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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Incident and Event Response | 14% | - Improve operational processes
|
| Topic 2: Security, Governance, and Compliance | 17% | - Implement security controls
|
| Topic 3: Monitoring and Logging | 15% | - Automate incident response
|
| Topic 4: Resilient Cloud Solutions | 15% | - Ensure reliability and scalability
|
| Topic 5: SDLC Automation | 22% | - Implement CI/CD pipelines
|
| Topic 6: Configuration Management and Infrastructure as Code | 17% | - Automate configuration management
|
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NEW QUESTION # 224
A company is performing vulnerability scanning for all Amazon EC2 instances across many accounts. The accounts are in an organization in AWS Organizations. Each account's VPCs are attached to a shared transit gateway. The VPCs send traffic to the internet through a central egress VPC. The company has enabled Amazon Inspector in a delegated administrator account and has enabled scanning for all member accounts.
A DevOps engineer discovers that some EC2 instances are listed in the "not scanning" tab in Amazon Inspector.
Which combination of actions should the DevOps engineer take to resolve this issue? (Choose three.)
Answer: C,E,F
NEW QUESTION # 225
A company sells products through an ecommerce web application The company wants a dashboard that shows a pie chart of product transaction details. The company wants to integrate the dashboard With the company's existing Amazon CloudWatch dashboards Which solution Will meet these requirements With the MOST operational efficiency?
Answer: C
Explanation:
The correct answer is A.
A comprehensive and detailed explanation is:
Option A is correct because it meets the requirements with the most operational efficiency. Updating the ecommerce application to emit a JSON object to a CloudWatch log group for each processed transaction is a simple and cost-effective way to collect the data needed for the dashboard. Using CloudWatch Logs Insights to query the log group and to visualize the results in a pie chart format is also a convenient and integrated solution that leverages the existing CloudWatch dashboards. Attaching the results to the desired CloudWatch dashboard is straightforward and does not require any additional steps or services.
Option B is incorrect because it introduces unnecessary complexity and cost. Updating the ecommerce application to emit a JSON object to an Amazon S3 bucket for each processed transaction is a valid way to store the data, but it requires creating and managing an S3 bucket and its permissions. Using Amazon Athena to query the S3 bucket and to visualize the results in a pie chart format is also a valid way to analyze the data, but it incurs charges based on the amount of data scanned by each query. Exporting the results from Athena and attaching them to the desired CloudWatch dashboard is also an extra step that adds more overhead and latency.
Option C is incorrect because it uses AWS X-Ray for an inappropriate purpose. Updating the ecommerce application to use AWS X-Ray for instrumentation is a good practice for monitoring and tracing distributed applications, but it is not designed for aggregating product transaction details. Creating a new X-Ray subsegment and adding an annotation for each processed transaction is possible, but it would clutter the X-Ray service map and make it harder to debug performance issues. Using X-Ray traces to query the data and to visualize the results in a pie chart format is also possible, but it would require custom code and logic that are not supported by X-Ray natively. Attaching the results to the desired CloudWatch dashboard is also not supported by X-Ray directly, and would require additional steps or services.
Option D is incorrect because it introduces unnecessary complexity and cost. Updating the ecommerce application to emit a JSON object to a CloudWatch log group for each processed transaction is a simple and cost-effective way to collect the data needed for the dashboard, as in option A) However, creating an AWS Lambda function to aggregate and write the results to Amazon DynamoDB is redundant, as CloudWatch Logs Insights can already perform aggregation queries on log data. Creating a Lambda subscription filter for the log file is also redundant, as CloudWatch Logs Insights can already access log data directly. Attaching the results to the desired CloudWatch dashboard would also require additional steps or services, as DynamoDB does not support native integration with CloudWatch dashboards.
References:
CloudWatch Logs Insights
Amazon Athena
AWS X-Ray
AWS Lambda
Amazon DynamoDB
NEW QUESTION # 226
A company has deployed a critical application in two AWS Regions. The application uses an Application Load Balancer (ALB) in both Regions. The company has Amazon Route 53 alias DNS records for both ALBs.
