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Amazon AWS-Solutions-Associate Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Design Secure Architectures	30%	- Design secure access to AWS resources 1. IAM users, groups, roles, and policies 2. Least privilege principles 3. AWS STS and temporary credentials 4. IAM permissions boundaries - Design secure application tiers 1. AWS PrivateLink, VPC endpoints 2. Public vs private subnets 3. Application security patterns 4. VPC architecture (subnets, ACLs, security groups) - Appropriate data security controls 1. AWS KMS, AWS CloudHSM 2. Security posture management 3. Encryption at rest and in transit 4. S3 bucket policies and access controls
Topic 2: Design Cost-Optimized Architectures	20%	- Design cost-optimized compute solutions 1. Reserved Instances vs On-Demand vs Spot 2. Auto Scaling cost optimization 3. Right-sizing resources 4. Savings Plans - Design cost-optimized database solutions 1. Cost-effective query patterns 2. DynamoDB on-demand vs provisioned 3. Database caching strategies 4. Amazon RDS, Aurora pricing - Design cost-optimized storage solutions 1. Intelligent Tiering 2. Storage Gateway 3. Cost-effective data storage patterns 4. S3 lifecycle policies
Topic 3: Design Resilient Architectures	26%	- Implement appropriate caching strategies 1. Amazon ElastiCache 2. AWS Global Accelerator 3. Cache invalidation strategies 4. Amazon CloudFront - Design highly available architectures 1. Disaster recovery strategies 2. Amazon Route 53 routing policies 3. Fault-tolerant design patterns 4. RTO and RPO considerations - Design multi-tier architectures 1. Auto Scaling groups 2. Multi-AZ deployments 3. Load balancing strategies 4. Highly available architecture patterns
Topic 4: Design High-Performing Architectures	24%	- Design highly available and scalable storage solutions 1. Storage cost optimization 2. Amazon S3 storage classes 3. Amazon EFS, EBS, FSx 4. Data lifecycle management - Identify elastic and scalable compute solutions 1. Container-based solutions 2. Amazon ECS, EKS, Lambda 3. Serverless architectures 4. EC2 Auto Scaling - Design data transfer solutions 1. AWS DataSync, Snow Family 2. Network optimization 3. S3 Transfer Acceleration

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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Sample Questions (Q195-Q200):

NEW QUESTION # 195
An enterprise wants to use a third-party SaaS application. The SaaS application needs to have access to issue several API commands to discover Amazon EC2 resources running within the enterprise's account The enterprise has internal security policies that require any outside access to their environment must conform to the principles of least privilege and there must be controls in place to ensure that the credentials used by the SaaS vendor cannot be used by any other third party. Which of the following would meet all of these conditions?

A. Create an IAM user within the enterprise account assign a user policy to the IAM user that allows only the actions required by the SaaS application create a new access and secret key for the user and provide these credentials to the SaaS provider.
B. Create an IAM role for cross-account access allows the SaaS provider's account to assume the role and assign it a policy that allows only the actions required by the SaaS application.
C. Create an IAM role for EC2 instances, assign it a policy mat allows only the actions required tor the Saas application to work, provide the role ARM to the SaaS provider to use when launching their application instances.
D. From the AWS Management Console, navigate to the Security Credentials page and retrieve the access and secret key for your account.

Answer: B

NEW QUESTION # 196
A company has implemented one of its microservices on AWS Lambda that accesses an Amazon DynamoDB table named Books. A solutions architect is design an IAM policy to be attached to the Lambda function's IAM role, giving it access to put, update, and delete items in the Books table. the IAM policy must prevent function from performing any other actions on the Books table or any other.
Which IAM policy would fulfill these needs and provide the LEAST privileged access?
A)

B)

C)

D)

A. Option D
B. Option A
C. Option B
D. Option C

Answer: B

NEW QUESTION # 197
A company is building an application composed of multiple microservices that communicate over HTTP. The company must deploy the application across multiple AWS Regions to meet disaster recovery requirements.
The application must maintain high availability and automatic fault recovery.
Which solution will meet these requirements?

