Oracle Big Data 2017 Implementation Essentials 1z1-449 Certified Exam Dumps

1z1-449 Exam Dumps

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Certification Provider: Oracle
Exam Code / Number: 1z1-449
Exam Name: Oracle Big Data 2017 Implementation Essentials
Exam Questions: 72
Last Updated: Jun 26, 2026
Corresponding Certification: Oracle Big Data Appliance

Go To 1z1-449 Questions

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Difficulty in Attempting Oracle Big Data 2017 Certification Implementation Specialist Certification Exam 1z0-449

If the user has successfully passed the 1Z0-449 practice exam and has been through 1Z0-449 exam dumps then the certification exam will not be too much difficult as the user has shown aptitude for understanding complicated processes.

Oracle 1z1-449 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Demonstrate Big Data SQL syntax used in create table statements
  • Implement the Oracle Table Access for a Hadoop Connector
Topic 2
  • Use LDAP and the Active directory for Hadoop access control
  • Describe the architectural components of the Big Data Appliance
Topic 3
  • Describe the importance of Namenode, Datanode, JobTracker, TaskTracker in Hadoop
  • Describe the differences between MapReduce and YARN
Topic 4
  • Integrate an Oracle NoSQL database with an Oracle database and Hadoop
  • Describe how Big Data Appliance integrates with Exadata and Exalytics
Topic 5
  • Describe the Oracle R Advanced Analytics for a Hadoop connector
  • Implement the data flow mechanism used in Flume
Topic 6
  • Describe Oracle Big Data Appliance security and encryption features
  • Implement the Hadoop Distributed File System
Topic 7
  • Describe the Big Data Discovery and Big Data Spatial and Graph solutions
  • Implement an Oracle Database connection with Oracle R Enterprise

Reference: https://education.oracle.com/oracle-big-data-2017-implementation-essentials/pexam_1Z0-449

Understanding functional and technical aspects of Oracle Big Data 2017 Certification Implementation Specialist Certification Exam 1z0-449 Core Hadoop

The following will be discussed here:

  • Load Hadoop Distributed File System Data into an Oracle database
  • Describe the Hive architecture
  • Implement the Oracle Table Access for a Hadoop Connector
  • Explain the Oracle Loader for Hadoop
  • Describe Hadoop High Availability
  • Explain the Hadoop Ecosystem
  • Cloudera Enterprise Hadoop Distribution
  • Implement the Hadoop Distributed File System
  • Core Hadoop
  • Execute a Hive query
  • Oracle Loader for Hadoop
  • Identify the benefits of the Hadoop Distributed File System (HDFS)
  • Create a database and table from a Hadoop Distributed File System file in Hive
  • Describe the importance of Namenode, Datanode, JobTracker, TaskTracker in Hadoop
  • Describe the architectural components of MapReduce
  • Configure the online and offline options for the Oracle Loader for Hadoop
  • Set up Hive with formatters and SerDe
  • Move data from a database to a Hadoop Distributed File System using Sqoop
  • Use Pig Latin to query data in HDFS
  • Describe the differences between MapReduce and YARN
  • Describe the Impala real-time query and explain how it differs from Hive
  • Implement the data flow mechanism used in Flume
  • Use Flume in the Hadoop Distributed File System

Understanding functional and technical aspects of Oracle Big Data 2017 Certification Implementation Specialist Certification Exam 1z0-449 Oracle NoSQL Database

The following will be discussed here:

  • Programming with R
  • Use an Oracle NoSQL database
  • Use KVLite to test NoSQL applications
  • Use Oracle R Advanced Analytics for a Hadoop connector
  • Describe the Oracle SQL Connector for Hadoop Connector
  • Configure an external table for HDFS using the Oracle SQL Connector for Hadoop
  • Oracle SQL Connector for Hadoop Distributed File System (HDFS)
  • Set up the KVStore
  • Install the Oracle SQL Connector for Hadoop
  • Describe the architectural components (Shard, Replica, Master) of the Oracle NoSQL database
  • Integrate an Oracle NoSQL database with an Oracle database and Hadoop
  • Implement an Oracle Database connection with Oracle R Enterprise
  • Describe the architectural components of Oracle R Advanced Analytics for Hadoop
  • Oracle NoSQL Database
  • Describe the Oracle R Advanced Analytics for a Hadoop connector


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