AI S01 Quiz (24-Oct-26)

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Question 1 of 10

1. Question
10 point(s)

An Oracle Fusion customer has modules for HCM, Finance, and Procurement. Their developer learns AI Agent Studio concepts while building an HCM use case. Can they apply the same concepts to build agents for Finance and Procurement?

No — each Fusion pillar has its own separate version of AI Agent Studio with different tools, node types, and building blocks
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Partially — workflow concepts are shared, but connectors and business objects must be rebuilt from scratch for each pillar
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Yes — AI Agent Studio is completely pillar independent; the concepts, node types, building blocks, and tools remain the same regardless of which Fusion module (HCM, SCM, Finance, CX, Procurement) the agent is built for
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Only if the developer holds a pillar-specific admin role — without it, cross-pillar development is blocked at the UI level
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Question 2 of 10

2. Question
10 point(s)

A customer’s implementation team is budgeting for Oracle AI Agent Studio usage. What is the current free AI unit allocation included with every Oracle Fusion Cloud subscription, and how is it measured?

20,000 AI units per month — this is the standard allocation that has been in place since AI Agent Studio launched
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50,000 AI units per quarter — allocated per business unit
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30,000 AI units per week — this was recently updated from the earlier allocation of 20,000 AI units per month; every agent execution consumes AI units based on the processing performed
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10,000 AI units per day — shared across all active agents in the instance simultaneously
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Question 3 of 10

3. Question
10 point(s)

A business analyst notices that Oracle Fusion already has hundreds of pre-existing AI agents available across applications. A consultant wants to build a custom agent to read a company-specific policy document and answer questions. Which layer does each fall into?

Both are custom agents — all agents in Oracle Fusion, whether seeded or newly created, fall under the custom agent category
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The pre-existing agents are "legacy agents" from the old Fusion UI; the new ones built in AI Agent Studio are "modern agents"
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Pre-existing agents delivered by Oracle are built-in/embedded agents (1,000+ across all modules); the policy-reading agent is a custom agent — both are built and accessible within the same AI Agent Studio interface
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Pre-existing agents are managed through a separate "Oracle Agent Console" and cannot be seen or modified through AI Agent Studio
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Question 4 of 10

4. Question
10 point(s)

A customer asks why Oracle’s own delivered/seeded agents look and behave the same as the custom agents they are building. What is the correct explanation?

Seeded agents are built using a proprietary internal Oracle IDE and then exported to the customer-facing UI — the similarity is coincidental
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Oracle developers have access to a hidden "developer edition" of AI Agent Studio with additional options; customers see a simplified version
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Oracle's own development teams build the delivered/seeded agents using the exact same AI Agent Studio user interface that customers use — there is no separate internal tool; both groups build in the same platform
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Seeded agents are generated entirely by machine learning models and are not manually built by Oracle developers in any UI
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Question 5 of 10

5. Question
10 point(s)

A consultant has just provisioned a new Oracle Fusion environment and wants to start using AI Agent Studio. They create a user and assign all the required roles, but the agent studio features are still not working. What critical prerequisite step was most likely missed?

The consultant must first publish a test agent and run it once — the system activates AI features only after a first successful agent execution
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AI Agent Studio requires a separate licence activation request to Oracle Support before any features become available
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The "Enable Security Console External Application Integration" (ORA_ASE_SAS_INTEGRATION_ENABLED) profile option must be set to Yes at the Site level in Setup and Maintenance — without this, AI Agent Studio will not function even if all roles are correctly assigned
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The consultant must upgrade the Fusion environment to the latest quarterly update — AI Agent Studio is only available from a specific quarterly release onwards
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Question 6 of 10

6. Question
10 point(s)

A security administrator creates a custom job role in the Oracle Security Console for AI Agent Studio access. They add all the required functional privileges and duty roles, but users assigned to this role still cannot access AI Agent Studio properly. What is the most likely cause?

The role must be created as a "Data Role" category — common job roles are not supported for AI Agent Studio access
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The administrator added duty roles before adding functional privileges — the order of operations matters and causes the role to malfunction
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The "Enable Permission Groups" checkbox was not selected when creating the custom role — this is a mandatory step for any AI Agent Studio role; without it, the role will not work as expected regardless of what other privileges are added
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The custom role must be assigned to at least 10 users before Oracle activates it — single-user role assignments are blocked for AI features
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Question 7 of 10

7. Question
10 point(s)

After enabling the AI Agent Studio profile option and creating a user with the required custom role, a consultant is told to run the two security import scheduled processes. A colleague suggests running them at the same time to save time. What does Oracle’s documentation recommend, and why?

Running them simultaneously is recommended — parallel execution is faster and both processes are fully independent with no shared data
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The two processes must be run in alphabetical order only — running "Import Resource" before "Import User Role" will cause a conflict
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The two processes must be run one after the other (sequentially), not in parallel — run "Import Resource Application Security Data" first, then "Import User and Role Application Security Data"; running them simultaneously during a first-time setup can cause synchronisation issues
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Only one of the two processes is needed for AI Agent Studio; running both is a common mistake that creates duplicate security records
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Question 8 of 10

8. Question
10 point(s)

A company has built a custom AI agent that retrieves sensitive AP invoice data. They want only AP managers to access this agent — AP specialists should not be able to see or run it. Where is this restriction configured in Oracle AI Agent Studio?

In the Oracle Security Console only — agent-level access cannot be controlled within AI Agent Studio itself
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In the Fusion user's profile settings — each user must manually subscribe to the agents they are permitted to use
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Within the agent itself — each workflow agent has a Security tab where specific roles can be assigned; only users holding those roles will be able to see and run the agent; leaving it open makes it accessible to all users with the general chat privilege
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In the Oracle Identity Cloud Service (IDCS) — AI agent access is controlled at the identity provider level, not within Fusion applications
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Question 9 of 10

9. Question
10 point(s)

An AP specialist has been given access to an AI agent that retrieves supplier invoice details. However, the AP specialist does not have the underlying Fusion data role that grants access to supplier master data. When the AP specialist asks the agent “List all invoices for supplier ABC,” what will happen?

The agent will retrieve and display the supplier invoice data because agents have elevated system-level access that overrides user-level data restrictions
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The agent will ask the AP specialist to enter their admin credentials to temporarily elevate their access for that specific query
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The agent will return no results or respond with something like "I don't find any information" — AI agents in Oracle Fusion do not bypass the platform's role-based data security; if the user lacks the underlying data access role, the agent cannot retrieve that data on their behalf
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The agent will display the data but log a security violation in the audit trail for administrator review
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Question 10 of 10

10. Question
10 point(s)

Oracle Agent Compiler — it converts English sentences into Python scripts that are then compiled into agent code
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Fusion Natural Language Mapper — it translates text into Fusion REST API calls that populate a pre-defined agent template
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AI Assist (also called "Ask Oracle") — a built-in AI assistant within AI Agent Studio that interprets natural language prompts, searches existing components and directories for required building blocks, and creates the entire agent flow automatically; minimal or no manual coding is required
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Oracle Agent Recorder — it records the trainer's on-screen actions and replays them to build an identical agent in a different environment
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