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Question 430
A completed proof of concept must support live applications at scale. Which capability turns a model into a service?
- Model customization
- Model card review
- Model serving
- Model evaluation
Explanation
Correct Answer
C:Model serving provides the operational endpoint. Serving makes a selected model available for application inference.
Incorrect Answers
A:Customization adapts supported models using prompts, tuning or other available methods. This does not directly meet the case requirement to run inference for production clients.
B:Model cards describe supported capabilities, limitations and model information. This does not directly meet the case requirement to run inference for production clients.
D:Evaluation compares candidate model outputs against meaningful task metrics. This does not directly meet the case requirement to run inference for production clients.
Question 431
A business technologist wants a low-code canvas for designing an enterprise workflow agent. Which tool fits?
- Tool configuration
- Agent Studio
- Agent evaluation
- Google AI Studio
Explanation
Correct Answer
B:Agent Studio provides the visual agent-building experience. Agent Studio provides low-code visual tools to design and manage custom enterprise AI agents.
Incorrect Answers
A:Tool configuration defines which approved external operations the agent may invoke. This does not directly meet the case requirement to build a custom agent with minimal programming.
C:Agent evaluation tests a built agent's behavior over defined tasks and tool interactions. This does not directly meet the case requirement to build a custom agent with minimal programming.
D:Google AI Studio is oriented to exploring and prototyping generative models and the Gemini API. This does not directly meet the case requirement to build a custom agent with minimal programming.
Question 432
A developer wants to experiment with Gemini prompt and API behavior before building a business agent. Which environment is a suitable starting point?
- Google AI Studio
- Managed agent runtime
- Agent Development Kit
- Tool configuration
Explanation
Correct Answer
A:Google AI Studio supports accessible Gemini experimentation. Google AI Studio is oriented to exploring and prototyping generative models and the Gemini API.
Incorrect Answers
B:A managed runtime hosts and scales deployed agents rather than serving only as a design canvas. This does not directly meet the case requirement to test model prompts and Gemini APIs.
C:The Agent Development Kit supports code-based creation of modular, tool-using agents. This does not directly meet the case requirement to test model prompts and Gemini APIs.
D:Tool configuration defines which approved external operations the agent may invoke. This does not directly meet the case requirement to test model prompts and Gemini APIs.
Question 433
A software team prefers to write a modular agent with explicit code and reusable components. Which development choice fits?
- Agent Studio
- Agent Development Kit
- Managed agent runtime
- Agent evaluation
Explanation
Correct Answer
B:The Agent Development Kit is code-first. The Agent Development Kit supports code-based creation of modular, tool-using agents.
Incorrect Answers
A:Agent Studio provides low-code visual tools to design and manage custom enterprise AI agents. This does not directly meet the case requirement to implement a custom modular tool-using agent.
C:A managed runtime hosts and scales deployed agents rather than serving only as a design canvas. This does not directly meet the case requirement to implement a custom modular tool-using agent.
D:Agent evaluation tests a built agent's behavior over defined tasks and tool interactions. This does not directly meet the case requirement to implement a custom modular tool-using agent.
Question 434
A prototype agent must remain available for production requests after leaving the designer. Which service category is necessary?
- Agent Development Kit
- Managed agent runtime
- Agent evaluation
- Tool configuration
Explanation
Correct Answer
B:A runtime deploys and operates agents outside an editing session. A managed runtime hosts and scales deployed agents rather than serving only as a design canvas.
Incorrect Answers
A:The Agent Development Kit supports code-based creation of modular, tool-using agents. This does not directly meet the case requirement to run a deployed agent reliably.
C:Agent evaluation tests a built agent's behavior over defined tasks and tool interactions. This does not directly meet the case requirement to run a deployed agent reliably.
D:Tool configuration defines which approved external operations the agent may invoke. This does not directly meet the case requirement to run a deployed agent reliably.
Question 435
A team needs to test whether an agent always asks for approval before purchasing. Which capability verifies behavior?
- Google AI Studio
- Tool configuration
- Agent evaluation
- Managed agent runtime
Explanation
Correct Answer
C:Agent evaluations can check multistep behavior. Agent evaluation tests a built agent's behavior over defined tasks and tool interactions.
Incorrect Answers
A:Google AI Studio is oriented to exploring and prototyping generative models and the Gemini API. This does not directly meet the case requirement to assess tool-use safeguards through tests.