The company uses Amazon Route 53 Application Recovery Controller to ensure that the application can fail over between the two Regions. The Route 53 ARC configuration includes a routing control for both Regions. The company uses Route 53 ARC to perform quarterly disaster recovery (DR) tests.
During the most recent DR test, a DevOps engineer accidentally turned off both routing controls. The company needs to ensure that at least one routing control is turned on at all times.
Which solution will meet these requirements?
Answer: A
Explanation:
The correct solution is to create a new assertion safety rule in Route 53 ARC and apply it to the two routing controls. An assertion safety rule is a type of safety rule that ensures that a minimum number of routing controls are always enabled. The ATLEAST type of assertion safety rule specifies the minimum number of routing controls that must be enabled for the rule to evaluate as healthy. By setting the threshold to 1, the rule ensures that at least one routing control is always turned on. This prevents the scenario where both routing controls are accidentally turned off and the application becomes unavailable in both Regions.
The other solutions are incorrect because they do not use safety rules to prevent both routing controls from being turned off. A gating safety rule is a type of safety rule that prevents routing control state changes that violate the rule logic. The OR type of gating safety rule specifies that one or more routing controls must be enabled for the rule to evaluate as healthy. However, this rule does not prevent a user from turning off both routing controls manually. A resource set is a collection of resources that are tested for readiness by Route 53 ARC. A readiness check is a test that verifies that all the resources in a resource set are operational. However, these concepts are not related to routing control states or safety rules. Therefore, creating a new resource set and a new readiness check will not ensure that at least one routing control is turned on at all times. Reference:
Routing control in Amazon Route 53 Application Recovery Controller
Viewing and updating routing control states in Route 53 ARC
Creating a control panel in Route 53 ARC
Creating safety rules in Route 53 ARC
NEW QUESTION # 227
A company runs a website by using an Amazon Elastic Container Service (Amazon ECS) service that is connected to an Application Load Balancer (ALB). The service was in a steady state with tasks responding to requests successfully. A DevOps engineer updated the task definition with a new container image and deployed the new task definition to the service. The DevOps engineer noticed that the service is frequently stopping and starting new tasks because the ALB health checks are failing. What should the DevOps engineer do to troubleshoot the failed deployment?
Answer: A
NEW QUESTION # 228
A company's DevOps team manages a set of AWS accounts that are in an organization in AWS Organizations The company needs a solution that ensures that all Amazon EC2 instances use approved AMIs that the DevOps team manages. The solution also must remediate the usage of AMIs that are not approved The individual account administrators must not be able to remove the restriction to use approved AMIs.
Which solution will meet these requirements?
Answer: A
Explanation:
Enable AWS Config Across the Organization:
AWS Config provides a detailed view of the configuration of AWS resources in your AWS account. It can be used to assess, audit, and evaluate the configurations of your resources.
Enabling AWS Config across the organization ensures that all accounts are monitored for compliance.
Create a Conformance Pack Using the approved-amis-by-id AWS Config Managed Rule:
A conformance pack is a collection of AWS Config rules and remediation actions that can be easily deployed across an organization.
The approved-amis-by-id managed rule checks whether running instances are using approved AMIs.
Deploy the Conformance Pack Across the Organization:
Deploying the conformance pack across the organization ensures that all accounts adhere to the policy of using only approved AMIs.
The conformance pack can be deployed via the AWS Management Console, CLI, or SDKs.
Configure the Rule to Run the AWS-StopEC2Instance AWS Systems Manager Automation Runbook for Non-Compliant EC2 Instances:
The AWS-StopEC2Instance runbook can be configured to automatically stop any EC2 instances that are found to be non-compliant (i.e., not using approved AMIs).
This remediation action ensures that any unauthorized instances are promptly stopped, enforcing the policy without manual intervention.
By following these steps, the solution ensures that all EC2 instances across the organization use approved AMIs, and any non-compliant instances are remediated automatically.
Reference:
AWS Config Conformance Packs
AWS Config Managed Rules
AWS Systems Manager Automation Runbooks
NEW QUESTION # 229
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