Amazon Web Services marks4sure aws Certified Professional Dop-c02 Book by Milana q30 vce pdf

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Exam Name:	AWS Certified DevOps Engineer - Professional
Exam Code:	DOP-C02 Dumps
Vendor:	Amazon Web Services	Certification:	AWS Certified Professional
Questions:	425 Q&A's	Shared By:	milana

Question 12

A company recently migrated its application to an Amazon Elastic Kubernetes Service (Amazon EKS) cluster that uses Amazon EC2 instances. The company configured the application to automatically scale based on CPU utilization.

The application produces memory errors when it experiences heavy loads. The application also does not scale out enough to handle the increased load. The company needs to collect and analyze memory metrics for the application over time.

Which combination of steps will meet these requirements? (Select THREE.)

Options:

Attach the Cloud WatchAgentServer Pol icy managed 1AM policy to the 1AM instance profile that the cluster uses.

Attach the Cloud WatchAgentServer Pol icy managed 1AM policy to a service account role for the cluster.

Collect performance metrics by deploying the unified Amazon CloudWatch agent to the existing EC2 instances in the cluster. Add the agent to the AMI for any new EC2 instances that are added to the cluster.

Collect performance logs by deploying the AWS Distro for OpenTelemetry collector as a DaemonSet.

Analyze the pod_memory_utilization Amazon CloudWatch metric in the Containerlnsights namespace by using the Service dimension.

Analyze the node_memory_utilization Amazon CloudWatch metric in the Containerlnsights namespace by using the ClusterName dimension.

Discussion

Answer:

A, C, E

Explanation:

 Step 1: Attaching the CloudWatchAgentServerPolicy to the IAM Role

The CloudWatch agent needs permissions to collect and send metrics, including memory metrics, to Amazon CloudWatch. You can attach the CloudWatchAgentServerPolicy managed IAM policy to the IAM instance profile or service account role to grant these permissions.

Action: Attach the CloudWatchAgentServerPolicy managed IAM policy to the IAM instance profile that the EKS cluster uses.

Why: This ensures the CloudWatch agent has the necessary permissions to collect memory metrics.

[Reference: AWS documentation on CloudWatch Agent Permissions., This corresponds to Option A: Attach the CloudWatchAgentServerPolicy managed IAM policy to the IAM instance profile that the cluster uses.,  Step 2: Deploying the CloudWatch Agent to EC2 InstancesTo collect memory metrics from the EC2 instances running in the EKS cluster, the CloudWatch agent needs to be deployed on these instances. The agent collects system-level metrics, including memory usage., Action: Deploy the unified Amazon CloudWatch agent to the existing EC2 instances in the EKS cluster. Update the Amazon Machine Image (AMI) for future instances to include the CloudWatch agent., Why: The CloudWatch agent allows you to collect detailed memory metrics from the EC2 instances, which is not enabled by default., Reference: AWS documentation on Installing and Configuring the CloudWatch Agent., This corresponds to Option C: Collect performance metrics by deploying the unified Amazon CloudWatch agent to the existing EC2 instances in the cluster. Add the agent to the AMI for any new EC2 instances that are added to the cluster.,  Step 3: Analyzing Memory Metrics Using Container InsightsAfter collecting the memory metrics, you can analyze them using the pod_memory_utilization metric in Amazon CloudWatch Container Insights. This metric provides visibility into the memory usage of the containers (pods) in the EKS cluster., Action: Analyze the pod_memory_utilization CloudWatch metric in the Container Insights namespace by using the Service dimension., Why: This provides detailed insights into memory usage at the container level, which helps diagnose memory-related issues., Reference: AWS documentation on CloudWatch Container Insights., This corresponds to Option E: Analyze the pod_memory_utilization Amazon CloudWatch metric in the Container Insights namespace by using the Service dimension., , , ]

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Question 13

A company uses AWS Secrets Manager to store a set of sensitive API keys that an AWS Lambda function uses. When the Lambda function is invoked, the Lambda function retrieves the API keys and makes an API call to an external service. The Secrets Manager secret is encrypted with the default AWS Key Management Service (AWS KMS) key.

A DevOps engineer needs to update the infrastructure to ensure that only the Lambda function ' s execution role can access the values in Secrets Manager. The solution must apply the principle of least privilege.

Which combination of steps will meet these requirements? (Select TWO.)

Options:

Update the default KMS key for Secrets Manager to allow only the Lambda function ' s execution role to decrypt.

Create a KMS customer managed key that trusts Secrets Manager and allows the Lambda function ' s execution role to decrypt. Update Secrets Manager to use the new customer managed key.

