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Amazon SAP-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Continuous Improvement for Existing Solutions	25%	- Apply security best practices and compliance updates - Refactor and modernize legacy applications - Optimize existing workloads for cost, performance, and security - Implement monitoring, logging, and observability
Topic 2: Design Solutions for Organizational Complexity	26%	- Design for operational excellence and automation - Design multi-account and multi-region architectures - Design for compliance and governance requirements - Design hybrid and multi-cloud networking
Topic 3: Design for New Solutions	29%	- Design secure and resilient architectures - Design for reliability and fault tolerance - Design high-performing and scalable solutions - Design cost-optimized architectures
Topic 4: Accelerate Workload Migration and Modernization	20%	- Integrate AWS services with existing systems - Migrate applications, data, and infrastructure - Develop migration strategies and plans - Modernize applications and data platforms

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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q72-Q77):

NEW QUESTION # 72
A company built an application based on AWS Lambda deployed in an AWS CloudFormation stack. The last production release of the web application introduced an issue that resulted in an outage lasting several minutes.
A solutions architect must adjust the deployment process to support a canary release.
Which solution will meet these requirements?

A. Deploy the application into a new CloudFormation stack. Use an Amazon Route 53 weighted routing policy to distribute the load.
B. Create a version for every new deployed Lambda function. Use the AWS CLI update-function-contiguration command with the routing-config parameter to distribute the load.
C. Create an alias for every new deployed version of the Lambda function. Use the AWS CLI update-alias command with the routing-config parameter to distribute the load.
D. Configure AWS CodeDeploy and use CodeDeployDefault.OneAtATime in the Deployment configuration to distribute the load.

Answer: C

Explanation:
https://aws.amazon.com/blogs/compute/implementing-canary-deployments-of-aws-lambda-functions-with-alias-

NEW QUESTION # 73
A company has hundreds of AWS accounts. The company uses an organization in AWS Organizations to manage all the accounts. The company has turned on all features.
A finance team has allocated a daily budget for AWS costs. The finance team must receive an email notification if the organization ' s AWS costs exceed 80% of the allocated budget. A solutions architect needs to implement a solution to track the costs and deliver the notifications.
Which solution will meet these requirements?

A. In the organization ' s management account, use AWS Budgets to create a budget that has a daily period. Add an alert threshold and set the value to 80%. Use Amazon Simple Notification Service (Amazon SNS) to notify the finance team.
B. In the organization's management account, set up the organizational view feature for AWS Trusted Advisor. Create an organizational view report for cost optimization.Set an alert threshold of 80%.
Configure notification preferences. Add the email addresses of the finance team.
C. Configure the member accounts to save a daily AWS Cost and Usage Report to an Amazon S3 bucket in the organization ' s management account. Use Amazon EventBridge to schedule a daily Amazon Athena query to calculate the organization's costs. Configure Athena to send an Amazon CloudWatch alert if the total costs are more than 80% of the allocated budget. Use Amazon Simple Notification Service (Amazon SNS) to notify the finance team.
D. Register the organization with AWS Control Tower. Activate the optional cost control (guardrail). Set a control (guardrail) parameter of 80%. Configure control (guardrail) notification preferences. Use Amazon Simple Notification Service (Amazon SNS) to notify the finance team.

Answer: A

NEW QUESTION # 74
A machine learning (ML) company continuously develops new versions of its models. The models are integrated into a web application that uses a RESTful API to call custom Python code to invoke the models.
The application runs in an Amazon EC2 Auto Scaling group.
Customer feedback indicates that new model versions sometimes perform worse than previous versions. The company wants to implement a gradual deployment approach in which 10% of traffic is initially routed to new models to verify performance. The solution must also reduce operational overhead for infrastructure management.
Which solution will meet these requirements with the LEAST operational overhead?

A. Deploy model versions to an Amazon SageMaker AI multi-model endpoint. Configure the weight for the new version to 10% and the previous version to 90%. Migrate the Python code to an AWS Lambda function. Use Amazon API Gateway to invoke the Lambda function.
B. Deploy model versions to an Amazon SageMaker Serverless Inference endpoint. Use Amazon API Gateway with a canary deployment to gradually shift 10% of traffic to the new model version while maintaining 90% of traffic on the previous version.
C. Deploy each model version to a separate Amazon SageMaker AI single-model endpoint. Configure an AWS Lambda function to route 10% of invocation calls to the new endpoint ' s URL and 90% to the previous version. Use Amazon API Gateway to invoke the Lambda function.
D. Deploy each model version to a separate Amazon SageMaker Serverless Inference endpoint. Configure an AWS Lambda function to route 10% of invocation calls to the new endpoint and 90% to the previous version based on weighted random selection. Use Amazon API Gateway to invoke the Lambda function.

