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| Section | Weight | Objectives |
|---|---|---|
| Monitoring and Logging | 15% | - Observability and metrics
|
| Incident and Event Management | 18% | - Operational response and recovery
|
| Security and Compliance Automation | 13% | - Security automation in CI/CD and infrastructure
|
| Resilient Cloud Solutions | 15% | - High availability and fault tolerance design
|
| Configuration Management and Infrastructure as Code | 17% | - Infrastructure provisioning and automation
|
| SDLC Automation | 22% | - CI/CD pipeline design and implementation
|
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NEW QUESTION # 131
A company uses Amazon S3 to store proprietary information. The development team creates buckets for new projects on a daily basis. The security team wants to ensure that all existing and future buckets have encryption logging and versioning enabled. Additionally, no buckets should ever be publicly read or write accessible.
What should a DevOps engineer do to meet these requirements?
Answer: D
Explanation:
Explanation
https://aws.amazon.com/blogs/mt/aws-config-auto-remediation-s3-compliance/
https://aws.amazon.com/blogs/aws/aws-config-rules-dynamic-compliance-checking-for-cloud-resources/
NEW QUESTION # 132
A company has multiple AWS accounts. The company uses AWS IAM Identity Center (AWS Single Sign- On) that is integrated with AWS Toolkit for Microsoft Azure DevOps. The attributes for access control feature is enabled in IAM Identity Center.
The attribute mapping list contains two entries. The department key is mapped to ${path:enterprise.
department}. The costCenter key is mapped to ${path:enterprise.costCenter}.
All existing Amazon EC2 instances have a department tag that corresponds to three company departments (d1, d2, d3). A DevOps engineer must create policies based on the matching attributes. The policies must minimize administrative effort and must grant each Azure AD user access to only the EC2 instances that are tagged with the user's respective department name.
Which condition key should the DevOps engineer include in the custom permissions policies to meet these requirements?
Answer: A
Explanation:
https://docs.aws.amazon.com/singlesignon/latest/userguide/configure-abac.html
NEW QUESTION # 133
A developer is using the AWS Serverless Application Model (AWS SAM) to create a prototype for an AWS Lambda function. The AWS SAM template contains an AWS::Serverless::Function resource that has the CodeUri property pointing to an Amazon S3 location. The developer wants to identify the correct commands for deployment before creating a CI/CD pipeline.
The developer creates an archive of the Lambda function code named package.zip, uploads the .zip file archive to the S3 location specified in the CodeUri property, and runs the sam deploy command to deploy the Lambda function. The developer updates the Lambda function code and uses the same steps to deploy the new version. The sam deploy command fails and returns an error of " no changes to deploy. " Which solutions will deploy the new version? (Select TWO.)
Answer: B,D
Explanation:
When the CodeUri property points directly to a static S3 object path, AWS CloudFormation detects no template changes between deployments because the S3 URI remains identical even after you upload updated code to the same key. The solution is to reference local source code so that SAM or CloudFormation can compute a content hash, upload the artifact with a unique S3 key, and update the template, creating a detectable change. Option C works because sam deploy with a local CodeUri path automatically packages the function, uploads it to S3 with a hash-derived key, and deploys the updated stack. Option E works for the same reason: aws cloudformation package computes the hash, uploads the artifact, and produces a packaged template that aws cloudformation deploy can then apply. Options A and B do not resolve the root cause and are not designed for SAM Lambda packaging.
NEW QUESTION # 134
A company is adopting AWS CodeDeploy to automate its application deployments for a Java-Apache Tomcat application with an Apache Webserver. The development team started with a proof of concept, created a deployment group for a developer environment, and performed functional tests within the application. After completion, the team will create additional deployment groups for staging and production.
The current log level is configured within the Apache settings, but the team wants to change this configuration dynamically when the deployment occurs, so that they can set different log level configurations depending on the deployment group without having a different application revision for each group.
How can these requirements be met with the LEAST management overhead and without requiring different script versions for each deployment group?
Answer: A
Explanation:
The following are the steps that the company can take to change the log level dynamically when the deployment occurs:
Create a script that uses the CodeDeploy environment variable DEPLOYMENT_GROUP_NAME to identify which deployment group the instance is part of.
Use this information to configure the log level settings.
Reference this script as part of the BeforeInstall lifecycle hook in the appspec.yml file.
The DEPLOYMENT_GROUP_NAME environment variable is automatically set by CodeDeploy when the deployment is triggered. This means that the script does not need to call the metadata service or the EC2 API to identify the deployment group.
This solution is the least complex and requires the least management overhead. It also does not require different script versions for each deployment group.
The following are the reasons why the other options are not correct:
Option A is incorrect because it would require tagging the Amazon EC2 instances, which would be a manual and time-consuming process.
Option C is incorrect because it would require creating a custom environment variable for each environment.
This would be a complex and error-prone process.
Option D is incorrect because it would use the DEPLOYMENT_GROUP_ID environment variable. However, this variable is not automatically set by CodeDeploy, so the script would need to call the metadata service or the EC2 API to get the deployment group ID. This would add complexity and overhead to the solution.
NEW QUESTION # 135
A company runs an application on one Amazon EC2 instance. Application metadata is stored in Amazon S3 and must be retrieved if the instance is restarted. The instance must restart or relaunch automatically if the instance becomes unresponsive.
Which solution will meet these requirements?
Answer: C
Explanation:
https://aws.amazon.com/blogs/mt/how-to-set-up-aws-opsworks-stacks-auto-healing-notifications-in-amazon-cloudwatch-events/
NEW QUESTION # 136
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