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Question 510
An image moderation service needs visual tags for product photos. Which API family helps?
- Speech-to-Text API
- Video Intelligence API
- Document AI API
- Cloud Vision API
Explanation
Correct Answer
D:Cloud Vision can label image content. Cloud Vision analyzes images for objects, text and other supported visual features.
Incorrect Answers
A:Speech-to-Text converts recorded or streamed speech into written transcription. This does not directly meet the case requirement to analyze still-image visual features.
B:Video Intelligence extracts supported information and annotations from video assets. This does not directly meet the case requirement to analyze still-image visual features.
C:Document AI extracts and interprets structured information from documents such as forms and invoices. This does not directly meet the case requirement to analyze still-image visual features.
Question 511
A developer wants to try alternate Gemini instructions before building a production application. Which environment offers a quick starting point?
- Google AI Studio
- Model Garden
- Agent Studio
- Agent Development Kit
Explanation
Correct Answer
A:AI Studio supports exploratory prompt and API prototyping. Google AI Studio is a developer-friendly environment for prototyping Gemini prompts and API use.
Incorrect Answers
B:Model Garden is a catalog for evaluating and selecting models from supported providers. This does not directly meet the case requirement to experiment interactively with Gemini prompts.
C:Agent Studio is a visual low-code environment for designing and managing enterprise agents. This does not directly meet the case requirement to experiment interactively with Gemini prompts.
D:The Agent Development Kit enables modular code-based agent development. This does not directly meet the case requirement to experiment interactively with Gemini prompts.
Question 512
A business team wants to create a low-code workflow agent with external tools. Which environment fits?
- Agent Studio
- Enterprise IAM configuration
- Cloud Run deployment
- Google AI Studio
Explanation
Correct Answer
A:Agent Studio supports visual agent workflow design. Agent Studio is a visual low-code environment for designing and managing enterprise agents.
Incorrect Answers
B:IAM determines service and tool access permissions, not prompt content itself. This does not directly meet the case requirement to configure a tool-using enterprise agent.
C:Cloud Run hosts a containerized application service after code has been built. This does not directly meet the case requirement to configure a tool-using enterprise agent.
D:Google AI Studio is a developer-friendly environment for prototyping Gemini prompts and API use. This does not directly meet the case requirement to configure a tool-using enterprise agent.
Question 513
An engineering team needs complete programmatic control over modular agent planning. Which framework should it consider?
- Cloud Run deployment
- Agent Studio
- Google AI Studio
- Agent Development Kit
Explanation
Correct Answer
D:The Agent Development Kit supports code-first agent structures. The Agent Development Kit enables modular code-based agent development.
Incorrect Answers
A:Cloud Run hosts a containerized application service after code has been built. This does not directly meet the case requirement to implement agent orchestration in code.
B:Agent Studio is a visual low-code environment for designing and managing enterprise agents. This does not directly meet the case requirement to implement agent orchestration in code.
C:Google AI Studio is a developer-friendly environment for prototyping Gemini prompts and API use. This does not directly meet the case requirement to implement agent orchestration in code.
Question 514
A team wants to compare available Google, third-party and open foundation models. Which resource provides discovery?
- Agent Studio
- Google AI Studio
- Cloud Run deployment
- Model Garden
Explanation
Correct Answer
D:Model Garden catalogs model alternatives. Model Garden is a catalog for evaluating and selecting models from supported providers.
Incorrect Answers
A:Agent Studio is a visual low-code environment for designing and managing enterprise agents. This does not directly meet the case requirement to browse available models and capabilities.
B:Google AI Studio is a developer-friendly environment for prototyping Gemini prompts and API use. This does not directly meet the case requirement to browse available models and capabilities.
C:Cloud Run hosts a containerized application service after code has been built. This does not directly meet the case requirement to browse available models and capabilities.
Question 515
The team has created a custom API service and needs to host its container. Which service is relevant?
- Enterprise IAM configuration
- Google AI Studio
- Model Garden
- Cloud Run deployment
Explanation
Correct Answer
D:Cloud Run handles managed container execution. Cloud Run hosts a containerized application service after code has been built.
