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Amazon SAP-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Continuous Improvement for Existing Solutions	23%	- Reviewing existing architectures 1. Performance efficiency pillar 2. AWS Well-Architected Framework 3. Security pillar 4. Cost optimization pillar 5. Operational excellence pillar 6. Reliability pillar - Operational excellence improvements 1. CI/CD pipelines 2. Infrastructure as Code (CloudFormation, Terraform) 3. Monitoring and logging (CloudWatch) - Performance optimization 1. Database optimization 2. CDN implementation 3. Caching strategies (CloudFront, ElastiCache) - Modernization strategies 1. Re-architecting monolithic applications 2. Serverless transformation 3. Containerization - Security hardening 1. Encryption strategies 2. Security monitoring 3. Identity and access management
Topic 2: Cost Control	18.5%	- Reserved capacity planning 1. Reserved Instances 2. Capacity Reservations 3. Savings Plans - Cost optimization strategies 1. Cost categories 2. AWS Budgets 3. Cost allocation tags 4. AWS Cost Explorer - Resource efficiency 1. Auto Scaling 2. Serverless optimization 3. Managed services - Monitoring and controlling costs 1. Budget alerts 2. Anomaly detection - Rightsizing recommendations
Topic 3: Design for New Solutions	31%	- Cloud Adoption Readiness 1. Migration strategy assessment 2. 6 Rs of migration - Database migration 1. Schema Conversion Tool (SCT) 2. AWS DMS (Database Migration Service) 3. Database types and selection - Network design 1. Subnet planning 2. VPC architecture 3. Network segmentation 4. Security groups and NACLs - Cost optimization at design phase 1. Spot instances 2. Reserved Instances and Savings Plans 3. Right-sizing resources - Microservices patterns 1. Event-driven architecture 2. Serverless architectures (Lambda) 3. Containers and ECS/EKS - High availability and fault tolerance 1. Multi-AZ deployments 2. Backup and restore 3. Disaster recovery strategies - Multi-tier architecture 1. Web tier design 2. Application tier 3. Data tier considerations
Topic 4: Migration Planning	15%	- Migration tools and services 1. AWS Migration Hub 2. AWS Server Migration Service 3. AWS Application Migration Service 4. AWS Transfer Family 5. AWS DataSync - Data migration considerations 1. Large-scale data transfer 2. Snow family devices - Migration strategies 1. Refactoring 2. Repurchasing 3. Replatforming 4. Hybrid migration 5. Rehosting (lift-and-shift) - Validation and testing post-migration
Topic 5: Design for Organizational Complexity	12.5%	- Cross-account strategies and AWS organizations 1. Service Control Policies (SCPs) 2. Organizational Units (OUs) 3. AWS Control Tower - Networks 1. AWS Transit Gateway 2. VPN connections 3. Hybrid DNS architecture 4. AWS Direct Connect - Multi-account AWS environments

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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q91-Q96):

NEW QUESTION # 91
A company is running an application in the AWS Cloud. The application uses AWS Lambda functions and Amazon Elastic Container Service (Amazon ECS) containers that run with AWS Fargate technology as its primary compute. The load on the application is irregular. The application experiences long periods of no usage, followed by sudden and significant increases and decreases in traffic. The application is write-heavy and stores data in an Amazon Aurora MySQL database. The database runs on an Amazon RDS memory optimized D8 instance that is not able to handle the load. What is the MOST cost-effective way for the company to handle the sudden and significant changes in traffic?

A. Migrate the database to Aurora Serverless v1.
Purchase Compute Savings Plans
B. Add additional read replicas to the database.
Purchase Instance Savings Plans and RDS Reserved Instances.
C. Migrate the database to an Aurora global database.
Purchase Compute Savings Plans and RDS Reserved Instances
D. Migrate the database to an Aurora multi-master DB cluster.
Purchase Instance Savings Plans.

Answer: A

NEW QUESTION # 92
An external audit of a company's serverless application reveals IAM policies that grant too many permissions. These policies are attached to the company's AWS Lambda execution roles.
Hundreds of the company's Lambda functions have broad access permissions, such as full access to Amazon S3 buckets and Amazon DynamoDB tables. The company wants each function to have only the minimum permissions that the function needs to complete its task. A solutions architect must determine which permissions each Lambda function needs. What should the solutions architect do to meet this requirement with the LEAST amount of effort?

