Oracle Intelligent Advisor 2024 Implementation Professional (1Z0-1035-24)

Course Description

Prepare to pass exam: Oracle Intelligent Advisor 2024 Implementation Professional

Exam topics covered  

Understanding Rules/User Interface in Intelligent Advisor (IA)

• Describe a policy modeling project and key Intelligent Advisor components
  
• Describe options for running and testing a policy model

Writing Attributes and Attribute Text

• Define variable attributes and use them in logical comparisons
  
• Explain the appropriate use of value lists in attributes
• Construct boolean and non-boolean attributes from difficult source material
• Define appropriate attribute phrasing and reparsing scenarios

Writing Rules and Negations

• Identify the various components of a rule and verify how rules are linked
  
• Identify the appropriate styles for writing rules
• Validate and check rules
• Explain how to avoid using multiple conclusions

Constructing Conclusions and Conditions

• Identify conclusions and conditions in source material
  
• Use tables for rules with MS Word and MS Excel
• Analyze networks of rules including attribute levels

Grouping Operators and Intermediate Attributes

• Explain the correct use of AND and OR in the same rule using a grouping operator
  
• Write more complex rules in MS Word by grouping words or phrases

Using Comparisons and Calculations in Rules

• Compare one attribute to another attribute as a condition of a rule
  
• Use functions in the rule conclusion
• Perform calculations in a rule using complex expressions

Defining Entities and Relationships

• Define entities, entity-level attributes, and entity relationships
  

Using Entities and Reasoning with Entities

• Model entity rules from source material
  
• Identify reasoning from one entity to another
• Create rules that use relationships/infer entities
• Use built-in entity functions in rules

Testing Rules

• Create and save basic test cases
  
• Test entities/relationships and interviews in the debugger

Creating Interviews

• Create a basic interview
  
• Control the interactions on and between screens
• Create interview screens that collect entity instances and entity-level data

Enhancing Interviews

• Explain the purpose and use of goals and checkpoints in an interview
  
• Use controls for creating Interview screens including conditional logic
• Describe how policy models can be used in other languages

Performing Data Validation

• Prevent or warn a user from entering invalid data or combinations of data based on inferred logic
  

Using Explanations, Audit Reports, and Forms

• Differentiate explanations and audit reports
  

Deploying Intelligent Advisor Hub

• Administer users, deployments, and projects on the Intelligent Advisor Hub
  
• Deploy and update projects on the Hub from Policy Modeler

Setting up Data Mapping, Integration, Connector Framework, and Mobile

• Set up data mappings for a B2C Service interview
  
• Automate decisions with a web service
• Explain the features of Intelligent Advisor mobile applications and related APIs

Embedding an Interview in Customer Portal, Agent Desktop, BUI, and Chat

• Embed an interview in Customer Portal, Agent Desktop, BUI, and Chat
  

Collaborating on Projects

• Use collaboration features on team projects
  

Creating Hub Projects

• Create Hub Projects, Decision Services, and Flows
  

Using AI Capabilities in Intelligent Advisor

• Understand how to leverage Oracle’s pervasive AI approach in Oracle Cloud Applications
  
• Describe the integration and application of AI within the Oracle CX ecosystem
• Use AI to assist authoring in Fusion Interviews