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Amazon Exam SAA-C03 Topic 1 Question 37 Discussion

Actual exam question for Amazon's SAA-C03 exam
Question #: 37
Topic #: 1
[All SAA-C03 Questions]

A company's near-real-time streaming application is running on AWS. As the data is ingested, a Job runs on the data and takes 30 minutes to complete. The workload frequently experiences high latency due to large amounts of incoming dat

a. A solutions architect needs to design a scalable and serverless solution to enhance performance.

Which combination of steps should the solutions architect take? (Select TWO.)

Show Suggested Answer Hide Answer
Suggested Answer: A

A: How do you protect your data in transit?

Best Practices:

Implement secure key and certificate management: Store encryption keys and certificates securely and rotate them at appropriate time intervals while applying strict access control; for example, by using a certificate management service, such as AWS Certificate Manager (ACM).

Enforce encryption in transit: Enforce your defined encryption requirements based on appropriate standards and recommendations to help you meet your organizational, legal, and compliance requirements.

Automate detection of unintended data access: Use tools such as GuardDuty to automatically detect attempts to move data outside of defined boundaries based on data classification level, for example, to detect a trojan that is copying data to an unknown or untrusted network using the DNS protocol.

Authenticate network communications: Verify the identity of communications by using protocols that support authentication, such as Transport Layer Security (TLS) or IPsec.

https://wa.aws.amazon.com/wat.question.SEC_9.en.html


by Dorian at May 30, 2024, 04:31 PM

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Carri
20 days ago
Haha, I bet the solutions architect is tired of dealing with all these streaming data issues. At least they've got a good set of AWS tools to choose from!
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Galen
1 months ago
Auto Scaling EC2 instances? That's just going to add more complexity than necessary. I'd rather go with the fully managed services like Lambda and Fargate.
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Geraldine
1 days ago
Avoid using Auto Scaling EC2 instances for simplicity
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Berry
14 days ago
Utilize Fargate to run the job on the data
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Oren
21 days ago
Use Lambda to process the data in near-real-time
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Malcolm
2 months ago
Wait, why would we use DMS here? That's for database migrations, not real-time streaming. I'd steer clear of that option if I were you.
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Ilene
14 days ago
User 2: Maybe we should consider using Kinesis Data Streams and Lambda instead.
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Scot
17 days ago
User 1: I agree, DMS is not the right choice for real-time streaming.
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Gabriele
2 months ago
Kinesis Data Firehose for ingesting the data? Definitely! And I like the idea of using Step Functions with Lambda to process it. Sounds like a solid solution.
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Wilson
2 months ago
Hmm, I think options B and E make the most sense here. Serverless Lambda and Fargate should be able to handle the scalability and performance requirements.
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Lili
27 days ago
Armanda: Absolutely, a serverless approach can provide the flexibility and scalability needed for near-real-time streaming applications.
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Gwenn
1 months ago
User 3: It's important to consider serverless options for this kind of workload to handle the high latency issues.
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Armanda
1 months ago
User 2: Definitely, those options should help improve performance and scalability for the streaming application.
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Mirta
1 months ago
User 1: I agree, using Lambda and Fargate for a serverless solution sounds like a good idea.
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Dean
2 months ago
Using AWS Lambda with AWS Step Functions sounds like a good idea. It will help us achieve scalability and serverless processing.
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Floyd
2 months ago
I agree with Adela. We should also use AWS Lambda with AWS Step Functions to process the data for better performance.
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Adela
2 months ago
I think we should use Amazon Kinesis Data Firehose to ingest the data.
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