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The SAP-C02 certification exam is an important milestone for IT professionals who want to advance their careers in cloud computing. It demonstrates their expertise in designing and deploying complex applications on the AWS platform and validates their skills and knowledge to potential employers. By passing the SAP-C02 Exam, candidates can prove their proficiency in managing and deploying cloud-based solutions at an enterprise level.

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The SAP-C02 exam is a comprehensive test that covers a wide range of topics related to AWS architecture, including designing and deploying highly available, fault-tolerant, and scalable systems, selecting the appropriate AWS services to meet specific application requirements, and designing and deploying enterprise-wide scalable operations on AWS. SAP-C02 Exam also covers advanced security topics, including data encryption, identity and access management, and network security.

Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q235-Q240):

NEW QUESTION # 235
A company is launching a new online game on Amazon EC2 instances. The game must be available globally. The company plans to run the game in three AWS Regions us-east-1, eu-west-
1, and ap-southeast-1. The game's leaderboards, player inventory and event status must be available across Regions.
A solutions architect must design a solution that will give any Region the ability to scale to handle the load of all Regions. Additionally, users must automatically connect to the Region that provides the least latency.
Which solution will meet these requirements with the LEAST operational overhead?

A. Create an Auto Scaling group for the EC2 instances. Attach the Auto Scaling group to a Network Load Balancer (NLB) in each Region. For each Region, create an Amazon Route 53 entry that uses latency-based routing and points to the NLB in that Region. Save the game metadata to an Amazon DynamoDB global table.
B. Create an Auto Scaling group for the EC2 instances Attach the Auto Scaling group to a Network Load Balancer (NLB) in each Region. For each Region, create an Amazon Route 53 entry that uses geoproximity routing and points to the NLB in that Region. Save the game metadata to MySQL databases on EC2 instances in each Region. Set up replication between the database EC2 instances in each Region.
C. Use EC2 Global View. Deploy the EC2 instances to each Region. Attach the instances to a Network Load Balancer (NLB). Deploy a DNS server on an EC2 instance in each Region. Set up custom logic on each DNS server to redirect the user to the Region that provides the lowest latency. Save the game metadata to an Amazon Aurora global database.
D. Create an EC2 Spot Fleet. Attach the Spot Fleet to a Network Load Balancer (NLB) in each Region. Create an AWS Global Accelerator IP address that points to the NLB. Create an Amazon Route 53 latency-based routing entry for the Global Accelerator IP address. Save the game metadata to an Amazon RDS for MySQL DB instance in each Region. Set up a read replica in the other Regions.

Answer: A

Explanation:
Autoscaling and NLB for Load Distribution, Latency Routing for Least Latency and DynamoDB Global Table for replication across regin.

NEW QUESTION # 236
A company is running an application in the AWS Cloud. The application consists of microservices that run on a fleet of Amazon EC2 instances in multiple Availability Zones behind an Application Load Balancer. The company recently added a new REST API that was implemented in Amazon API Gateway. Some of the older microservices that run on EC2 instances need to call this new API.
The company does not want the API to be accessible from the public internet and does not want proprietary data to traverse the public internet.
What should a solutions architect do to meet these requirements?

A. Create an interface VPC endpoint for API Gateway, and set an endpoint policy to only allow access to the specific API. Add a resource policy to API Gateway to only allow access from the VPC endpoint. Change the API Gateway endpoint type to private.
B. Create an AWS Site-to-Site VPN connection between the VPC and the API Gateway. Use API Gateway to generate a unique API Key for each microservice. Configure the API methods to require the key.
C. Modify the API Gateway to use IAM authentication. Update the IAM policy for the IAM role that is assigned to the EC2 instances to allow access to the API Gateway. Move the API Gateway into a new VPDeploy a transit gateway and connect the VPCs.
D. Create an accelerator in AWS Global Accelerator, and connect the accelerator to the API Gateway. Update the route table for all VPC subnets with a route to the created Global Accelerator endpoint IP address. Add an API key for each service to use for authentication.

Answer: A

Explanation:
By implementing this solution, the company can ensure that the new API in API Gateway is not accessible from the public internet. The interface VPC endpoint provides private connectivity, allowing secure communication between the microservices running on EC2 instances and the API Gateway. This ensures the proprietary data does not traverse the public internet, enhancing security and data protection.

NEW QUESTION # 237
A company is building a software-as-a-service (SaaS) solution on AWS. The company has deployed an Amazon API Gateway REST API with AWS Lambda integration in multiple AWS Regions and in the same production account. The company offers tiered pricing that gives customers the ability to pay for the capacity to make a certain number of API calls per second.
The premium tier offers up to 3,000 calls per second, and customers are identified by a unique API key. Several premium tier customers in various Regions report that they receive error responses of 429 Too Many Requests from multiple API methods during peak usage hours. Logs indicate that the Lambda function is never invoked.
What could be the cause of the error messages for these customers?

A. The Lambda function its Region limit for concurrency.
B. The company reached its API Gateway account limit for calls per second.
C. The Lambda function reached its concurrency limit.
D. The company reached its API Gateway default per-method limit for calls per second.

