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Amazon SAA-C03 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Design Secure Architectures	30%	- Determine appropriate data security controls 1. Data classification 2. Amazon Macie and GuardDuty 3. Data encryption strategies 4. Data backup and recovery - Design secure access to AWS resources 1. Identity federation 2. IAM policies and roles 3. Multi-factor authentication (MFA) 4. AWS Organizations and SCPs - Design secure workloads and applications 1. Encryption at rest and in transit 2. AWS WAF and Shield 3. AWS KMS and CloudHSM 4. Security groups and NACLs
Topic 2: Design Resilient Architectures	26%	- Design highly available and/or fault-tolerant architectures 1. AWS Global Accelerator 2. Multi-AZ deployments 3. Amazon Route 53 routing policies 4. Multi-Region architectures 5. Disaster recovery strategies (backup/restore, pilot light, warm standby, multi-site) - Design scalable and loosely coupled architectures 1. Amazon SQS and SNS 2. Amazon EventBridge 3. Amazon API Gateway 4. Elastic Load Balancing 5. Auto Scaling groups
Topic 3: Design Cost-Optimized Architectures	20%	- Design cost-optimized storage solutions 1. S3 storage classes and lifecycle policies 2. S3 Intelligent-Tiering 3. EFS cost optimization 4. EBS volume type selection - Design cost-optimized network architectures 1. VPC endpoints to reduce NAT costs 2. AWS Direct Connect for cost optimization 3. CloudFront to reduce origin load 4. Data transfer costs - Design cost-optimized database solutions 1. Aurora Serverless 2. DynamoDB capacity modes (On-demand vs Provisioned) 3. ElastiCache for caching 4. RDS Reserved Instances - Design cost-optimized compute solutions 1. EC2 purchasing options (On-Demand, Reserved, Spot, Savings Plans) 2. AWS Lambda pricing model 3. Right-sizing instances 4. Auto Scaling for cost optimization
Topic 4: Design High-Performing Architectures	24%	- Determine high-performing data ingestion and transformation solutions 1. Amazon MSK 2. AWS Data Pipeline 3. AWS Glue 4. Amazon Kinesis - Design high-performing and elastic compute solutions 1. Amazon ECS and EKS 2. Amazon EC2 instance types and families 3. AWS Lambda 4. AWS Elastic Beanstalk - Determine high-performing and/or scalable network architectures 1. AWS Global Accelerator 2. VPC endpoints 3. AWS Direct Connect 4. Amazon Route 53 5. Amazon CloudFront - Determine high-performing and/or scalable storage solutions 1. Amazon FSx 2. Amazon EFS 3. Amazon EBS volume types 4. Amazon S3 storage classes and lifecycle policies 5. Instance Store - Determine high-performing database solutions 1. Amazon DynamoDB 2. Amazon RDS and Aurora 3. Amazon ElastiCache (Redis/Memcached) 4. Amazon Redshift

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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q249-Q254):

NEW QUESTION # 249
A company wants to move a multi-tiered application from on premises to the AWS Cloud to improve the application's performance. The application consists of application tiers that communicate with each other by way of RESTful services. Transactions are dropped when one tier becomes overloaded. A solutions architect must design a solution that resolves these issues and modernizes the application.
Which solution meets these requirements and is the MOST operationally efficient?

A. Use Amazon Simple Notification Service (Amazon SNS) to handle the messaging between application servers running on Amazon EC2 in an Auto Scaling group. Use Amazon CloudWatch to monitor the SNS queue length and scale up and down as required.
B. Use Amazon Simple Queue Service (Amazon SQS) to handle the messaging between application servers running on Amazon EC2 in an Auto Scaling group. Use Amazon CloudWatch to monitor the SQS queue length and scale up when communication failures are detected.
C. Use Amazon CloudWatch metrics to analyze the application performance history to determine the server's peak utilization during the performance failures. Increase the size of the application server's Amazon EC2 instances to meet the peak requirements.
D. Use Amazon API Gateway and direct transactions to the AWS Lambda functions as the application layer. Use Amazon Simple Queue Service (Amazon SQS) as the communication layer between application services.

Answer: D

Explanation:
https://aws.amazon.com/getting-started/hands-on/build-serverless-web-app-lambda-apigateway-s3-dynamodb-co Build a Serverless Web Application with AWS Lambda, Amazon API Gateway, AWS Amplify, Amazon DynamoDB, and Amazon Cognito. This example showed similar setup as question: Build a Serverless Web Application with AWS Lambda, Amazon API Gateway, AWS Amplify, Amazon DynamoDB, and Amazon Cognito

NEW QUESTION # 250
A company hosts an application on AWS that uses an Amazon S3 bucket and an Amazon Aurora database. The company wants to implement a multi-Region disaster recovery (DR) strategy that minimizes potential data loss. Which solution will meet these requirements?