Incorrect Answers
A:IAM determines service and tool access permissions, not prompt content itself. This does not directly meet the case requirement to deploy a custom web service.
B:Google AI Studio is a developer-friendly environment for prototyping Gemini prompts and API use. This does not directly meet the case requirement to deploy a custom web service.
C:Model Garden is a catalog for evaluating and selecting models from supported providers. This does not directly meet the case requirement to deploy a custom web service.
Question 516
A security engineer must define which cloud services an agent may call. Which area sets permissions?
- Model Garden
- Cloud Run deployment
- Enterprise IAM configuration
- Google AI Studio
Explanation
Correct Answer
C:IAM constrains service identity privileges. IAM determines service and tool access permissions, not prompt content itself.
Incorrect Answers
A:Model Garden is a catalog for evaluating and selecting models from supported providers. This does not directly meet the case requirement to authorize agent access to APIs and resources.
B:Cloud Run hosts a containerized application service after code has been built. This does not directly meet the case requirement to authorize agent access to APIs and resources.
D:Google AI Studio is a developer-friendly environment for prototyping Gemini prompts and API use. This does not directly meet the case requirement to authorize agent access to APIs and resources.
Question 517
A researcher wants to see how a different prompt changes Gemini responses with minimal setup. Which tool fits?
- Google AI Studio
- Enterprise IAM configuration
- Agent Studio
- Cloud Run deployment
Explanation
Correct Answer
A:Google AI Studio supports prompt iteration. Google AI Studio is a developer-friendly environment for prototyping Gemini prompts and API use.
Incorrect Answers
B:IAM determines service and tool access permissions, not prompt content itself. This does not directly meet the case requirement to prototype prompts with a model.
C:Agent Studio is a visual low-code environment for designing and managing enterprise agents. This does not directly meet the case requirement to prototype prompts with a model.
D:Cloud Run hosts a containerized application service after code has been built. This does not directly meet the case requirement to prototype prompts with a model.
Question 518
A project owner wants to connect agents and business steps on a visual canvas. Which tool is suited?
- Google AI Studio
- Agent Development Kit
- Cloud Run deployment
- Agent Studio
Explanation
Correct Answer
D:Agent Studio is designed for agent workflows. Agent Studio is a visual low-code environment for designing and managing enterprise agents.
Incorrect Answers
A:Google AI Studio is a developer-friendly environment for prototyping Gemini prompts and API use. This does not directly meet the case requirement to build low-code multi-tool agents.
B:The Agent Development Kit enables modular code-based agent development. This does not directly meet the case requirement to build low-code multi-tool agents.
C:Cloud Run hosts a containerized application service after code has been built. This does not directly meet the case requirement to build low-code multi-tool agents.
Question 519
A team is writing automated tests for agent plans within a software repository. Which development framework applies?
- Agent Development Kit
- Agent Studio
- Enterprise IAM configuration
- Google AI Studio
Explanation
Correct Answer
A:ADK supports structured code-based agents. The Agent Development Kit enables modular code-based agent development.
Incorrect Answers
B:Agent Studio is a visual low-code environment for designing and managing enterprise agents. This does not directly meet the case requirement to test code-defined agent behavior.
C:IAM determines service and tool access permissions, not prompt content itself. This does not directly meet the case requirement to test code-defined agent behavior.
D:Google AI Studio is a developer-friendly environment for prototyping Gemini prompts and API use. This does not directly meet the case requirement to test code-defined agent behavior.
Question 520
A product manager wants to compare available models from multiple providers in a single Google Cloud catalog before choosing one for integration. Which service should they inspect?
- Enterprise IAM configuration
- Agent Studio
- Google AI Studio
- Model Garden
Explanation
Correct Answer
D:Model Garden offers model selection information. Model Garden is a catalog for evaluating and selecting models from supported providers.
Incorrect Answers
A:IAM determines service and tool access permissions, not prompt content itself. This does not directly meet the case requirement to compare model options before building.
B:Agent Studio is a visual low-code environment for designing and managing enterprise agents. This does not directly meet the case requirement to compare model options before building.
C:Google AI Studio is a developer-friendly environment for prototyping Gemini prompts and API use. This does not directly meet the case requirement to compare model options before building.
Generative AI Leader Practice Tests