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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Apache Hive Development35%- HiveQL queries, joins, aggregations, and partitioning
- Performance tuning and indexing
- Data types, serialization, and file formats
- Hive architecture, metastore, and table management
Topic 2: Hadoop Fundamentals & HDFS20%- HDFS file operations, permissions, and data management
- Hadoop 2.0 architecture & YARN
Topic 3: Data Ingestion & Ecosystem Integration5%- Workflow orchestration with Oozie
- Sqoop and Flume usage basics
Topic 4: Apache Pig Development40%- Data transformation, filtering, grouping, and joining
- Integration with HCatalog and Hive
- Pig Latin syntax, data loading, and storage
- User-defined functions (UDFs) and optimization

Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:

Question #1

MapReduce v2 (MRv2/YARN) is designed to address which two issues?

  • A. Ability to run frameworks other than MapReduce, such as MPI.
  • B. Reduce complexity of the MapReduce APIs.
  • C. HDFS latency.
  • D. Standardize on a single MapReduce API.
  • E. Resource pressure on the JobTracker.
  • F. Single point of failure in the NameNode.
Reveal Solution  Discussion  0

Correct Answer: E,F  🗳️

Question #2

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
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Question #3

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. InputFormat
  • B. Combiner
  • C. OutputFormat
  • D. Writable
  • E. WritableComparable
  • F. Partitioner
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #4

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

  • A. HCatalog
  • B. Ambari
  • C. Sqoop
  • D. Flume
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Question #5

Examine the following Pig commands:

Which one of the following statements is true?

  • A. A random sample of approximately 20% of the data will be output
  • B. The SAMPLE command generates an "unexpected symbol" error
  • C. The reducers will only output the first 20% of the data passed from the mappers
  • D. Each MapReduce task will terminate after executing for 0.2 minutes
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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