1. Which of the following services can be used for collecting data from multiple sources and making it available for machine learning models on AWS?

A) Amazon S3
B) Amazon SQS
C) AWS Glue
D) Amazon SNS



2. What is the most appropriate AWS service to use for ingesting and processing large volumes of streaming data with low latency, and storing the data durably in a scalable manner?

A) Amazon Kinesis Data Analytics
B) AWS Data Pipeline
C) Amazon Redshift
D) Amazon S3



3. A company wants to perform image classification on a large dataset of images stored in an Amazon S3 bucket. Which AWS service can be used to ingest and preprocess the images for machine learning training?

A) Amazon Kinesis Video Streams
B) AWS Data Pipeline
C) Amazon Rekognition
D) AWS Lambda
E) Amazon SageMaker Ground Truth


4. Which of the following AWS services can be used to efficiently collect and process streaming data in real-time for machine learning purposes? (Select 2)(Select 2answers)

A) Amazon SNS
B) AWS Data Pipeline
C) Amazon Kinesis Data Firehose
D) Amazon DynamoDB
E) AWS Glue


5. Which AWS service can be used to collect and process streaming data from multiple sources, and provide real-time analytics for machine learning applications that require near-real-time data processing?(Select 2answers)

A) Amazon Kinesis Data Firehose
B) AWS Data Pipeline
C) AWS Glue
D) Amazon Redshift
E) Amazon EMR