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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.

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

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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:

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

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