• Exam Code: Apache-Hadoop-Developer
  • 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:

SectionWeightObjectives
Apache Hive Development25%- Create and manage Hive tables, partitions, and buckets
- Use Hive functions, views, and metastore
- Write and optimize HiveQL queries
Data Ingestion25%- Ingest streaming data with Flume
- Load data into HDFS from external sources
- Import/export data using Sqoop
Apache Pig Development30%- Debug and tune Pig jobs
- Data transformation, filtering, joining, and aggregation
- Write and optimize Pig Latin scripts
Hadoop Fundamentals & Architecture20%- HDFS operations and file management
- YARN architecture and job execution
- MapReduce concepts and job lifecycle

Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:

Question 1

Workflows expressed in Oozie can contain:

A. Iterntive repetition of MapReduce jobs until a desired answer or state is reached.
B. Sequences of MapReduce and Pig. These sequences can be combined with other actions including forks, decision points, and path joins.
C. Sequences of MapReduce and Pig jobs. These are limited to linear sequences of actions with exception handlers but no forks.
D. Sequences of MapReduce job only; on Pig on Hive tasks or jobs. These MapReduce sequences can be combined with forks and path joins.


Question 2

A combiner reduces:

A. The number of output files a reducer must produce.
B. The amount of intermediate data that must be transferred between the mapper and reducer.
C. The number of values across different keys in the iterator supplied to a single reduce method call.
D. The number of input files a mapper must process.


Question 3

Which of the following tool was designed to import data from a relational database into HDFS?

A. HCatalog
B. Flume
C. Ambari
D. Sqoop


Question 4

Identify the MapReduce v2 (MRv2 / YARN) daemon responsible for launching application containers and monitoring application resource usage?

A. ResourceManager
B. TaskTracker
C. NodeManager
D. ApplicationMasterService
E. ApplicationMaster
F. JobTracker


Question 5

Examine the following Hive statements:

Assuming the statements above execute successfully, which one of the following statements is true?

A. The SORT BY command causes only one reducer to be used
B. The output is guaranteed to be a single file with all the data sorted by age
C. The output of each reducer is only the age column
D. Each reducer generates a file sorted by age


Solutions:

Question 1
Answer: B
Question 2
Answer: B
Question 3
Answer: D
Question 4
Answer: C
Question 5
Answer: D

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