Oracle Analytics Cloud 2024 Professional {1Z0-1041-24} Questions

Oracle Analytics Cloud (OAC) Overview        

• Explain Oracle Analytics Cloud solutions

Provisioning Oracle Analytics Cloud Instances and Lifecycle        

• Provision Users and OAC Application Roles
• Explain migration options from OBIEE to OAC and OAS

Understanding Data Modelling     

• Explain transactional system, analytical systems, data warehousing, dimensions, facts, and hierarchies

Visualizing Data with Self Service Analytics     

• Create visualizations using OAC Create Best Visualization for a data set
• Identify merits and demerits of brushing for visualizing data
• Create a flexible layout of multiple visualizations to present data as a story
• Use OAC to present your data as a story
• Import a custom visualization plugin
• Use Search and BI Ask for creating visuals
• Configure Map Layers and Map Backgrounds for visualizing maps
• Visualize data using Auto Insights and Insight Settings
• Format visuals using Conditional Formatting
• Create parameters in OAC Workbooks
• Share workbooks using Email Schedules
• Group visuals using Watchlists
• Create a Viz based on Analytics View Source
• Add Custom Knowledge for data enrichment
• Explain Canvas Properties
• Evaluate time series using Time Series Calculations
• Deploy a vanity URL for Oracle Analytics
• Localize the user interface for data visualization
• Administer OAC instances using Console
• Share connections, data sets, workbooks in Oracle Analytics
• Perform custom aggregation using Grammar Panel and Calculation
• Use API's with Oracle Analytics

Prepare your data with Oracle Analytics    

• Describe self service data preparation
• Perform operations on a data set
• Describe Sequence in the context of OAC data preparation
• Explain OAC Data Gateway
• Curate a data set using Data Flows
• Create a connection to ADW or ATP using OAC
• Describe Function Shipping with ADW
• Import data from Oracle Applications Connector and EPM Connector to OAC

Leveraging Advanced Analytics with Oracle Analytics    

• Leverage the advanced analytics capabilities in OAC
• Perform advanced calculations inside Expression Editor
• Create advanced analytics functions
• Leverage OCI Language AI Sentiment Analysis in Oracle Analytics
• Differentiate between Private Access Channel and Remote Data Gateway
• Embed Oracle Analytics content in other applications
• Use the Explain functionality and settings

Machine Learning with Oracle Analytics     

• Create, train, and analyze a machine learning model in OAC
• Use an ML scenario in Workbook
• Register and apply Oracle Database Machine Learning Models

Using Oracle Analytics Cloud Answers, Dashboards and BI Publisher    

• Build a report using Oracle BI Analysis
• Design OA Publisher reports
• Manage content in Catalog
• Create prompts, dashboards, and calculations
• Administer Analysis, Dashboard, and Reports
• Analyze data using OAC Mobile and Day by Day
• Navigate from Data Visualization into OA Publisher Report using Data Actions
• Explain the use of Bursting OA Publisher Reports
• Model data with Semantic Modeler

Security and Performance Considerations in Oracle Analytics     

• Analyze and optimize Oracle Analytics query logs
• Analyze OA usage and diagnostic logs using the OCI Logging service
• Explain the fundamentals of Oracle Analytics Cloud Security
• Modify security access of OAC artifacts