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1Z0-1041-25 Oracle Analytics Cloud 2025 Professional

Ace the Oracle Analytics Cloud 2025 exam! Practice with 6 full exams for the 1Z0-1041-25 certification. Boost your skills & pass with confidence.

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Mohammed Abdelkarim
Mohammed AbdelkarimAnalytics Manager

Course Content

1Z0-1041-25 Oracle Analytics Cloud 2025 Professional is an intermediate-level Udemy course taught by Mohammed Abdelkarim. It is taught in English and includes a certificate of completion. Learners rate it 4.0 out of 5 from 216 reviews, with 1,135 students enrolled. It is a paid course, last updated May 2025.

Sharpen your skills for the 1Z0-1041-25 Oracle Analytics Cloud 2025 Professional exam with our comprehensive practice test course! This resource is designed to help you confidently navigate the certification.

Master Key Exam Domains:

  • Oracle Analytics Cloud (OAC) Overview: Gain a solid understanding of OAC solutions and its capabilities.
  • Provisioning & Lifecycle Management: Learn to provision and manage Oracle Analytics Cloud instances, ensuring smooth operations.
  • User & Role Management: Understand how to provision users and manage application roles within OAC.
  • OBIEE to OAC/OAS Migration: Explore migration strategies from Oracle Business Intelligence Enterprise Edition (OBIEE) to Oracle Analytics Cloud (OAC) and Oracle Analytics Server (OAS).
  • Data Modeling: Deepen your understanding of data modeling concepts, including transactional systems, analytical systems, data warehousing, dimensions, facts, and hierarchies.
  • Data Visualization with Self-Service Analytics:
    • Create compelling visualizations using OAC.
    • Develop effective visualizations for diverse datasets.
    • Understand the pros and cons of brushing techniques.
    • Design flexible layouts for storytelling with data.
    • Utilize OAC to present data narratives.
    • Import custom visualization plugins.
    • Leverage Search and BI Ask for visual insights.
    • Configure map layers and backgrounds.
    • Employ Auto Insights and Insight Settings for data visualization.
    • Format visuals with conditional formatting.
    • Create parameters in OAC Workbooks.
    • Share workbooks using email schedules.
    • Group visuals using watchlists.
    • Build visuals based on Analytics View sources.
    • Add custom knowledge for data enrichment.
  • Canvas & Time Series Analysis:
    • Apply Canvas properties for optimal presentation.
    • Evaluate time series data using Time Series Calculations.
    • Deploy vanity URLs for easy access.
    • Localize the user interface for global usability.
  • OAC Administration:
    • Administer OAC instances through the console.
    • Share connections, datasets, and workbooks.
    • Perform custom aggregation using the Grammar Panel and Calculation.
    • Utilize APIs with Oracle Analytics.
  • Data Preparation with Oracle Analytics:
    • Prepare data effectively using self-service data preparation tools.
    • Perform operations on datasets.
    • Understand the role of Sequence in OAC data preparation.
    • Utilize OAC Data Gateway.
    • Curate datasets using Data Flows.
    • Connect to ADW or ATP using OAC.
    • Leverage Function Shipping with ADW.
    • Import data from Oracle Applications Connector and EPM Connector.
  • Advanced Analytics with Oracle Analytics:
    • Leverage advanced analytics capabilities within OAC.
    • Perform advanced calculations using the Expression Editor.
    • Create advanced analytics functions.
    • Utilize OCI Language AI Sentiment Analysis.
    • Differentiate between Private Access Channel and Remote Data Gateway.
    • Embed Oracle Analytics content in other applications.
    • Utilize the Explain functionality and settings.
  • Machine Learning with Oracle Analytics:
    • Create, train, and analyze machine learning models in OAC.
    • Apply ML scenarios within Workbooks.
    • Register and apply Oracle Database Machine Learning Models.
  • Reporting & Publishing:
    • Build reports using Oracle BI Analysis.
    • Design OA Publisher reports.
    • Manage content within the Catalog.
    • Create prompts, dashboards, and calculations.
  • Security & Performance:
    • Analyze and optimize Oracle Analytics query logs.
    • Analyze OA usage and diagnostic logs using OCI Logging.
    • Understand the fundamentals of Oracle Analytics Cloud Security.
    • Modify security access of OAC artifacts.
  • Mobile & Data Actions:
    • Analyze data using OAC Mobile and Day by Day.
    • Navigate from data visualization into OA Publisher Reports using Data Actions.
    • Explain the use of Bursting OA Publisher Reports.
  • Semantic Modeling: Model data effectively using Semantic Modeler.

Important: This course is a practice test and not an exam dump. While questions may resemble those on the actual exam, its primary goal is to enhance your preparation and boost your confidence.

Prepare effectively and achieve your Oracle Analytics Cloud 2025 Professional certification!

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