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Amazon SAA-C03 Exam Syllabus Topics:

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

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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q545-Q550):

NEW QUESTION # 545
A solutions architect is designing a two-tier web application. The application consists of a public- facing web tier hosted on Amazon EC2 in public subnets. The database tier consists of Microsoft SQL Server running on Amazon EC2 in a private subnet. Security is a high priority for the company. How should security groups be configured in this situation? (Choose two.)

A. Configure the security group for the database tier to allow inbound traffic on port 1433 from the security group for the web tier.
B. Configure the security group for the web tier to allow inbound traffic on port 443 from 0.0.0.0/0.
C. Configure the security group for the database tier to allow outbound traffic on ports 443 and 1433 to the security group for the web tier.
D. Configure the security group for the web tier to allow outbound traffic on port 443 from 0.0.0.0/0.
E. Configure the security group for the database tier to allow inbound traffic on ports 443 and 1433 from the security group for the web tier.

Answer: A,B

Explanation:
"Security groups create an outbound rule for every inbound rule." Not completely right. Statefull does NOT mean that if you create an inbound (or outbound) rule, it will create an outbound (or inbound) rule. What it does mean is: suppose you create an inbound rule on port 443 for the X ip.
When a request enters on port 443 from X ip, it will allow traffic out for that request in the port
443. However, if you look at the outbound rules, there will not be any outbound rule on port 443 unless explicitly create it. In ACLs, which are stateless, you would have to create an inbound rule to allow incoming requests and an outbound rule to allow your application responds to those incoming requests.
https://docs.aws.amazon.com/vpc/latest/userguide/VPC_SecurityGroups.html#SecurityGroupRul es

NEW QUESTION # 546
A serverless application uses Amazon API Gateway. AWS Lambda, and Amazon DynamoDB. The Lambda function needs permissions to read and write to the DynamoDB table.
Which solution will give the Lambda function access to the DynamoDB table MOST securely?

A. Create an 1AM role that includes DynamoDB as a trusted service. Attach a policy to the role that allows read and write access from the Lambda function. Update the code of the Lambda function to attach to the new role as an execution role.
B. Create an 1AM role that includes Lambda as a trusted service. Attach a policy to the role that allows read and write access to the DynamoDB table. Update the configuration of the Lambda function to use the new role as the execution role.
C. Create an 1AM user with programmatic access to the Lambda function. Attach a policy to the user that allows read and write access to the DynamoDB table. Store the access_key_id and secret_access_key parameters as part of the Lambda environment variables. Ensure that other AWS users do not have read and write access to the Lambda function configuration
D. Create an 1AM user with programmatic access to the Lambda function. Attach a policy to the user that allows read and write access to the DynamoDB table. Store the access_key_id and secret_access_key parameters in AWS Systems Manager Parameter Store as secure string parameters. Update the Lambda function code to retrieve the secure string parameters before connecting to the DynamoDB table.

Answer: B

Explanation:
Option B suggests creating an IAM role that includes Lambda as a trusted service, meaning the role is specifically designed for Lambda functions. The role should have a policy attached to it that grants the required read and write access to the DynamoDB table.

NEW QUESTION # 547
A company has a dynamic web application hosted on two Amazon EC2 instances. The company has its own SSL certificate, which is on each instance to perform SSL termination.
There has been an increase in traffic recently, and the operations team determined that SSL encryption and decryption is causing the compute capacity of the web servers to reach their maximum limit.
What should a solutions architect do to increase the application's performance?

A. Create an Amazon S3 bucket Migrate the SSL certificate to the S3 bucket Configure the EC2 instances to reference the bucket for SSL termination
B. Create another EC2 instance as a proxy server Migrate the SSL certificate to the new instance and configure it to direct connections to the existing EC2 instances
C. Import the SSL certificate into AWS Certificate Manager (ACM) Create an Application Load Balancer with an HTTPS listener that uses the SSL certificate from ACM
D. Create a new SSL certificate using AWS Certificate Manager (ACM) install the ACM certificate on each instance

Answer: C

Explanation:
https://aws.amazon.com/certificate-manager/:
"With AWS Certificate Manager, you can quickly request a certificate, deploy it on ACM-integrated AWS resources, such as Elastic Load Balancers, Amazon CloudFront distributions, and APIs on API Gateway, and let AWS Certificate Manager handle certificate renewals. It also enables you to create private certificates for your internal resources and manage the certificate lifecycle centrally."

NEW QUESTION # 548
A financial services company needs to store and manage trading documentation. The documentation includes real-time trade confirmation data, financial statements, and settlement documents that frequently exceed 1 MB in size. The company's current provisioned database solution stores and manages this documentation. This current solution experiences high-volume trading activity during market hours but very low activity during off-hours.
The company currently uses a provisioned database solution that is sized to handle the load for peak trading hours. This solution results in significant unused capacity during off-hours. The company needs a solution that will maintain performance during peak hours.
Which solution will meet these requirements MOST cost-effectively?

A. Deploy Amazon DocumentDB serverless with automatic capacity scaling.
B. Deploy Amazon DynamoDB with auto scaling.
C. Deploy a MongoDB cluster on Amazon EC2 instances in an Auto Scaling group.
D. Deploy Amazon RDS for MySQL on Reserved Instances with read replicas for scaling.

Answer: A

Explanation:
Amazon DocumentDB serverless is the most cost-effective managed option for this workload because the data is document-oriented, documents frequently exceed 1 MB, and usage changes significantly between market hours and off-hours. DocumentDB supports larger document sizes than DynamoDB items, while DynamoDB has a 400 KB item size limit and is therefore unsuitable for documents frequently larger than 1 MB. Serverless capacity scaling allows the database to scale up during high-volume trading periods and scale down during quiet periods, reducing wasted provisioned capacity. RDS Reserved Instances still require fixed capacity and are less suitable for document-style workloads. Self-managed MongoDB on EC2 increases operational overhead and is not the best managed AWS architecture.

NEW QUESTION # 549
A company hosts an application on AWS. The application has generated approximately 2.5 TB of data over the previous 12 years. The company currently stores the data on Amazon EBS volumes.
The company wants a cost-effective backup solution for long-term storage. The company must be able to retrieve the data within minutes when required for audits.
Which solution will meet these requirements?

A. Create an Amazon S3 bucket. Use the S3 Glacier Flexible Retrieval storage class to back up the data.
B. Create an Amazon Elastic File System (Amazon EFS) file system to back up the data.
C. Create an Amazon S3 bucket. Use the S3 Glacier Deep Archive storage class to back up the data.
D. Create EBS snapshots to back up the data.

Answer: A

Explanation:
Amazon S3 Glacier Flexible Retrieval is a low-cost archival storage class that supports retrieval of data within minutes (expedited access ~1-5 minutes), making it ideal for audit scenarios where occasional, quick access to archived data is required. In contrast, Glacier Deep Archive takes hours to retrieve.
Reference: AWS Documentation - Amazon S3 Glacier Flexible Retrieval

NEW QUESTION # 550
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