Question 1

A technology company is planning to implement machine learning to improve its product recommendation system and optimize supply chain management. The data science team is evaluating different types of machine learning approaches. Gaining a clear understanding of these types will help them choose the right strategy for model development.What of the following option would you suggest to the team as the three main types of machine learning?

Options :

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

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

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

D : Supervised learning, Unsupervised learning, Deep Learning

Answer: D

Question 2

When a generative AI model makes something up that may sound plausible and factual but may not be correct, what is it called?

Options :

A : Fairness

B : Controllability

C : Hallucination

D : Explainability

Answer: C

Question 3

A video streaming company is developing machine learning models to recommend content and analyze user interactions. The data science team needs to understand the specific capabilities of Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs).Which of the following would you suggest to the team?

Options :

A : Both RNNs and CNNs are used for video analysis

B : While RNNs are used for single image analysis, CNNs are used for video analysis

C : Both RNNs and CNNs are used for single image analysis

D : While CNNs are used for single image analysis, RNNs are used for video analysis

Answer: D

Question 4

A company is building a customer service chatbot. The company wants the chatbot to improve its responses by learning from past interactions and online resources. Which AI learning strategy provides this self-improvement capability?

Options :

A : Supervised learning with a manually curated dataset of good responses and bad responses

B : Reinforcement learning with rewards for positive customer feedback

C : Unsupervised learning to find clusters of similar customer inquiries

D : Supervised learning with a continuously updated FAQ database

Answer: B

Question 5

A company wants to create a chatbot by using a foundation model (FM) on Amazon Bedrock. The FM needs to access encrypted data that is stored in an Amazon S3 bucket. The data is encrypted with Amazon S3 managed keys (SSE-S3).The FM encounters a failure when attempting to access the S3 bucket data.Which solution will meet these requirements?

Options :

A : Ensure that the role that Amazon Bedrock assumes has permission to decrypt data with the correct encryption key.

B : Set the access permissions for the S3 buckets to allow public access to enable access over the internet.

C : Use prompt engineering techniques to tell the model to look for information in Amazon S3.

D : Ensure that the S3 data does not contain sensitive information.

Answer: A