Free AIP-C01 mock test – Exam 1

AWS Certified Generative AI Developer – Professional (AIP-C01)

Free AWS Generative AI Developer Professional practice exam for AIP-C01 preparation.

Use this free AWS Certified Generative AI Developer Professional practice exam to review Amazon Bedrock, prompt management, guardrails, RAG, observability, inference profiles, and secure generative AI application design.

6 exam-style questions Free AIP-C01 mock test Detailed option explanations No signup required

Start Practice Exam 1 below. Answer each question first, then use the explanations to understand the AWS generative AI pattern behind each option.

AWS Certified Generative AI Developer - Professional (AIP-C01) Practice Exam 1

Free AWS Certified Generative AI Developer Professional AIP-C01 practice exam 1 with detailed explanations for every option.

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Question

A company is building an Amazon Bedrock application with Amazon Nova Pro. The prompt has four required inputs and responses must follow a consistent text format. The company also wants to be notified when model output contains bullying or insulting language, but the flagged response should not automatically be blocked. Which actions should the company take? (Choose TWO.)

Which option meets the requirement?

A. Use Amazon Bedrock Prompt Management to define input variables, select the model, define the output format, and use the managed prompt in the flow.

B. Create a guardrail with the hate content filter set to block, and attach it to the flow.

C. Use a prompt router to choose among many models and place the output format only in the flow output node.

D. Create an Amazon Bedrock guardrail with the insults content filter set to detect, and attach it to the prompt node.

E. Use an application inference profile description and tags to enforce prompt variables and response formatting.

2 / 6

Question

An elevator maintenance assistant uses Amazon Bedrock to generate service recommendations from sensor data. Regulations require a technician to review and approve every AI-generated recommendation. The company must store all review decisions for audit. Which solution best meets the requirement?

Which option meets the requirement?

A. Use AWS Glue workflows for the approval process and store decisions in Amazon ElastiCache.

B. Use AWS Step Functions with a human approval step that pauses with a task token, then use Lambda to call SendTaskSuccess and store decisions in DynamoDB.

C. Use EventBridge rules to route recommendations to technicians and run AWS Glue jobs to process approval queues.

D. Use only Lambda and SQS to build a custom approval engine, then write decisions to local files.

3 / 6

Question

A financial services company uses several foundation models through Amazon Bedrock. Applications must estimate token usage before requests reach the models, alert when usage approaches model-specific limits, process more than 5,000 requests per minute, and maintain token metrics for chargeback. What should the company build?

Which option meets the requirement?

A. Analyze only failed requests from an SQS dead-letter queue and report token failures from logs.

B. Implement model-specific tokenizers in Lambda before Bedrock calls, publish metrics to CloudWatch, trigger alarms near limits, and store detailed usage in DynamoDB.

C. Use API Gateway usage plans to reject requests by token count without estimating request tokens.

D. Use Bedrock Guardrails token quota policies and EventBridge notifications for all token accounting.

4 / 6

Question

An ecommerce company uses a foundation model to generate product descriptions. Engineering monitors latency, errors, and token usage in CloudWatch. Marketing tracks conversion and revenue metrics. The company needs one observability approach that correlates operational degradation with business impact and alerts stakeholders. Which solution should be used?

Which option meets the requirement?

A. Use Amazon Managed Grafana for visualization only and always invoke Lambda remediation when thresholds are exceeded.

B. Stream CloudWatch metrics to S3 and use QuickSight dashboards, with no CloudWatch alarms.

C. Use only CloudWatch dashboards for technical metrics and ask marketing to review business systems separately.

D. Use CloudWatch custom dashboards with imported business metrics, CloudWatch composite alarms with anomaly detection, and SNS notifications.

5 / 6

Question

A real-time generative AI application calls Amazon Bedrock foundation models and experiences intermittent failures during peak traffic. The company needs to reduce cascading failures, trace latency across services, and filter traces by model characteristics. Which solution is the best fit?

Which option meets the requirement?

A. Use a fixed one-second retry delay and CloudWatch alarms only.

B. Configure AWS SDK standard retry mode with exponential backoff and jitter, and use AWS X-Ray annotations for trace filtering.

C. Cache every model response on the client and rely only on application log statements.

D. Use CloudTrail distributed tracing and adaptive retry mode only.

6 / 6

Question

A medical device company uses an Amazon Bedrock knowledge base over reports stored in S3. Surgeons may see patient PII, but engineers must receive redacted answers. The assistant authenticates users with Amazon Cognito and must reference only reports less than 3 years old. Which solution meets these requirements with low complexity?

Which option meets the requirement?

A. Use Amazon Macie to redact the S3 objects permanently before knowledge base ingestion.

B. Create a separate redacted copy of every report for engineers and manually delete old reports.

C. Use S3 Lifecycle rules to remove reports older than 3 years, schedule knowledge base syncs, and select a Bedrock guardrail configuration based on the user's Cognito group.

D. Create a separate knowledge base for every user and route requests based on the user's email address.

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The average score is 0%

What Practice Exam 1 covers

Amazon Bedrock Prompt Management and guardrails
Human approval workflows with AWS Step Functions
Model-specific token estimation and cost allocation
CloudWatch observability for business and technical metrics
AWS SDK retry behavior, X-Ray tracing, and role-based PII handling

Who should take this free mock test

Use this AIP-C01 practice exam if you are preparing for AWS Certified Generative AI Developer – Professional and want focused, free practice with detailed explanations.

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FAQ

Is this AIP-C01 practice exam free?

Yes. This AWS Certified Generative AI Developer Professional mock test is free to open and retake.

Does this replace hands-on AWS practice?

No. Use it with hands-on practice for Amazon Bedrock, Knowledge Bases, guardrails, Prompt Management, Step Functions, CloudWatch, X-Ray, IAM, and AWS SDKs.

How should I review missed questions?

Read every option explanation, identify the generative AI design pattern being tested, and review the relevant AWS service behavior before retaking the free practice exam.

Free AWS Generative AI Developer Professional Practice Exam 1 | AIP-C01 Mock Test

Free AWS Generative AI Developer Professional practice exam for AIP-C01 preparation.

Question

Correct Answer: A, D

Explanation

Question

Correct Answer: B

Explanation

Question

Correct Answer: B

Explanation

Question

Correct Answer: D

Explanation

Question

Correct Answer: B

Explanation

Question

Correct Answer: C

Explanation

What Practice Exam 1 covers

Who should take this free mock test

FAQ

Is this AIP-C01 practice exam free?

Does this replace hands-on AWS practice?

How should I review missed questions?

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