1Z0-1041-25 Oracle Analytics Cloud 2025 Professional

Ace the 1Z0-1041-25 Oracle Analytics Cloud (OAC) 2025 Professional Certification Exam with our comprehensive Real-Time Test Questions! Our practice tests are built around authentic questions mirroring the format and difficulty of the actual exam. Developed by experts with firsthand experience taking these exams, each question is meticulously crafted to align with the official exam content. Boost your confidence and pass on your first attempt by mastering the exam structure and key concepts.

Oracle Analytics Cloud (OAC) Fundamentals

• OAC Overview: Gain a solid understanding of Oracle Analytics Cloud solutions and their capabilities.
• Provisioning & Lifecycle: Learn how to provision and manage Oracle Analytics Cloud instances, including lifecycle management.
• User & Role Management: Master provisioning users and assigning appropriate OAC application roles.
• OBIEE to OAC Migration: Understand migration options from Oracle Business Intelligence Enterprise Edition (OBIEE) to OAC and Oracle Analytics Server (OAS).
• Data Modeling: Explore data modeling concepts including transactional systems, analytical systems, data warehousing, dimensions, facts, and hierarchies.

Data Visualization & Self-Service Analytics

• Creating Visualizations: Develop compelling visualizations using OAC.
• Best Visualization Practices: Identify and apply the principles of creating effective visualizations for various datasets.
• Brushing Techniques: Understand the advantages and disadvantages of using brushing for data visualization.
• Flexible Layouts: Design flexible layouts to present data as a cohesive story.
• Data Storytelling: Utilize OAC to effectively present data narratives.
• Custom Visualizations: Import custom visualization plugins to enhance your analysis.
• Search & BI Ask: Leverage Search and BI Ask for rapid visual creation.
• Map Visualization: Configure map layers and backgrounds for impactful map visualizations.
• Auto Insights & Insight Settings: Visualize data using Auto Insights and customize insight settings.
• Conditional Formatting: Format visuals using conditional formatting for enhanced data presentation.
• Workbooks & Sharing: Create parameters in OAC Workbooks and share them via email schedules.
• Watchlists & Grouping: Group visuals using watchlists for focused analysis.
• Analytics View Source: Create a Viz based on Analytics View Source.

Advanced OAC Capabilities

• Custom Knowledge: Add custom knowledge for data enrichment.
• Canvas Properties: Evaluate time series data using Time Series Calculations and understand Canvas Properties.
• Vanity URLs: Deploy a vanity URL for easy access to your analytics.
• Localization: Localize the user interface for data visualization.
• OAC Administration: Administer OAC instances using the Console.
• Sharing & Connections: Share connections, datasets, and workbooks within Oracle Analytics.
• Custom Aggregation: Perform custom aggregation using the Grammar Panel and Calculation.
• API Integration: Utilize APIs with Oracle Analytics.

Data Preparation & Advanced Analytics

• Self-Service Data Preparation: Describe and leverage self-service data preparation features in OAC.
• Data Flows: Perform operations on datasets using Data Flows.
• OAC Data Gateway: Understand and utilize the OAC Data Gateway.
• Data Set Curation: Curate datasets using Data Flows.
• ADW/ATP Connections: Establish connections to Oracle Analytics Cloud using ADW or ATP.
• Function Shipping: Understand Function Shipping with ADW.
• Data Import: Import data from Oracle Applications Connector and EPM Connector.
• Advanced Analytics: Leverage advanced analytics capabilities within OAC.
• Expression Editor: Perform advanced calculations inside the Expression Editor.
• Advanced Functions: Create and utilize advanced analytics functions.
• OCI Language AI Sentiment Analysis: Leverage OCI Language AI Sentiment Analysis in Oracle Analytics.
• Data Gateway Channels: Differentiate between Private Access Channel and Remote Data Gateway.
• Content Embedding: Embed Oracle Analytics content in other applications.
• Explain Functionality: Utilize the Explain functionality and settings for query optimization.

Machine Learning & Reporting

• Machine Learning in OAC: Create, train, and analyze machine learning models in OAC.
• ML Scenarios: Use ML scenarios within Workbooks.
• Database ML Models: Register and apply Oracle Database Machine Learning Models.
• Oracle BI Answers, Dashboards & BI Publisher: Build reports using Oracle BI Answers, Dashboards, and BI Publisher.
• Catalog Management: Design OA Publisher reports and manage content within the Catalog.
• **Prompts, Dashboards