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Amazon SAA-C03 Exam Syllabus Topics:

Section	Weight	Objectives
Design Cost-Optimized Architectures	20%	- Control and monitor costs 1. Cost management tools and alerts 2. Resource tagging and allocation - Design cost-effective compute and network solutions 1. Data transfer cost optimization 2. Serverless and pay-as-you-go models 3. Right-sizing and reserved instances - Identify cost-effective storage solutions 1. Data retention and archiving 2. Storage classes and lifecycle policies
Design Resilient Architectures	26%	- Design highly available and fault-tolerant architectures 1. Replication and disaster recovery strategies 2. Regions, Availability Zones, and edge locations 3. Load balancing and auto scaling - Design for reliability and recovery 1. Backup and restore mechanisms 2. Failover and failback processes - Design decoupled and loosely coupled systems 1. Messaging and queue services 2. Event-driven architectures 3. Serverless and managed service integration
Design Secure Architectures	30%	- Design secure workloads and applications 1. Compliance and governance controls 2. Data protection and encryption (at rest/in transit) 3. Network security (VPC, security groups, NACLs) - Design for security and threat detection 1. Incident response and security automation 2. Monitoring and logging services - Design secure access to AWS resources 1. Identity and access management (IAM, IAM Identity Center) 2. Shared responsibility model 3. Security best practices and least privilege 4. Multi-account access and control
Design High-Performing Architectures	24%	- Design high-performance compute solutions 1. Instance types and sizing 2. Compute options (EC2, Lambda, ECS, EKS) 3. Scaling and performance optimization - Design high-performance networking solutions 1. Latency reduction and throughput optimization 2. Global acceleration and routing 3. Network architecture and connectivity - Design high-performance storage solutions 1. Storage performance and durability 2. Storage types (object, block, file) 3. Caching and content delivery

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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q670-Q675):

NEW QUESTION # 670
A company is developing a SaaS solution for customers. The solution runs on Amazon EC2 instances that have Amazon Elastic Block Store (Amazon EBS) volumes attached.
Within the SaaS application, customers can request how much storage they need. The application needs to allocate the amount of block storage each customer requests.
A solutions architect must design an operationally efficient solution that meets the storage scaling requirement.
Which solution will meet these requirements MOST cost-effectively?

A. Invoke an AWS Lambda function to increase the size of EBS volumes based on user input by using EBS Elastic Volumes.
B. Migrate the data from the EBS volumes to an Amazon FSx for Windows File Server file system. Invoke an AWS Lambda function to increase the capacity of the file system based on user input.
C. Migrate the data from the EBS volumes to an Amazon Elastic File System (Amazon EFS) file system.
Use the EFS Standard storage class. Invoke an AWS Lambda function to increase the EFS volume capacity based on user input.
D. Migrate the data from the EBS volumes to an Amazon S3 bucket. Use the Amazon S3 Standard storage class.

Answer: A

Explanation:
EBS Elastic Volumes allow you to dynamically increase storage size, adjust performance, and change volume types without downtime, supporting operational efficiency and scalability for SaaS applications that need to allocate varying storage amounts to customers.
Migrating from EBS to S3 (Option A) is not suitable since S3 is object storage, not block storage, and does not support block-level I/O required by many applications. EFS (Option B) and FSx (Option C) are shared file systems, which might add unnecessary complexity and cost, especially if the application depends on block storage semantics.
Using Lambda to automate Elastic Volumes resizing provides cost efficiency by allocating resources on demand and reduces operational overhead, aligning with AWS operational excellence and cost optimization best practices.
References:
AWS Well-Architected Framework - Operational Excellence and Cost Optimization Pillars (https://d1.
awsstatic.com/whitepapers/architecture/AWS_Well-Architected_Framework.pdf) Amazon EBS Elastic Volumes (https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ebs-expand-volume.
html)
AWS Lambda Overview (https://docs.aws.amazon.com/lambda/latest/dg/welcome.html)

NEW QUESTION # 671
A company is migrating a daily Microsoft Windows batch job from the company's on-premises environment to AWS. The current batch job runs for up to 1 hour. The company wants to modernize the batch job process for the cloud environment.
Which solution will meet these requirements with the LEAST operational overhead?

