Try Hortonworks : HADOOP-PR000007 valid & accurate questions and answers
Updated: Jul 16, 2026
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Hortonworks HADOOP-PR000007 Exam Overview:
| Certification Vendor: | Hortonworks (acquired by Cloudera) |
| Exam Name: | Hortonworks-Certified-Apache-Hadoop-2.0-Developer (Pig and Hive Developer) |
| Exam Number: | HADOOP-PR000007 |
| Exam Duration: | 120 minutes |
| Exam Price: | $150 USD |
| Certificate Validity Period: | 2 years |
| Related Certifications: | HDP Certified Administrator (HDPCA) |
| Exam Format: | Hands-on performance-based tasks, Scenario-based questions |
| Real Exam Qty: | 110 |
| Available Languages: | English |
| Passing Score: | 70% |
| Recommended Training: | Apache Pig & Hive Official Documentation HDP Developer Training |
| Exam Registration: | Cloudera Certification Portal |
| Sample Questions: | Hortonworks HADOOP-PR000007 Sample Questions |
| Exam Way: | Online proctored or authorized test center; retired since 2020 |
| Pre Condition: | No formal prerequisites; hands-on experience with HDP 2.x, Pig, and Hive strongly recommended |
| Official Syllabus URL: | https://www.cloudera.com/services-and-support/training/certification/hdp-cert-exam-faq.html |
Hortonworks HADOOP-PR000007 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Hadoop Fundamentals & HDFS | 20% | - HDFS file operations, permissions, and data management - Hadoop 2.0 architecture & YARN |
| Topic 2: Apache Hive Development | 35% | - HiveQL queries, joins, aggregations, and partitioning - Data types, serialization, and file formats - Hive architecture, metastore, and table management - Performance tuning and indexing |
| Topic 3: Apache Pig Development | 40% | - User-defined functions (UDFs) and optimization - Pig Latin syntax, data loading, and storage - Data transformation, filtering, grouping, and joining - Integration with HCatalog and Hive |
| Topic 4: Data Ingestion & Ecosystem Integration | 5% | - Sqoop and Flume usage basics - Workflow orchestration with Oozie |
Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:
1. Which one of the following statements is true about a Hive-managed table?
A) Hive dynamically defines the schema of the table based on the format of the underlying data.
B) Records can only be added to the table using the Hive INSERT command.
C) When the table is dropped, the underlying folder in HDFS is deleted.
D) Hive dynamically defines the schema of the table based on the FROM clause of a SELECT query.
2. Which HDFS command copies an HDFS file named foo to the local filesystem as localFoo?
A) hadoop fs -put foo LocalFoo
B) hadoop -cp foo LocalFoo
C) hadoop fs -get foo LocalFoo
D) hadoop fs -Is foo
3. Examine the following Hive statements:
Assuming the statements above execute successfully, which one of the following statements is true?
A) The contents of File1 are parsed as comma-delimited rows and stored in a database
B) The file named File1 is moved to to/user/joe/x/
C) The contents of File1 are parsed as comma-delimited rows and loaded into /user/joe/x/
D) Hive reformats File1 into a structure that Hive can access and moves into to/user/joe/x/
4. 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 A INTO 'myoutput' USING PigStorage(',');
B) STORE B INTO 'myoutput';
C) DUMP B using PigStorage('myoutput');
D) DUMP B INTO 'myoutput';
5. Which HDFS command uploads a local file X into an existing HDFS directory Y?
A) hadoop fs-put X Y
B) hadoop scp X Y
C) hadoop fs -localPut X Y
D) hadoop fs -get X Y
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: C | Question # 3 Answer: B | Question # 4 Answer: B | Question # 5 Answer: A |
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