Exam AWS Certified Solutions Architect - Associate SAA-C03 All Questions

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Exam AWS Certified Solutions Architect - Associate SAA-C03 topic 1 question 622 discussion

Exam question from Amazon's AWS Certified Solutions Architect - Associate SAA-C03

Question #: 622
Topic #: 1

[All AWS Certified Solutions Architect - Associate SAA-C03 Questions]

A company is creating a new web application for its subscribers. The application will consist of a static single page and a persistent database layer. The application will have millions of users for 4 hours in the morning, but the application will have only a few thousand users during the rest of the day. The company's data architects have requested the ability to rapidly evolve their schema.

Which solutions will meet these requirements and provide the MOST scalability? (Choose two.)

A. Deploy Amazon DynamoDB as the database solution. Provision on-demand capacity.
B. Deploy Amazon Aurora as the database solution. Choose the serverless DB engine mode.
C. Deploy Amazon DynamoDB as the database solution. Ensure that DynamoDB auto scaling is enabled.
D. Deploy the static content into an Amazon S3 bucket. Provision an Amazon CloudFront distribution with the S3 bucket as the origin.
E. Deploy the web servers for static content across a fleet of Amazon EC2 instances in Auto Scaling groups. Configure the instances to periodically refresh the content from an Amazon Elastic File System (Amazon EFS) volume.

Show Suggested Answer

Suggested Answer: AD 🗳️

by taustin2 at Sept. 23, 2023, 12:04 a.m.

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taustin2

Highly Voted 1 year, 11 months ago

Selected Answer: AD

Changing answer to A,D. DynamoDB on-demand is more scalable than DynamoDB auto-scaling.

upvoted 12 times

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bogobob

Highly Voted 1 year, 9 months ago

Selected Answer: CD

For those answering A over C, the question asks about scalability, but the text says the traffic patterns are known and don't state they will change. Both auto-scaling and on-demand can "scale", but auto-scaling is for known, on-demand is better for unknown traffic patterns. Its likely the "scalability" is more to do with the file hosting (EC2 wouldn't scale well at all vs S3)

upvoted 8 times

pentium75

1 year, 7 months ago

"Most scalability" = A. Might be more expensive, but cost is irrelevant in the question.

upvoted 4 times

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ln2718

Most Recent 4 weeks ago

Selected Answer: CD

I agree with the comments for C and D. I would go with autoscaling as a tighter fit than on-demand.

upvoted 1 times

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bora4motion

3 months ago

Selected Answer: BD

I'm going with BD. "the company's data architects have requested the ability to rapidly evolve their schema"

upvoted 1 times

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JA2018

8 months, 4 weeks ago

Selected Answer: BD

Amazon Aurora Serverless for a highly fluctuating DB workload, and S3 for static webpage

upvoted 1 times

marcosviniciuscb

4 months, 4 weeks ago

Aurora is slower than DynamoDB, Dynamo scales to millions of requests, which is what the company asks for

upvoted 1 times

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RamanAgarwal

8 months, 2 weeks ago

Cant change schema in Aurora

upvoted 1 times

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Ravee_L

1 year ago

B and D B. Deploy Amazon Aurora as the database solution. Choose the serverless DB engine mode: Aurora Serverless is an on-demand, auto-scaling configuration for Amazon Aurora.

upvoted 3 times

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a7md0

1 year, 1 month ago

Selected Answer: AD

on-demand capacity for DynamoDB since traffic is not consistent, and S3 & CloudFront for static files

upvoted 2 times

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KennethNg923

1 year, 2 months ago

Selected Answer: AD

MOST scalability - DynamoDB On-Demand > Auto Scaling + Static Content host in S3

upvoted 2 times

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NSA_Poker

1 year, 2 months ago

Selected Answer: CD

(A) is incorrect. "On-demand capacity mode is probably best when you have new tables with unknown workloads, unpredictable application traffic." We know the workload upper limit is the total amount of subscribers & we know it's busy in the morning & not so much in the afternoon. Nothing in the question says it bursts in the morning. (C) is correct. The traffic pattern is known, so prep for the morning & the exact upper boundary is the # of subscribers.

