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Nagesh Raj
Nagesh Raj

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AWS Solutions Architect Associate Questions Decoded: What They’re Really Asking You

A company wants to migrate its workloads to AWS in a cost-effective, scalable, and highly available way…

If you’re prepping for the AWS Solutions Architect Associate exam, you already know the questions are less “What does S3 do?” and more like:

Your house is on fire, your internet is down — what’s the best cost-effective, highly available solution to deploy a global application that stores data in multiple formats while solving world hunger?

Okay, maybe not that dramatic. But you get the vibe.

The real trick isn’t just knowing the services — it’s knowing how to think like AWS. Let’s break down how these questions are structured, what they’re secretly testing, and how you can read between the lines like a cloud whisperer.


1. Every Word Is a Clue (Even the Boring Ones)

AWS loves keywords. Some are loud and flashy:

  • Cost-effective
  • Highly available
  • Durable
  • Low latency
  • Globally distributed

Others are sneakier:

  • Intermittent access → Use S3 Infrequent Access or Glacier
  • Spiky traffic → Auto Scaling
  • Decoupled → Hello, SQS/SNS
  • Stateless web tier → Load balancers + Auto Scaling
  • Horizontal scaling → Use a service that plays well with load balancers (e.g., stateless EC2 or Lambda)

Pro Tip: Read the question like a detective, not a student. You’re not answering what they ask, you’re answering what they mean.


2. It’s Not a Quiz — It’s a Design Interview

These aren’t trivia questions. They’re tiny architecture challenges. The question isn’t testing if you know what a service does — it’s testing whether you know when to use it, instead of something else.

Here’s how they sneak that in:

Question:

“A mobile gaming company needs to store user session data that must be accessible with microsecond latency. The data should automatically expire after 24 hours. Which solution is the MOST cost-effective and scalable?”

A. Amazon RDS with a scheduled cleanup job
B. Amazon S3 with lifecycle policies
C. Amazon DynamoDB with TTL enabled
D. Amazon ElastiCache for Redis with a 24-hour TTL

✅ Best Answer:
D. Amazon ElastiCache for Redis with a 24-hour TTL

Why?

  • Microsecond latency → That screams in-memory database.
  • TTL (Time-To-Live) → ElastiCache and DynamoDB both support this, but…
  • Scalability + performance at that speed → Redis wins here.
  • Cost-effective for session-based, ephemeral data → Redis is built for this use case.

What they’re really asking:
“Do you know the go-to service for ultra-low latency and temporary data, and why traditional databases would slow you down (or cost you more)?”


3. When in Doubt, Go Serverless or Managed

If two options both technically work, the one that is more managed, more scalable, and less hands-on will usually win.

Unless:

  • You need fine-grained control
  • It’s a legacy system migration
  • Or the question screams “compliance/custom config required!

Otherwise:

  • S3 > EBS for static assets
  • Lambda > EC2 for light, bursty logic
  • RDS > EC2+MySQL for standard relational needs
  • Aurora Serverless > RDS for unpredictable workloads

Translation: “You could do this on EC2… but why would you punish yourself?”


4. “Cost-Effective” ≠ “Cheapest”

This is a trap that got me the first time

Cost-effective” in AWS-speak often means:
The right balance of performance, scalability, and price.

Not just what is the cheapest service in terms of money

Example:
A startup needs to serve images globally, with low latency, but also wants to minimize cost.

  • Don’t say S3 alone.
  • Don’t say EC2 with Nginx (you monster).
  • The smart move? S3 + CloudFront — globally cached, highly available, cheap bandwidth over time.

Tip: If latency or scalability is a concern, and you’re leaning toward the cheapest option — think again.


5. How They Trick You with Too Much Info

They’ll often bury the real clue in a haystack of distractions.

Example:

“A financial services company based in Frankfurt is building a high-performance trading platform. The system must comply with local data residency laws, process large amounts of real-time data, and maintain uptime even if a single Availability Zone fails.”

This looks like a networking question… but it’s not.

Focus:

  • Frankfurt = Region choice (EU Central 1)
  • AZ failover = Multi-AZ architecture (not just single EC2 instance)
  • Real-time data = Maybe Kinesis? Not batch-processing S3.

Answer might involve:

  • Multi-AZ RDS for high availability
  • Local AZs or Outposts if ultra-low latency
  • Kinesis or MSK for real-time ingestion

How to approach it: Highlight keywords. Strike out irrelevant detail. Reverse-engineer what AWS wants you to prioritize.

📌 Final Cheat Sheet: What AWS Really Means


Thanks for reading and All the best :')

Top comments (1)

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Pravin Choudhari

Thanks Nagesh for sharing.