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Hortonworks HDPCD Exam Overview:

Certification Vendor:Hortonworks (merged with Cloudera)
Exam Name:Hortonworks Data Platform Certified Developer
Exam Number:HDPCD
Exam Price:USD 250
Passing Score:Complete minimum 5 out of 7 tasks / 70%
Exam Duration:120 minutes
Related Certifications:HDP Certified Administrator
HDP Certified Spark Developer (HDPCD-Spark)
Exam Format:Hands-on tasks, Live HDP cluster environment, Performance-based
Real Exam Qty:7 hands-on tasks
Available Languages:English
Certificate Validity Period:24 Months
Recommended Training:Cloudera Official Training
Exam Registration:Cloudera Certification Portal
PSI ExamsLocal
Sample Questions: DOWNLOAD DEMO
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 Transformation with Apache Pig35%- Transform and filter datasets
- Write and execute Pig Latin scripts
- Work with Pig data types and functions
Topic 2: Data Ingestion & Import30%- Import data from relational databases using Sqoop
- Load and manage data in HDFS
- Ingest streaming data using Flume
Topic 3: Data Analysis with Apache Hive35%- Write and run HiveQL queries
- Integrate Hive with HDFS and external sources
- Create and manage Hive tables and partitions

Hortonworks HDPCD Exam FAQ — What Candidates Ask Most

The HDPCD exam is the official Hortonworks exam for Hortonworks Data Platform Certified Developer. Passing it earns you the Hortonworks Data Platform Certified Developer credential, which sits at the Associate / Professional level. It is also connected to HDP Certified Administrator, HDP Certified Spark Developer (HDPCD-Spark), so what you learn carries over if you plan to pursue those paths as well. Employers treat the certification as verified proof of skill, which is why structured preparation with 2Pass4sure's practice questions pays off.

The HDPCD exam contains 7 hands-on tasks questions, and the time limit is 120 minutes. Translate that into a pacing plan before exam day: know roughly how long you can afford per item, flag anything that stalls you, and circle back at the end instead of burning minutes. Two or three full timed sessions in 2Pass4sure's test engine will teach you that rhythm far better than untimed reading ever will.

The passing score for the HDPCD exam is Complete minimum 5 out of 7 tasks / 70%, and the official registration fee is USD 250. Remember that a failed attempt means paying that fee again in full for a retake, so treat self-assessment as part of the budget: run 2Pass4sure's practice questions under timed conditions and only book your seat once your scores sit comfortably above the passing bar.

No mandatory prerequisites; recommended experience with HDFS, YARN, basic SQL, and programming knowledge Eligibility details can change, so before you register, confirm the current requirements on the official exam page: https://www.cloudera.com/services-and-support/training/certification.html.

You can book the HDPCD exam through the official registration channels below:

Exam delivery method: Online proctored, remote delivery via live HDP 2.2 / 2.4 cluster.

Hortonworks points candidates to the following official training options:

Once the coursework has built your foundation, the fastest way to turn theory into exam readiness is drilling with 2Pass4sure's 110 practice questions for the Hortonworks Data Platform Certified Developer exam.

Yes. 2Pass4sure offers a free PDF demo of the Hortonworks Data Platform Certified Developer practice questions on the samples page, so you can judge the format and quality yourself before paying anything. Every purchase also includes 365 days of free updates, and after the product expires you can extend the update service at a 50% discount from within your member zone.

If you take the corresponding exam within 60 days of purchase and do not pass, 2Pass4sure backs you with a 100% money-back guarantee. To claim it, submit a scanned copy of your exam enrollment slip together with your official Score Report PDF within 2 days of the exam, and the refund is processed within 7 days. The guarantee does not apply to attempts made within the first 3 days after purchase, to products downloaded without actually sitting the exam, or to free materials and expired orders, and the candidate name must match the payer's name. If you would rather have study material than money, you can instead exchange for two additional exam products of equal value, free of charge, while keeping the update service on your original purchase. Delivery itself is instant: your download is available right after payment and a copy reaches your mailbox within one minute — if nothing arrives within 2 hours, contact customer service. You may install the product on as many computers as you need.

The official Hortonworks Data Platform Certified Developer blueprint is organized into 3 domains. The leading areas are:

  • Data Transformation with Apache Pig — 35% of the exam
  • Data Analysis with Apache Hive — 35% of the exam
  • Data Ingestion & Import — 30% of the exam

For the complete domain-by-domain breakdown with every subtopic, see the Exam Topics outline above.

Hortonworks Data Platform Certified Developer Sample Questions:

Question 1

You've written a MapReduce job that will process 500 million input records and generated 500 million key-value pairs. The data is not uniformly distributed. Your MapReduce job will create a significant amount of intermediate data that it needs to transfer between mappers and reduces which is a potential bottleneck. A custom implementation of which interface is most likely to reduce the amount of intermediate data transferred across the network?

A. Partitioner
B. Writable
C. InputFormat
D. WritableComparable
E. Combiner
F. OutputFormat


Question 2

You are developing a MapReduce job for sales reporting. The mapper will process input keys representing the year (IntWritable) and input values representing product indentifies (Text).
Indentify what determines the data types used by the Mapper for a given job.

A. The mapper-specification.xml file submitted with the job determine the mapper's input key and value types.
B. The InputFormat used by the job determines the mapper's input key and value types.
C. The key and value types specified in the JobConf.setMapInputKeyClass and JobConf.setMapInputValuesClass methods
D. The data types specified in HADOOP_MAP_DATATYPES environment variable


Question 3

When can a reduce class also serve as a combiner without affecting the output of a MapReduce program?

A. Always. The point of a combiner is to serve as a mini-reducer directly after the map phase to increase performance.
B. Never. Combiners and reducers must be implemented separately because they serve different purposes.
C. When the types of the reduce operation's input key and input value match the types of the reducer's output key and output value and when the reduce operation is both communicative and associative.
D. Always. Code can be reused in Java since it is a polymorphic object-oriented programming language.
E. When the signature of the reduce method matches the signature of the combine method.


Question 4

Which one of the following is NOT a valid Oozie action?

A. hive
B. mapreduce
C. pig
D. mrunit


Question 5

What are the TWO main components of the YARN ResourceManager process? Choose 2 answers

A. Applications Manager
B. Scheduler
C. Job Tracker
D. Task Tracker


Solutions:

Question 1
Answer: E
Question 2
Answer: B
Question 3
Answer: C
Question 4
Answer: D
Question 5
Answer: A,B

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