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| Section | Weight | Objectives |
|---|
| Configuration Management and Infrastructure as Code | 17% | - Manage infrastructure deployments
- 1. Implement version control for configurations
- 2. Manage multi-account and multi-region environments
- 3. Provision and update resources automatically
- Automate configuration management
- 1. Detect and remediate configuration drift
- 2. Maintain consistent configurations
- 3. Use AWS Systems Manager, Ansible, or Puppet
- Implement infrastructure as code
- 1. Use AWS CloudFormation, Terraform, or AWS CDK
- 2. Enforce configuration standards
- 3. Manage templates and stacks
|
| Resilient Cloud Solutions | 15% | - Design high availability architectures
- 1. Implement auto scaling and load balancing
- 2. Multi-AZ and multi-region deployments
- 3. Use Route 53 for routing and failover
- Implement disaster recovery
- 1. Test and validate recovery plans
- 2. Backup and restore strategies
- 3. Pilot light, warm standby, and active-active
- Ensure reliability and scalability
- 1. Manage capacity and elasticity
- 2. Design for fault tolerance
- 3. Optimize performance and cost
|
| Incident and Event Response | 14% | - Automate event management
- 1. Automate common operational tasks
- 2. Integrate with ticketing and workflow systems
- 3. Classify and prioritize events
- Manage incidents and outages
- 1. Document and learn from events
- 2. Coordinate response and recovery
- 3. Troubleshoot complex issues
- Improve operational processes
- 1. Optimize response time and efficiency
- 2. Implement feedback loops
- 3. Update runbooks and playbooks
|
| Security, Governance, and Compliance | 17% | - Automate security and compliance
- 1. Detect and remediate violations automatically
- 2. Integrate security into CI/CD pipelines
- 3. Use AWS Security Hub and AWS Shield
- Enforce governance and compliance
- 1. Manage access and permissions at scale
- 2. Use AWS Config and AWS Organizations
- 3. Implement compliance rules and audits
- Implement security controls
- 1. Encrypt data at rest and in transit
- 2. Manage IAM for pipelines and environments
- 3. Secure secrets and credentials
|
| SDLC Automation | 22% | - Implement CI/CD pipelines
- 1. Automate build, test, and deployment stages
- 2. Integrate version control systems
- 3. Use AWS CodePipeline, CodeBuild, CodeDeploy
- Automate software release processes
- 1. Automate rollback procedures
- 2. Implement deployment strategies
- 3. Manage artifacts and dependencies
- Automate testing and validation
- 1. Security and compliance testing
- 2. Unit, integration, and performance testing
- 3. Automate quality gates
|
| Monitoring and Logging | 15% | - Implement logging and analysis
- 1. Analyze logs for troubleshooting and security
- 2. Centralize logs with CloudWatch Logs
- 3. Use AWS X-Ray for tracing
- Automate incident response
- 1. Automate remediation and scaling
- 2. Set up event-driven actions with Amazon EventBridge
- 3. Implement alerting and notification workflows
- Implement monitoring solutions
- 1. Create dashboards and insights
- 2. Monitor infrastructure, applications, and costs
- 3. Use Amazon CloudWatch for metrics and alarms
|
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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q395-Q400):
NEW QUESTION # 395
A company uses AWS CloudFormation to deploy application environments. A deployment failed due to manual modifications in stack resources. The DevOps engineer wants to detect manual modifications and alert the DevOps lead with the least effort.
Which solution meets these requirements?
- A. Create an SNS topic, subscribe the DevOps lead, create a Config managed rule CLOUDFORMATION_STACK_DRIFT_DETECTION_CHECK. Create an EventBridge rule on COMPLIANT resources, set SNS as target.
- B. Create an SNS topic and subscribe the DevOps lead via email. Create an AWS Config managed rule with CLOUDFORMATION_STACK_DRIFT_DETECTION_CHECK. Create an EventBridge rule on NON_COMPLIANT resources and set SNS as target.
- C. Tag all CloudFormation resources, create a custom AWS Config rule via SDK that flags manual changes as NON_COMPLIANT, create an EventBridge rule and Lambda to send email notifications.