A. Create a fleet of Amazon EC2 instances in an Auto Scaling group to handle the Windows batch job processing.
B. Implement an AWS Lambda function to process the Windows batch job. Use an Amazon EventBridge rule to invoke the Lambda function.
C. Use Amazon Elastic Kubernetes Service (Amazon EKS) on Amazon EC2 instances to orchestrate Windows containers for the batch job processing.
D. Use AWS Fargate to deploy the Windows batch job as a container. Use AWS Batch to manage the batch job processing.

Answer: D

Explanation:
AWS Batch supports Windows-based jobs and automates provisioning and scaling of compute environments. Paired with AWS Fargate, it removes the need to manage infrastructure. This solution requires the least operational overhead and is cloud-native, providing flexibility and scalability.
Reference:

NEW QUESTION # 672
A company runs a web application that users access using the name www.example.com. The company manages the domain name example.com using Amazon Route 53. The company created an Amazon CloudFront distribution in front of the application and would like www.example.com to access the application through CloudFront. What is the MOST cost- effective way to achieve this?

A. Create an A record in Amazon Route 53 that points to the public IP address of the web application.
B. Create an ALIAS record in Amazon Route 53 that points to the CloudFront distribution URL.
C. Create a PTR record in Amazon Route 53 that points to the public IP address of the web application.
D. Create a CNAME record in Amazon Route 53 that points to the CloudFront distribution URL.

Answer: B

Explanation:
The most cost-effective and correct way is to create an ALIAS record in Amazon Route 53 that points to the CloudFront distribution's domain name. ALIAS records work like CNAMEs but support the apex domain (e.g., example.com) and do not incur extra DNS query charges for AWS targets. This integrates seamlessly with CloudFront, ensuring www.example.com routes through the distribution efficiently.

NEW QUESTION # 673
A company is deploying an application in three AWS Regions using an Application Load Balancer. Amazon Route 53 will be used to distribute traffic between these Regions. Which Route
53 configuration should a solutions architect use to provide the MOST high-performing experience?

A. Create a CNAME record with a geoproximity policy.
B. Create a CNAME record with a failover policy.
C. Create an A record with a geolocation policy.
D. Create an A record with a latency policy.

Answer: D

Explanation:
Latency-based routing in Amazon Route 53 is designed to route users to the Region that provides the lowest network latency, based on Amazon's measurements of latency between AWS Regions and users' networks. For applications deployed in multiple Regions, this provides the highest performance experience for global users.
Therefore, creating an A record with a latency routing policy is the correct choice.

NEW QUESTION # 674
A company has workloads that run on AWS. Each workload has a separate Amazon RDS database. A security audit finds that the company does not meet a requirement to rotate the RDS master user credentials every 30 days. Each RDS DB instance must also have a different set of credentials that are accessible only by the relevant application layer and by the team that supports the workload. Which solution will meet these requirements with the LEAST operational overhead?

A. Use AWS Secrets Manager to set up RDS password management. Use a combination of IAM policies and Secrets Manager policies to restrict access to the credentials.
B. Create an Amazon Simple Notification Service (Amazon SNS) topic for each workload. Create a scheduled AWS Lambda function that rotates the RDS master user credentials every 30 days.
Configure the Lambda function to publish the new credentials to the SNS topic for each application and team.
C. Create an Amazon S3 bucket that uses AWS Key Management Service (AWS KMS) for encryption. Create a scheduled AWS Lambda function that rotates the RDS master user credentials every 30 days. Configure the Lambda function to push the new credentials to the S3 bucket. Use KMS key policies to restrict access to the credentials.
D. Use AWS Secrets Manager to set up RDS password management. Use a combination of IAM policies and RDS policies to restrict access to the credentials.

Answer: A

Explanation:
AWS Secrets Manager can automatically rotate RDS master user credentials and store unique credentials for each database. By combining IAM policies with Secrets Manager resource policies, access to each secret can be restricted to the relevant application and support team.
This approach provides automated rotation and fine-grained access control with minimal operational overhead.

NEW QUESTION # 675
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