AWS Machine Learning Quiz

What is the purpose of IoT Core as mentioned in the Big Data Ingestion Pipeline discussion?

• It helps with data analysis.

• It allows you to harvest data from IoT devices.

• It triggers notifications to SQS.

• It is used for data storage.

Which service is great for real-time data collection according to the discussion?

• Lambda

• Kinesis

• Athena

• IoT Core

How does Firehose assist with data according to the material?

• It performs data analysis.

• It collects data from IoT devices.

• It helps with data delivery to S3 in near real-time.

• It triggers notifications to SQS.

What is the role of Lambda in the context of Firehose?

• It collects real-time data.

• It triggers notifications to SQS.

• It helps with data transformations.

• It stores data in S3.

What can Amazon S3 trigger according to the Big Data Ingestion Pipeline discussion?

• Data transformations

• Notifications to SQS

• Harvesting of IoT device data

• Real-time data collection

What is Athena described as in the document?

• A data collection service

• A serverless SQL service

• A data transformation tool

• A notification system

What type of data does the reporting bucket contain?

• Raw data from IoT devices

• Transformed data via Lambda

• Analyzed data

• Notifications from S3

Which tools can use the data from the reporting bucket as mentioned in the discussion?

• IoT Core and Kinesis

• Lambda and Athena

• AWS QuickSight and Redshift

• Firehose and SQS

What can Amazon Rekognition find in images and videos using machine learning (ML)?

• Objects, people, text, scenes

• Only text and objects

• Only scenes and people

• Only objects

What is one of the use cases for Amazon Rekognition listed in the image?

• Pathing for sports game analysis

• Weather prediction

• Language translation

• Music genre classification