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Amazon SAP-C02 Exam Syllabus Topics:

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

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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q378-Q383):

NEW QUESTION # 378
A company is providing weather data over a REST-based API to several customers. The API is hosted by Amazon API Gateway and is integrated with different AWS Lambda functions for each API operation. The company uses Amazon Route 53 for DNS and has created a resource record of weather.example.com. The company stores data for the API in Amazon DynamoDB tables.
The company needs a solution that will give the API the ability to fail over to a different AWS Region.
Which solution will meet these requirements?

A. Deploy a new API Gateway API in a new Region. Change the Lambda functions to global functions. Change the Route 53 DNS record to a multivalue answer. Add both API Gateway APIs to the answer. Enable target health monitoring. Convert the DynamoDB tables to global tables.
B. Deploy a new API Gateway API and Lambda functions in another Region. Change the Route 53 DNS record to a failover record. Enable target health monitoring. Convert the DynamoDB tables to global tables.
C. Deploy a new API Gateway API and Lambda functions in another Region. Change the Route 53 DNS record to a multivalue answer. Add both API Gateway APIs to the answer. Enable target health monitoring. Convert the DynamoDB tables to global tables.
D. Deploy a new set of Lambda functions in a new Region. Update the API Gateway API to use an edge-optimized API endpoint with Lambda functions from both Regions as targets. Convert the DynamoDB tables to global tables.

Answer: B

Explanation:
https://docs.aws.amazon.com/apigateway/latest/developerguide/dns-failover.html

NEW QUESTION # 379
A company uses AWS Organizations and tags every resource with a BusinessUnit tag. They want to allocate cloud costs by business unit and visualize them. Which approach meets these requirements with the least operational overhead?

A. Activate BusinessUnit cost allocation tag in the management account. Create a CUR to S3. Use Athena + QuickSight for reporting.
B. Create cost allocation tags in the management account. Deploy CURs per account.
C. Create cost allocation tags in each member account. Use CloudWatch Dashboards.
D. Use tags and CUR per account. Visualize with QuickSight from management account.

Answer: A

NEW QUESTION # 380
A company is planning to migrate 1,000 on-premises servers to AWS. The servers run on several VMware clusters in the company's data center. As part of the migration plan, the company wants to gather server metrics such as CPU details, RAM usage, operating system information, and running processes. The company then wants to query and analyze the data.
Which solution will meet these requirements?

A. Export only the VM performance information from the on-premises hosts. Directly import the required data into AWS Migration Hub. Update any missing information in Migration Hub. Query the data by using Amazon QuickSight.
B. Create a script to automatically gather the server information from the on-premises hosts. Use the AWS CLI to run the put-resource-attributes command to store the detailed server data in AWS Migration Hub. Query the data directly in the Migration Hub console.
C. Deploy and configure the AWS Agentless Discovery Connector virtual appliance on the on-premises hosts. Configure Data Exploration in AWS Migration Hub. Use AWS Glue to perform an ETL job against the data. Query the data by using Amazon S3 Select.
D. Deploy the AWS Application Discovery Agent to each on-premises server. Configure Data Exploration in AWS Migration Hub. Use Amazon Athena to run predefined queries against the data in Amazon S3.

Answer: C

Explanation:
The Agentless Discovery Connector is a virtual appliance that can be deployed on-premises to automatically discover the servers, applications, and network infrastructure in the data center. It can collect server metrics such as CPU details, RAM usage, operating system information, and running processes. The data collected can then be used in AWS Migration Hub to track the migration progress and identify dependencies.
AWS Glue can be used to perform an ETL job on the data collected by the Agentless Discovery Connector to prepare the data for analysis. The data can then be stored in Amazon S3 and queried using Amazon S3 Select, which allows you to retrieve specific data from a S3 object.
AWS Migration Hub provides a centralized place to track and monitor the progress of an application migration. The service allow you to track on-premises and cloud-based resources, and it provides a holistic view of your migration progress.
Reference:
https://aws.amazon.com/migration-hub/
https://aws.amazon.com/discovery-connector/
https://aws.amazon.com/glue/
https://aws.amazon.com/s3/features/select/

NEW QUESTION # 381
A company wants to deploy an API to AWS. The company plans to run the API on AWS Fargate behind a load balancer. The API requires the use of header-based routing and must be accessible from on-premises networks through an AWS Direct Connect connection and a private VIF.
The company needs to add the client IP addresses that connect to the API to an allow list in AWS. The company also needs to add the IP addresses of the API to the allow list. The company's security team will allow /27 CIDR ranges to be added to the allow list. The solution must minimize complexity and operational overhead.
Which solution will meet these requirements?