Answer: B

Explanation:
Option D is correct because the company needs gradual release control and reduced infrastructure management. SageMaker Serverless Inference removes the need to select, run, and scale inference instances, which directly reduces operational overhead compared with EC2-hosted Python inference or manually managed endpoints. API Gateway canary deployments allow a defined percentage of API traffic to be routed to a newer deployment while the rest remains on the stable production deployment.
AWS documentation states that API Gateway canary settings include a percentage of API traffic and stage variable overrides, which can direct canary traffic to the new backend. Options B and C require custom Lambda routing logic, which increases operational responsibility. Option A incorrectly treats a multi-model endpoint as the cleanest version-rollout mechanism for this canary API requirement.

NEW QUESTION # 75
A company uses an on-premises data analytics platform. The system is highly available in a fully redundant configuration across 12 servers in the company's data center.
The system runs scheduled jobs, both hourly and daily, in addition to one-time requests from users. Scheduled jobs can take between 20 minutes and 2 hours to finish running and have tight SLAs. The scheduled jobs account for 65% of the system usage. User jobs typically finish running in less than 5 minutes and have no SLA.
The user jobs account for 35% of system usage. During system failures, scheduled jobs must continue to meet SLAs. However, user jobs can be delayed.
A solutions architect needs to move the system to Amazon EC2 instances and adopt a consumption-based model to reduce costs with no long-term commitments. The solution must maintain high availability and must not affect the SLAs.
Which solution will meet these requirements MOST cost-effectively?

A. Split the 12 instances across three Availability Zones in the chosen AWS Region. Run three instances in each Availability Zone as On-Demand Instances with Capacity Reservations. Run one instance in each Availability Zone as a Spot Instance.
B. Split the 12 instances across two Availability Zones in the chosen AWS Region. Run two instances in each Availability Zone as On-Demand Instances with Capacity Reservations. Run four instances in each Availability Zone as Spot Instances.
C. Split the 12 instances across three Availability Zones in the chosen AWS Region. Run two instances in each Availability Zone as On-Demand Instances with a Savings Plan. Run two instances in each Availability Zone as Spot Instances.
D. Split the 12 instances across three Availability Zones in the chosen AWS Region. In one of the Availability Zones, run all four instances as On-Demand Instances with Capacity Reservations. Run the remaining instances as Spot Instances.

Answer: A

Explanation:
By splitting the 12 instances across three Availability Zones, the system can maintain high availability and availability of resources in case of a failure. Option D also uses a combination of On-Demand Instances with Capacity Reservations and Spot Instances, which allows for scheduled jobs to be run on the On-Demand instances with guaranteed capacity, while also taking advantage of the cost savings from Spot Instances for the user jobs which have lower SLA requirements.

NEW QUESTION # 76
A company is creating a sequel for a popular online game. A large number of users from all over the world will play the game within the first week after launch. Currently, the game consists of the following components deployed in a single AWS Region:
* Amazon S3 bucket that stores game assets
* Amazon DynamoDB table that stores player scores
A solutions architect needs to design a multi-Region solution that will reduce latency improve reliability, and require the least effort to implement What should the solutions architect do to meet these requirements?

A. Create another S3 bucket in the same Region, and configure S3 Same-Region Replication between the buckets- Create an Amazon CloudFront distribution and configure origin failover with two origin accessing the S3 buckets Create a new DynamoDB table m a new Region Use the new table as a replica target for DynamoDB global tables.
B. Create another S3 bucket in a new Region and configure S3 Cross-Region Replication between the buckets Create an Amazon CloudFront distribution and configure origin failover with two origins accessing the S3 buckets in each Region. Configure DynamoDB global tables by enabling Amazon DynamoDB Streams, and add a replica table in a new Region.
C. Create an Amazon CloudFront distribution to serve assets from the S3 bucket Configure S3 Cross-Region Replication Create a new DynamoDB able in a new Region Use the new table as a replica target tor DynamoDB global tables.
D. Create an Amazon CloudFront distribution to serve assets from the S3 bucket. Configure S3 Same-Region Replication. Create a new DynamoDB able m a new Region. Configure asynchronous replication between the DynamoDB tables by using AWS Database Migration Service (AWS DMS) with change data capture (CDC)

Answer: B

Explanation:
By creating another S3 bucket in a new Region, and configuring S3 Cross-Region Replication between the buckets, the game assets will be replicated to the new Region, reducing latency for users accessing the assets from that region. Additionally, by creating an Amazon CloudFront distribution and configuring origin failover with two origins accessing the S3 buckets in each Region, it ensures that the game assets will be served to users even if one of the regions becomes unavailable.

NEW QUESTION # 77
......

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