AWS AI Services Quiz

Which AWS service can be used to build, train, and deploy a customized machine learning (ML) model without worrying about the underlying infrastructure?

• Amazon Comprehend

• Amazon EMR

• Amazon SageMaker AI

• Amazon Personalize

The extract, transform, load (ETL) process is often used to provide clean and accessible data in a format that is usable by analytics tools and AI algorithms. How does a data pipeline improve this process?

• Data pipelines make the ETL process more efficient and repeatable.

• Data pipelines increase the amount of raw data collected.

• Data pipelines reduce the variety of data sources used by ETL.

• Data pipelines eliminate the need for data transformations.

Amazon Bedrock is a fully managed service that was specifically designed for working with large foundation models (FMs) and building generative AI applications. What does the service provide to access FMs from Amazon and leading AI startups?

• An open source repository

• Dedicated cloud storage

• Free, unlimited use

• A single API

Generative AI is a type of deep learning powered by extremely large machine learning (ML) models known as foundation models (FMs). What are characteristics of FMs? (Select TWO.)

• FMs are programmed with explicit rules.

• FMs can be adapted to perform multiple tasks.

• FMs are pre-trained on vast collections of data.

• FMs are only used to create images.

• FMs are trained to perform singular tasks.

A financial services company is developing an application to analyze real-time stock data so its team of analysts can make immediate trading decisions. The company needs to ingest real-time stock market data without worrying about servers or scaling capacity. Which AWS service would meet their needs?

• Amazon Kinesis Data Streams

• Amazon QuickSight

• Amazon Athena

• Amazon EMR

Both classical programming and machine learning can be used to train computers to perform tasks. What is the main difference between the two approaches?

• Classical programming is used for simple tasks, whereas machine learning is reserved for extremely complex tasks.

• Classical programming creates explicit rules for the computer to follow. In machine learning, computers make predictions using patterns learned from historical data.

• Classical programming requires more computational resources than machine learning, making it less efficient for complex tasks.

• Classical programming is used for mathematical operations, whereas machine learning is exclusively used for pattern recognition in images and text.

An e-commerce company wants to add a product recommendation engine to its online application to increase sales. The development team wants the recommendations to be relevant for each individual customer. Which pre-built AWS AI service would work well for this use case?

• Amazon Comprehend

• Amazon Kendra

• Amazon Personalize

• Amazon Lex

Data can come from many different sources. To provide insights, the data must be consolidated in a single location. There are two storage options for this. Data lakes store vast amounts of raw data, and data warehouses are optimized for business intelligence. Which AWS services are typically used as a data lake and data warehouse?

• Amazon Redshift is a popular choice for data lakes, whereas Amazon S3 is a data warehouse service.

• Amazon S3 is a popular choice for data lakes, whereas Amazon Athena is a data warehouse service.

• Amazon S3 is a popular choice for data lakes, whereas Amazon Redshift is a data warehouse service.

• Amazon EMR is a popular choice for data lakes, whereas Amazon Redshift is a data warehouse service.

A large healthcare organization wants to improve employee productivity. The company is searching for a pre-built generative AI assistant that can answer questions, help solve problems, and take actions using the data and expertise found in its information repositories. Which AWS service would work well for this use case?

• Amazon Bedrock

• Amazon SageMaker JumpStart

• Amazon Q Developer

• Amazon Q Business

A small development team is looking to add a feature to its application that converts text to speech. Which pre-built AWS AI service can be used for this task?

• Amazon Comprehend

• Amazon Polly

• Amazon Personalize

• Amazon Textract