B:Tool configuration defines which approved external operations the agent may invoke. This does not directly meet the case requirement to assess tool-use safeguards through tests.
D:A managed runtime hosts and scales deployed agents rather than serving only as a design canvas. This does not directly meet the case requirement to assess tool-use safeguards through tests.
Question 436
A sales assistant must access approved CRM functions but not payroll APIs. Which design decision defines its capabilities?
- Agent Development Kit
- Tool configuration
- Managed agent runtime
- Google AI Studio
Explanation
Correct Answer
B:Tool configuration limits callable operations. Tool configuration defines which approved external operations the agent may invoke.
Incorrect Answers
A:The Agent Development Kit supports code-based creation of modular, tool-using agents. This does not directly meet the case requirement to specify the agent's allowed external tools.
C:A managed runtime hosts and scales deployed agents rather than serving only as a design canvas. This does not directly meet the case requirement to specify the agent's allowed external tools.
D:Google AI Studio is oriented to exploring and prototyping generative models and the Gemini API. This does not directly meet the case requirement to specify the agent's allowed external tools.
Question 437
A process owner without programming experience wants to model an agent's reasoning flow visually. Which Google environment fits?
- Managed agent runtime
- Agent Studio
- Agent Development Kit
- Agent evaluation
Explanation
Correct Answer
B:Low-code Agent Studio is intended for designing such agents. Agent Studio provides low-code visual tools to design and manage custom enterprise AI agents.
Incorrect Answers
A:A managed runtime hosts and scales deployed agents rather than serving only as a design canvas. This does not directly meet the case requirement to author and iterate agent workflows visually.
C:The Agent Development Kit supports code-based creation of modular, tool-using agents. This does not directly meet the case requirement to author and iterate agent workflows visually.
D:Agent evaluation tests a built agent's behavior over defined tasks and tool interactions. This does not directly meet the case requirement to author and iterate agent workflows visually.
Question 438
An engineer needs to try alternate Gemini prompts in a quick browser sandbox. Which environment is appropriate?
- Managed agent runtime
- Google AI Studio
- Agent Development Kit
- Tool configuration
Explanation
Correct Answer
B:Google AI Studio supports prompt prototypes. Google AI Studio is oriented to exploring and prototyping generative models and the Gemini API.
Incorrect Answers
A:A managed runtime hosts and scales deployed agents rather than serving only as a design canvas. This does not directly meet the case requirement to explore model responses before production integration.
C:The Agent Development Kit supports code-based creation of modular, tool-using agents. This does not directly meet the case requirement to explore model responses before production integration.
D:Tool configuration defines which approved external operations the agent may invoke. This does not directly meet the case requirement to explore model responses before production integration.
Question 439
A team wants complex orchestration with code-level tests and modular agent abstractions. What should they evaluate?
- Agent Development Kit
- Agent evaluation
- Agent Studio
- Tool configuration
Explanation
Correct Answer
A:The Agent Development Kit suits code-driven orchestration. The Agent Development Kit supports code-based creation of modular, tool-using agents.
Incorrect Answers
B:Agent evaluation tests a built agent's behavior over defined tasks and tool interactions. This does not directly meet the case requirement to build an agent using a developer framework.
C:Agent Studio provides low-code visual tools to design and manage custom enterprise AI agents. This does not directly meet the case requirement to build an agent using a developer framework.
D:Tool configuration defines which approved external operations the agent may invoke. This does not directly meet the case requirement to build an agent using a developer framework.
Question 440
An agent produces the right result but sometimes invokes the wrong tool. What capability should capture the defect?
- Agent Studio
- Managed agent runtime
- Agent evaluation
- Tool configuration
Explanation
Correct Answer
C:Agent evaluations examine traces and result quality. Agent evaluation tests a built agent's behavior over defined tasks and tool interactions.
Incorrect Answers
A:Agent Studio provides low-code visual tools to design and manage custom enterprise AI agents. This does not directly meet the case requirement to test tool selection on representative tasks.
B:A managed runtime hosts and scales deployed agents rather than serving only as a design canvas. This does not directly meet the case requirement to test tool selection on representative tasks.
D:Tool configuration defines which approved external operations the agent may invoke. This does not directly meet the case requirement to test tool selection on representative tasks.
Generative AI Leader Practice Tests