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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Apache Pig | - Pig execution model
|
| Data Processing and Integration | - Data ingestion and ETL workflows
|
| Apache Hive | - HiveQL Query Language
|
| Hadoop Ecosystem Fundamentals | - YARN and Resource Management
|
Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:
Which of the following tool was designed to import data from a relational database into HDFS?
- A. Flume
- B. Ambari
- C. Sqoop
- D. HCatalog
Correct Answer: C 🗳️
Which HDFS command copies an HDFS file named foo to the local filesystem as localFoo?
- A. hadoop fs -Is foo
- B. hadoop fs -put foo LocalFoo
- C. hadoop fs -get foo LocalFoo
- D. hadoop -cp foo LocalFoo
Correct Answer: C 🗳️
Consider the following two relations, A and B.
Which Pig statement combines A by its first field and B by its second field?
- A. C = DOIN B BY a1, A by b2;
- B. C = JOIN A a1, B b2;
- C. C = JOIN A by al, B by b2;
- D. C = JOIN A SO, B $1;
Correct Answer: C 🗳️
Which one of the following statements describes the relationship between the NodeManager and the ApplicationMaster?
- A. The NodeManager requests resources from the ApplicationMaster
- B. The ApplicationMaster starts the NodeManager outside of a Container
- C. The NodeManager creates an instance of the ApplicationMaster
- D. The ApplicationMaster starts the NodeManager in a Container
Correct Answer: C 🗳️
You've written a MapReduce job that will process 500 million input records and generated 500 million key-value pairs. The data is not uniformly distributed. Your MapReduce job will create a significant amount of intermediate data that it needs to transfer between mappers and reduces which is a potential bottleneck. A custom implementation of which interface is most likely to reduce the amount of intermediate data transferred across the network?
- A. OutputFormat
- B. WritableComparable
- C. Combiner
- D. Partitioner
- E. Writable
- F. InputFormat
Correct Answer: C 🗳️
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