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Hortonworks HADOOP-PR000007 Exam Overview:
| Certification Vendor: | Hortonworks |
|---|---|
| Exam Name: | Hortonworks-Certified-Apache-Hadoop-2.0-Developer (Pig and Hive Developer) |
| Exam Number: | HADOOP-PR000007 |
| Exam Duration: | 120 minutes |
| Related Certifications: | Hortonworks HDP Certified Developer (HDPCD) |
| Real Exam Qty: | 44-110 |
| Exam Format: | Multiple Choice Questions, Scenario-based Questions |
| Available Languages: | English |
| Recommended Training: | Hortonworks Training Catalog (HDP Developer Training) |
| Exam Registration: | Hortonworks Official Site |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored / testing platform (varies by provider) |
| Pre Condition: | Basic understanding of Hadoop ecosystem, Pig Latin, and HiveQL is recommended. |
| Official Syllabus URL: | https://hortonworks.com |
Hortonworks HADOOP-PR000007 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Hadoop Ecosystem Integration | - MapReduce basics - Data ingestion and ETL workflows - HDFS interaction |
| Topic 2: Data Processing with Pig | - Pig Latin fundamentals
|
| Topic 3: Data Warehousing with Hive | - HiveQL fundamentals
|
Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer): Common Questions From Candidates
What is the Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) certification exam?
The Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) exam (code: HADOOP-PR000007) is the official Hortonworks exam that leads to the Hortonworks Certified Apache Hadoop 2.0 Developer certification. It sits at the Professional level of the Hortonworks certification track. It is also connected with related credentials such as Hortonworks HDP Certified Developer (HDPCD). Passing it proves to employers that your skills have been validated by Hortonworks itself, which is why the HADOOP-PR000007 credential keeps showing up in job postings.
How many questions are in the HADOOP-PR000007 exam, and how long does it take?
The Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) exam gives you 120 minutes to work through 44-110. Pacing matters more than most candidates expect, so before exam day, run at least one full timed session in the Dumpkiller test engine to learn how long you can afford per question. If an item stalls you, flag it and move on — coming back later beats burning five minutes on a single question.
Are there any prerequisites for the HADOOP-PR000007 exam?
According to Hortonworks, the following applies: Basic understanding of Hadoop ecosystem, Pig Latin, and HiveQL is recommended.. Certification policies do change from time to time, so confirm the latest requirements on the official exam page at https://hortonworks.com before you register.
How do I register for the HADOOP-PR000007 exam?
You can book your Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) exam through the official channels below:
Depending on availability in your region, the exam is delivered as Online proctored / testing platform (varies by provider).
What official training does Hortonworks recommend for the HADOOP-PR000007 exam?
Hortonworks lists the following training options for Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) candidates:
Official courses build a solid foundation, and pairing them with the 110 practice questions from Dumpkiller shows you how ready you really are before you spend money on the exam itself.
Can I try the HADOOP-PR000007 practice questions before buying?
Yes. Dumpkiller offers a free HADOOP-PR000007 PDF demo so you can review the question style, difficulty, and explanations before committing to anything. After purchase, your Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) material includes 365 days of free updates, and if your product expires after that, you can extend the update service at a 50% discount from your member zone.
What happens if I do not pass the HADOOP-PR000007 exam, and how is my order delivered?
If you take the corresponding HADOOP-PR000007 exam within 60 days of your purchase and do not pass, you can apply for a full refund under our 100% Money Back Guarantee, subject to a few conditions: the failed exam must be the one matching your purchase; sitting the exam within 3 days of purchase does not qualify, since that leaves too little preparation time; downloading the material without actually taking the exam does not qualify; free materials and expired orders are excluded; and the candidate name must match the payer name. To apply, send a scanned copy of your enrollment slip together with your official Score Report (PDF) within 2 days after the exam, and claims are processed within 7 days. If you would rather not take a refund, you can exchange your purchase for two free products of equal value while keeping the update service on the product you originally bought. As for delivery, everything is an instant download: your products are sent to your email within one minute of payment — contact customer service if nothing arrives within 2 hours — and there is no limit on the number of computers you can install the software on.
What topics are covered in the HADOOP-PR000007 exam?
The official Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) syllabus is organized into 3 main domains. The first three are Hadoop Ecosystem Integration, Data Warehousing with Hive, and Data Processing with Pig. For the full domain-by-domain breakdown, see the complete Exam Topics outline above.
Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:
Question #1
In Hadoop 2.0, which one of the following statements is true about a standby NameNode?
The Standby NameNode:
A. Processes all client requests and block reports from the appropriate DataNodes.
B. Runs on the same machine and shares the memory of the active NameNode.
C. Communicates directly with the active NameNode to maintain the state of the active NameNode.
D. Receives the same block reports as the active NameNode.
Question #2
You wrote a map function that throws a runtime exception when it encounters a control character in input
data. The input supplied to your mapper contains twelve such characters totals, spread across five file
splits. The first four file splits each have two control characters and the last split has four control
characters.
Indentify the number of failed task attempts you can expect when you run the job with
mapred.max.map.attempts set to 4:
A. You will have forty-eight failed task attempts
B. You will have twelve failed task attempts
C. You will have seventeen failed task attempts
D. You will have five failed task attempts
E. You will have twenty failed task attempts
Question #3
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. Reducer <Text, IntWritable, Text, IntWritable>
C. Combiner <Text, Text, IntWritable, IntWritable>
D. Mapper <Text, IntWritable, Text, IntWritable>
E. Combiner <Text, IntWritable, Text, IntWritable>
Question #4
Determine which best describes when the reduce method is first called in a MapReduce job?
A. Reduce methods and map methods all start at the beginning of a job, in order to provide optimal
performance for map-only or reduce-only jobs.
B. Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed.
The reduce method is called only after all intermediate data has been copied and sorted.
C. Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed.
The programmer can configure in the job what percentage of the intermediate data should arrive before
the reduce method begins.
D. Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed.
The reduce method is called as soon as the intermediate key-value pairs start to arrive.
Question #5
In a MapReduce job, the reducer receives all values associated with same key. Which statement best
describes the ordering of these values?
A. The values are in sorted order.
B. Since the values come from mapper outputs, the reducers will receive contiguous sections of sorted
values.
C. The values are arbitrarily ordered, and the ordering may vary from run to run of the same MapReduce
job.
D. The values are arbitrary ordered, but multiple runs of the same MapReduce job will always have the
same ordering.
Solutions:
| Question #1 Correct Answer: D | Question #2 Correct Answer: E | Question #3 Correct Answer: B | Question #4 Correct Answer: B | Question #5 Correct Answer: C |


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