A. Use Amazon Route 53 with latency-based routing. Deploy microservices on Amazon EC2 instances in multiple Regions behind Application Load Balancers.
B. Implement each microservice using AWS Lambda. Expose the microservices using an Amazon API Gateway REST API.
C. Deploy all microservices on a single large EC2 instance in one Region to simplify communication.
D. Use AWS Fargate to run each microservice in separate containers. Deploy across multiple Availability Zones in one Region behind an Application Load Balancer.

Answer: A

Explanation:
AWS recommends multi-Region active-active architectures for applications requiring high availability, automatic failover, and disaster recovery. Route 53 latency-based routing directs users to the Region providing the lowest latency and automatically shifts traffic if Regional endpoints become unhealthy.
Combined with Application Load Balancers and EC2-based microservices deployed in multiple Regions, this architecture delivers fault tolerance, multi-Region resiliency, and automatic recovery.
Option D provides high availability but does not inherently provide multi-Region failover routing without additional configuration. Option B is single-Region. Option A is not resilient.

NEW QUESTION # 198
A Solutions Architect is designing a service that must have four Amazon EC2 instances running between 8 AM and 6 PM daily. The service requires one EC2 instance outside of those hours.
What is the MOST cost-effective way to provide enough compute?

A. Use one Amazon EC2 On-Demand instance and use an Auto Scaling group to add and remove EC2 instances based on CPU utilization.
B. Use one Amazon EC2 Reserved Instance and use an Auto Scaling Group scheduled action to add three EC2 On-Demand instances at 7:30 AM and remove three instances at 6:10 PM.
C. Use one Amazon EC2 On-Demand instance and use an Auto Scaling Group scheduled action to add three EC2 Spot instances at 7:30 AM and remove three instances at 6:10 PM.
D. Use one Amazon EC2 Reserved Instance and use an Auto Scaling group to add and remove EC2 instances based on CPU utilization.

Answer: B

NEW QUESTION # 199
A company hosts a website analytics application on a single Amazon EC2 On-Demand Instance. The analytics software is written in PHP and uses a MySQL database. The analytics software, the web server that provides PHP, and the database server are all hosted on the EC2 instance. The application is showing signs of performance degradation during busy times and is presenting 5xx errors. The company needs to make the application scale seamlessly.
Which solution will meet these requirements MOST cost-effectively?

A. Migrate the database to an Amazon Aurora MySQL DB instance. Create an AMI of the web application. Apply the AMI to a launch template. Create an Auto Scaling group with the launch template Configure the launch template to use a Spot Fleet. Attach an Application Load Balancer to the Auto Scaling group.
B. Migrate the database to an Amazon Aurora MySQL DB instance. Create an AWS Lambda function to stop the EC2 instance and change the instance type. Create an Amazon CloudWatch alarm to invoke the Lambda function when CPU utilization surpasses 75%.
C. Migrate the database to an Amazon RDS for MySQL DB instance. Create an AMI of the web application. Use the AMI to launch a second EC2 On-Demand Instance. Use Amazon Route 53 weighted routing to distribute the load across the two EC2 instances.
D. Migrate the database to an Amazon RDS for MySQL DB instance. Create an AMI of the web application. Use the AMI to launch a second EC2 On-Demand Instance. Use an Application Load Balancer to distribute the load to each EC2 instance.

Answer: A

Explanation:
Migrate the database to Amazon Aurora MySQL - this will let the DB scale on it's own; it'll scale automatically without needing adjustment. Create AMI of the web app and using a launch template - this will make the creating of any future instances of the app seamless. They can then be added to the auto scaling group which will save them money as it will scale up and down based on demand. Using a spot fleet to launch instances- This solves the "MOST cost-effective" portion of the question as spot instances come at a huge discount at the cost of being terminated at any time Amazon deems fit. I think this is why there's a bit of disagreement on this. While it's the most cost effective, it would be a terrible choice if amazon were to terminate that spot instance during a busy period.

NEW QUESTION # 200
......

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