By Exam Number: 1Z0-928
Exam Title: Oracle Cloud Platform Big Data Management 2018 Associate
Associated Certification Paths Oracle Cloud Platform Big Data Management 2018 Certified Associate
Duration: 100
Number of Questions: 66
Passing Score: 68%
View passing score policy
Validated Against:
Format: Multiple Choice
Complete Recommended Training
Big Data Fundamentals
Oracle Data Management Learning Subscription
Additional Preparation and Information
A combination of Oracle training and hands-on experience (attained via labs and/or field experience) provides the best preparation for passing the exam.
Our certification exams are revised regularly to align with training and product release updates. Information about exam revisions and new topics are found on this page under ‘Validated Statement’ and within the exam topics below. Certifications reflect validated skills for year and product release version date of achievement. If you are preparing for this exam, we recommend you check these topics periodically to ensure your exam prep covers any new topics that may be added based on regular exam revision.
Fundamentals of Big Data
Describe the functionality of Map Reduce and Spark
Describe the characteistics of the HDFS (Hadoop File System)
Describe the function of YARN (Yet Another Resource Negotiator)
Idenify when to use HDFS, NOSQL and RDBMS (Relational Database Management System) for Big Data
Oracle Solutions and Services for Big Data Needs (BDC)
Identify the Big Data Cloud components
Describe the principle architectures of BDC
Describe BDC Deployment Options
Describe BDC Integration with Oracle PaaS/IaaS
Identify the steps in a BDC Management Life Cycle
Create a multimode cluster and explore demo notebooks
Describe abiltiy to customize BDC Clusters
Oracle Solutions and Services for Big Data Needs (BDCS)
Identify the operating system user you will be in order to access your nodes
Describe the type of nodes you can create and add to a cluster
Identify the component for providing dynamic high performance resource in Big Data Cloud Service
Describe the characteristics of a node in Big Data Cloud Service
Identify the utility use to execute commands to the servers in Big Data Cloud Service
Implement network access to Big Data Cloud Service
Data Streaming Platform
Identify various type of EHCS (Event Hub Cloud Service) deployments in Oracle Cloud
Identify business solutions using EHCS
Integrate EHCS with BDC and Oracle PaaS
Describe EHCS Deployment Options
Oracle Big Data Security
Implement Authentication using Kerboros
Implement Authorization using Sentry (BDCS)
Identify the options for encrypting Hadoop
Identify the security components of Big Data Cloud Service
Identify the principals created to authenticate access to Big Data Cloud Service
Big Data Cloud Integration
Describe the features of Scoop and Flume
Identify the current Big Data connectors to integrate to Oracle data products
Describe and use the utility use to copy large files into your Big Data Cloud Service
Describe Oracle Big Data Connectors and their functionalities
Use BDC Connectors, Oracle R Advanced Analytics for Hadoop (ORAAH), Spatial & Graph
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