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IT Certifications · 1Z0-1145-2

Oracle Fusion AI Agent Studio Foundations Associate - Rel 26-2 Exam Practice Test

This practice page focuses on foundational AI agent design and operation in Oracle Fusion AI Agent Studio. Its question bank uses scenarios involving agent configuration, callable capabilities, workflow sequencing, input handling, response quality, and diagnostics. These concepts support work such as shaping an agent’s behavior, checking its interactions with application functions, and investigating failures.

Exam overview

Exam providerOracle
Exam code1Z0-1145-2
CategoryIT Certifications

About the Oracle Fusion AI Agent Studio Foundations Associate - Rel 26-2 Exam

The available scenarios emphasize separating an agent’s overall configuration from the capabilities it can invoke, and making workflow steps explicit so actions occur in the required order. They also exercise practical judgment about confirming required inputs before creating records, diagnosing missing parameters, and recording useful error details without exposing unnecessary sensitive data. Other scenarios address configuration versioning and controlled promotion between environments, as well as evaluating response changes after an update. Date and locale handling appears as a design consideration when an agent communicates user-supplied information. Together, these topics connect agent setup with operational tasks: testing behavior, tracing capability failures, comparing configuration changes, and maintaining predictable interactions with business applications. The question signals describe practice-bank vocabulary, not confirmed exam domains.

Sample Practice Questions

Review a selection from this exam's published US Practice Tests practice bank.

Question 1

When reviewing an agent's response, which distinction is most useful for identifying a possible quality problem?

  1. AWhether the response is concise or detailed
  2. BWhether the response is factually grounded or merely plausible-sounding
  3. CWhether the response uses formal or informal wording
  4. DWhether the response includes a greeting
Show answerCorrect answer: B

A fluent response can still be incorrect. Evaluating whether claims are supported by the information available to the agent is a core quality check, distinct from style preferences.

Question 2

In a visual agent-building environment, what is the main benefit of separating an agent’s overall configuration from the individual capabilities it can invoke?

  1. AIt allows each capability to be configured and maintained as a distinct part of the design
  2. BIt guarantees every capability will return the same response format
  3. CIt removes the need to define the agent’s intended behavior
  4. DIt prevents the agent from using information provided during a conversation
Show answerCorrect answer: A

Separating the agent configuration from its capabilities supports modular design: the overall behavior can be managed independently from the functions the agent may use. It does not by itself guarantee output formats or remove the need for clear behavior definitions.

Question 3

An agent workflow must create a record only after a required field has been confirmed. What is the most appropriate sequencing principle?

  1. AValidate or obtain the required field before invoking the record-creation step
  2. BCreate the record first and check the field afterward
  3. CSkip the field whenever the conversation is lengthy
  4. DMove the required field into the agent's description
Show answerCorrect answer: A

Checking prerequisites before a consequential operation avoids incomplete or invalid requests. Descriptions do not supply missing runtime data, and checking only afterward may be too late.

Question 4

A team is preparing an agent configuration for another environment. Which practice best supports a controlled promotion process?

  1. AMove the configuration through the organization’s approved deployment process and validate it in the target environment
  2. BCopy production credentials into the configuration so it works immediately
  3. CSkip target-environment checks because the source configuration was tested
  4. DAllow each user to modify the deployed configuration independently
Show answerCorrect answer: A

A managed promotion process helps preserve configuration integrity and allows validation against the target environment. Credentials and environment-specific settings should be handled through approved secure processes, not copied casually.

Question 5

A configured agent capability repeatedly fails because required input is missing. What is a useful first step in troubleshooting?

  1. ACheck the capability’s required inputs and how the agent supplies them
  2. BGrant the capability administrator access immediately
  3. CRemove all validation from the capability
  4. DAssume the language model will infer every missing value
Show answerCorrect answer: A

Comparing the capability’s input requirements with the values and mappings supplied by the agent is a focused first diagnostic step. Broader permissions or removed validation do not address missing inputs safely.

Question 6

When an agent must communicate a date supplied in one format and used in another locale, what is a sound design consideration?

  1. AClarify or standardize the date interpretation to avoid ambiguity
  2. BAssume every user interprets numeric dates in the same order
  3. CRemove the year from the date before processing it
  4. DTreat all date strings as verified system timestamps
Show answerCorrect answer: A

Numeric dates can be ambiguous across locales. Clarifying the intended format or using a standardized representation reduces the chance of interpreting a date incorrectly.

Question 7

In a multi-step agent process, why is it helpful to make step boundaries explicit?

  1. AThey clarify what information or result each step passes to the next
  2. BThey guarantee that each step will succeed
  3. CThey allow unrelated steps to share unrestricted data
  4. DThey remove the need to handle errors
Show answerCorrect answer: A

Explicit boundaries make dependencies and expected outputs easier to understand, test, and troubleshoot. They do not guarantee success, so error handling remains important.

How to use this practice test

Access the practice questions for free. Each session presents up to 20 random questions from the 50-question bank, and results appear when the session ends. Use missed or uncertain answers to identify which agent design decisions—such as input validation, sequencing, or error diagnosis—need further review.

Preparation tips

  • Sketch how an agent configuration relates to its callable capabilities, then identify which capability fits a given task.
  • For record-creation scenarios, list required inputs and place confirmation before the action that writes the record.
  • When troubleshooting a failed capability call, check required inputs first and note the error context while excluding unnecessary sensitive data.
  • Compare agent behavior before and after a configuration change; track the version and the specific response or workflow difference.
  • Practice converting dates between formats and locales, and consider how the agent should preserve the intended meaning.
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