Generative AI Leader Google Cloud's Generative AI Offerings Practice Test 3 — 15 Questions

Question 1

A financial services company wants to use Vertex AI Grounding with enterprise data to power a regulatory compliance chatbot. They have strict data residency requirements: data must remain in the EU. What should they do?

Accepted Answer

Enable Data Residency by selecting a EU region during data store creation. Option B is correct because when creating a data store for grounding, you must select a region in the EU to meet data residency. Option A is wrong because the endpoint region does not determine data storage location. Option C is wrong because a VPN does not change data residency. Option D is wrong because private tokens are unrelated to residency.

Answer

Use a VPN to the US region

Answer

Convert data to private tokens

Answer

Use a Vertex AI endpoint in a European region

Question 2

You are using Vertex AI Model Garden to deploy a Llama model. Which deployment option provides the best latency for real-time inference?

Accepted Answer

Deploy to Vertex AI Endpoint with a fixed number of replicas. Option C is correct because a fixed number of replicas avoids cold starts and provides consistent low latency. Option A is wrong because Compute Engine VMs require manual management and may not be optimized. Option B is wrong because MaaS with autoscaling can have cold starts. Option D is wrong because batch prediction is for asynchronous workloads, not real-time.

Answer

Use Batch Prediction

Answer

Deploy to a Compute Engine VM

Answer

Use MaaS (Model-as-a-Service) with autoscaling

Question 3

A company is using Vertex AI Agent Builder to create a travel booking agent. They want the agent to book flights and hotels dynamically. What action type should they use?

Accepted Answer

Webhook. Option A is correct because webhooks allow the agent to call external APIs dynamically. Option B is wrong because static calls are for predefined responses. Option C is wrong because 'Dynamic call' is not a standard action type. Option D is wrong because notifications are for sending updates, not performing bookings.

Answer

Dynamic call

Answer

Static call

Answer

Notification

Question 4

A team is deploying a real-time chat application using Gemini. They need to ensure the model does not generate harmful content. Which safety filter configuration should they use?

Accepted Answer

Set safety_threshold high for all categories. Option D is correct because setting high safety thresholds for all categories blocks more harmful content. Option A is wrong because model tuning is about task adaptation, not safety. Option B is wrong because grounding does not prevent harmful output. Option C is wrong because custom safety attributes are for additional categories, but still need thresholds.

Answer

Use grounding with a safe knowledge base

Answer

Implement custom safety attribute filters with low thresholds

Answer

Fine-tune the model with safe examples

Question 5

Which TWO actions can reduce the cost of using Vertex AI Gemini API? (Choose two.)

Accepted Answer

Use batch prediction instead of online. Options A and B are correct. Context caching reduces repeated input costs, and batch prediction is cheaper than online. Options C, D, and E are incorrect because increasing max output tokens may increase cost, using larger models costs more, and grounding with Google Search incurs additional costs.

Answer

Increase the max output tokens

Answer

Use grounding with Google Search

Answer

Use a larger model

Question 6

Which TWO components are essential for building a multi-turn conversational agent using Vertex AI Agent Builder? (Choose two.)

Accepted Answer

Dialogflow CX. Options A and C are correct. Dialogflow CX provides conversational flows, and Agent Builder Agent is the core agent resource. Option B is for prediction serving, not conversational building. Options D and E are storage/analytics, not essential for the agent itself.

Answer

BigQuery

Answer

Vertex AI Prediction

Answer

Cloud Storage

Question 7

Which THREE factors should you consider when selecting a foundation model from Model Garden? (Choose three.)

Accepted Answer

Model size. Options A, B, and C are correct. Model license determines usage rights, accuracy benchmarks show performance, and model size affects cost and latency. Option D is not a primary selection factor, and option E is irrelevant.

Answer

Number of model versions

Answer

The color of the model card

Question 8

Refer to the exhibit. You ran the gcloud command to list a model, but received this error. What is the most likely issue?

