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Our Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Preparation Material provides you everything you will need to take a Hortonworks HDP Certified Developer HADOOP-PR000007 examination. Details are researched and produced by Hortonworks Certification Experts who are constantly using industry experience to produce precise, and logical.

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HADOOP-PR000007 exam is an important Hortonworks Certification which can test your professional skills. Candidates want to pass the exam successfully to prove their competence. Fast2test Hortonworks technical experts have collected and certified 110 questions and answers of HDP Certified Developer - Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) which are designed to cover the knowledge points of the Planning and Designing Hortonworks Superdome Server Solutions and enhance candidates' abilities. With Fast2test HADOOP-PR000007 preparation tests you can pass the HDP Certified Developer - Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) easily, get the Hortonworks certification and go further on Hortonworks career path.

Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

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

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

Which TWO of the following statements are true regarding Hive? Choose 2 answers

  • A. Is a relational database
  • B. Allows you to define a structure for your unstructured Big Data
  • C. Useful for data analysts familiar with SQL who need to do ad-hoc queries
  • D. Offers real-time queries and row level updates
Reveal Solution  Discussion  0

Correct Answer: B,C  🗳️

You want to run Hadoop jobs on your development workstation for testing before you submit them to your
production cluster. Which mode of operation in Hadoop allows you to most closely simulate a production
cluster while using a single machine?

  • A. Run all the nodes in your production cluster as virtual machines on your development workstation.
  • B. Run the hadoop command with the -jt local and the -fs file:///options.
  • C. Run simldooop, the Apache open-source software for simulating Hadoop clusters.
  • D. Run the DataNode, TaskTracker, NameNode and JobTracker daemons on a single machine.
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Given the following Hive commands:

Which one of the following statements Is true?

  • A. The file mydata.txt is copied to a subfolder of /apps/hive/warehouse
  • B. The file mydata.txt is moved to a subfolder of /apps/hive/warehouse
  • C. The file mydata.txt is copied into Hive's underlying relational database 0.
  • D. The file mydata.txt does not move from Its current location in HDFS
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Which describes how a client reads a file from HDFS?

  • A. The client contacts the NameNode for the block location(s). The NameNode then queries the
    DataNodes for block locations. The DataNodes respond to the NameNode, and the NameNode redirects
    the client to the DataNode that holds the requested data block(s). The client then reads the data directly
    off the DataNode.
  • B. The client queries all DataNodes in parallel. The DataNode that contains the requested data responds
    directly to the client. The client reads the data directly off the DataNode.
  • C. The client contacts the NameNode for the block location(s). The NameNode contacts the DataNode
    that holds the requested data block. Data is transferred from the DataNode to the NameNode, and then
    from the NameNode to the client.
  • D. The client queries the NameNode for the block location(s). The NameNode returns the block location(s)
    to the client. The client reads the data directory off the DataNode(s).
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

You want to Ingest log files Into HDFS, which tool would you use?

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

Correct Answer: A  🗳️

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