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What is Implementation Essentials 1z0-435 Certification Exam and Retake policy

Oracle Certification can help you gain a competitive advantage by developing a skill set that's in demand, worldwide. You will get to join the 80% of Oracle certification holders who reported a promotion, salary increase or other career improvements. It will give you access to secure digital badge that you can add to your social media profiles.

Cloud Certification for Oracle credentials are valid for a period of 18 months from the date you earn the credential. The credential will become inactive at the end of 18 months. Oracle requires candidates to hold an active credential in order to access certain certification benefits including, without limitation, use of Oracle certification logos, e-Certificates, score reports, digital badges and certification verification.

All the candidates must wait 14 days before retaking a failed proctored exam. (Registration will be allowed on the 14th day). Candidates may not retake a passed exam at any time and may not retake a beta exam at any time. Also, candidates are only allowed 4 attempts to pass an exam in a 12-month period.

Oracle certifications need a periodic recertification in order for Oracle to recognize them as active. For this, you must upgrade to a current version within twelve (12) months following Oracle's credential retirement to keep your certification in active status so that you can have access to certain certification benefits including, without limitation, use of Oracle certification logos, eCertificates, score reports, digital badges and certification verification.

Understanding functional and technical aspects of Oracle Big Data 2017 Certification Implementation Specialist Certification Exam 1z0-449 Oracle Data Integrator (ODI) and Hadoop

The following will be discussed here:

• Explain the business drivers behind Big Data and NoSQL versus Hadoop Core Hadoop - Explain the Hadoop Ecosystem
• Use ODI to transform data from Hive to Hive
• Perform a simple Xquery using Oracle XQuery for Hadoop
• Xquery for Hadoop Connector
• Describe the architectural components of MapReduce
• Describe how Big Data Appliance integrates with Exadata and Exalytics
• Use ODI to move data from Hive to Oracle
• Set up Oracle Xquery for Hadoop connector
• Describe the differences between MapReduce and YARN
• Configure the Oracle Data Integrator with Application Adaptor for Hadoop to interact with Hadoop
• Implement the data flow mechanism used in Flume
• Big Data Technical Overview - Describe the architectural components of the Big Data Appliance
• Use Oracle Xquery with Hadoop-Hive to map an XML file into a Hive table
• Implement the Hadoop Distributed File System
• Identify and architect the services that run on each node in the Big Data Appliance, as it expands from single to multiple nodes
• Describe the importance of Namenode, Datanode, JobTracker, TaskTracker in Hadoop
• Describe Hadoop High Availability
• Describe the Big Data Discovery and Big Data Spatial and Graph solutions
• Use ODI to move data from an Oracle database to a Hadoop Distributed File System using sqoop
• Use Flume in the Hadoop Distributed File System
• Oracle Data Integrator (ODI) and Hadoop
• Identify the benefits of the Hadoop Distributed File System (HDFS)

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

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