upvoted 2 times

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jaswantn

1 year, 6 months ago

For autoscaling we need to know the lower and upper limits. Anh the question says....application will have millions of users for 4 hours in the morning....how many millions , how much upper limit we need to set for to handle this much request? here we can't have exact estimation for the upper limit in autoscaling. Thus, better option is (A)

upvoted 3 times

jaswantn

1 year, 6 months ago

With autoscaling we can face throttling initially, when there is surge of requests and the load is greater than the scaling upper limit. We can gradually increase the upper limit of autoscaling and would be then able to handle the load in subsequent requests preventing ourself from using OnDemand. Thus Option (C) is more scalable as it can handle the both types of load(high & low) in efficient manner.

upvoted 1 times

JA2018

8 months, 4 weeks ago

why not Amazon Aurora Serverless?

upvoted 1 times

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1Alpha1

1 year, 6 months ago

Selected Answer: AD

AD vs CD ? 1) Please read the final sentence. Which solutions will meet these requirements and provide the "MOST" scalability? 2) It is not possible to predict an exact boundary based on the number of "millions of users". So I would choose "AD".

upvoted 4 times

NSA_Poker

1 year, 2 months ago

The exact boundary is known, the application's subscribers. Leaning towards AC now.

upvoted 1 times

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06042022

1 year, 7 months ago

Selected Answer: CD

The traffic pattern is known here.

upvoted 2 times

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awsgeek75

1 year, 7 months ago

Selected Answer: AD

A: On-demand scaling because the demand changes drastically (millions to thousands) D: S3 for static page is perfect B: Aurora is RDMS so not much rapid schema changes (it's subjective and DBA will argue but better options on the table are DynamoDB) E: Too much work and overhead

upvoted 2 times

awsgeek75

1 year, 7 months ago

To be fair, 4 hours is a strange time duration for burst traffic. 20 hours of low traffic may benefit from auto-scaling's as it is long enough to be called a "depressed" traffic mode in autoscaling config. 4 hours in the morning can also be termed as "sustained period" of burst in autoscaling. This question is not theoretical, someone who has scaled Dynamo in similar scenarios will be able to answer correctly.

upvoted 2 times

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pentium75

1 year, 7 months ago

Selected Answer: AD

Question asks for "most scalability", not cost optimization. "DynamoDB auto scaling ... modifies provisioned throughput settings only when the actual workload stays elevated or depressed for a sustained period of several minutes. ... This means that provisioned capacity is probably best for you if you have relatively predictable application traffic, run applications whose traffic is consistent, and ramps up or down gradually."

upvoted 5 times

pentium75

1 year, 7 months ago

"The on-demand pricing model is ideal for bursty, new, or unpredictable workloads whose traffic can spike in seconds or minutes, and when under-provisioned capacity would impact the user experience." Whereas on-demand capacity mode is probably best when you have new tables with unknown workloads, unpredictable application traffic and also if you only want to pay exactly for what you use. The on-demand pricing model is ideal for bursty, new, or unpredictable workloads whose traffic can spike in seconds or minutes, and when under-provisioned capacity would impact the user experience. https://docs.aws.amazon.com/wellarchitected/latest/serverless-applications-lens/capacity.html

upvoted 2 times

Salilgen

7 months, 3 weeks ago

This support C not A

upvoted 1 times

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Ashhher

1 year, 7 months ago

Selected Answer: BD

I understand the argument between A and C, but why not B?

upvoted 2 times

pentium75

1 year, 7 months ago

"Ability to rapidly evolve their schema" -> NoSQL database, schema changes in transactional databases like RDS are difficult

upvoted 5 times

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Derek_G

1 year, 7 months ago

Selected Answer: AD

Provisioned on-demand capacity: Manual: Requires manual setup and management of capacity. Cost-Effectiveness: Requires manual estimation of workload, which can result in either excess or insufficient capacity. Use Case: Suitable for relatively stable workloads with predictable capacity needs. predictable capacity needs.：4 hours in the morning,a few thousand users during the rest of the day.

upvoted 2 times

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TariqKipkemei

1 year, 8 months ago

Selected Answer: AD

rapidly evolve their schema, MOST scalability for data layer = DynamoDB with on-demand capacity. on-demand capacity mode automatically enables autoscaling. MOST scalability for single page app = Amazon CloudFront distribution with the S3 bucket as the origin.

upvoted 4 times

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