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

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 3

A retail company is developing a machine learning model to improve its customer segmentation and targeting strategies. The data science team is working with both labeled and unlabeled customer data to train their models but needs to clearly understand the distinction between these two types of data to decide how best to use them. Understanding this difference is critical for selecting the appropriate machine learning techniques, such as supervised or unsupervised learning, for different stages of the project.What is a key difference between labeled data and unlabeled data in the context of machine learning?

Options :

A : Labeled data consists of raw information with no tags or annotations, while unlabeled data includes tags that provide meaning to the data

B : Labeled data can only be used for unsupervised learning algorithms, whereas, unlabeled data is exclusively for supervised learning algorithmsLabeled data is inherently more complex to process due to the lack of structure, whereas unlabeled data is easier to handle because it has clear annotations

C : Labeled data is inherently more complex to process due to the lack of structure, whereas unlabeled data is easier to handle because it has clear annotations

D : Labeled data is annotated with output labels that provide specific information about each data point and is used for supervised learning, whereas, unlabeled data lacks such annotations and is used for unsupervised learning

Answer: D

Question 4

A company needs large, high-quality, and labeled datasets for training its machine learning models. Which Amazon SageMaker service helps build high-quality training datasets?

Options :

A : Amazon SageMaker Canvas

B : Amazon SageMaker JumpStart

C : Amazon SageMaker Feature Store

D : Amazon SageMaker Ground Truth

Answer: D

Question 5

A retail company is seeking to empower its business analysts to create data-driven dashboards without needing technical expertise in coding or data query languages. The company wants a solution that allows analysts to use natural language to generate reports, visualize key metrics, and build Business Intelligence (BI) dashboards to inform decision-making across departments. They are exploring options within AWS that can help streamline this process for non-technical users.Which of the following solutions allows business analysts to use natural language to build BI dashboards?

Options :

A : Amazon Q Developer

B : Amazon Q in Connect

C : Amazon Q in QuickSight

D : Amazon Q Business

Answer: C

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