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SAP-C02 Premium Exam Questions

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AWS Certified Solutions Architect - Professional Questions and Answers

Question 33

A company recently acquired several other companies. Each company has a separate AWS account with a different billing and reporting method. The acquiring company has consolidated all the accounts into one organization in AWS Organizations. However, the acquiring company has found it difficult to generate a cost report that contains meaningful groups for all the teams.

The acquiring company’s finance team needs a solution to report on costs for all the companies through a self-managed application.

Which solution will meet these requirements?

Options:

A.

Create an AWS Cost and Usage Report for the organization. Define tags and cost categories in the report. Create a table in Amazon Athena. Create an Amazon QuickSight dataset based on the Athena table. Share the dataset with the finance team.

B.

Create an AWS Cost and Usage Report for the organization. Define tags and cost categories in the report. Create a specialized template in AWS Cost Explorer that the finance department will use to build reports.

C.

Create an Amazon QuickSight dataset that receives spending information from the AWS Price List Query API. Share the dataset with the finance team.

D.

Use the AWS Price List Query API to collect account spending information. Create a specialized template in AWS Cost Explorer that the finance department will use to build reports.

Question 34

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?

Options:

A.

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.

B.

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.

C.

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 therelevant customer.

D.

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.

Question 35

A company runs a web application on a single Amazon EC2 instance. End users experience slow application performance during times of peak usage, when CPU utilization is consistently more than 95%.

A user data script installs required custom packages on the EC2 instance. The process of launchingthe instance takes several minutes.

The company is creating an Auto Scaling group that has mixed instance groups, varied CPUs, and a maximum capacity limit. The Auto Scaling group will use a launch template for various configuration options. The company needs to decrease application latency when new instances are launched during auto scaling.

Which solution will meet these requirements?

Options:

A.

Use a predictive scaling policy. Use an instance maintenance policy to run the user data script. Set the default instance warmup time to 0 seconds.

B.

Use a dynamic scaling policy. Use lifecycle hooks to run the user data script. Set the default instance warmup time to 0 seconds.

C.

Use a predictive scaling policy. Enable warm pools for the Auto Scaling group. Use an instance maintenance policy to run the user data script.

D.

Use a dynamic scaling policy. Enable warm pools for the Auto Scaling group. Use lifecycle hooks to run the user data script.

Question 36

An ecommerce company runs an application on AWS. The application has an Amazon API Gateway API that invokes an AWS Lambda function. The data is stored in an Amazon RDS for PostgreSQL DB instance.

During the company's most recent flash sale, a sudden increase in API calls negatively affected the application's performance. A solutions architect reviewed the Amazon CloudWatch metrics during that time and noticed a significant increase in Lambda invocations and database connections. The CPU utilization also was high on the DB instance.

What should the solutions architect recommend to optimize the application's performance?

Options:

A.

Increase the memory of the Lambda function. Modify the Lambda function to close the database connections when the data is retrieved.

B.

Add an Amazon ElastiCache for Redis cluster to store the frequently accessed data from the RDS database.

C.

Create an RDS proxy by using the Lambda console. Modify the Lambda function to use the proxy endpoint.

D.

Modify the Lambda function to connect to the database outside of the function's handler. Check for an existing database connection before creating a new connection.

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