Free Amazon AIF-C01 Exam Questions

Question 1

A retail company is looking to implement AI-driven solutions to enhance its in-store operations, such as automating inventory management and improving security through visual monitoring. The company wants to leverage pre-trained computer vision (CV) models for fast deployment but also needs the flexibility to customize these models to fit specific business needs. To make an informed decision, the team is evaluating AWS services that offer both pre-trained and customizable computer vision capabilities.What do you suggest?

A : Amazon SageMaker

B : Amazon DeepRacer

C : Amazon Rekognition

D : Amazon Textract

Answer: C

Question 2

A company needs large, high-quality, and labeled datasets for training its machine learning models. Which Amazon SageMaker service helps build high-quality training datasets?

A : Amazon SageMaker Canvas

B : Amazon SageMaker JumpStart

C : Amazon SageMaker Feature Store

D : Amazon SageMaker Ground Truth

Answer: D

Question 3

A marketing company is researching generative AI technologies to better understand how they work and what makes them suitable for automating creative tasks. Understanding the core principles of generative AI will help the company determine if it’s the right fit for their content creation needs.Given this context, which of the following best describes generative AI?

A : Generative AI encompasses models and algorithms capable of creating new content such as text, images, and audio based on patterns learned from existing data

B : Generative AI refers to AI systems that are limited to performing predefined tasks without adapting to new data or contexts

C : Generative AI refers to algorithms that analyze existing data to generate new insights without creating new content

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