Oracle Analytics Cloud 2025 Professional is capable of implementing Oracle Analytics Cloud. They have the knowledge required to perform provisioning, build dimensional models, and create data visualizations. They can use Advanced Analytics capabilities and create a machine learning model. They understand and use the various augmented capabilities available with Oracle Analytics Cloud. They will also learn to use the various mobile applications available with Oracle Analytics Cloud Subscription.
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Oracle Analytics Cloud 2025 Professional is capable of implementing Oracle Analytics Cloud. They have the knowledge required to perform provisioning, build dimensional models, and create data visualizations. They can use Advanced Analytics capabilities and create a machine learning model. They understand and use the various augmented capabilities available with Oracle Analytics Cloud. They will also learn to use the various mobile applications available with Oracle Analytics Cloud Subscription.
Oracle Analytics Cloud (OAC) 2025 professional certification covers multiple key areas, from platform deployment, data modeling, visual analysis, to advanced analysis and machine learning, and comprehensively examines candidates' application capabilities on enterprise-level data analysis platforms. Candidates need to master the overall solution of OAC, be able to complete instance creation and lifecycle management, user and application role configuration, and understand how to migrate from traditional OBIEE systems to OAC or OAS. In terms of data modeling, candidates should be familiar with the difference between transaction systems and analytical systems, understand the dimensions, facts and hierarchical relationships in the data warehouse structure, and be able to use OAC's data preparation tools to clean, transform and orchestrate data, including the use of data flows, data gateways and connections with ADW/ATP. At the visualization level, candidates need to have the ability to create a variety of charts using self-service analysis, understand the pros and cons of chart selection, layout design, conditional formatting, map layer configuration, search and BI Ask functions, and be able to tell data stories and use functions such as Watchlist for display and grouping. The advanced analysis section requires candidates to be able to perform complex calculations in the expression editor, call the OCI language AI sentiment analysis service, use the Explain function to deeply understand the data, or build and analyze machine learning models in workbooks, and even register and apply ML models on the database side. In terms of reports and dashboards, you need to master the use of BI Analysis and BI Publisher, including report design, content management, navigation and data trigger actions, and be able to model semantic models. The security and performance section requires understanding the security architecture of OAC, managing permissions, optimizing query logs, configuring custom access URLs, localized interfaces, and using OCI log services to analyze system usage. Passing this certification means having the ability to deploy, manage, and fully utilize Oracle Analytics Cloud in an enterprise environment for efficient data analysis.
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