A. Turn on AWS CloudTrail logging for the AWS account. Create a script to parse the CloudTrail log, search for AWS API calls by Lambda execution role, and create a summary report. Review the report. Create IAM access policies that provide more restrictive permissions for each Lambda function.
B. Turn on AWS CloudTrail logging for the AWS account. Export the CloudTrail logs to Amazon S3.Use Amazon EMR to process the CloudTrail logs in Amazon S3 and produce a report of API calls and resources used by each execution role. Create a new IAM access policy for each role. Export the generated roles to an S3 bucket. Review the generated policies to ensure that they meet the company's business requirements.
C. Set up Amazon CodeGuru to profile the Lambda functions and search for AWS API calls. Create an inventory of the required API calls and resources for each Lambda function. Create new IAM access policies for each Lambda function. Review the new policies to ensure that they meet the company's business requirements.
D. Turn on AWS CloudTrail logging for the AWS account. Use AWS Identity and Access Management Access Analyzer to generate IAM access policies based on the activity recorded in the CloudTrail log. Review the generated policies to ensure that they meet the company's business requirements.

Answer: D

Explanation:
IAM Access Analyzer helps you identify the resources in your organization and accounts, such as Amazon S3 buckets or IAM roles, shared with an external entity. This lets you identify unintended access to your resources and data, which is a security risk. IAM Access Analyzer identifies resources shared with external principals by using logic-based reasoning to analyze the resource- based policies in your AWS environment.
https://docs.aws.amazon.com/IAM/latest/UserGuide/what-is-access-analyzer.html

NEW QUESTION # 93
A company is building an application on AWS. The application sends logs to an Amazon OpenSearch Service cluster for analysis. All data must be stored within a VPC.
Some of the company's developers work from home. Other developers work from three different company office locations. The developers need to access OpenSearch Service to analyze and visualize logs directly from their local development machines.
Which solution will meet these requirements?

A. Configure and set up an AWS Client VPN endpoint. Associate the Client VPN endpoint with a subnet in the VPC. Configure a Client VPN self-service portal. Instruct the developers to connect by using the client for Client VPN.
B. Create and configure a bastion host in a public subnet of the VPC. Configure the bastion host security group to allow SSH access from the company CIDR ranges. Instruct the developers to connect by using SSH.
C. Create a transit gateway, and connect it to the VPC. Order an AWS Direct Connect connection. Set up a public VIF on the Direct Connect connection. Associate the public VIF with the transit gateway.
Instruct the developers to connect to the Direct Connect connection.
D. Create a transit gateway, and connect it to the VPC. Create an AWS Site-to-Site VPN. Create an attachment to the transit gateway. Instruct the developers to connect by using an OpenVPN client.

Answer: A

Explanation:
The key requirements are: OpenSearch Service must be deployed within a VPC (VPC-only access), and developers must access OpenSearch from their local machines across multiple locations, including home networks. The most suitable low-overhead approach is to provide remote users with secure client-based connectivity into the VPC so they can reach private endpoints.
AWS Client VPN is a managed client-based VPN service that allows individual users to establish secure TLS VPN connections from their devices into a VPC. By associating a Client VPN endpoint with a subnet in the VPC and configuring authorization rules and routes, developers can access private resources (including VPC- only Amazon OpenSearch Service endpoints) as if they were on the corporate network. Client VPN is designed for distributed workforces and supports users connecting from anywhere without requiring each remote location to have dedicated network appliances.
Option A matches the need for remote developer access from home and multiple offices with the least operational overhead because it is a managed service for user-based VPN access and does not require running and maintaining bastion fleets or building site-to-site networks for each location.
Option B is not correct because AWS Site-to-Site VPN is designed to connect networks (for example, an office network or data center) to AWS, not to provide individual developers remote access from arbitrary home networks. Also, instructing developers to use an OpenVPN client does not align with how Site-to-Site VPN is typically used; Site-to-Site VPN terminates on a customer gateway device, not on individual laptops.
Option C is not correct because Direct Connect is designed for dedicated private connectivity between on- premises networks and AWS. It is not a solution for individual developers connecting from home.
Additionally, using a public VIF is for reaching public AWS endpoints, whereas the requirement is to keep access within a VPC. A public VIF does not provide private VPC access to VPC-only service endpoints.
Option D is not the best choice because a bastion host provides SSH access to instances, not direct, secure network-level access to VPC-only managed service endpoints from developer tools. It also increases operational overhead (patching, hardening, monitoring, scaling) and introduces additional security considerations. Developers also typically need browser-based or tool-based access to OpenSearch Dashboards, which is better served by VPN access into the VPC than SSH tunneling through a bastion host as a primary access mechanism.
Therefore, configuring AWS Client VPN to provide developers with secure connectivity into the VPC is the correct solution.
References:AWS documentation on AWS Client VPN as a managed client-based VPN service for remote user access to VPC resources.AWS documentation on VPC-only access patterns for managed services and using VPN connectivity to reach private endpoints from remote networks.