- D. Create an AWS Config managed rule CLOUDFORMATION_STACK_DRIFT_DETECTION_CHECK. Create an EventBridge rule on NON_COMPLIANT resources, and a Lambda to send email notifications.
Answer: B
Explanation:
AWS Config offers a managed rule called CLOUDFORMATION_STACK_DRIFT_DETECTION_CHECK to detect stack drift automatically.
Creating an SNS topic and subscribing the DevOps lead enables simple notification without custom Lambda functions.
An EventBridge rule that triggers on NON_COMPLIANT status (when drift is detected) can send alerts directly to SNS.
Option B adds complexity by requiring custom rules and Lambda. Option C incorrectly triggers on COMPLIANT, not NON_COMPLIANT. Option D needs a Lambda for email, while SNS can send email directly.
Hence, Option A offers the least operational effort.
References:
AWS Config Drift Detection
AWS Config Managed Rules
NEW QUESTION # 396
An ecommerce company has chosen AWS to host its new platform. The company's DevOps team has started building an AWS Control Tower landing zone. The DevOps team has set the identity store within AWS IAM Identity Center (AWS Single Sign-On) to external identity provider (IdP) and has configured SAML 2.0.
The DevOps team wants a robust permission model that applies the principle of least privilege. The model must allow the team to build and manage only the team's own resources.
Which combination of steps will meet these requirements? (Choose three.)
- A. Create a group in the IdP. Place users in the group. Assign the group to accounts and the permission sets in IAM Identity Center.
- B. Enable attributes for access control in IAM Identity Center. Apply tags to users. Map the tags as key-value pairs.
- C. Create IAM policies that include the required permissions. Include the aws:PrincipalTag condition key.
- D. Create permission sets. Attach an inline policy that includes the required permissions and uses the aws:PrincipalTag condition key to scope the permissions.
- E. Enable attributes for access control in IAM Identity Center. Map attributes from the IdP as key-value pairs.
- F. Create a group in the IdP. Place users in the group. Assign the group to OUs and IAM policies.
Answer: A,D,E
Explanation:
Using the principalTag in the Permission Set inline policy a logged in user belonging to a specific AD group in the IDP can be permitted access to perform operations on certain resources if their group matches the group used in the PrincipleTag. Basically you are narrowing the scope of privileges assigned via Permission policies conditionally based on whether the logged in user belongs to a specific AD Group in IDP. The mapping of the AD group to the request attributes can be done using SSO attributes where we can pass other attributes like the SAML token as well.
https://docs.aws.amazon.com/singlesignon/latest/userguide/abac.html
NEW QUESTION # 397
A company needs to ensure that flow logs remain configured for all existing and new VPCs in its AWS account. The company uses an AWS CloudFormation stack to manage its VPCs. The company needs a solution that will work for any VPCs that any IAM user creates.
Which solution will meet these requirements?
- A. Create an organization in AWS Organizations. Add the company's AWS account to the organization.
Create an SCP to prevent users from modifying VPC flow logs. - B. Add the resource to the CloudFormation stack that creates the VPCs.
- C. Create an IAM policy to deny the use of API calls for VPC flow logs. Attach the IAM policy to all IAM users.
- D. Turn on AWS Config. Create an AWS Config rule to check whether VPC flow logs are turned on.
Configure automatic remediation to turn on VPC flow logs.
Answer: D
Explanation:
To meet the requirements of ensuring that flow logs remain configured for all existing and new VPCs in the AWS account, the company should use AWS Config and automatic remediation. AWS Config is a service that enables customers to assess, audit, and evaluate the configurations of their AWS resources. AWS Config continuously monitors and records the configuration changes of the AWS resources and evaluates them against desired configurations. Customers can use AWS Config rules to define the desired configuration state of their AWS resources and trigger actions when a resource configuration violates a rule.
