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Amazon SAP-C02 Exam Syllabus Topics:

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

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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q712-Q717):

NEW QUESTION # 712
A utility company collects usage data from smart meters every 5 minutes. Data is sent to API Gateway, processed by Lambda, and stored in DynamoDB. As usage increased, Lambda durations increased and DynamoDB PUTs failed with ProvisionedThroughputExceededException. Lambda also experiences TooManyRequestsException errors.
Which combination of changes will resolve these issues? (Select TWO.)

A. Increase the write capacity units to the DynamoDB table.
B. Stream the data into an Amazon Kinesis data stream from API Gateway and process the data in batches.
C. Increase the memory available to the Lambda functions.
D. Increase the payload size from the smart meters.
E. Collect data in an Amazon SQS FIFO queue, which triggers a Lambda function to process each message.

Answer: A,B

Explanation:
Comprehensive and Detailed in Depth
A is correct because write throttling on DynamoDB means WCU (write capacity units) are insufficient. Increasing them will reduce the error rate.
D is correct because introducing Kinesis allows for efficient, high-throughput ingestion and batch processing, reducing the number of Lambda invocations and overall load.
Reference:
DynamoDB Throttling
Using Kinesis with Lambda

NEW QUESTION # 713
A company is running a critical stateful web application on two Linux Amazon EC2 instances behind an Application Load Balancer (ALB) with an Amazon RDS for MySQL database The company hosts the DNS records for the application in Amazon Route 53 A solutions architect must recommend a solution to improve the resiliency of the application The solution must meet the following objectives:
* Application tier RPO of 2 minutes. RTO of 30 minutes
* Database tier RPO of 5 minutes RTO of 30 minutes
The company does not want to make significant changes to the existing application architecture The company must ensure optimal latency after a failover Which solution will meet these requirements?

A. Configure the EC2 instances to use Amazon Data Lifecycle Manager (Amazon DLM) to take snapshots of the EBS volumes Create a cross-Region read replica for the RDS DB instance Create an ALB in a second AWS Region Create an AWS Global Accelerator endpoint and associate the endpoint with the ALBs
B. Configure the EC2 instances to use Amazon Data Lifecycle Manager (Amazon DLM) to take snapshots of the EBS volumes Configure RDS automated backups Configure backup replication to a second AWS Region Create an ALB in the second Region Create an AWS Global Accelerator endpoint, and associate the endpoint with the ALBs Update DNS records to point to the Global Accelerator endpoint
C. Create a backup plan in AWS Backup for the EC2 instances and RDS DB instance Configure backup replication to a second AWS Region Create an ALB in the second Region Configure an Amazon CloudFront distribution in front of the ALB Update DNS records to point to CloudFront
D. Configure the EC2 instances to use AWS Elastic Disaster Recovery Create a cross-Region read replica for the RDS DB instance Create an ALB in a second AWS Region Create an AWS Global Accelerator endpoint and associate the endpoint with the ALBs Update DNS records to point to the Global Accelerator endpoint

Answer: B

Explanation:
This option meets the RPO and RTO requirements for both the application and database tiers and uses tools like Amazon DLM and RDS automated backups to create and manage the backups. Additionally, it uses Global Accelerator to ensure low latency after failover by directing traffic to the closest healthy endpoint.

NEW QUESTION # 714
A car rental company has built a serverless REST API to provide data to its mobile app. The app consists of an Amazon API Gateway API with a Regional endpoint, AWS Lambda functions, and an Amazon Aurora MySQL Serverless DB cluster. The company recently opened the API to mobile apps of partners. A significant increase in the number of requests resulted, causing sporadic database memory errors.
Analysis of the API traffic indicates that clients are making multiple HTTP GET requests for the same queries in a short period of time. Traffic is concentrated during business hours, with spikes around holidays and other events.
The company needs to improve its ability to support the additional usage while minimizing the increase in costs associated with the solution.
Which strategy meets these requirements?

A. Modify the Aurora Serverless DB cluster configuration to increase the maximum amount of available memory.
B. Implement an Amazon ElastiCache for Redis cache to store the results of the database calls.
Modify the Lambda functions to use the cache.
C. Enable throttling in the API Gateway production stage. Set the rate and burst values to limit the incoming calls.
D. Convert the API Gateway Regional endpoint to an edge-optimized endpoint. Enable caching in the production stage.

Answer: D

Explanation:
Using ElastiCache will work, but you'll be required to spin up resources which you'll be billed for, even during slow periods when it's not needed. Better to use the caching that is a part of APIGW.

NEW QUESTION # 715
A company has an application that runs on Amazon EC2 instances in an Amazon EC2 Auto Scaling group.
The company uses AWS CodePipeline to deploy the application. The instances that run in the Auto Scaling group are constantly changing because of scaling events When the company deploys new application code versions the company Installs the AWS CodeDeploy agent on any new target EC2 instances and associates the instances with the CodeDeploy deployment group The application is set to go live within the next 24 hours What should a solutions architect recommend to automate the application deployment process with the LEAST amount of operational overhead?

A. Create a new AWS CodeBuild project that creates a new AMI that contains the new code Configure CodeBuild to update the Auto Scaling group's launch template to the new AMI Run an Amazon EC2 Auto Scaling instance refresh operation.
B. Configure Amazon EventBridge (Amazon CloudWatch Events) to invoke an AWS Lambda function when a new EC2 instance is launched into the Auto Scaling group. Code the Lambda function to associate the EC2 instances with the CodeDeploy deployment group.
C. Write a script to suspend Amazon EC2 Auto Scaling operations before the deployment of new code.
When the deployment is complete, create a new AMI and configure the Auto Scaling group's launch template to use the new AMI for new launches. Resume Amazon EC2 Auto Scaling operations
D. Create a new AMI that has the CodeDeploy agent installed Configure the Auto Scaling group's launch template to use the new AMI Associate the CodeDeploy deployment group with the Auto Scaling group instead of the EC2 instances.

Answer: D

Explanation:
Explanation
https://docs.aws.amazon.com/codedeploy/latest/userguide/integrations-aws-auto-scaling.htm

NEW QUESTION # 716
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 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.
B. 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.
C. 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
D. 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.

Answer: C

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 # 717
......

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