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Amazon SAA-C03 Exam - 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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Aaron
3 months ago
I agree, A and B are the best choices for performance!
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Lenna
3 months ago
A and B sound right, but I’m surprised D is even an option here.
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Roosevelt
3 months ago
Wait, why would you use EC2? Seems outdated for this scenario.
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Fairy
4 months ago
I think E could work too, but not sure about the scalability.
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Jackie
4 months ago
Definitely go with A and B for serverless!
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Geraldine
4 months ago
I vaguely recall that AWS DMS is more for database migrations, so I don't think that's the right fit here.
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Caprice
4 months ago
I feel like we practiced a similar question where EC2 was mentioned, but it doesn't seem serverless enough for this case.
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Lyda
4 months ago
I think Kinesis Data Firehose is definitely a good choice for ingestion, but I’m torn between Lambda and Fargate for processing.
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Ming
5 months ago
I remember we discussed using AWS Lambda for serverless processing, but I'm not sure if Step Functions are necessary for this scenario.
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Leonora
5 months ago
This seems straightforward. I'd go with Kinesis Data Firehose for ingestion and Lambda with Step Functions to handle the processing. That's a classic serverless architecture that should scale well and improve performance. I'm confident I can put together a solid solution for this.
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Hillary
5 months ago
Okay, I've got a plan. I'd use Kinesis Data Firehose to ingest the data, since it's designed for real-time streaming. Then I'd leverage Lambda and Step Functions to process the data in a scalable, serverless way. That should help address the high latency issue.
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Verdell
5 months ago
Hmm, this is a tricky one. I'm a bit confused about the difference between Kinesis Data Firehose and DMS. And I'm not sure if EC2 Auto Scaling or Fargate would be the best approach for a serverless solution. I'll need to review my AWS service knowledge before attempting this.
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Leontine
5 months ago
This looks like a classic AWS architecture design question. I'd start by thinking about the key requirements - scalable, serverless, and enhanced performance. Kinesis Data Firehose and Lambda with Step Functions seem like good options to explore.
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Ronnie
5 months ago
Wait, what about the e-commerce site listing fees and web development costs? Aren't those important factors to consider when determining the overall campaign costs? I'm a bit confused about what information is truly necessary here.
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Niesha
5 months ago
I vaguely remember something about user limits in groups, but I'm not sure. Did we practice questions on this?
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Jacquelyne
5 months ago
Hmm, I'm a bit unsure about this one. Should I focus more on the impact and flow of the incident or the underlying risk factors? I'll need to think through the best approach to address all the key components.
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Carri
9 months 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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Albert
8 months ago
Providencia: That sounds like a solid plan to improve performance and reduce latency.
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Providencia
9 months ago
User 2: And they could also use Amazon Kinesis Data Firehose to load the data into a data store.
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Portia
9 months ago
User 1: They could use AWS Lambda to process the data in real-time.
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Galen
10 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
9 months ago
Avoid using Auto Scaling EC2 instances for simplicity
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Berry
9 months ago
Utilize Fargate to run the job on the data
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Oren
9 months ago
Use Lambda to process the data in near-real-time
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Malcolm
10 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
9 months ago
User 2: Maybe we should consider using Kinesis Data Streams and Lambda instead.
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Scot
9 months ago
User 1: I agree, DMS is not the right choice for real-time streaming.
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Gabriele
11 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
11 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
10 months ago
Armanda: Absolutely, a serverless approach can provide the flexibility and scalability needed for near-real-time streaming applications.
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Gwenn
10 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
10 months ago
User 2: Definitely, those options should help improve performance and scalability for the streaming application.
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Mirta
10 months ago
User 1: I agree, using Lambda and Fargate for a serverless solution sounds like a good idea.
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Dean
11 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
11 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
11 months ago
I think we should use Amazon Kinesis Data Firehose to ingest the data.
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