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Updated: Oct 30, 2026
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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 |
| Exam Price: | $250 USD |
| Related Certifications: | HDP Certified Administrator (HDPCA) HDP Certified Developer (HDPCD) HDP Certified Java Developer |
| Real Exam Qty: | Performance-based tasks |
| Exam Duration: | 120 minutes |
| Exam Format: | Performance-based, Live Hadoop cluster tasks, Hands-on lab |
| Available Languages: | English |
| Sample Questions: | Hortonworks Apache-Hadoop-Developer Sample Questions |
| 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 Processing | - End-to-end Hadoop workflows
|
| Topic 2: Data Ingestion | - Import data into Hadoop
|
| Topic 3: Data Transformation with Pig | - Pig Latin programming
|
| Topic 4: Data Analysis with Hive | - Hive query development
|
Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:
You need to perform statistical analysis in your MapReduce job and would like to call methods in the Apache Commons Math library, which is distributed as a 1.3 megabyte Java archive (JAR) file. Which is the best way to make this library available to your MapReducer job at runtime?
- A. Have your system administrator copy the JAR to all nodes in the cluster and set its location in the HADOOP_CLASSPATH environment variable before you submit your job.
- B. Package your code and the Apache Commands Math library into a zip file named JobJar.zip
- C. Have your system administrator place the JAR file on a Web server accessible to all cluster nodes and then set the HTTP_JAR_URL environment variable to its location.
- D. When submitting the job on the command line, specify the -libjars option followed by the JAR file path.
Correct Answer: D 🗳️
Explanation: Only visible for Pass4training members. You can sign-up / login (it's free).
Review the following data and Pig code.
M,38,95111 F,29,95060 F,45,95192 M,62,95102 F,56,95102
A = LOAD 'data' USING PigStorage('.') as (gender:Chararray, age:int, zlp:chararray);
B = FOREACH A GENERATE age;
Which one of the following commands would save the results of B to a folder in hdfs named myoutput?
- A. STORE B INTO 'myoutput';
- B. STORE A INTO 'myoutput' USING PigStorage(',');
- C. DUMP B using PigStorage('myoutput');
- D. DUMP B INTO 'myoutput';
Correct Answer: A 🗳️
You use the hadoop fs -put command to write a 300 MB file using and HDFS block size of 64 MB. Just after this command has finished writing 200 MB of this file, what would another user see when trying to access this life?
- A. They would see the current of the file through the last completed block.
- B. They would see no content until the whole file written and closed.
- C. They would see Hadoop throw an ConcurrentFileAccessException when they try to access this file.
- D. They would see the current state of the file, up to the last bit written by the command.
Correct Answer: A 🗳️
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. Increase the parameter that controls minimum split size in the job configuration.
- D. Write a custom MapRunner that iterates over all key-value pairs in the entire file.
Correct Answer: A 🗳️
Explanation: Only visible for Pass4training members. You can sign-up / login (it's free).
Review the following 'data' file and Pig code.
Which one of the following statements is true?
- A. The code does not execute successfully because D is not a valid relation
- B. The Output Of the DUMP D command IS (M,{(M,62.95102),(M,38,95111)})
- C. The output of the dump d command is (M, {(38,95in),(62,95i02)})
- D. The code executes successfully but there is not output because the D relation is empty
Correct Answer: B 🗳️
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