SAP-C02 Question #662: Real Exam Question with Answer & Explanation

Question

A company needs to store and process image data that will be uploaded from mobile devices using a custom mobile app. Usage peaks between 8 AM and 5 PM on weekdays, with thousands of uploads per minute. The app is rarely used at any other time. A user is notified when image processing is complete. Which combination of actions should a solutions architect take to ensure image processing can scale to handle the load? (Choose three.)

Options

• AUpload files from the mobile software directly to Amazon S3. Use S3 event notifications to create
• BUpload files from the mobile software directly to Amazon S3. Use S3 event notifications to create
• CInvoke an AWS Lambda function to perform image processing when a message is available in
• DInvoke an S3 Batch Operations job to perform image processing when a message is available in
• ESend a push notification to the mobile app by using Amazon Simple Notification Service (Amazon
• FSend a push notification to the mobile app by using Amazon Simple Email Service (Amazon SES)

Explanation

The company needs a scalable solution for processing image uploads from mobile devices with peak usage patterns, and users must be notified upon completion.

Common mistakes.

• A. Directly invoking an AWS Step Functions state machine for each upload without a queue can be less efficient and potentially lead to throttling or higher costs for simple, high-volume event processing compared to SQS and Lambda.
• D. S3 Batch Operations are designed for performing large-scale operations on existing S3 objects, not for real-time, event-driven processing of newly uploaded individual objects through a queue.
• F. Amazon SES is an email service, not a service for sending push notifications directly to mobile applications; Amazon SNS is the appropriate service for mobile push notifications.

Concept tested. Serverless event-driven image processing with notifications

Reference. https://docs.aws.amazon.com/lambda/latest/dg/with-sqs.html

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