Free Amazon DOP-C02 Exam Questions

Question 1

The company's DevOps engineer discovered that the errors were caused by RDS connection limits being reached. The DevOps engineer also discovered that more than 90% of the API requests are GET requests that read from the DB cluster. How should the DevOps engineer solve this problem with the LEAST development effort?

A : Migrate from Amazon RDS to Amazon DynamoDB. Add an Amazon CloudFront distribution in front of the API Gateway REST API.

B : Add a proxy from Amazon RDS Proxy in front of the RDS DB cluster. Enable API caching in API Gateway.

C : Add an Amazon RDS Proxy in front of the RDS database cluster. Provision an Amazon ElastiCache (Redis OSS) cluster.

D : Migrate from Amazon RDS to Amazon DynamoDB. Enable API caching in API Gateway.

Answer: B

Question 2

A leading telecommunications company is using CloudFormation templates to deploy enterprise applications to their production, staging, and development environments in AWS. Their current process involves manual changes to their CloudFormation templates in order to specify the configuration variables and static attributes for each environment. The DevOps Engineer was tasked to set up automated deployments using AWS CodePipeline and ensure that the CloudFormation template is reusable across multiple pipelines.

How should the DevOps Engineer satisfy this requirement?

A : t up a Lambda-backed custom resource in the CloudFormation templates. Configure the custom resource to monitor the status of the pipeline in AWS CodePipeline in order to detect which environment was launched. Use the cfn-init helper script to modify the launch configuration of each application stack based on its environment.

B : unch a new pipeline using AWS CodePipeline that has multiple stages for each environment and configure it to use input parameters. Switch the associated UserData of the EC2 instances to match the environment where the application stack is being launched using CloudFormation mappings. Specify parameter overrides for AWS CloudFormation actions.

C : nually configure the CloudFormation templates to use input parameters. Add a configuration that whenever the CloudFormation stack is updated, it will dynamically modify the LaunchConfiguration and UserData sections of the EC2 instances.

D : unch a new pipeline using AWS CodePipeline for each environment with multiple stages for each application. Trigger the CloudFormation deployments using a Lambda function to dynamically modify the UserData of the EC2 instances that were launched in each environment.

Answer: B

Question 3

A company has a web application that is hosted on Amazon EC2 instances. The company is deploying the application into multiple AWS Regions. The application consists of dynamic content such as WebSocket-based real-time product updates. The company uses Amazon Route 53 to manage all DNS records. Which solution will provide multi-Region access to the application with the LEAST latency?

A : Deploy an Application Load Balancer (ALB) in front of the EC2 instances in each Region. Create a Route 53 A record with a latency-based routing policy. Add IP addresses of the ALBs as the value of the record.

B : Deploy an Application Load Balancer (ALB) in front of the EC2 instances in each Region. Deploy an Amazon CloudFront distribution with an origin group that contains the ALBs as origins. Create a Route 53 alias record that points to the CloudFront distribution's DNS address.

C : Deploy a Network Load Balancer (NLB) in front of the EC2 instances in each Region. Create a Route 53 A record with a multivalue answer routing policy. Add IP addresses of the NLBs as the value of the record.

D : Deploy a Network Load Balancer (NLB) in front of the EC2 instances in each Region. Deploy an AWS Global Accelerator standard accelerator with an endpoint group for each NLB. Create a Route 53 alias record that points to the accelerator's DNS address.

Answer: A

Question 4

A company is developing a web application that runs on Amazon EC2 Linux instances. The application requires monitoring of custom performance metrics. The company must collect metrics for API response times and database query latency across multiple instances. Which solution will generate the custom metrics with the LEAST operational overhead?

A : Install the Amazon CloudWatch agent on the instances. Configure the agent to collect the custom metrics. Instrument the application to send the metrics to the agent.

B : Use Amazon Managed Service for Prometheus to scrape the custom metrics from the application. Use the Amazon CloudWatch agent to forward the metrics to CloudWatch.

C : Create a custom AWS Lambda function that polls the application endpoints and database at regular intervals. Program the Lambda function to calculate the custom metrics and to send the metrics to Amazon CloudWatch by using PutMetricData API calls.

D : Implement custom logging in the application code to record the custom metrics. Use Amazon CloudWatch Logs Insights to extract and analyze the metrics.

Answer: A

Question 5

A SaaS company uses ECS (Fargate) behind an ALB and CodePipeline + CodeDeploy for blue/green deployments. They need automatic, incremental traffic shifting over time with no downtime. Which solution will meet these requirements?

A : Use TimeBasedLinear in appspec.yaml with defined percentage and interval.

B : Use AllAtOnce deployment configuration.

C : Use TimeBasedCanary.

D : Configure weighted routing on ALB manually.

Answer: A