Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer
Certification Provider: Hortonworks
Corresponding Certification: HCAHD
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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Apache Hive | - HiveQL Query Language
|
| Hadoop Ecosystem Fundamentals | - HDFS Architecture and Data Storage Concepts
|
| Data Processing and Integration | - Hadoop data formats
|
| Apache Pig | - Pig Latin Programming
|
Common Questions About the Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Exam
Registration for the Apache-Hadoop-Developer exam goes through the official channels listed here:
Book a date once your practice results hold steady — a fixed exam day turns casual study into committed preparation.
The official outline groups the Apache-Hadoop-Developer exam content into weighted domains, including:
- Data Processing and Integration ()
- Apache Hive ()
- Hadoop Ecosystem Fundamentals ()
The three versions of the Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer materials at ExamPrepAway all follow this objective structure, so whichever format you study in, you are working on what the exam actually covers.
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Basic understanding of Linux, SQL, and distributed computing concepts recommended.
The Apache-Hadoop-Developer exam is the official test behind the Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer certification from Hortonworks. It verifies that you can apply the published exam objectives in practical scenarios, and the credential signals to employers that your skills have been measured against an industry-recognized standard — useful whether you are an office worker aiming at promotion or a student building a foundation.
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Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:
Which one of the following statements describes a Hive user-defined aggregate function?
- A. Operates on a single input row and produces a single row as output
- B. Operates on a single input row and produces a table as output
- C. Operates on multiple input rows and creates a single row as output
- D. Operates on multiple input rows and produces a table as output
Correct Answer: C 🗳️
MapReduce v2 (MRv2/YARN) splits which major functions of the JobTracker into separate
daemons? Select two.
- A. Heath states checks (heartbeats)
- B. Job coordination between the ResourceManager and NodeManager
- C. Job scheduling/monitoring
- D. MapReduce metric reporting
- E. Launching tasks
- F. Managing file system metadata
- G. Managing tasks
- H. Resource management
Correct Answer: C,H 🗳️
Explanation: Only visible for ExamPrepAway members. You can sign-up / login (it's free).
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. Hive dynamically defines the schema of the table based on the FROM clause of a SELECT query.
- C. When the table is dropped, the underlying folder in HDFS is deleted.
- D. Records can only be added to the table using the Hive INSERT command.
Correct Answer: C 🗳️
When is the earliest point at which the reduce method of a given Reducer can be called?
- A. Not until all mappers have finished processing all records.
- B. As soon as at least one mapper has finished processing its input split.
- C. As soon as a mapper has emitted at least one record.
- D. It depends on the InputFormat used for the job.
Correct Answer: A 🗳️
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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 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.
- D. 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.
- E. 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.
Correct Answer: D 🗳️
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