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AIF-C01 Practice Questions

AWS Certified AI Practitioner Exam

Last Update 5 hours ago
Total Questions : 401

Dive into our fully updated and stable AIF-C01 practice test platform, featuring all the latest AWS Certified AI Practitioner exam questions added this week. Our preparation tool is more than just a Amazon Web Services study aid; it's a strategic advantage.

Our free AWS Certified AI Practitioner practice questions crafted to reflect the domains and difficulty of the actual exam. The detailed rationales explain the 'why' behind each answer, reinforcing key concepts about AIF-C01. Use this test to pinpoint which areas you need to focus your study on.

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Question # 41

A company wants to fine-tune an ML model that is hosted on Amazon Bedrock. The company wants to use its own sensitive data that is stored in private databases in a VP

C.  

The data needs to stay within the company ' s private network.

Which solution will meet these requirements?

Options:

A.  

Restrict access to Amazon Bedrock by using an AWS Identity and Access Management (IAM) service role.

B.  

Restrict access to Amazon Bedrock by using an AWS Identity and Access Management (IAM) resource policy.

C.  

Use AWS PrivateLink to connect the VPC and Amazon Bedrock.

D.  

Use AWS Key Management Service (AWS KMS) keys to encrypt the data.

Discussion 0
Question # 42

A company has deployed an AI application in production on AWS. The application ' s responses have become less accurate over time. The company needs a solution to send alerts when the application performance drifts.

Which AWS service or feature will meet this requirement?

Options:

A.  

Amazon Augmented AI (Amazon A2I)

B.  

Amazon SageMaker Model Monitor

C.  

Amazon Rekognition

D.  

AWS Trusted Advisor

Discussion 0
Question # 43

A company wants to create a chatbot that answers questions about human resources policies. The company is using a large language model (LLM) and has a large digital documentation base.

Which technique should the company use to optimize the generated responses?

Options:

A.  

Use Retrieval Augmented Generation (RAG).

B.  

Use few-shot prompting.

C.  

Set the temperature to 1.

D.  

Decrease the token size.

Discussion 0
Question # 44

A company is developing an ML application. The application must automatically group similar customers and products based on their characteristics.

Which ML strategy should the company use to meet these requirements?

Options:

A.  

Unsupervised learning

B.  

Supervised learning

C.  

Reinforcement learning

D.  

Semi-supervised learning

Discussion 0
Question # 45

An AI practitioner is building a model to generate images of humans in various professions. The AI practitioner discovered that the input data is biased and that specific attributes affect the image generation and create bias in the model.

Which technique will solve the problem?

Options:

A.  

Data augmentation for imbalanced classes

B.  

Model monitoring for class distribution

C.  

Retrieval Augmented Generation (RAG)

D.  

Watermark detection for images

Discussion 0
Question # 46

A company has built an image classification model to predict plant diseases from photos of plant leaves. The company wants to evaluate how many images the model classified correctly.

Which evaluation metric should the company use to measure the model ' s performance?

Options:

A.  

R-squared score

B.  

Accuracy

C.  

Root mean squared error (RMSE)

D.  

Learning rate

Discussion 0
Question # 47

What does inference refer to in the context of AI?

Options:

A.  

The process of creating new AI algorithms

B.  

The use of a trained model to make predictions or decisions on unseen data

C.  

The process of combining multiple AI models into one model

D.  

The method of collecting training data for AI systems

Discussion 0
Question # 48

A company is monitoring a predictive model by using Amazon SageMaker Model Monitor. The company notices data drift beyond a defined threshold. The company wants to mitigate a potentially adverse impact on the predictive model.

Options:

A.  

Restart the SageMaker AI endpoint.

B.  

Adjust the monitoring sensitivity.

C.  

Re-train the model with fresh data.

D.  

Set up experiments tracking.

Discussion 0
Question # 49

A company wants to set up private access to Amazon Bedrock APIs from the company ' s AWS account. The company also wants to protect its data from internet exposure.

Options:

A.  

Use Amazon CloudFront to restrict access to the company ' s private content

B.  

Use AWS Glue to set up data encryption across the company ' s data catalog

C.  

Use AWS Lake Formation to manage centralized data governance and cross-account data sharing

D.  

Use AWS PrivateLink to configure a private connection between the company ' s VPC and Amazon Bedrock

Discussion 0
Question # 50

Which scenario represents a practical use case for generative AI?

Options:

A.  

Using an ML model to forecast product demand

B.  

Employing a chatbot to provide human-like responses to customer queries in real time

C.  

Using an analytics dashboard to track website traffic and user behavior

D.  

Implementing a rule-based recommendation engine to suggest products to customers

Discussion 0
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