Free Amazon AIF-C01 Exam Questions

Become Amazon Certified with updated AIF-C01 exam questions and correct answers

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Total 460 Questions | Updated On: Nov 14, 2024

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Question 1

In the context of security and privacy for AI systems on AWS, what is the primary difference between threat detection and vulnerability management?

A : Threat detection involves real-time monitoring and identification of active threats, whereas vulnerability management is about identifying, assessing, and mitigating security weaknesses

B : Threat detection focuses on identifying potential weaknesses in the system, while vulnerability management continuously monitors for malicious activities

C : Threat detection and vulnerability management both exclusively focus on compliance with regulatory requirements

D : Threat detection is concerned with data encryption and access controls, while vulnerability management deals with incident response and recovery

Answer: A

Question 2

Which of the following services is specifically designed to provide insights into model predictions by explaining how input features contribute to the final output?

A : Amazon SageMaker Clarify

B : Amazon SageMaker Feature Store

C : Amazon SageMaker Model Monitor

D : Amazon SageMaker Canvas

Answer: A

Question 3

An AI practitioner has a database of animal photos. The AI practitioner wants to automatically identify and

categorize the animals in the photos without manual human effort.

Which strategy meets these requirements?

A : Object detection

B : Anomaly detection

C : Named entity recognition

D : Inpainting

Answer: A

Question 4

A machine learning team at a tech company is developing a generative AI model to automate text generation for customer support. As part of optimizing the model’s performance, the team needs to adjust both model parameters and hyperparameters but wants to clearly understand the distinctions between the two. Understanding these differences is crucial for fine-tuning the model and improving its output.Which of the following highlights the key differences between model parameters and hyperparameters in the context of generative AI?

A : Hyperparameters are values that define a model and its behavior in interpreting input and generating responses. Model parameters are values that can be adjusted for model customization to control the training process

B : Both Hyperparameters and model parameters are values that define a model and its behavior in interpreting input and generating responses

C : Model parameters are values that define a model and its behavior in interpreting input and generating responses. Hyperparameters are values that can be adjusted for model customization to control the training process

D : Both Hyperparameters and model parameters are values that can be adjusted for model customization to control the training process

Answer: C

Question 5

How does the inference parameter Top P influence the model response for Amazon Bedrock?

A : Influences the likelihood of the model selecting lower-probability outputs, thereby impacting the creativity of the model’s output

B : Influences the number of most-likely candidates that the model considers for the next token

C : Specifies the sequences of characters that stop the model from generating further tokens

D : Influences the percentage of most-likely candidates that the model considers for the next token

Answer: D

Page: 1 / 92

Total 460 Questions | Updated On: Nov 14, 2024

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