A. Create an Aurora read replica in a second Availability Zone within the same AWS Region. Enable S3 Versioning for the bucket.
B. Create an Aurora read replica in a second AWS Region. Configure AWS Backup to create continuous backups of the S3 bucket to a second bucket in a second Availability Zone.
C. Enable Aurora native database backups across multiple AWS Regions. Use S3 cross-account backups within the company's local Region.
D. Migrate the database to an Aurora global database. Create a second S3 bucket in a second Region. Configure Cross-Region Replication.

Answer: D

Explanation:
Aurora Global Database: Provides cross-Region disaster recovery with minimal data loss (<1 second replication latency).
S3 Cross-Region Replication (CRR): Automatically replicates data between buckets in different Regions.
"Aurora Global Database replicates your data with typically under one second of latency to secondary Regions."
"Amazon S3 Cross-Region Replication automatically replicates objects across buckets in different AWS Regions." This meets the multi-Region DR requirement with minimal data loss.

NEW QUESTION # 251
A company has a multi-tier application deployed on several Amazon EC2 instances in an Auto Scaling group.
An Amazon RDS for Oracle instance is the application's data layer that uses Oracle-specific PL/SQL functions. Traffic to the application has been steadily increasing. This is causing the EC2 instances to become overloaded and the RDS instance to run out of storage. The Auto Scaling group does not have any scaling metrics and defines the minimum healthy instance count only. The company predicts that traffic will continue to increase at a steady but unpredictable rate before levelling off.
What should a solutions architect do to ensure the system can automatically scale for the increased traffic?
(Select TWO.)

A. Configure the Auto Scaling group to use the average CPU as the scaling metric
B. Configure storage Auto Scaling on the RDS for Oracle Instance.
C. Configure an alarm on the RDS for Oracle Instance for low free storage space
D. Configure the Auto Scaling group to use the average free memory as the seeing metric
E. Migrate the database to Amazon Aurora to use Auto Scaling storage.

Answer: B,C

NEW QUESTION # 252
A company has applications that run on Amazon EC2 instances in a VPC One of the applications needs to call the Amazon S3 API to store and read objects. According to the company's security regulations, no traffic from the applications is allowed to travel across the internet.
Which solution will meet these requirements?

A. Configure an S3 gateway endpoint.
B. Create an S3 bucket in the same AWS Region as the EC2 instances.
C. Configure a NAT gateway in the same subnet as the EC2 instances
D. Create an S3 bucket in a private subnet.

Answer: A

Explanation:
* VPC Endpoint for S3: A gateway endpoint for Amazon S3 enables you to privately connect your VPC to S3 without requiring an internet gateway, NAT device, VPN connection, or AWS Direct Connect connection.
* Configuration Steps:
* In the VPC console, navigate to "Endpoints" and create a new endpoint.
* Select the service name for S3 (com.amazonaws.region.s3).
* Choose the VPC and the subnets where your EC2 instances are running.
* Update the route tables for the selected subnets to include a route pointing to the endpoint.
* Security Compliance: By configuring an S3 gateway endpoint, all traffic between the VPC and S3 stays within the AWS network, complying with the company's security regulations to avoid internet traversal.
References:
* VPC Endpoints for Amazon S3

NEW QUESTION # 253
A company has an AWS Lambda function and an Amazon S3 bucket. A solutions architect creates an IAM role that has S3:GetObject and S3:ListBucket permissions and configures it as the Lambda function execution role. The function must write logs to an Amazon CloudWatch Logs log group when the function is invoked.
Which solution will meet this requirement?

A. Update the existing IAM role to attach the logs:GetLogEvents IAM policy.
B. Create a new IAM role for the S3 bucket and grant the role the logs:CreateLogGroup, logs:
CreateLogStream, and logs:PutLogEvents permissions.
C. Update the IAM policy that is attached to the existing IAM role to include the logs:CreateLogGroup, logs:CreateLogStream, and logs:PutLogEvents permissions.
D. Create an S3 bucket policy that allows the existing IAM role to access the bucket and to write logs to the bucket.

Answer: C

Explanation:
The Lambda function already has an execution role, so the correct fix is toadd CloudWatch Logs permissions to that same role. AWS documentation lists the required permissions for a Lambda function to write logs: logs:
CreateLogGroup, logs:CreateLogStream, and logs:PutLogEvents. A separate role for the S3 bucket would not help because Lambda uses its own execution role when it runs. An S3 bucket policy is unrelated to CloudWatch Logs logging. The logs:GetLogEvents permission is for reading logs, not writing them. Updating the existing execution role is the least-complex and correct solution.

NEW QUESTION # 254
......

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