Create a KMS customer managed key that trusts Secrets Manager and allows the account ' s :root principal to decrypt. Update Secrets Manager to use the new customer managed key.

Ensure that the Lambda function ' s execution role has the KMS permissions scoped on the resource level. Configure the permissions so that the KMS key can encrypt the Secrets Manager secret.

Remove all KMS permissions from the Lambda function ' s execution role.

Discussion

Answer:

B, D

Explanation:

The requirement is to update the infrastructure to ensure that only the Lambda function’s execution role can access the values in Secrets Manager. The solution must apply the principle of least privilege, which means granting the minimum permissions necessary to perform a task.

To do this, the DevOps engineer needs to use the following steps:

Create a KMS customer managed key that trusts Secrets Manager and allows the Lambda function’s execution role to decrypt. A customer managed key is a symmetric encryption key that is fully managed by the customer. The customer can define the key policy, which specifies who can use and manage the key. By creating a customer managed key, the DevOps engineer can restrict the decryption permission to only the Lambda function’s execution role, and prevent other principals from accessing the secret values. The customer managed key also needs to trust Secrets Manager, which means allowing Secrets Manager to use the key to encrypt and decrypt secrets on behalf of the customer.

Update Secrets Manager to use the new customer managed key. Secrets Manager allows customers to choose which KMS key to use for encrypting each secret. By default, Secrets Manager uses the default KMS key for Secrets Manager, which is a service-managed key that is shared by all customers in the same AWS Region. By updating Secrets Manager to use the new customer managed key, the DevOps engineer can ensure that only the Lambda function’s execution role can decrypt the secret values using that key.

Ensure that the Lambda function’s execution role has the KMS permissions scoped on the resource level. The Lambda function’s execution role is an IAM role that grants permissions to the Lambda function to access AWS services and resources. The role needs to have KMS permissions to use the customer managed key for decryption. However, to apply the principle of least privilege, the role should have the permissions scoped on the resource level, which means specifying the ARN of the customer managed key as a condition in the IAM policy statement. This way, the role can only use that specific key and not any other KMS keys in the account.

Question 14

A company is developing code and wants to use semantic versioning. The company ' s DevOps team needs to create a pipeline for compiling the code. The team also needs to manage versions of the compiled code. If the code uses any open source libraries, the libraries must also be cached in the build process. Which solution will meet these requirements?

Options:

Create an AWS CodeArtifact repository and associate the upstream repositories. Create an AWS CodeBuild project that builds the semantic version of the code artifacts. Configure the project to authenticate and connect to the CodeArtifact repository and publish the artifact to the repository.

Use AWS CodeDeploy to upload the generated semantic version of the artifact to an Amazon Elastic File System (Amazon EFS) file system.

Use an AWS CodeBuild project to build the code and to publish the generated semantic version of the artifact to AWS Artifact. Configure build caching in the CodeBuild project.

Create a new AWS CodeArtifact repository. Create an AWS Lambda function that pulls open source packages from the internet and publishes the packages to the repository. Configure AWS CodeDeploy to build semantic versions of the code and publish the versions to the repository.

Discussion

Question 15

A company manages a web application that runs on Amazon EC2 instances behind an Application Load Balancer (ALB). The EC2 instances run in an Auto Scaling group across multiple Availability Zones. The application uses an Amazon RDS for MySQL DB instance to store the data. The company has configured Amazon Route 53 with an alias record that points to the ALB.

A new company guideline requires a geographically isolated disaster recovery (DR > site with an RTO of 4 hours and an RPO of 15 minutes.

Which DR strategy will meet these requirements with the LEAST change to the application stack?

Options:

Launch a replica environment of everything except Amazon RDS in a different Availability Zone Create an RDS read replica in the new Availability Zone: and configure the new stack to point to the local RDS DB instance. Add the new stack to the Route 53 record set by using a hearth check to configure a failover routing policy.

Launch a replica environment of everything except Amazon RDS in a different AWS. Region Create an RDS read replica in the new Region and configure the new stack to point to the local RDS DB instance. Add the new stack to the Route 53 record set by using a health check to configure a latency routing policy.

Launch a replica environment of everything except Amazon RDS ma different AWS Region. In the event of an outage copy and restore the latest RDS snapshot from the primary. Region to the DR Region Adjust the Route 53 record set to point to the ALB in the DR Region.

Launch a replica environment of everything except Amazon RDS in a different AWS Region. Create an RDS read replica in the new Region and configure the new environment to point to the local RDS DB instance. Add the new stack to the Route 53 record set by using a health check to configure a failover routing policy. In the event of an outage promote the read replica to primary.

Discussion

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