Free Amazon AIF-C01 Exam Questions

Question 1

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 2

A bank has fine-tuned a large language model (LLM) to expedite the loan approval process. During an external audit of the model, the company discovered that the model was approving loans at a faster pace for a specific demographic than for other demographics. How should the bank fix this issue MOST cost-effectively?

A : Include more diverse training data. Fine-tune the model again by using the new data.

B : Use Retrieval Augmented Generation (RAG) with the fine-tuned model.

C : Use AWS Trusted Advisor checks to eliminate bias.

D : Pre-train a new LLM with more diverse training data.

Answer: A

Question 3

Which option is a characteristic of AI governance frameworks for building trust and deploying humancentered AI technologies?

A : Expanding initiatives across business units to create long-term business value

B : Ensuring alignment with business standards, revenue goals, and stakeholder expectations

C : Overcoming challenges to drive business transformation and growth

D : Developing policies and guidelines for data, transparency, responsible AI, and compliance\

Answer: D

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

A company has implemented a chatbot powered by Amazon Bedrock to handle customer inquiries and support requests. While the chatbot is effective at providing automated responses, the company has noticed that some of the replies do not consistently match its desired tone — professional, empathetic, and friendly. To maintain brand consistency and ensure a positive customer experience, the company needs to align the chatbot’s responses with its specific communication style and standards.Which approach would be most effective for ensuring that the chatbot's responses are consistently aligned with the company's tone and style?

A : The company should iteratively test and adjust the chatbot prompts to ensure that its outputs consistently reflect the company's tone and style

B : The company should set a low limit on the number of tokens, which restricts the length of the chatbot's responses, thereby making the chatbot’s responses consistent

C : The company should use batch inferencing, a method that processes multiple input requests in one go to make the chatbot’s responses consistent

D : The company should adjust the temperature to reduce the randomness and creativity of the chatbot’s responses

Answer: A