CLF-C02 Question 254
Select 3Your company has a web application that requires video processing, machine learning predictions, and real-time messaging capabilities. Which of the following AWS services would you identify as appropriate to meet these requirements?
- A
Amazon Rekognition
- B
Amazon S3
- C
Amazon Kinesis Data Streams
- D
Amazon SageMaker
- E
Amazon CloudFront
Show answer and explanation
Correct answers: A, C, D
Explanation
The question requires identifying services that cater to video processing, machine learning predictions, and real-time messaging. Amazon Rekognition processes videos and images using machine learning, Amazon Kinesis Data Streams supports real-time messaging, and Amazon SageMaker provides machine learning capabilities for predictions. Amazon S3 and Amazon CloudFront, while valuable services, do not meet the specific requirements mentioned in the scenario.
- A. Correct.
Amazon Rekognition is a service that uses machine learning to analyze and process videos and images, making it suitable for video processing tasks.
- B. Incorrect.
Amazon S3 is a storage service and does not provide video processing, machine learning predictions, or real-time messaging capabilities.
- C. Correct.
Amazon Kinesis Data Streams is a service designed for real-time data streaming, making it suitable for real-time messaging requirements.
- D. Correct.
Amazon SageMaker is a managed machine learning service that enables developers to build, train, and deploy machine learning models, making it useful for generating predictions.
- E. Incorrect.
Amazon CloudFront is a content delivery network (CDN) service that improves the delivery of web content but does not handle video processing, machine learning, or real-time messaging.