Question 1

Which of the following correctly describes the three main types of machine learning?

Options :

A : Transfer Learning, Semi-supervised Learning, Self-supervised Learning

B : Deep Learning, Self-supervised Learning, Reinforcement Learning

C : Reinforcement Learning, Transfer Learning, Semi-supervised Learning

D : Supervised learning, Unsupervised learning, Deep Learning

Answer: D

Question 2

A global e-commerce company is utilizing a foundation model through Amazon Bedrock to enhance its customer service chatbot, providing automated support and answering user queries. However, the company is concerned about the potential for the model to generate inappropriate, sensitive, or malicious content that could harm its reputation or negatively impact customer experience. To mitigate these risks, the company seeks to implement safety measures that ensure the model consistently produces safe, relevant, and context-appropriate responses.

Given this goal, what would be the most effective approach to control these risks and maintain model safety?

Options :

A : The company should retrain the underlying foundation model (FM) from scratch to prevent exposure

B : The company should instruct the model to stick to the prompt by adding explicit instructions to ignore any unrelated or potentially malicious content

C : The company should adjust the model hyperparameters to safeguard the output

D : The company should develop an API that processes all responses from the model and checks for any risks of exposure, which involves creating a custom layer that monitors and filters all model outputs, scanning them for inappropriate or unsafe content before they are delivered to the end-user

Answer: B

Question 3

A technology company is considering using Amazon Web Services (AWS) to support its growing application infrastructure and is exploring different cloud computing models. The team is particularly interested in Amazon Elastic Compute Cloud (EC2) to handle its scalable compute needs, as understanding this will help them determine how much control they have over the underlying infrastructure and how best to manage their resources.

Which type of cloud computing does Amazon Elastic Compute Cloud (EC2) represent?

Options :

A : Network as a Service (NaaS)

B : Platform as a Service (PaaS)

C : Software as a Service (SaaS)

D : Infrastructure as a Service (IaaS)

Answer: D

Question 4

A financial services company is exploring the use of generative AI to automate report generation and enhance customer insights. As part of this effort, the team is evaluating different AI models and technologies, including Foundation Models (FMs), to understand their capabilities and how they can be applied to improve efficiency. The team needs to clarify key characteristics and features of Foundation Models to determine if they align with the company's objectives.

Which of the following statements is correct regarding Foundation Models (FMs) in the context of generative AI?

Options :

A : FMs use self-supervised learning to create labels from input data and fine-tuning an FM is a self-supervised learning process as well

B : FMs use supervised learning to create labels from input data and fine-tuning an FM is a supervised learning process as well

C : FMs use self-supervised learning to create labels from input data, however, fine-tuning an FM is a supervised learning process

D : FMs use supervised learning to create labels from input data, however, fine-tuning an FM is a self-supervised learning process

Answer: C

Question 5

What is the primary purpose of AWS AI service cards?

Options :

A : To offer transparency and information about the intended use, limitations, and potential impacts of AWS AI services, helping users implement Responsible AI practices

B : To provide a platform for users to share their AI models and datasets with the community

C : To provide detailed technical documentation for setting up AWS AI services

D : To serve as a marketplace for purchasing third-party AI services using pre-paid cards

Answer: A

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