Answer: B

Explanation:
The company reached its API Gateway account limit for calls per second. This is because Amazon API Gateway has a default account-level limit of 10,000 requests per second (RPS) and a default per-method limit of 5,000 RPS. If the company's premium tier customers are making more than 10,000 requests per second in total across all API methods and regions, they would be receiving the error message of 429 Too Many Requests. This indicates that the API Gateway account is reaching its capacity limit, and the Lambda function is not being invoked because API Gateway is blocking the requests before they reach the Lambda function.
https://docs.aws.amazon.com/apigateway/latest/developerguide/api-gateway-request- throttling.html#apig-request-throttling-account-level-limits

NEW QUESTION # 238
A company is building an application that will run on an AWS Lambda function. Hundreds of customers will use the application. The company wants to give each customer a quota of requests for a specific time period.
The quotas must match customer usage patterns. Some customers must receive a higher quota for a shorter time period.
Which solution will meet these requirements?

A. Create an Amazon API Gateway HTTP API with a proxy integration to invoke the Lambda function.For each customer, configure an API Gateway usage plan that includes an appropriate request quota.Configure route-level throttling for each usage plan. Create an API key from the usage plan for each user that the customer needs.
B. Create an Amazon API Gateway REST API with a proxy integration to invoke the Lambda function.For each customer, configure an API Gateway usage plan that includes an appropriate request quota.Create an API key from the usage plan for each user that the customer needs.
C. Create an Application Load Balancer (ALB) in a VPC. Configure the Lambda function as a target for the ALB. Configure an AWS WAF web ACL for the ALB. For each customer, configure a rate-based rule that includes an appropriate request quota.
D. Create a Lambda function alias for each customer. Include a concurrency limit with an appropriate request quota. Create a Lambda function URL for each function alias. Share the Lambda function URL for each alias with the relevant customer.

Answer: B

Explanation:
Explanation
The correct answer is A.
A: This solution meets the requirements because it allows the company to create different usage plans for each customer, with different request quotas and time periods. The usage plans can be associated with API keys, which can be distributed to the users of each customer. The API Gateway REST API can invoke the Lambda function using a proxy integration, which passes the request data to the function as input and returns the function output as the response. This solution is scalable, secure, and cost-effective12 B: This solution is incorrect because API Gateway HTTP APIs do not support usage plans or API keys. These features are only available for REST APIs3 C: This solution is incorrect because it does not provide a way to enforce request quotas for each customer.
Lambda function aliases can be used to create different versions of the function, but they do not have any quota mechanism. Moreover, this solution exposes the Lambda function URLs directly to the customers, which is not secure or recommended4 D: This solution is incorrect because it does not provide a way to differentiate between customers or users.
AWS WAF rate-based rules can be used to limit requests based on IP addresses, but they do not support any other criteria such as user agents or headers. Moreover, this solution adds unnecessary complexity and cost by using an ALB and a VPC56 References:
1: Creating and using usage plans with API keys - Amazon API Gateway 2: Set up a proxy integration with a Lambda proxy integration - Amazon API Gateway 3: Choose between HTTP APIs and REST APIs - Amazon API Gateway 4: Using AWS Lambda aliases - AWS Lambda 5: Rate-based rule statement - AWS WAF, AWS Firewall Manager, and AWS Shield Advanced 6: Lambda functions as targets for Application Load Balancers
- Elastic Load Balancing

NEW QUESTION # 239
A company wants to use AWS IAM Identity Center (AWS Single Sign-On) to manage employee access to AWS services. The company uses AWS Organizations to manage its AWS accounts.
Each employee has their own IAM user. Each IAM user is a member of at least one IAM group. Each IAM group has an attached policy that allows members to assume specific roles across the accounts. The roles contain appropriate policies for the expected activities of each group of users in each account. All relevant accounts exist inside a single OU.
The company has already created new users and groups in IAM Identity Center to match the permissions that exist in IAM.
How should the company use IAM Identity Center to implement the existing permissions?

A. For each group, create policies in each account. Give the policies the same name in each account. Create a new permission set. Add the name of the new policies to the permission set. Assign user access to the AWS accounts in IAM Identity Center.
B. For each group, create a new permission set. Attach the relevant existing IAM roles in each account to the permission set. Create a new customer managed policy that allows the group to assume the roles.
Assign user access to the AWS accounts in IAM Identity Center.
C. For each group, create a new permission set. Create policies in each account. Give each policy a unique name. Set the path of each policy to match the name of the permission set. Assign user access to the AWS accounts in IAM Identity Center.
D. Add the OU to the accounts configuration in IAM Identity Center. For each group, create policies in each account. Create a new permission set. Add the new policies to the permission set as customer managed policies. Attach each new policy to the correct account in the account configuration in IAM Identity Center.

Answer: B

Explanation:
Explanation
The correct answer is B. This option uses IAM Identity Center to create permission sets that map to the existing IAM roles in each account. This way, the company can leverage the existing policies and roles that are already configured for the expected activities of each group of users in each account. The company also needs to create a customer managed policy that allows the group to assume the roles and attach it to the permission set. This policy grants the necessary permissions for IAM Identity Center to assume the roles on behalf of the users. Finally, the company can assign user access to the AWS accounts in IAM Identity Center, which will automatically create IAM users and groups in each account based on the permission sets.
Option A is incorrect because it requires creating new policies in each account and giving them the same name. This is not necessary and adds complexity and overhead. The company can use the existing IAM roles and policies that are already configured for each account.
Option C is incorrect because it requires creating new policies in each account and giving them unique names.
This is also not necessary and adds complexity and overhead. The company can use the existing IAM roles and policies that are already configured for each account.
Option D is incorrect because it requires adding the OU to the accounts configuration in IAM Identity Center.
This is not supported by IAM Identity Center, which only allows adding individual accounts or all accounts in an organization.

NEW QUESTION # 240
......

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