Exam AWS Certified Solutions Architect - Associate SAA-C03 topic 1 question 523 discussion

just passed yesterday 30-05-23, around 75% of the exam came from here, some with light changes.

Great work made it to the last question. Goodluck to you all

Why the suggested answer is D? I read the comments, feel A is more suitable as the requirement is to give the application the ability to retrieve the data with no impact on the baseline performance of the application. D might have affect the baseline performance, A is more effective

A - Correct. Retrieves data from multiple data sources. B - Incorrect. Lambda@Edge extends serverless processing to CloudFront, but it is typically used for content manipulation, caching, or geographic distribution. C - That works but requires a lot of things to do manually. Why C when you can do with A? D - Amazon Athena Federated Query is designed for ad hoc querying of data across different sources BUT it has impact on performance, and not operationally efficient. PS: "ad hoc" means "for this specific purpose". Such requests can lack efficiency for repetitive tasks because it's not optimized or automated, since they're naturally exploratory or tailored to specific immediate needs.

Is there anyone who has recently passed the exam who can tell me approximately how many of the original questions are in the actual exam?

let me know for most of questions that system answer are correct or comment answer are correct?

https://docs.amazonaws.cn/en_us/athena/latest/ug/connect-to-a-data-source.html

key word is most operational effective => D requires no coding

I'll go with D as ABC looks too much work or irrelevant. Although not sure how AFQ actually achieves the read without impacting performance.

Not A - Pipe Resolvers require coding, would not consider that 'operationally efficient' Not B - CloudFront caches web content at the edge, not DynamoDB query results for apps Not C - Neither API Gateway or Lambda have anything to do with DynamoDB performance D - Can do exactly that

I am not an expert but I used Bing+Gemini+Chatgbt=AAA

multiple database tables = AppSync pipeline resolvers

For an operationally efficient solution that minimizes impact on baseline performance in a microservice-based serverless web application retrieving data from multiple DynamoDB tables, Amazon CloudFront with Lambda@Edge functions (Option B) is often the most suitable choice

D is correct. There is contruction of how to retrive data from DynamoDB with Anthena https://docs.aws.amazon.com/athena/latest/ug/connect-to-a-data-source.html

The Answer is A. Some use case for AWS AppSync is Unified data access. Consolidate data from multiple databases, APIs, and microservices in a single network call, from a single endpoint, abstracting backend complexity. https://aws.amazon.com/pm/appsync/?trk=e37f908f-322e-4ebc-9def-9eafa78141b8&sc_channel=ps&ef_id=Cj0KCQjwmvSoBhDOARIsAK6aV7jtg2I6jyXBH6_uUOKRrRoLmXQxaGbwYBP0aO1-RmauWW55DuXSGTMaAnT9EALw_wcB:G:s&s_kwcid=AL!4422!3!647301987556!e!!g!!aws%20appsync!19613610159!148358960849

B - seems more operationally efficient A: example to make use of GraphQL with multi DynamoDB tables https://www.youtube.com/watch?v=HSDKN43Vx7U but it seems not the most operationally efficient to set it up D: it can be useful when needs to join multi DynamoDB tables But also "querying DynamoDB using Athena can be slower and more expensive than querying directly using DynamoDB" refer to https://medium.com/@saswat.sahoo.1988/combine-the-simplicity-of-sql-with-the-power-of-nosql-pt-2-cff1c524297e

A is correct. https://aws.amazon.com/blogs/mobile/appsync-pipeline-resolvers-2/