Accepted Answer

The model is missing a serving container. Option B is correct because the error clearly states the model has no serving container image. Option A is wrong because a failed upload would show a different error. Option C is wrong because artifact URI issues would show a different message. Option D is wrong because cross-project listing would require additional flags.

Answer

The model's artifact URI is wrong

Answer

The model wasn't uploaded correctly

Answer

The model is in a different project

Question 9

Refer to the exhibit. This is the IAM policy for a project containing a Vertex AI Agent Builder agent and a data store. The agent is unable to access the data store. What is the most likely cause?

Accepted Answer

The agent service account needs the data store viewer role. Option A is correct because the agent uses a service account that needs the data store viewer role. The exhibited policy grants admin to a user, not the agent's service account. Options B, C, and D are unlikely given the error context.

Answer

The user needs more permissions

Answer

The agent needs a bigger quota

Answer

The data store is not in the same region

Question 10

Refer to the exhibit. A developer has defined a dynamic action in the Vertex AI Agent Builder agent YAML. The agent is not triggering the action. What is the most likely issue?

Accepted Answer

The action name is misspelled. Option B is correct because the action name in the YAML is 'book_flight' but the agent may be expecting a different name (typo). Option A is wrong because the endpoint uses HTTPS, which is correct. Option C is wrong because the agent is defined. Option D is wrong because a 4xx error would still trigger the action but result in an error response.

Answer

The endpoint returns a 4xx status

Answer

The endpoint is not HTTPS

Answer

The agent is not enabled

Question 11

A data scientist wants to quickly prototype a text generation application using Google's foundation models. Which Google Cloud service should they use?

Accepted Answer

Generative AI Studio. Generative AI Studio is designed for rapid prototyping with foundation models. Vertex AI Prediction is for serving, AI Platform Training is for custom training, and Cloud Natural Language API is for analysis, not generation.

Answer

Cloud Natural Language API

Answer

Vertex AI Prediction

Answer

AI Platform Training

Question 12

A company is deploying a chatbot that must ensure customer data remains within the European Union. Which approach should they take?

Accepted Answer

Use the Gemini API with a regional endpoint in europe-west4. The Gemini API offers regional endpoints, such as europe-west4, which can restrict data processing to that region. Vertex AI multi-region endpoints may not guarantee EU-only residency.

Answer

Use Vertex AI Agent Builder with global endpoint

Answer

Use Vertex AI with a multi-region endpoint

Answer

Deploy a custom model on GKE in a specific region

Question 13

An organization is using Vertex AI to fine-tune a large language model. They notice training is taking longer than expected and cost is increasing. Which action is most likely to reduce training time and cost without significantly impacting model quality?

Accepted Answer

Enable mixed-precision training (bfloat16). Mixed-precision training (bfloat16) reduces memory usage and speeds up computation on compatible hardware while maintaining model quality. Increasing batch size or learning rate risks convergence issues; increasing steps increases cost.

Answer

Increase the number of training steps

Answer

Increase the batch size

Answer

Use a higher learning rate

Question 14

A security team wants to prevent prompt injection attacks on their generative AI application hosted on Vertex AI. Which best practice should they implement?

Accepted Answer

Implement input validation and output filtering. Input validation and output filtering are key defenses against prompt injection. Custom models do not inherently prevent it; disabling logging reduces visibility; private endpoints do not block injection.

Answer

Use a custom model instead of a foundation model

Answer

Disable all logging

Answer

Use a private endpoint

Question 15

A developer needs to generate embeddings for text data to be used in a semantic search application. Which Google Cloud service should they use?

Accepted Answer

Vertex AI Embeddings API. The Vertex AI Embeddings API provides text embeddings for semantic search. Other services are for speech, translation, or document processing.

Answer

Document AI

Answer

Cloud Translation API

Answer

Cloud Speech-to-Text