Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer
Certification Provider: Hortonworks
Corresponding Certification: HCAHD
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Hortonworks Apache-Hadoop-Developer Exam Overview:
| Certification Vendor: | Hortonworks |
|---|---|
| Exam Name: | Hortonworks Certified Apache Hadoop 2.0 Developer (Pig and Hive Developer) |
| Exam Number: | HADOOP-PR000007 / HDPCD / Apache-Hadoop-Developer |
| Certificate Validity Period: | 2 years |
| Real Exam Qty: | 8–12 performance-based tasks / approx. 110 multiple-choice |
| Passing Score: | 70% |
| Exam Duration: | 120 minutes |
| Exam Price: | $250 USD |
| Exam Format: | Scenario-based tasks, Performance-based hands-on tasks, Multiple-choice questions |
| Available Languages: | English |
| Related Certifications: | HDP Certified Administrator (HDPCA) Hortonworks Certified Associate (HCA) |
| Recommended Training: | Apache Pig & Hive Official Documentation Hortonworks Official Developer Training |
| Exam Registration: | Hortonworks Certification Portal |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored exam on a remote HDP 2.2 / 2.4 cluster |
| Pre Condition: | Recommended: 6+ months hands-on experience with HDP, Pig, Hive, Sqoop, Flume; no mandatory prerequisites |
| Official Syllabus URL: | https://hortonworks.com/services/training-certification/ (program retired) |
Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Apache Hive Development | 25% | - Use Hive functions, views, and metastore - Write and optimize HiveQL queries - Create and manage Hive tables, partitions, and buckets |
| Topic 2: Hadoop Fundamentals & Architecture | 20% | - MapReduce concepts and job lifecycle - YARN architecture and job execution - HDFS operations and file management |
| Topic 3: Data Ingestion | 25% | - Load data into HDFS from external sources - Ingest streaming data with Flume - Import/export data using Sqoop |
| Topic 4: Apache Pig Development | 30% | - Write and optimize Pig Latin scripts - Debug and tune Pig jobs - Data transformation, filtering, joining, and aggregation |
Apache-Hadoop-Developer Exam FAQ — Measure Your Ability
Upon successful payment, our system emails the Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer material automatically within about a minute, with 24/7 help if nothing arrives within 2 hours. If you fail the corresponding Apache-Hadoop-Developer exam within 60 days of purchase, we refund the full amount: send a scanned enrollment slip plus the official Score Report PDF within 2 days of the exam, processed within 7 days. Excluded: exams within 3 days of purchase, candidate names that don't match the payer, and free or expired products. Or exchange for two equal-value products free.
Recommended: 6+ months hands-on experience with HDP, Pig, Hive, Sqoop, Flume; no mandatory prerequisites Eligibility rules change over time, so verify the current requirements on the official page (official Apache-Hadoop-Developer exam page) before registering.
The Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer is Hortonworks's certification exam for HDP Certified Developer (HDPCD), at the Professional / Intermediate level. Employers read it as a measure of individual ability in routine technical work. Related credentials include Hortonworks Certified Associate (HCA), HDP Certified Administrator (HDPCA).
Yes:
After any course, focus on the verified key points with the 110 practice questions for the Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer — every answer expert-verified.
$250 USD per attempt, 70% to pass. Retakes cost the full fee — save time and money by preparing with the 110 practice questions for the Apache-Hadoop-Developer exam at Lead1Pass.
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The Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer is delivered Online proctored exam on a remote HDP 2.2 / 2.4 cluster — pick the arrangement that suits you when booking.
120 minutes for 8–12 performance-based tasks / approx. 110 multiple-choice questions. Practice anytime anywhere with the Lead1Pass APP — steady daily sessions build the pacing you need.
Yes — we provide the free PDF demo of the Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer dumps so you can look at the content and gain a further understanding before paying. Purchases include 365 days of free updates by email; renew afterward at 50% off.
The Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer blueprint spans 4 domains — including Apache Pig Development (30%), Hadoop Fundamentals & Architecture (20%), Apache Hive Development (25%). Our material stays closely linked to these knowledge points; the complete outline above lists every subtopic.
Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:
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. Write a custom FileInputFormat and override the method isSplitable to always return false.
- B. Set the number of mappers equal to the number of input files you want to process.
- C. Write a custom MapRunner that iterates over all key-value pairs in the entire file.
- D. Increase the parameter that controls minimum split size in the job configuration.
Correct Answer: A 🗳️
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Which TWO of the following statements are true regarding Hive? Choose 2 answers
- A. Allows you to define a structure for your unstructured Big Data
- B. Is a relational database
- C. Useful for data analysts familiar with SQL who need to do ad-hoc queries
- D. Offers real-time queries and row level updates
Correct Answer: A,C 🗳️
Examine the following Pig commands:
Which one of the following statements is true?
- A. The SAMPLE command generates an "unexpected symbol" error
- B. A random sample of approximately 20% of the data will be output
- C. The reducers will only output the first 20% of the data passed from the mappers
- D. Each MapReduce task will terminate after executing for 0.2 minutes
Correct Answer: B 🗳️
In Hadoop 2.0, which TWO of the following processes work together to provide automatic failover of the NameNode? Choose 2 answers
- A. ZKFailoverController
- B. QuorumManager
- C. JournalNode
- D. ZooKeeper
Correct Answer: A,C 🗳️
When can a reduce class also serve as a combiner without affecting the output of a MapReduce program?
- A. When the signature of the reduce method matches the signature of the combine method.
- B. Never. Combiners and reducers must be implemented separately because they serve different purposes.
- C. Always. Code can be reused in Java since it is a polymorphic object-oriented programming language.
- D. Always. The point of a combiner is to serve as a mini-reducer directly after the map phase to increase performance.
- E. 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.
Correct Answer: E 🗳️
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