Exam AWS Certified Cloud Practitioner topic 1 question 21 discussion

Why there're so much controversial questions

Data pipeline is not relevant for this question - it moves data between AWS compute / storage services and on prem data.

Option A is correct

Amazon Simple Queue Service (Amazon SQS) and AWS Lambda

Amazon SQS is a fully managed message queuing service that enables you to decouple and scale microservices, distributed systems, and serverless applications. It allows for managing and queuing hundreds or thousands of requests, making it ideal for handling multiple simultaneous user requests. AWS Lambda is a serverless compute service that automatically scales with the number of requests, so it can process each queued message individually, efficiently handling concurrent requests without managing infrastructure.

no discussion

The most suitable answer here is A. Amazon Simple Queue Service (Amazon SQS) and AWS Lambda. Here's why this combination is a strong fit for the scenario: Why SQS and Lambda work well together: Decoupling: SQS acts as a buffer, storing incoming requests and decoupling the request generation from the actual processing. This prevents the backend from being overwhelmed. Scalability: Lambda functions can automatically scale up or down based on the volume of messages in the SQS queue. This ensures efficient resource utilization to match demand. Asynchronous Processing: This architecture allows for asynchronous handling of requests. Users don't have to wait for immediate responses, improving responsiveness. Fault Tolerance: If a Lambda function fails, SQS retains the message for retry, adding resilience.

A. Amazon Simple Queue Service (Amazon SQS) and AWS Lambda. Here's why: By combining Amazon SQS and AWS Lambda, the company can achieve efficient and scalable processing of hundreds of requests from different users. SQS acts as a buffer for incoming requests, ensuring that they are processed reliably, while Lambda functions can be invoked in response to messages in the queue, processing them in a scalable and cost-effective manner. This architecture allows for decoupling between the request producers and the request consumers, providing flexibility, reliability, and scalability.

A makes sense to me

I will go with A and not B as : A) SQS to handle requests and lambda to process those. B)AWS Data Pipeline is a web service that you can use to automate the movement and transformation of data.(Doesn't make sense for this question)

Option B is correct. SQS is from Producer to End User / Customers. See https://aws.amazon.com/sqs/ diagram shows clearly this concept. Therefore, I selected Data pipeline, a web service that you can use to automate the movement and transformation of data. With AWS Data Pipeline, you can define data-driven workflows, so that tasks can be dependent on the successful completion of previous tasks. You define the parameters of your data transformations and AWS Data Pipeline enforces the logic that you've set up. Please let me know your thoughts. AWS Data Pipeline also helps create EC2 instances flexibly.

should be A

SQS is correct

Amazon Simple Queue Service (Amazon SQS) and AWS Lambda

A is better option

Option A (Amazon SQS and AWS Lambda) provides the necessary scalability, reliability, and operational efficiency for processing requests from different users in a distributed and decoupled manner. The other options do not offer the same level of suitability for this specific use case.

AWS Data Pipeline is a web service that helps you reliably process and move data between different AWS compute and storage services, as well as on-premises data sources, at specified intervals.