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Amazon SAA-C03 Exam Syllabus Topics:

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

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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q397-Q402):

NEW QUESTION # 397
A company is migrating its workloads to AWS. The company has sensitive and critical data in on-premises relational databases that run on SQL Server instances. The company wants to use the AWS Cloud to increase security and reduce operational overhead for the databases. Which solution will meet these requirements?

A. Migrate the data to an Amazon S3 bucket Use Amazon Macie to ensure data security
B. Migrate the databases to Amazon EC2 instances. Use an AWS Key Management Service (AWS KMS) AWS managed key for encryption.
C. Migrate the databases to an Amazon DynamoDB table. Use Amazon CloudWatch Logs to ensure data security
D. Migrate the databases to a Multi-AZ Amazon RDS for SQL Server DB instance Use an AWS Key Management Service (AWS KMS) AWS managed key for encryption.

Answer: D

Explanation:
Understanding the Requirement: The company needs to migrate sensitive and critical data from on-premises SQL Server databases to AWS, aiming to increase security and reduce operational overhead.
Analysis of Options:
EC2 Instances with KMS: Running SQL Server on EC2 provides control but requires significant operational overhead for management, backups, patching, and high availability.
Multi-AZ Amazon RDS for SQL Server with KMS: Amazon RDS for SQL Server offers managed database services, reducing operational overhead. Multi-AZ deployment provides high availability, and KMS encryption ensures data security.
Amazon S3 and Macie: S3 is not a suitable replacement for relational databases, and Macie is used for data security and compliance but not for database operations.
Amazon DynamoDB and CloudWatch Logs: DynamoDB is a NoSQL database and does not support SQL Server workloads directly. CloudWatch Logs are used for monitoring, not for ensuring database security.
Best Solution:
Multi-AZ Amazon RDS for SQL Server with KMS: This solution meets the requirements for security, high availability, and reduced operational overhead by using a managed database service with encryption.
Reference:
Amazon RDS for SQL Server
AWS Key Management Service (KMS)

NEW QUESTION # 398
A company has concerns about its Amazon RDS database. The workload is unpredictable, and periodic floods of new user registrations can cause the company to run out of storage. The database runs on a general purpose instance with 300 GiB of storage. What should a solutions architect recommend to the company?

A. Enable RDS storage autoscaling.
B. Configure an AWS Lambda function to increase RDS storage by 1 GiB when storage space is low.
C. Schedule vertical instance scaling.
D. Change to a storage optimized instance type and vertically scale the database.

Answer: A

Explanation:
RDS storage autoscaling automatically increases the allocated storage when the database approaches its storage limit. This handles unpredictable workloads and sudden spikes in data without manual intervention, ensuring continuous availability and minimizing operational overhead.

NEW QUESTION # 399
[Design Secure Architectures]
A company hosts a multi-tier web application on Amazon Linux Amazon EC2 instances behind an Application Load Balancer. The instances run in an Auto Scaling group across multiple Availability Zones. The company observes that the Auto Scaling group launches more On-Demand Instances when the application's end users access high volumes of static web content. The company wants to optimize cost.
What should a solutions architect do to redesign the application MOST cost-effectively?

A. Update the Auto Scaling group to use Reserved Instances instead of On-Demand Instances.
B. Create an AWS Lambda function behind an Amazon API Gateway API to host the static website contents.
C. Update the Auto Scaling group to scale by launching Spot Instances instead of On-Demand Instances.
D. Create an Amazon CloudFront distribution to host the static web contents from an Amazon S3 bucket.

Answer: D

Explanation:
This answer is correct because it meets the requirements of optimizing cost and reducing the workload on the database. Amazon CloudFront is a content delivery network (CDN) service that speeds up distribution of your static and dynamic web content, such as .html, .css, .js, and image files, to your users. CloudFront delivers your content through a worldwide network of data centers called edge locations. When a user requests content that you're serving with CloudFront, the request is routed to the edge location that providesthe lowest latency (time delay), so that content is delivered with the best possible performance. You can create an Amazon CloudFront distribution to host the static web contents from an Amazon S3 bucket, which is an origin that you define for CloudFront. This way, you can offload the requests for static web content from your EC2 instances to CloudFront, which can improve the performance and availability of your website, and reduce the cost of running your EC2 instances.
Reference:
https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/Introduction.html
https://docs.aws.amazon.com/AmazonS3/latest/userguide/WebsiteHosting.html

NEW QUESTION # 400
A company wants to create an Amazon EMR cluster that multiple teams will use. The company wants to ensure that each team ' s big data workloads can access only the AWS services that each team needs to interact with. The company does not want the workloads to have access to Instance Metadata Service Version
2 (IMDSv2) on the cluster ' s underlying EC2 instances.
Which solution will meet these requirements?

A. Create an EC2 IAM instance profile that has the required permissions for each team. Use the instance profile to submit the big data workloads.
B. Configure interface VPC endpoints for each AWS service that the teams need. Use the required interface VPC endpoints to submit the big data workloads.
C. Create an EMR security configuration that has the EnableApplicationScoped IAM Role option set to false. Use the security configuration to submit the big data workloads.
D. Create EMR runtime roles. Configure the cluster to use the runtime roles. Use the runtime roles to submit the big data workloads.

Answer: D

NEW QUESTION # 401
A hospital is designing a new application that gathers symptoms from patients. The hospital has decided to use Amazon Simple Queue Service (Amazon SOS) and Amazon Simple Notification Service (Amazon SNS) in the architecture.
A solutions architect is reviewing the infrastructure design Data must be encrypted at test and in transit. Only authorized personnel of the hospital should be able to access the data.
Which combination of steps should the solutions architect take to meet these requirements? (Select TWO.)

A. Turn on server-side encryption on the SNS components by using an AWS Key Management Service (AWS KMS) customer managed key Apply a key policy to restrict key usage to a set of authorized principals.
B. Turn on encryption on the SNS components Update the default key policy to restrict key usage to a set of authorized principals. Set a condition in the topic pokey to allow only encrypted connections over TLS.
C. Turn on server-side encryption on the SOS components by using an AWS Key Management Service (AWS KMS) customer managed key. Apply an IAM pokey to restrict key usage to a set of authorized principals. Set a condition in the queue pokey to allow only encrypted connections over TLS
D. Turn on server-side encryption on the SOS components by using an AWS Key Management Service (AWS KMS) customer managed key Apply a key pokey to restrict key usage to a set of authorized principals. Set a condition in the queue pokey to allow only encrypted connections over TLS.
E. Turn on server-side encryption on the SQS components Update tie default key policy to restrict key usage to a set of authorized principals.

Answer: A,D

NEW QUESTION # 402
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