Official Bank 0/365

AWS Certified AI Practitioner Exam (AIF-C01) - AWS Exam Questions

Last updated on June 20, 2026

97% Exam Compliance
365 Total Questions
1
Question
A company is using Amazon SageMaker to develop AI models. HOTSPOT
Select the correct SageMaker feature or resource from the following list for each step in the AI model
lifecycle workflow. Each SageMaker feature or resource should be selected one time or not at all. (Select TWO.) SageMaker Clarify SageMaker Model Registry SageMaker Serverless Inference

Exhibit
Reveal Only
Discussion (0 comments)

to join the discussion

Community Discussion

No discussions yet. Be the first to ask!

2
Question
A bank is fine-tuning a large language model (LLM) on Amazon Bedrock to assist customers with questions about their loans. The bank wants to ensure that the model does not reveal any private customer data.

Which solution meets these requirements?
Options
A Store customer data in Amazon S3. Encrypt the data before fine-tuning the LLM.
B Increase the Top-K parameter of the LLM.
C Remove personally identifiable information (PII) from the customer data before fine-tuning the LLM.
D Use Amazon Bedrock Guardrails.
Discussion (0 comments)

to join the discussion

Community Discussion

No discussions yet. Be the first to ask!

3
Question
A company uses Amazon SageMaker and various models fa Its AI workloads. The company needs to understand If Its AI workloads are ISO compliant.

Which AWS service or feature meets these requirements?
Options
A Amazon SageMaker Model Monitor
B Amazon SageMaker Model Cards
C AWS Audit Manager
D AWS Artifact
Discussion (0 comments)

to join the discussion

Community Discussion

No discussions yet. Be the first to ask!

4
Question
A company has petabytes of unlabeled customer data to use for an advertisement campaign. The company wants to classify its customers into tiers to advertise and promote the company's products.

Which methodology should the company use to meet these requirements?
Options
A Reinforcement learning
B Unsupervised learning
C Supervised learning
D Reinforcement learning from human feedback (RLHF)
Discussion (0 comments)

to join the discussion

Community Discussion

No discussions yet. Be the first to ask!

5
Question
A company wants to build and deploy ML models on AWS without writing any code.

Which AWS service or feature meets these requirements?
Options
A AWS DeepRacer
B Amazon SageMaker Canvas
C Amazon Rekognition
D Amazon Comprehend
Discussion (0 comments)

to join the discussion

Community Discussion

No discussions yet. Be the first to ask!

Finish Practice?

Are you sure you want to finish? This will end your practice session.