AWS Certified Cloud Practitioner (CLF-C01)- Amazon Rekognition

The video tutorial introduces AWS's machine learning services, highlighting their broad capabilities and importance in cloud infrastructure. It focuses on Amazon Recognition, detailing its features like image and video analysis, text detection, and celebrity recognition. A practical use case involving speed cameras is discussed, demonstrating how Amazon Recognition can be integrated with other AWS services like S3, Lambda, and DynamoDB. The video concludes with an overview of Amazon Recognition's video services, emphasizing its advanced video analysis and integration with other AWS tools.

Which company was named the leader in cloud AI developer services by Gartner in 2020?

• IBM

• AWS

• Google

• Microsoft

What is one of the primary functions of Amazon Rekognition?

• Storing data

• Analyzing images and videos

• Translating text

• Generating speech

In Amazon Rekognition, what does the percentage sign next to an identified item represent?

• The size of the object

• The confidence level of the detection

• The processing time

• The number of similar objects

How can Amazon Rekognition be used in speed camera systems?

• To identify speeding vehicles and issue tickets

• To analyze traffic patterns

• To monitor road construction

• To detect weather conditions

Which AWS service can be used to store images captured by speed cameras for analysis by Amazon Rekognition?

• Amazon CloudFront

• Amazon S3

• Amazon RDS

• Amazon EC2

What additional feature does Amazon Rekognition Video offer compared to the standard Rekognition service?

• Text translation

• Facial analysis with timestamps

• Data encryption

• Real-time weather updates

Which service can Amazon Rekognition Video integrate with for audio analysis?

• Amazon Lex

• Amazon Polly

• Amazon Transcribe

• Amazon Translate