Question 1

A healthcare startup is developing a machine learning model to predict patient outcomes based on historical medical data. During the training process, the data science team notices signs of overfitting, where the model performs well on the training data but struggles with new, unseen data. To ensure the model generalizes effectively and avoids memorizing the training data, the team needs to implement strategies to prevent overfitting.

How can you prevent model-overfitting in machine learning?

Options :

A : By using techniques such as cross-validation, regularization, and pruning to simplify the model and improve its generalization

B : By avoiding any form of model validation or testing to prevent the model from learning incorrect patterns

C : By increasing the complexity of the model to ensure it captures all nuances in the training data

D : By only training the model on a small subset of the available data to reduce the amount of information it has to learn

Answer: A

Question 2

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

Options :

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 3

In the context of the AWS Shared Responsibility Model, which statement best describes the security responsibilities of both AWS and the customer when using Amazon Bedrock for generative AI applications?

Options :

A : AWS handles all aspects of security for Amazon Bedrock, relieving the customer of any security responsibilities

B : The customer is responsible for the entire security stack, including the underlying infrastructure and the AI models

C : AWS is responsible for securing the infrastructure that runs Amazon Bedrock, while the customer is responsible for securing their data and managing access controls

D : AWS is responsible for the security of the AI models and customer data, while the customer is responsible for securing the physical infrastructure

Answer: C

Question 4

A company has developed an ML model to predict real estate sale prices. The company wants to deploy the model to make predictions without managing servers or infrastructure. Which solution meets these requirements?

Options :

A : Deploy the model on an Amazon EC2 instance.

B : Deploy the model on an Amazon Elastic Kubernetes Service (Amazon EKS) cluster.

C : Deploy the model by using Amazon CloudFront with an Amazon S3 integration.

D : Deploy the model by using an Amazon SageMaker AI endpoint.

Answer: D

Question 5

A company is using a pre-trained large language model (LLM) to build a chatbot for product recommendations. The company needs the LLM outputs to be short and written in a specific language. Which solution will align the LLM response quality with the company's expectations?

Options :

A : Adjust the prompt.

B : Choose an LLM of a different size.

C : Increase the temperature.

D : Increase the Top K value.

Answer: A

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