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Amazon SAP-C02 Exam Syllabus Topics:

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

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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q792-Q797):

NEW QUESTION # 792
A company needs a hybrid DNS architecture. The architecture must include the company's on- premises network and a VPC. An AWS Site-to-Site VPN connection connects the VPC to the on- premises network. The company already hosts the onprem.mydc.com domain name on premises.
The company wants to host the myvpc.example.com domain name in the company's AWS account and resolve to the VPC. The company also needs the on-premises devices to resolve DNS queries to the myvpc.example.com domain.
Which combination of steps will meet these requirements? (Choose three.)

A. Use Amazon Route 53 Resolver to create an inbound endpoint in the AWS Region of the VPC.
B. Create an Amazon Route 53 public hosted zone for the myvpc.example.com reserved domain.
Associate the reserved domain with the VPC.
C. Use Amazon Route 53 Resolver to create a forwarding rule for the Route 53 private hosted zone domain and IP addresses of the outbound endpoint.
D. Configure the on-premises DNS resolvers with a conditional forwarding rule for DNS queries for the Amazon Route 53 private hosted zone domain and IP addresses of the inbound endpoint.
E. Create an Amazon Route 53 private hosted zone for the myvpc.example.com reserved domain.
Associate the reserved domain with the VPC.
F. Use Amazon Route 53 Resolver to create an outbound endpoint in the AWS Region of the VPC.

Answer: A,D,E

Explanation:
You want the myvpc.example.com namespace to resolve only inside the VPC/hybrid environment, not publicly. A Route 53 private hosted zone attached to the VPC gives authoritative private DNS for that domain inside AWS.
On-premises resolvers must be able to ask AWS for myvpc.example.com. An inbound endpoint provides IPs in the VPC that your on-prem DNS can forward those queries to over the VPN.
Point your on-prem DNS servers to the inbound endpoint for the myvpc.example.com zone. This lets on-prem clients resolve that domain by forwarding only those queries to AWS.

NEW QUESTION # 793
A company is running an event ticketing platform on AWS and wants to optimize the platform's cost-effectiveness. The platform is deployed on Amazon Elastic Kubernetes Service (Amazon EKS) with Amazon EC2 and is backed by an Amazon RDS for MySQL DB instance. The company is developing new application features to run on Amazon EKS with AWS Fargate.
The platform experiences infrequent high peaks in demand. The surges in demand depend on event dates.
Which solution will provide the MOST cost-effective setup for the platform?

A. Purchase EC2 Instance Savings Plans for the predicted base load of the EKS cluster. Scale the cluster with Spot Instances to handle peaks. Purchase 1-year All Upfront Reserved Instances for the database to meet the predicted base load. Temporarily scale up the DB instance manually during peaks.
B. Purchase Standard Reserved Instances for the EC2 instances that the EKS cluster uses in its baseline load. Scale the cluster with Spot Instances to handle peaks. Purchase 1-year All Upfront Reserved Instances for the database to meet predicted peak load for the year.
C. Purchase Compute Savings Plans for the predicted base load of the EKS cluster. Scale the cluster with Spot Instances to handle peaks. Purchase 1-year All Upfront Reserved Instances for the database to meet the predicted base load. Temporarily scale up the DB instance manually during peaks.
D. Purchase Compute Savings Plans for the predicted medium load of the EKS cluster. Scale the cluster with On-Demand Capacity Reservations based on event dates for peaks. Purchase 1-year No Upfront Reserved Instances for the database to meet the predicted base load. Temporarily scale out database read replicas during peaks.

Answer: D

NEW QUESTION # 794
A new application is running on Amazon Elastic Container Service (Amazon ECS) with AWS Fargate The application uses an Amazon Aurora MySQL database The application and the database run m the same subnets of a VPC with distinct security groups that are configured.
The password (or the database is stored m AWS Secrets Manager and is passed to the application through the D8_PASSWORD environment variable The hostname of the database is passed to the application through the DB_HOST environment variable The application Is failing to access the database.
Which combination of actions should a solutions architect take to resolve this error? (Select THREE )

A. Ensure that the container has the environment variable with name "DB_PASSWORD" specified with a
"ValueFrom" and the ARN of the secret
B. Ensure that the container has the environment variable with name "D8_HOST" specified with the hostname of a DB instance endpoint.
C. Ensure that the container has the environment variable with name *D8_PASSWORD" specified with a
"ValueFrom" and the secret name of the secret.
D. Ensure that the Aurora MySQL database security group allows inbound network traffic from the Fargate service on the MySQL TCP port 3306.
E. Ensure that the container has the environment variable with name "DB_HOST" specified with the hostname of the OB duster endpoint.
F. Ensure that the Fargate service security group allows inbound network traffic from the Aurora MySQL database on the MySQL TCP port 3306.

Answer: A,B,D

NEW QUESTION # 795
A financial services company is deploying a generative AI (GenAI) assistant on Amazon Bedrock to respond to internal support queries. Model-generated responses can include structured identifiers from backend systems. Some of the identifiers follow a proprietary numeric pattern that must not be exposed in the identifiers' original form in any model-generated response. The assistant orchestrates multiple Amazon Bedrock model invocations and tool calls in a pipeline across accounts. Model-generated responses are streamed incrementally to the client.
The company must enforce identifier suppression consistently during model interactions without modifying application-side parsing logic. Identifier suppression must apply even when the model dynamically retrieves or synthesizes values. The company requires a centralized enforcement mechanism that applies uniformly across all stages of the pipeline and across accounts.
Which solution will meet these requirements?

A. Configure a sensitive information filter with a custom detection pattern in Amazon Bedrock Guardrails. Associate the filter with all model invocations.
B. Implement a centralized AWS Lambda based post-processing layer that intercepts all model responses across accounts. Configure the layer to replace matching numeric sequences in all model responses before streaming the responses to clients.
C. Define system prompt constraints in each model invocation stage. Enforce identifier suppression through standardized prompt templates across all pipeline components.
D. Configure a denied topic policy in Amazon Bedrock Guardrails. Attach the policy to all model invocations across the pipeline to block responses that contain restricted identifiers.

Answer: A

Explanation:
Bedrock Guardrails sensitive information filters support custom regular expressions to detect and block or mask proprietary identifier patterns in model inputs and responses. Guardrails can be enforced centrally across AWS accounts and consistently attached to each inference stage, including values dynamically generated or retrieved by the model, without custom application-side processing.

NEW QUESTION # 796
A company is running a web application on Amazon EC2 instances in a production AWS account.
The company requires all logs generated from the web application to be copied to a central AWS account for analysis and archiving. The company's AWS accounts are currently managed independently. Logging agents are configured on the EC2 instances to upload the tog files to an Amazon S3 bucket in the central AWS account.
A solutions architect needs to provide access for a solution that will allow the production account to store log files in the central account. The central account also needs to have read access to the tog files.
What should the solutions architect do to meet these requirements?

A. Create a policy on the S3 bucket with the production account ID as the principal. Allow S3 access from a delegated user.
B. Create a cross-account role in the central account. Assume the role from the production account when the logs are being copied.
C. Create a policy on the S3 bucket with access from only the CIDR range of the EC2 instances in the production account. Use the production account ID as the principal.
D. Create a cross-account role in the production account. Assume the role from the production account when the logs are being copied.

Answer: D

Explanation:
https://docs.aws.amazon.com/IAM/latest/UserGuide/tutorial_cross-account-with-roles.html

NEW QUESTION # 797
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