Windows, Mac, Android, and iOS with test history and performance review. Also included: a free demo, 365 days of free updates renewed continuously by experts, a 50% renewal discount afterward, unlimited installations, and 24-hour full-time online service.

The official Hortonworks Data Platform Certified Developer outline organizes the exam into 3 domains. The three heaviest are Data Analysis with Apache Hive (35%), Data Ingestion & Import (30%), and Data Transformation with Apache Pig (35%). The complete list is in the topics section above, and the 110 practice questions at Test4Cram cover every domain.

The HDPCD exam is a Hortonworks certification exam covering the Hortonworks Data Platform Certified Developer syllabus shown above. It contributes to these credential paths: HDP Certified Administrator, HDP Certified Spark Developer (HDPCD-Spark). It has a reputation for being demanding — which is exactly why the credential carries weight with employers in 2026. Test4Cram prepares you with 110 practice questions in PDF, Desktop Test Engine, and Online Test Engine formats.

You need Complete minimum 5 out of 7 tasks / 70% to pass the Hortonworks Data Platform Certified Developer exam, and registration costs USD 250. Since retakes are priced the same, verifying readiness with the Test4Cram practice engines first is simply good budgeting.

Hortonworks recommends these training resources for the Hortonworks Data Platform Certified Developer exam:

Pair the training with the 110 practice questions from Test4Cram — renewed continuously, they keep your practice aligned with the newest exam information.

Test4Cram refunds you in full if you take the Hortonworks Data Platform Certified Developer exam within 60 days of purchase and do not pass. The policy does not apply if the exam is taken within 3 days of purchase, if the exam was never actually taken, or to free materials or expired orders, and the candidate name must match the payer name. Submit a scan of your enrollment slip and the official Score Report PDF within 2 days of the exam; claims are processed within 7 days. Alternatively, exchange for two free exam products of equal value and keep your original update service. Delivery is by email within 1 minute of purchase — contact support if nothing arrives within 2 hours.

Online proctored, remote delivery via live HDP 2.2 / 2.4 cluster Register for the Hortonworks Data Platform Certified Developer exam through these official channels:

After booking, your Test4Cram practice questions arrive by email within 1 minute — preparation can begin immediately.

The Hortonworks Data Platform Certified Developer exam presents 7 hands-on tasks within 120 minutes. That pacing is part of the challenge — rehearse it with the timed mode in the Test4Cram Desktop Test Engine.

No mandatory prerequisites; recommended experience with HDFS, YARN, basic SQL, and programming knowledge Requirements are updated from time to time, so confirm the latest on the official Hortonworks exam page before scheduling.

Hortonworks Data Platform Certified Developer Sample Questions:
Question #1

You want to count the number of occurrences for each unique word in the supplied input data. You've decided to implement this by having your mapper tokenize each word and emit a literal value 1, and then have your reducer increment a counter for each literal 1 it receives. After successful implementing this, it occurs to you that you could optimize this by specifying a combiner. Will you be able to reuse your existing Reduces as your combiner in this case and why or why not?

  • A. No, because the sum operation in the reducer is incompatible with the operation of a Combiner.
  • B. No, because the Combiner is incompatible with a mapper which doesn't use the same data type for both the key and value.
  • C. Yes, because the sum operation is both associative and commutative and the input and output types to the reduce method match.
  • D. Yes, because Java is a polymorphic object-oriented language and thus reducer code can be reused as a combiner.
  • E. No, because the Reducer and Combiner are separate interfaces.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Question #2

What does the following command do? register '/piggyban):/pig-files.jar';

  • A. Transforms Pig user-defined functions into a format that Hive can accept
  • B. Specifies the location of the JAR file containing the user-defined functions
  • C. Assigns a name to a user-defined function or streaming command
  • D. Invokes the user-defined functions contained in the jar file
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #3

On a cluster running MapReduce v1 (MRv1), a TaskTracker heartbeats into the JobTracker on your cluster, and alerts the JobTracker it has an open map task slot.
What determines how the JobTracker assigns each map task to a TaskTracker?

  • A. The amount of free disk space on the TaskTracker node.
  • B. The amount of RAM installed on the TaskTracker node.
  • C. The average system load on the TaskTracker node over the past fifteen (15) minutes.
  • D. The location of the InsputSplit to be processed in relation to the location of the node.
  • E. The number and speed of CPU cores on the TaskTracker node.
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Explanation: Only visible for Test4Cram members. You can sign-up / login (it's free).

Question #4

A NameNode in Hadoop 2.2 manages ______________.

  • A. An arbitrary number of namespaces
  • B. No namespaces
  • C. A single namespace
  • D. Two namespaces: an active namespace and a backup namespace
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Question #5

Which best describes what the map method accepts and emits?

  • A. It accepts a list key-value pairs as input and can emit only one key-value pair as output.
  • B. It accepts a single key-value pair as input and emits a single key and list of corresponding values as output.
  • C. It accepts a single key-value pairs as input and can emit only one key-value pair as output.
  • D. It accepts a single key-value pairs as input and can emit any number of key-value pair as output, including zero.
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Explanation: Only visible for Test4Cram members. You can sign-up / login (it's free).

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