Question 1

Consider a scenario where a fully-managed AWS service needs to be used for automating the extraction of insights from legal briefs such as contracts and court records.

What do you recommend?

Options :

A : Amazon Translate

B : Amazon Comprehend

C : Amazon Rekognition

D : Amazon Transcribe

Answer: B

Question 2

Which of the following allows business analysts to use natural language to build Business Intelligence (BI) dashboards?

Options :

A : Amazon Q Developer

B : Amazon Q in QuickSight

C : Amazon Q Business

D : Amazon Q in Connect

Answer: B

Question 3

In generative AI, there is a specific concept used to represent words, sub-words, or characters that the model processes as discrete units of text. What is this concept called?

Options :

A : Embeddings

B : Context window

C : Vectors

D : Tokens

Answer: D

Question 4

What is a key difference between Amazon Bedrock and Amazon SageMaker JumpStart?

Options :

A : Amazon Bedrock provides foundational models for generative AI applications, whereas Amazon SageMaker JumpStart offers pre-built solutions and one-click deployment for various machine learning models

B : Amazon SageMaker JumpStart provides foundational models for generative AI applications, whereas Amazon Bedrock offers pre-built solutions and one-click deployment for various machine learning models

C : Amazon SageMaker JumpStart is designed for building and scaling machine learning models, whereas Amazon Bedrock is used for real-time data analytics

D : Amazon Bedrock is designed for building and scaling machine learning models, whereas Amazon SageMaker JumpStart is used for real-time data analytics

Answer: A

Question 5

How would you differentiate between K-Means and K-Nearest Neighbors (KNN) algorithms in machine learning?

Options :

A : K-Means is primarily used for regression tasks, while KNN is used for reducing the dimensionality of data

B : K-Means is an unsupervised learning algorithm used for clustering data points into groups, while KNN is a supervised learning algorithm used for classifying data points based on their proximity to labeled examples

C : K-Means is a supervised learning algorithm used for classification, while KNN is an unsupervised learning algorithm used for clustering

D : K-Means requires labeled data to form clusters, whereas KNN does not use labeled data for making predictions

Answer: B