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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 |
| Real Exam Qty: | 110 |
| Passing Score: | 70% |
| Exam Format: | Scenario-based questions, Hands-on performance-based tasks |
| Certificate Validity Period: | 2 years |
| Related Certifications: | HDP Certified Administrator (HDPCA) |
| Exam Price: | $150 USD |
| Available Languages: | English |
| Recommended Training: | HDP Developer Training Apache Pig & Hive Official Documentation |
| 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% | - Hadoop 2.0 architecture & YARN - HDFS file operations, permissions, and data management |
| Topic 2: Data Ingestion & Ecosystem Integration | 5% | - Sqoop and Flume usage basics - Workflow orchestration with Oozie |
| Topic 3: Apache Hive Development | 35% | - Performance tuning and indexing - Hive architecture, metastore, and table management - Data types, serialization, and file formats - HiveQL queries, joins, aggregations, and partitioning |
| Topic 4: Apache Pig Development | 40% | - Data transformation, filtering, grouping, and joining - Integration with HCatalog and Hive - User-defined functions (UDFs) and optimization - Pig Latin syntax, data loading, and storage |
Hortonworks-Certified-Apache-Hadoop-2.0-Developer(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 MapRunner that iterates over all key-value pairs in the entire file.
- B. Increase the parameter that controls minimum split size in the job configuration.
- C. Set the number of mappers equal to the number of input files you want to process.
- D. Write a custom FileInputFormat and override the method isSplitable to always return false.
Correct Answer: D 🗳️
Analyze each scenario below and indentify which best describes the behavior of the default partitioner?
- A. The default partitioner implements a round-robin strategy, shuffling the key-value pairs to each reducer
in turn. This ensures an event partition of the key space. - B. The default partitioner assigns key-values pairs to reduces based on an internal random number
generator. - C. The default partitioner computes the hash of the key and divides that valule modulo the number of
reducers. The result determines the reducer assigned to process the key-value pair. - D. The default partitioner computes the hash of the key. Hash values between specific ranges are
associated with different buckets, and each bucket is assigned to a specific reducer. - E. The default partitioner computes the hash of the value and takes the mod of that value with the number
of reducers. The result determines the reducer assigned to process the key-value pair.
Correct Answer: C 🗳️
Which HDFS command copies an HDFS file named foo to the local filesystem as localFoo?
- A. hadoop fs -get foo LocalFoo
- B. hadoop fs -put foo LocalFoo
- C. hadoop fs -Is foo
- D. hadoop -cp foo LocalFoo
Correct Answer: A 🗳️
Given a directory of files with the following structure:
line number, tab character, string:
Example:
1 abialkjfjkaoasdfjksdlkjhqweroij
2 kadfjhuwqounahagtnbvaswslmnbfgy
3 kjfteiomndscxeqalkzhtopedkfsikj
You want to send each line as one record to your Mapper. Which InputFormat should you use to complete
the line: conf.setInputFormat (____.class) ; ?
- A. SequenceFileInputFormat
- B. KeyValueFileInputFormat
- C. BDBInputFormat
- D. SequenceFileAsTextInputFormat
Correct Answer: B 🗳️
Which of the following tool was designed to import data from a relational database into HDFS?
- A. HCatalog
- B. Ambari
- C. Sqoop
- D. Flume
Correct Answer: C 🗳️
By Jason
