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Exam AWS Certified Developer Associate topic 1 question 328 discussion

Exam question from Amazon's AWS Certified Developer Associate
Question #: 328
Topic #: 1
[All AWS Certified Developer Associate Questions]

A development team is working on a mobile app that allows users to upload pictures to Amazon S3. The team expects the app will be used by hundreds of thousands of users during a single event simultaneously. Once the pictures are uploaded, the backend service will scan and parse the pictures for inappropriate content.

Which approach is the MOST resilient way to achieve this goal, which also smooths out temporary volume spikes for the backend service?

  • A. Develop an AWS Lambda function to check the upload folder in the S3 bucket. If new uploaded pictures are detected, the Lambda function will scan and parse them.
  • B. Once a picture is uploaded to Amazon S3, publish the event to an Amazon SQS queue. Use the queue as an event source to trigger an AWS Lambda function. In the Lambda function, scan and parse the picture.
  • C. When the user uploads a picture. invoke an API hosted in Amazon API Gateway. The API will invoke an AWS Lambda function to scan and parse the picture.
  • D. Create a state machine in AWS Step Functions to check the upload folder in the S3 bucket. If a new picture is detected, invoke an AWS Lambda function to scan and parse it.
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Suggested Answer: B 🗳️
by k1kavi1 at Nov. 26, 2022, 5:38 p.m.
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k1kavi1
Highly Voted 2 years, 5 months ago
Selected Answer: B
https://www.examtopics.com/discussions/amazon/view/28948-exam-aws-certified-developer-associate-topic-1-question-309/
upvoted 6 times
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michaldavid
Highly Voted 2 years, 5 months ago
Selected Answer: B
Too many users will be uploading so can't be A
upvoted 5 times
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Ankit1010
Most Recent 2 years, 2 months ago
B The most resilient approach to achieving this goal and handling temporary volume spikes for the backend service is to use an Amazon S3 event notification to publish the event to an Amazon SQS queue. This approach allows the backend service to handle a large number of incoming events in parallel by using an event-driven architecture.
upvoted 2 times
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