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Amazon SAA-C03 Exam Syllabus Topics:

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

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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q408-Q413):

NEW QUESTION # 408
A company is building a cloud-based application on AWS that will handle sensitive customer dat a. The application uses Amazon RDS for the database. Amazon S3 for object storage, and S3 Event Notifications that invoke AWS Lambda for serverless processing.
The company uses AWS 1AM Identity Center to manage user credentials. The development, testing, and operations teams need secure access to Amazon RDS and Amazon S3 while ensuring the confidentiality of sensitive customer data. The solution must comply with the principle of least privilege.
Which solution meets these requirements with the LEAST operational overhead?

A. Use 1AM roles with least privilege to grant all the teams access. Assign 1AM roles to each team with customized 1AM policies defining specific permission for Amazon RDS and S3 object access based on team responsibilities.
B. Enable 1AM Identity Center with an Identity Center directory. Create and configure permission sets with granular access to Amazon RDS and Amazon S3. Assign all the teams to groups that have specific access with the permission sets.
C. Create individual 1AM users for each member in all the teams with role-based permissions. Assign the 1AM roles with predefined policies for RDS and S3 access to each user based on user needs. Implement 1AM Access Analyzer for periodic credential evaluation.
D. Use AWS Organizations to create separate accounts for each team. Implement cross-account 1AM roles with least privilege Grant specific permission for RDS and S3 access based on team roles and responsibilities.

Answer: B

Explanation:
This solution allows for secure and least-privilege access with minimal operational overhead.
IAM Identity Center: AWS IAM Identity Center (formerly AWS SSO) enables you to centrally manage access to multiple AWS accounts and applications. By using IAM Identity Center, you can assign permission sets that define what users or groups can access, ensuring that only necessary permissions are granted.
Permission Sets: Permission sets in IAM Identity Center allow you to define granular access controls for specific services, such as Amazon RDS and S3. You can tailor these permissions to meet the needs of different teams, adhering to the principle of least privilege.
Group Management: By assigning users to groups and associating those groups with specific permission sets, you reduce the complexity and overhead of managing individual IAM roles and policies. This method also simplifies compliance and audit processes.
Why Not Other Options?:
Option A (IAM roles): While IAM roles can provide least-privilege access, managing multiple roles and policies across teams increases operational overhead compared to using IAM Identity Center.
Option C (Individual IAM users): Managing individual IAM users and roles can be cumbersome and does not scale well compared to group-based management in IAM Identity Center.
Option D (AWS Organizations with cross-account roles): Creating separate accounts and cross-account roles adds unnecessary complexity and overhead for this use case, where IAM Identity Center provides a more straightforward solution.
AWS Reference:
AWS IAM Identity Center - Overview and best practices for using IAM Identity Center.
Managing Access Permissions Using IAM Identity Center - Guide on creating and managing permission sets for secure access.

NEW QUESTION # 409
[Design High-Performing Architectures]
An online learning company is migrating to the AWS Cloud. The company maintains its student records in a PostgreSQL database. The company needs a solution in which its data is available and online across multiple AWS Regions at all times.
Which solution will meet these requirements with the LEAST amount of operational overhead?

A. Migrate the PostgreSQL database to an Amazon RDS for PostgreSQL DB instance with the Multi-AZ feature turned on.
B. Migrate the PostgreSQL database to an Amazon RDS for PostgreSQL DB instance. Create a read replica in another Region.
C. Migrate the PostgreSQL database to a PostgreSQL cluster on Amazon EC2 instances.
D. Migrate the PostgreSQL database to an Amazon RDS for PostgreSQL DB instance. Set up DB snapshots to be copied to another Region.

Answer: B

Explanation:
" online across multiple AWS Regions at all times". Currently only Read Replica supports cross-regions , Multi-AZ does not support cross-region (it works only in same region)https://aws.amazon.com/about-aws/whats-new/2018/01/amazon-rds-read-replicas-now-support-multi-az-deployments/

NEW QUESTION # 410
A company uses AWS CloudFormation to deploy IAM resources within accounts that AWS Control Tower governs. The security team wants to prevent the deployment of IAM roles that include inline policies with the following statements:
"Effect": "Allow", "Action": "*", "Resource": "*"
Which solution will meet this requirement?

A. Use AWS Control Tower detective controls to detect and delete IAM inline policies that contain these statements upon deployment.
B. Use AWS Control Tower proactive controls to block CloudFormation stacks that match these inline policy statements.
C. Use AWS Config to create a rule that detects these statements in inline IAM policies and sends a notification to the security team.
D. Use AWS Config to create a rule that detects these statements in any inline IAM policies. Configure the rule to automatically remove these statements by using the AWS-DeleteIAMInlinePolicy remediation.

