Oracle
Analytics Cloud (OAC)
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Describe and Create Oracle Analytic Cloud Solutions.
Oracle
Analytics Cloud Provisioning and Lifecycle
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Provision Users and Application Roles
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Explain Migration Options to OAC and OAS
Modeling
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Explain Transactional System, Analytical Systems, Data Warehousing,
Dimension, Facts and Hierarchies
Data
Visualization
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Explain OAC 'best visualization' for a data set
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Describe brushing and its benefits
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Create a flexible layout of multiple visualizations to present data as a
story
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Use OAC to present your data as a story
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Import a custom visualization plugin
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Use Search and BI Ask.
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Use Map Layers & Map Backgrounds
Data
Preparation
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Describe self service data preparation
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Perform operations on a data set
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Describe 'sequence' in the context of OAC data preparation
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Explain the OAC Data Gateway
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Use Data Flows to curate a Data Set
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Create Connection ADW or ATP
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Describe using Function Shipping with ADW
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Using Oracle Applications Connector and EPM Connector
Advanced
Analytics
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Describe the Advanced Analytics capabilities in OAC
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Explain Advanced Calculations inside Expression Editor
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Create Advanced Analytics Functions
Machine
Learning
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Use the 'Explain' functionality
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Create and train a machine learning model, analyze its effectiveness and
use it in a project
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Use an ML scenario in a project
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Register and apply Oracle Database Machine Learning Models
Oracle
Analytics Cloud Answers, Dashboards and BI Publisher
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Use Oracle BI Analysis to build a report
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Design Pixel Perfect Reports
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Manage content in the Catalog
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Create Prompts, Dashboards and Calculations
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Administer Analysis, Dashboards and Reports
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Use OAC Mobile and Day by Day
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Navigate from a Data Visualization into a Publisher Report using Data
Actions
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Bursting Pixel Perfect Reports and using Data Sets