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

ORACLE Question & Answer
SAP

Last Updated

05 June 2026

Rating

4.7 (2160)

Exam Code: 1Z0-1035-24
Exam Name: Oracle Intelligent Advisor 2024 Implementation Professional

Passing Score: 68%
Duration: 90 Minute

ALL ITprep Provides 100% Valid ORACLE Exam Questions and answers which can helps you to Pass Your Certification Exam in First Attempt.

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  • Total Questions in Exams: 50
  • Total Questions in Dumps: 50

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Course Description
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
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

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10 reviews for Oracle Intelligent Advisor 2024 Implementation Professional

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