Answer: B

Explanation:
Comprehensive and Detailed 250 to 300 words of Explanation (AWS documentation-based, no links):
The security requirement is preventive: "prevent the deployment" of IAM roles that contain an overly permissive inline policy (Allow on Action:* and Resource:*). Preventive enforcement should occur at deployment time so noncompliant IAM resources are blocked before they exist. In a Control Tower-governed environment where resources are provisioned through CloudFormation, the most appropriate mechanism is a proactive control that evaluates templates and denies noncompliant stack operations.
Option A matches this intent. Control Tower proactive controls are designed to provide preventative guardrails by checking resource configurations (including Infrastructure as Code deployments) against defined rules and blocking deployments that violate policy. This stops risky IAM roles from being created in the first place, which is preferable to after-the-fact detection and cleanup.
Options B, C, and D are detective or reactive patterns. Detective controls (and AWS Config rules) can identify noncompliance after resources are created, but that does not "prevent deployment." Even if remediation is automated (Option C), there is still a window where an overly permissive role exists and could be assumed or exploited. Option D only notifies, which is insufficient. Option B suggests deleting policies on deployment, but Control Tower detective controls are not intended to automatically delete deployed IAM policies; they primarily detect and report drift/noncompliance.
Therefore, A is the best solution because it enforces the requirement proactively by blocking noncompliant CloudFormation deployments, maintaining a stronger security posture and reducing operational burden associated with detection and remediation.

NEW QUESTION # 411
A company runs its workloads on Amazon Elastic Container Service (Amazon ECS). The container images that the ECS task definition uses need to be scanned for Common Vulnerabilities and Exposures (CVEs).
New container images that are created also need to be scanned.
Which solution will meet these requirements with the FEWEST changes to the workloads?

A. Store the container images in an Amazon S3 bucket. Use Amazon Macie to scan the images. Use an S3 Event Notification to initiate a Made scan for every event with an s3:ObjeclCreated:Put event type
B. Store the container images in an Amazon S3 bucket that has versioning enabled. Configure an S3 Event Notification for s3:ObjectCrealed:* events to invoke an AWS Lambda function. Configure the Lambda function to initiate an Amazon Inspector scan.
C. Deploy the workloads to Amazon Elastic Kubernetes Service (Amazon EKS). Use Amazon Elastic Container Registry (Amazon ECR) as a private image repository. Specify scan on push filters for the ECR enhanced scan.
D. Use Amazon Elastic Container Registry (Amazon ECR) as a private image repository to store the container images. Specify scan on push filters for the ECR basic scan.

Answer: D

NEW QUESTION # 412
An insurance company wants to migrate an application that calculates insurance premiums to AWS. The company must run calculations immediately when a customer submits information through the application.
The application usually takes 10 seconds to process a calculation.
Which solution will meet this requirement?

A. Upload the customer data to an Amazon S3 bucket. Start an Amazon EC2 Spot Instance to process every data upload.
B. Set up an Amazon API Gateway HTTP API to receive the data. Use an AWS Lambda function to process the data immediately.
C. Set up AWS Transfer Family to receive the customer data. Configure an Amazon EKS job to process the customer data on a schedule.
D. Upload the data to an Amazon S3 bucket. Invoke an AWS Batch job to process every customer data upload.

Answer: B

Explanation:
The critical requirement is immediate processing upon customer submission, with a typical compute duration of about 10 seconds. This is an ideal fit for a synchronous, request-driven, serverless pattern: API Gateway + AWS Lambda. API Gateway provides a managed HTTPS front door for the application, handles request validation/throttling if needed, and integrates directly with Lambda. Lambda is designed for short-lived computations, scales automatically with request volume, and can complete 10-second tasks well within typical Lambda execution limits.
Option A therefore meets the requirement with low latency and minimal operational overhead. When a customer submits data, API Gateway invokes the Lambda function immediately, and the function returns the calculated premium response. This preserves an interactive user experience and avoids provisioning or managing servers. It also handles bursts gracefully because Lambda concurrency can scale quickly, and API Gateway can absorb high request rates.
Option B is unsuitable because launching a Spot instance per upload introduces significant startup latency (instance launch time) and is not reliable due to Spot interruptions. Option C and D are not "immediate":
Transfer Family is for file transfers, and scheduled EKS jobs or Batch jobs introduce queuing and scheduling delays. While Batch can be event-driven, it is typically used for longer-running or batch-oriented workloads and still has job-start overhead compared to Lambda.
Therefore, A best matches the requirements for immediate execution, scalability, and low operational burden while maintaining responsive performance for customers.

NEW QUESTION # 413
......

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