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Amazon SAP-C02 Exam Syllabus Topics:

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

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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q420-Q425):

NEW QUESTION # 420
A company is launching a web-based application in multiple regions around the world. The application consists of both static content stored in a private Amazon S3 bucket and dyna ECS containers behind an Application Load Balancer (ALB). The company requires that the static and dynamic application content be accessible through Amazon CloudFront only
Which combination of steps should a solutions architect recommend to restrict direct content access to CloudFront? (Select THREE)

A. Configure CloudFront to add a custom header to origin requests
B. Create a web ACL in AWS WAF with a rule to validate the presence of a custom header and associate the web ACL with the CloudFront distribution
C. Update the S3 bucket ACL to allow access from the CloudFront distribution only
D. Create a CloudFront Origin Access Identity (OAI) and add it to the CloudFront distribution Update the S3 bucket policy to allow access to the OAI only
E. Configure the ALB to add a custom header to HTTP requests
F. Create a web ACL in AWS WAF with a rule to validate the presence of a custom header and associate the web ACL with the ALB

Answer: A,D,F

NEW QUESTION # 421
A company is using Amazon API Gateway to deploy a private REST API that will provide access to sensitive data. The API must be accessible only from an application that is deployed in a VPC. The company deploys the API successfully. However, the API is not accessible from an Amazon EC2 instance that is deployed in the VPC.
Which solution will provide connectivity between the EC2 instance and the API?

A. Create a Network Load Balancer (NLB) and a VPC link. Configure private integration between API Gateway and the NLB. Use the API endpoint's DNS names to access the API.
B. Create an interface VPC endpoint for API Gateway. Attach an endpoint policy that allows the execute- api:lnvoke action. Enable private DNS naming for the VPC endpoint. Configure an API resource policy that allows access from the VPC endpoint. Use the API endpoint's DNS names to access the API. Most Voted
C. Create an Application Load Balancer (ALB) and a VPC Link. Configure private integration between API Gateway and the ALB. Use the ALB endpoint's DNS name to access the API.
D. Create an interface VPC endpoint for API Gateway. Attach an endpoint policy that allows apigateway:* actions. Disable private DNS naming for the VPC endpoint. Configure an API resource policy that allows access from the VPC. Use the VPC endpoint's DNS name to access the API.

Answer: B

Explanation:
According to the AWS documentation1, to access a private API from a VPC, you need to do the following:
Create an interface VPC endpoint for API Gateway in your VPC. This creates a private connection between your VPC and API Gateway.
Attach an endpoint policy to the VPC endpoint that allows the execute-api:lnvoke action for your private API.
This grants permission to invoke your API from the VPC.
Enable private DNS naming for the VPC endpoint. This allows you to use the same DNS names for your private APIs as you would for public APIs.
Configure a resource policy for your private API that allows access from the VPC endpoint. This controls who can access your API and under what conditions.
Use the API endpoint's DNS names to access the API from your VPC. For example, https://api-id.execute-api.
region.amazonaws.com/stage.

NEW QUESTION # 422
A company is implementing a serverless architecture by using AWS Lambda functions that need to access a Microsoft SQL Server DB instance on Amazon RDS. The company has separate environments for development and production, including a clone of the database system.
The company's developers are allowed to access the credentials for the development database.
However, the credentials for the production database must be encrypted with a key that only members of the IT security team's IAM user group can access. This key must be rotated on a regular basis.
What should a solutions architect do in the production environment to meet these requirements?

A. Store the database credentials in AWS Systems Manager Parameter Store by using a SecureString parameter that is encrypted by an AWS Key Management Service (AWS KMS) customer managed key. Attach a role to each Lambda function to provide access to the SecureString parameter. Restrict access to the SecureString parameter and the customer managed key so that only the IT security team can access the parameter and the key.
B. Encrypt the database credentials by using the AWS Key Management Service (AWS KMS) default Lambda key. Store the credentials in the environment variables of each Lambda function.
Load the credentials from the environment variables in the Lambda code. Restrict access to the KMS key so that only the IT security team can access the key.
C. Store the database credentials in AWS Secrets Manager as a secret that is associated with an AWS Key Management Service (AWS KMS) customer managed key. Attach a role to each Lambda function to provide access to the secret. Restrict access to the secret and the customer managed key so that only the IT security team can access the secret and the key.
D. Store the database credentials in the environment variables of each Lambda function. Encrypt the environment variables by using an AWS Key Management Service (AWS KMS) customer managed key. Restrict access to the customer managed key so that only the IT security team can access the key.

