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| Section | Weight | Objectives |
|---|---|---|
| Resilient Cloud Solutions | 15% | - High availability and fault tolerance design
|
| SDLC Automation | 22% | - CI/CD pipeline design and implementation
|
| Security and Compliance Automation | 13% | - Security automation in CI/CD and infrastructure
|
| Configuration Management and Infrastructure as Code | 17% | - Infrastructure provisioning and automation
|
| Incident and Event Management | 18% | - Operational response and recovery
|
| Monitoring and Logging | 15% | - Observability and metrics
|
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NEW QUESTION # 344
A company wants to migrate its content sharing web application hosted on Amazon EC2 to a serverless architecture. The company currently deploys changes to its application by creating a new Auto Scaling group of EC2 instances and a new Elastic Load Balancer, and then shifting the traffic away using an Amazon Route 53 weighted routing policy.
For its new serverless application, the company is planning to use Amazon API Gateway and AWS Lambd a. The company will need to update its deployment processes to work with the new application. It will also need to retain the ability to test new features on a small number of users before rolling the features out to the entire user base.
Which deployment strategy will meet these requirements?
Answer: B
NEW QUESTION # 345
A company is reviewing its 1AM policies. One policy written by the DevOps engineer has been (lagged as too permissive.
The policy is used by an AWS Lambda function that issues a stop command to Amazon EC2 instances tagged with Environment: NonProduccion over the weekend. The current policy is:
What changes should the engineer make to achieve a policy ot least permission? (Select THREE.)
Answer: A,B,C
Explanation:
The engineer should make the following changes to achieve a policy of least permission:
* A: Add a condition to ensure that the principal making the request is an AWS Lambda function. This ensures that only Lambda functions can execute this policy.
* B: Narrow down the resources by specifying the ARN of EC2 instances instead of allowing all resources. This ensures that the policy only affects EC2 instances.
* D: Add a condition to ensure that this policy only applies to EC2 instances tagged with "Environment:
NonProduction". This ensures that production environments are not affected by this policy.
References:
* AWS Identity and Access Management (IAM) - AWS Documentation
* Certified DevOps Engineer - Professional (DOP-C02) Study Guide (page 179)
NEW QUESTION # 346
A company is migrating an application to Amazon Elastic Container Service (Amazon ECS). The company wants to consolidate log data in Amazon CloudWatch in the us-west-2 Region. No CloudWatch log groups currently exist for Amazon ECS.
The company receives the following error code when an ECS task attempts to launch:
"service my-service-name was unable to place a task because no container instance met all of its requirements." The ECS task definition includes the following container log configuration:
"logConfiguration": {
"logDriver": "awslogs",
"options": {
"awslogs-create-group": "true",
"awslogs-group": "awslogs-mytask",
"awslogs-region": "us-west-2",
"awslogs-stream-prefix": "awslogs-mytask",
"mode": "non-blocking",
"max-buffer-size": "25m"
}
}
The ECS cluster uses an Amazon EC2 Auto Scaling group to provide capacity for tasks. EC2 instances launch an Amazon ECS-optimized AMI.
Which solution will fix the problem?
Answer: C
Explanation:
When using the awslogs log driver with Amazon ECS on EC2, CloudWatch Logs permissions must be granted to the ECS container instance IAM role, not the task definition or infrastructure role. The ECS agent running on the EC2 instances is responsible for creating log streams and pushing log events to Amazon CloudWatch Logs on behalf of the containers.
In this scenario, the task definition is correctly configured to automatically create the log group (awslogs- create-group: true) and send logs to the specified Region. However, the error occurs because the EC2 container instances do not have sufficient IAM permissions to perform the required CloudWatch Logs API calls. As a result, ECS cannot place the task, and it reports that no container instance meets the requirements.
According to AWS documentation, the container instance IAM role must include the following permissions when using the awslogs driver:
* logs:CreateLogStream
* logs:PutLogEvents
* (and, when creating log groups automatically) logs:CreateLogGroup
Option C correctly addresses the root cause by updating the container instance IAM role. Option A is incorrect because the ECS infrastructure or service role is not used to write logs. Option B is unrelated to permissions and does not resolve the issue. Option D would fail because the log group does not already exist, causing task startup to fail.
Therefore, modifying the container instance IAM role is the correct solution.
NEW QUESTION # 347
A company uses an organization in AWS Organizations to manage multiple AWS accounts The company needs an automated process across all AWS accounts to isolate any compromised Amazon EC2 instances when the instances receive a specific tag.
Which combination of steps will meet these requirements? (Select TWO.)
Answer: B,D
Explanation:
Step 1: Deploy the Automation Solution using CloudFormation StackSets
To automate the process across multiple AWS accounts within an organization, you can use AWS CloudFormation StackSets. StackSets allow you to deploy CloudFormation templates to multiple accounts within an organization, ensuring consistent infrastructure and automation.
Action: Use AWS CloudFormation StackSets to deploy the necessary resources across all AWS accounts.
This includes deploying the Lambda function and security groups that will isolate compromised EC2 instances.
Why: StackSets make it easy to deploy and manage resources across multiple AWS accounts, reducing the operational overhead.
Reference: AWS documentation on CloudFormation StackSets.
This corresponds to Option A: Use AWS CloudFormation StackSets to deploy the CloudFormation stacks in all AWS accounts.
Step 2: Isolate EC2 Instances using Lambda and Security GroupsWhen an EC2 instance is compromised, it needs to be isolated from the network. This can be done by creating a security group with no inbound or outbound rules and attaching it to the instance. A Lambda function can handle this process and can be triggered automatically by an Amazon EventBridge rule when a specific tag (e.g., " isolation " ) is applied to the compromised instance.
Action: Create a Lambda function that attaches an isolated security group (with no inbound or outbound rules) to the compromised EC2 instances. Set up an EventBridge rule to trigger the Lambda function when the " isolation " tag is applied to the instance.
Why: This automates the isolation process, ensuring that any compromised instances are immediately cut off from the network, reducing the potential damage from the compromise.
Reference: AWS documentation on Tag-based Event Handling.
This corresponds to Option E: Create an AWS CloudFormation template that creates an EC2 instance role that has no IAM policies attached. Configure the template to have a security group that has no inbound rules or outbound rules. Use the CloudFormation template to create an AWS Lambda function that attaches the IAM role to instances. Configure the Lambda function to replace any existing security groups with the new security group. Set up an Amazon EventBridge rule to invoke the Lambda function when a specific tag is applied to a compromised EC2 instance.
NEW QUESTION # 348
A company's security policies require the use of security hardened AMIS in production environments. A DevOps engineer has used EC2 Image Builder to create a pipeline that builds the AMIs on a recurring schedule.
The DevOps engineer needs to update the launch templates of the companys Auto Scaling groups. The Auto Scaling groups must use the newest AMIS during the launch of Amazon EC2 instances.
Which solution will meet these requirements with the MOST operational efficiency?
Answer: C
Explanation:
The most operationally efficient solution is to use AWS Systems Manager Parameter Store1 to store the AMI ID and reference it in the launch template2. This way, the launch template does not need to be updated every time a new AMI is created by Image Builder. Instead, the Image Builder pipeline can update the Parameter Store value with the newest AMI ID3, and the Auto Scaling group can launch instances using the latest value from Parameter Store.
The other solutions require updating the launch template or creating a new version of it every time a new AMI is created, which adds complexity and overhead. Additionally, using EventBridge rules and Lambda functions or Run Command documents introduces additional dependencies and potential points of failure.
NEW QUESTION # 349
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