NEW QUESTION # 94
A company is hosting an image-processing service on AWS in a VPC. The VPC extends across two Availability Zones. Each Availability Zone contains one public subnet and one private subnet.
The service runs on Amazon EC2 instances in the private subnets. An Application Load Balancer in the public subnets is in front of the service. The service needs to communicate with the internet and does so through two NAT gateways. The service uses Amazon S3 for image storage. The EC2 instances retrieve approximately 1TB of data from an S3 bucket each day.
The company has promoted the service as highly secure. A solutions architect must reduce cloud expenditures as much as possible without compromising the service's security posture or increasing the time spent on ongoing operations.
Which solution will meet these requirements?

A. Move the EC2 instances to the public subnets. Remove the NAT gateways.
B. Attach an Amazon Elastic File System (Amazon EFS) volume to the EC2 instances. Host the image on the EFS volume.
C. Set up an S3 gateway VPC endpoint in the VPC. Attach an endpoint policy to the endpoint to allow the required actions on the S3 bucket.
D. Replace the NAT gateways with NAT instances. In the VPC route table, create a route from the private subnets to the NAT instances.

Answer: C

Explanation:
Create Amazon S3 gateway endpoint in the VPC and add a VPC endpoint policy. This VPC endpoint policy will have a statement that allows S3 access only via access points owned by the organization.

NEW QUESTION # 95
A company is using AWS CloudFormation as its deployment tool for all applications. It stages all application binaries and templates within Amazon S3 buckets with versioning enabled.
Developers have access to an Amazon EC2 instance that hosts the integrated development environment (IDE). The developers download the application binaries from Amazon S3 to the EC2 instance, make changes, and upload the binaries to an S3 bucket after running the unit tests locally. The developers want to improve the existing deployment mechanism and implement CI/CD using AWS CodePipeline.
The developers have the following requirements:
- Use AWS CodeCommit for source control.
- Automate unit testing and security scanning.
- Alert the developers when unit tests fail.
- Turn application features on and off, and customize deployment
dynamically as part of CI/CD.
- Have the lead developer provide approval before deploying an
application.
Which solution will meet these requirements?

A. Use AWS CodeBuild to run unit tests and security scans. Use an Amazon EventBridge rule to send Amazon SNS alerts to the developers when unit tests fail. Write AWS Cloud Development Kit (AWS CDK) constructs for different solution features, and use a manifest file to tum features on and off in the AWS CDK application. Use a manual approval stage in the pipeline to allow the lead developer to approve applications.
B. Use AWS Lambda to run unit tests and security scans. Use Lambda in a subsequent stage in the pipeline to send Amazon SNS alerts to the developers when unit tests fail. Write AWS Amplify plugins for different solution features and utilize user prompts to tum features on and off. Use Amazon SES in the pipeline to allow the lead developer to approve applications.
C. Use Jenkins to run unit tests and security scans. Use an Amazon EventBridge rule in the pipeline to send Amazon SES alerts to the developers when unit tests fail Use AWS CloudFormation nested stacks for different solution features and parameters to turn features on and off. Use AWS Lambda in the pipeline to allow the lead developer to approve applications.
D. Use AWS CodeDeploy to run unit tests and security scans. Use an Amazon CloudWatch alarm in the pipeline to send Amazon SNS alerts to the developers when unit tests fail. Use Docker images for different solution features and the AWS CLI to turn features on and off. Use a manual approval stage in the pipeline to allow the lead developer to approve applications.

Answer: A

NEW QUESTION # 96
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