A. Create two new '27 subnets. Create a new Network Load Balancer (NLB) that extends across the new subnets. Create a new Application Load Balancer (ALB) within the new subnets. Create a security group that includes only the client IP addresses that need access to the API. Attach the security group to the ALB. Add the ALB's IP addresses as targets behind the NLB. Provide the security team with the NLB's IP addresses for the allow list.
B. Create a new Network Load Balancer (NLB) in the same subnets as the Fargate task deployments.
Create a security group that includes only the client IP addresses that need access to the API. Attach the new security group to the Fargate tasks. Provide the security team with the NLB's IP addresses for the allow list.
C. Create a new Application Load Balancer (ALB) in the same subnets as the Fargate task deployments.
Create a security group that includes only the client IP addresses that need access to the API. Attach the security group to the ALB. Provide the security team with the ALB's IP addresses for the allow list.
D. Create two new /27 subnets. Create a new Application Load Balancer (ALB) that extends across the new subnets. Create a security group that includes only the client IP addresses that need access to the API.
Attach the security group to the ALB. Provide the security team with the new subnet IP ranges for the allow list.

Answer: B

NEW QUESTION # 382
A company owns a chain of travel agencies and is running an application in the AWS Cloud. Company employees use the application to search for information about travel destinations. Destination content is updated four times each year.
Two fixed Amazon EC2 instances serve the application. The company uses an Amazon Route 53 public hosted zone with a multivalue record of travel.example.com that returns the Elastic IP addresses for the EC2 instances. The application uses Amazon DynamoDB as its primary data store. The company uses a self-hosted Redis instance as a caching solution.
During content updates, the load on the EC2 instances and the caching solution increases drastically. This increased load has led to downtime on several occasions. A solutions architect must update the application so that the application is highly available and can handle the load that is generated by the content updates.
Which solution will meet these requirements?

A. Set up DynamoDB Accelerator (DAX) as in-memory cache. Update the application to use DAX. Create an Auto Scaling group for the EC2 instances. Create an Application Load Balancer (ALB). Set the Auto Scaling group as a target for the ALB. Update the Route 53 record to use a simple routing policy that targets the ALB's DNS alias. Configure scheduled scaling for the EC2 instances before the content updates.
B. Set up Amazon ElastiCache for Memcached. Update the application to use ElastiCache Create an Auto Scaling group for the EC2 instances. Create an Application Load Balancer (ALB). Set the Auto Scaling group as a target for the ALB. Update the Route 53 record to use a simple routing policy that targets the ALB's DNS alias. Configure scheduled scaling for the application before the content updates.
C. Set up Amazon ElastiCache for Redis. Update the application to use ElastiCache. Create an Auto Scaling group for the EC2 instances. Create an Amazon CloudFront distribution, and set the Auto Scaling group as an origin for the distribution. Update the Route 53 record to use a simple routing policy that targets the CloudFront distribution's DNS alias. Manually scale up EC2 instances before the content updates.
D. Set up DynamoDB Accelerator (DAX) as in-memory cache. Update the application to use DAX. Create an Auto Scaling group for the EC2 instances. Create an Amazon CloudFront distribution, and set the Auto Scaling group as an origin for the distribution. Update the Route 53 record to use a simple routing policy that targets the CloudFront distribution's DNS alias. Manually scale up EC2 instances before the content updates.

Answer: A

Explanation:
This option allows the company to use DAX to improve the performance and reduce the latency of the DynamoDB queries by caching the results in memory1. By updating the application to use DAX, the company can reduce the load on the DynamoDB tables and avoid throttling errors1. By creating an Auto Scaling group for the EC2 instances, the company can adjust the number of instances based on the demand and ensure high availability2. By creating an ALB, the company can distribute the incoming traffic across multiple EC2 instances and improve fault tolerance3. By updating the Route 53 record to use a simple routing policy that targets the ALB's DNS alias, the company can route users to the ALB endpoint and leverage its health checks and load balancing features4. By configuring scheduled scaling for the EC2 instances before the content updates, the company can anticipate and handle traffic spikes during peak periods5.
What is Amazon DynamoDB Accelerator (DAX)?
What is Amazon EC2 Auto Scaling?
What is an Application Load Balancer?
Choosing a routing policy
Scheduled scaling for Amazon EC2 Auto Scaling

NEW QUESTION # 383
......

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