Answer: C

NEW QUESTION # 423
A company runs a containerized application that consists of multiple microservices in an on-premises data center. One microservice processes regulated data and must remain on premises. The other microservices process unregulated data that the company can migrate to the cloud.
User traffic has grown rapidly, and the company expects to encounter capacity limitations in the data center.
The company establishes an AWS account with a VPC and an AWS Site-to-Site VPN connection between the data center and the VPC.
The company needs a solution that complies with data-residency regulations and minimizes management overhead while increasing capacity for unregulated workloads.
Which solution will meet these requirements?

A. Create a Kubernetes cluster that runs on Amazon EC2 instances in the company's AWS account.
Register the on-premises servers as nodes in the Kubernetes cluster. Run the regulated-data microservice on the on-premises nodes. Run the unregulated-data microservices on the EC2 nodes hosted in the AWS account.
B. Create an Amazon ECS cluster. Deploy Amazon EC2 instances in multiple Availability Zones and register the instances with the ECS cluster. Register the on-premises servers as ECS Anywhere external instances. Create a task definition to run the unregulated-data microservices on the EC2 container instances. Create a task definition to run the regulated-data microservice on the ECS Anywhere instances.
C. Run the regulated-data microservice on Docker-based servers on premises. When demand exceeds the capacity of the on-premises servers, migrate the unregulated-data microservices to Amazon EC2 instances in multiple Availability Zones.
D. Create an Amazon ECS cluster. Deploy Amazon EC2 instances in a single Availability Zone and register the instances with the ECS cluster. Create a task definition to run the regulated-data microservice on the ECS cluster. Create a task definition to run the unregulated-data microservices on the same ECS cluster.

Answer: B

Explanation:
Amazon ECS Anywhere allows on-premises servers and virtual machines to be registered as external instances in an Amazon ECS cluster. Task-placement constraints can ensure the regulated microservice runs only on external on-premises instances, preserving the required data residency. The unregulated microservices can run on ECS container instances distributed across multiple Availability Zones, providing additional capacity and high availability in AWS. Both environments use ECS task definitions and centralized ECS management, minimizing operational overhead. Option B retains separate manual Docker and EC2 management processes. Option C requires the company to create and administer its own Kubernetes cluster, producing substantially more operational work. Option D moves the regulated workload to AWS, violating the residency requirement, and places all cloud capacity in one Availability Zone. Amazon ECS Anywhere documentation

NEW QUESTION # 424
A company needs to build a disaster recovery (DR) solution for its ecommerce website. The web application is hosted on a fleet of t3.large Amazon EC2 instances and uses an Amazon RDS for MySQL DB instance. The EC2 instances are in an Auto Scaling group that extends across multiple Availability Zones.
In the event of a disaster, the web application must fail over to the secondary environment with an RPO of 30 seconds and an RTO of 10 minutes.
Which solution will meet these requirements MOST cost-effectively?

A. Set up a backup plan in AWS Backup to create cross-Region backups for the EC2 instances and the DB instance. Create a cron expression to back up the EC2 instances and the DB instance every 30 seconds to the DR Region. Use infrastructure as code (IaC) to provision the new infrastructure in the DR Region. Manually restore the backed-up data on new instances. Use an Amazon Route 53 simple routing policy to automatically fail over to the DR Region in the event of a disaster.
B. Use infrastructure as code (IaC) to provision the new infrastructure in the DR Region. Create an Amazon Aurora global database. Set up AWS Elastic Disaster Recovery to continuously replicate the EC2 instances to the DR Region. Run the Auto Scaling group of EC2 instances at full capacity in the DR Region. Use an Amazon Route 53 failover routing policy to automatically fail over to the DR Region in the event of a disaster.
C. Use infrastructure as code (IaC) to provision the new infrastructure in the DR Region. Create a cross-Region read replica for the DB instance. Set up AWS Elastic Disaster Recovery to continuously replicate the EC2 instances to the DR Region. Run the EC2 instances at the minimum capacity in the DR Region. Use an Amazon Route 53 failover routing policy to automatically fail over to the DR Region in the event of a disaster. Increase the desired capacity of the Auto Scaling group.
D. Use infrastructure as code (IaC) to provision the new infrastructure in the DR Region. Create a cross-Region read replica for the DB instance. Set up a backup plan in AWS Backup to create cross-Region backups for the EC2 instances and the DB instance. Create a cron expression to back up the EC2 instances and the DB instance every 30 seconds to the DR Region. Recover the EC2 instances from the latest EC2 backup. Use an Amazon Route 53 geolocation routing policy to automatically fail over to the DR Region in the event of a disaster.

Answer: C

NEW QUESTION # 425
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