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: | Hadoop 2.0 Certification Exam for Pig and Hive Developer |
| Exam Number: | Hadoop-PR000007 |
| Related Certifications: | HDP Certified Administrator (HDPCA) HDP Certified Developer (HDPCD) HDP Certified Java Developer |
| Available Languages: | English |
| Exam Duration: | 120 minutes |
| Exam Format: | Performance-based, Live Hadoop cluster tasks, Hands-on lab |
| Real Exam Qty: | Performance-based tasks |
| Exam Price: | $250 USD |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online remotely proctored, performance-based examination conducted on a live Hadoop cluster. |
| Pre Condition: | No mandatory prerequisite exam. Candidates are expected to have practical experience with Hortonworks Data Platform, Pig, Hive, Sqoop and Flume. |
| Official Syllabus URL: | https://www.cloudera.com/services-and-support/training/certification/hdp-cert-exam-faq.html |
Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Analysis with Hive | - Hive query development
|
| Topic 2: Data Transformation with Pig | - Pig Latin programming
|
| Topic 3: Data Ingestion | - Import data into Hadoop
|
| Topic 4: Data Processing | - End-to-end Hadoop workflows
|
Apache-Hadoop-Developer Exam: What to Know Before You Buy
The official Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer outline defines 4 domains. The leading three are Data Processing, Data Analysis with Hive, and Data Transformation with Pig. The full list is in the topics section above, and NewPassLeader's 110 practice questions cover each one.
The Apache-Hadoop-Developer exam is a Hortonworks certification exam validating the Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer syllabus shown above. It belongs to these credential paths: HDP Certified Developer (HDPCD), HDP Certified Administrator (HDPCA), HDP Certified Java Developer. In a crowded 2026 job market, the credential demonstrates ability visibly — and NewPassLeader prepares candidates with 110 practice questions in PDF, Desktop Test Engine, and Online Test Engine formats.
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Online remotely proctored, performance-based examination conducted on a live Hadoop cluster. Register for the Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer exam through these official channels:
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Three versions of the same study materials: a printable, expert-prepared PDF with free demo download and instant access; 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. All 110 practice questions are identical across versions. Every purchase includes 365 days of free updates — pushed to you automatically whenever the bank is revised — plus a 50% renewal discount afterward and unlimited computer installations.
The Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer exam contains Performance-based tasks to complete within 120 minutes. Timed simulation in the NewPassLeader Desktop Test Engine teaches that rhythm before exam day does.
Hortonworks recommends these training resources for the Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer exam:
Follow the training with steady self-testing — the 110 practice questions from NewPassLeader help you apply theory and fill any gaps the training leaves.
No mandatory prerequisite exam. Candidates are expected to have practical experience with Hortonworks Data Platform, Pig, Hive, Sqoop and Flume. Since requirements change over time, confirm the latest on the official Hortonworks exam page before scheduling.
Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:
Which YARN component is responsible for monitoring the success or failure of a Container?
- A. JobTracker
- B. ResourceManager
- C. ApplicationMaster
- D. NodeManager
Correct Answer: B 🗳️
To process input key-value pairs, your mapper needs to lead a 512 MB data file in memory. What is the best way to accomplish this?
- A. Place the data file in the DistributedCache and read the data into memory in the configure method of the mapper.
- B. Place the data file in the DataCache and read the data into memory in the configure method of the mapper.
- C. Serialize the data file, insert in it the JobConf object, and read the data into memory in the configure method of the mapper.
- D. Place the data file in the DistributedCache and read the data into memory in the map method of the mapper.
Correct Answer: B 🗳️
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 location of the InsputSplit to be processed in relation to the location of the node.
- B. The amount of free disk space on the TaskTracker node.
- C. The number and speed of CPU cores on the TaskTracker node.
- D. The average system load on the TaskTracker node over the past fifteen (15) minutes.
- E. The amount of RAM installed on the TaskTracker node.
Correct Answer: A 🗳️
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You need to run the same job many times with minor variations. Rather than hardcoding all job configuration options in your drive code, you've decided to have your Driver subclass org.apache.hadoop.conf.Configured and implement the org.apache.hadoop.util.Tool interface.
Indentify which invocation correctly passes.mapred.job.name with a value of Example to Hadoop?
- A. hadoop setproperty mapred.job.name=Example MyDriver input output
- B. hadoop "mapred.job.name=Example" MyDriver input output
- C. hadoop setproperty ("mapred.job.name=Example") MyDriver input output
- D. hadoop MyDrive -D mapred.job.name=Example input output
- E. hadoop MyDriver mapred.job.name=Example input output
Correct Answer: D 🗳️
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You have a directory named jobdata in HDFS that contains four files: _first.txt, second.txt, .third.txt and #data.txt. How many files will be processed by the FileInputFormat.setInputPaths () command when it's given a path object representing this directory?
- A. Two, file names with a leading period or underscore are ignored
- B. One, no special characters can prefix the name of an input file
- C. Four, all files will be processed
- D. Three, the pound sign is an invalid character for HDFS file names
- E. None, the directory cannot be named jobdata
Correct Answer: A 🗳️
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