One of the AWS Config rules that customers can use is vpc-flow-logs-enabled, which checks whether VPC flow logs are enabled for all VPCs in an AWS account. Customers can also configure automatic remediation for this rule, which means that AWS Config will automatically enable VPC flow logs for any VPCs that do not have them enabled. Customers can specify the destination (CloudWatch Logs or S3) and the traffic type (all, accept, or reject) for the flow logs as remediation parameters. By using AWS Config and automatic remediation, the company can ensure that flow logs remain configured for all existing and new VPCs in its AWS account, regardless of who creates them or how they are created.
The other options are not correct because they do not meet the requirements or follow best practices. Adding the resource to the CloudFormation stack that creates the VPCs is not a sufficient solution because it will only work for VPCs that are created by using the CloudFormation stack. It will not work for VPCs that are created by using other methods, such as the console or the API. Creating an organization in AWS Organizations and creating an SCP to prevent users from modifying VPC flow logs is not a good solution because it will not ensure that flow logs are enabled for all VPCs in the first place. It will only prevent users from disabling or changing flow logs after they are enabled. Creating an IAM policy to deny the use of API calls for VPC flow logs and attaching it to all IAM users is not a valid solution because it will prevent users from enabling or disabling flow logs at all. It will also not work for VPCs that are created by using other methods, such as the console or CloudFormation.
References:
* 1: AWS::EC2::FlowLog - AWS CloudFormation
* 2: Amazon VPC Flow Logs extends CloudFormation Support to custom format subscriptions, 1-minute aggregation intervals and tagging
* 3: Logging IP traffic using VPC Flow Logs - Amazon Virtual Private Cloud
* : About AWS Config - AWS Config
* : vpc-flow-logs-enabled - AWS Config
* : Remediate Noncompliant Resources with AWS Config Rules - AWS Config
NEW QUESTION # 398
A business has an application that consists of five independent AWS Lambda functions.
The DevOps engineer has built a CI/CD pipeline using AWS CodePipeline and AWS CodeBuild that builds tests packages and deploys each Lambda function in sequence. The pipeline uses an Amazon EventBridge rule to ensure the pipeline starts as quickly as possible after a change is made to the application source code.
After working with the pipeline for a few months the DevOps engineer has noticed the pipeline takes too long to complete.
What should the DevOps engineer implement to BEST improve the speed of the pipeline?
- A. Modify the CodePipeline configuration to run actions for each Lambda function in parallel by specifying the same runorder.
- B. Modify each CodeBuild protect to run within a VPC and use dedicated instances to increase throughput.
- C. Modify the CodeBuild projects within the pipeline to use a compute type with more available network throughput.
- D. Create a custom CodeBuild execution environment that includes a symmetric multiprocessing configuration to run the builds in parallel.
Answer: A
Explanation:
https://docs.aws.amazon.com/codepipeline/latest/userguide/reference-pipeline-structure.html AWS doc: "To specify parallel actions, use the same integer for each action you want to run in parallel. For example, if you want three actions to run in sequence in a stage, you would give the first action the runOrder value of 1, the second action the runOrder value of 2, and the third the runOrder value of 3. However, if you want the second and third actions to run in parallel, you would give the first action the runOrder value of 1 and both the second and third actions the runOrder value of 2."
NEW QUESTION # 399
A company runs an application in an Auto Scaling group of Amazon EC2 instances behind an Application Load Balancer (ALB). The EC2 instances run Docker containers that make requests to a MySQL database that runs on separate EC2 instances. A DevOps engineer needs to update the application to use a serverless architecture. Which solution will meet this requirement with the FEWEST changes?
- A. Replace the containers that run on EC2 instances with AWS Fargate. Replace the MySQL database with Amazon DynamoDB tables.
- B. Replace the containers that run on EC2 instances with AWS Fargate. Replace the MySQL database with an Amazon Aurora Serverless v2 database that is compatible with MySQL.
- C. Replace the containers that run on EC2 instances and the ALB with AWS Lambda functions. Replace the MySQL database with Amazon DynamoDB tables.
- D. Replace the containers that run on EC2 instances and the ALB with AWS Lambda functions. Replace the MySQL database with an Amazon Aurora Serverless v2 database that is compatible with MySQL.
Answer: B
NEW QUESTION # 400
......
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