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| Section | Weight | Objectives |
|---|
| Monitoring and Logging | 15% | - Implement logging and analysis
- 1. Use AWS X-Ray for tracing
- 2. Analyze logs for troubleshooting and security
- 3. Centralize logs with CloudWatch Logs
- Implement monitoring solutions
- 1. Create dashboards and insights
- 2. Use Amazon CloudWatch for metrics and alarms
- 3. Monitor infrastructure, applications, and costs
- Automate incident response
- 1. Set up event-driven actions with Amazon EventBridge
- 2. Automate remediation and scaling
- 3. Implement alerting and notification workflows
|
| Resilient Cloud Solutions | 15% | - Design high availability architectures
- 1. Multi-AZ and multi-region deployments
- 2. Use Route 53 for routing and failover
- 3. Implement auto scaling and load balancing
- Ensure reliability and scalability
- 1. Optimize performance and cost
- 2. Manage capacity and elasticity
- 3. Design for fault tolerance
- Implement disaster recovery
- 1. Pilot light, warm standby, and active-active
- 2. Test and validate recovery plans
- 3. Backup and restore strategies
|
| SDLC Automation | 22% | - Automate software release processes
- 1. Manage artifacts and dependencies
- 2. Implement deployment strategies
- 3. Automate rollback procedures
- Implement CI/CD pipelines
- 1. Automate build, test, and deployment stages
- 2. Use AWS CodePipeline, CodeBuild, CodeDeploy
- 3. Integrate version control systems
- Automate testing and validation
- 1. Unit, integration, and performance testing
- 2. Security and compliance testing
- 3. Automate quality gates
|
| Security, Governance, and Compliance | 17% | - Enforce governance and compliance
- 1. Use AWS Config and AWS Organizations
- 2. Manage access and permissions at scale
- 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
- Automate security and compliance
- 1. Integrate security into CI/CD pipelines
- 2. Detect and remediate violations automatically
- 3. Use AWS Security Hub and AWS Shield
|
| Incident and Event Response | 14% | - Automate event management
- 1. Integrate with ticketing and workflow systems
- 2. Classify and prioritize events
- 3. Automate common operational tasks
- Manage incidents and outages
- 1. Document and learn from events
- 2. Coordinate response and recovery
- 3. Troubleshoot complex issues
- Improve operational processes
- 1. Update runbooks and playbooks
- 2. Optimize response time and efficiency
- 3. Implement feedback loops
|
| Configuration Management and Infrastructure as Code | 17% | - Manage infrastructure deployments
- 1. Manage multi-account and multi-region environments
- 2. Implement version control for configurations
- 3. Provision and update resources automatically
- Automate configuration management
- 1. Maintain consistent configurations
- 2. Detect and remediate configuration drift
- 3. Use AWS Systems Manager, Ansible, or Puppet
- Implement infrastructure as code
- 1. Manage templates and stacks
- 2. Use AWS CloudFormation, Terraform, or AWS CDK
- 3. Enforce configuration standards
|
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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q188-Q193):
NEW QUESTION # 188
A company runs applications on Windows and Linux Amazon EC2 instances The instances run across multiple Availability Zones In an AWS Region. The company uses Auto Scaling groups for each application.
The company needs a durable storage solution for the instances. The solution must use SMB for Windows and must use NFS for Linux. The solution must also have sub-millisecond latencies. All instances will read and write the data.
Which combination of steps will meet these requirements? (Select THREE.)
- A. Create an Amazon FSx for NetApp ONTAP Multi-AZ file system.
- B. Update the EC2 instances for each application to mount the file system when new instances are launched
- C. Create an Amazon Elastic File System (Amazon EFS) file system that has targets in multiple Availability Zones
- D. Create a General Purpose SSD (gp3) Amazon Elastic Block Store (Amazon EBS) volume to use for shared storage.
- E. Perform an instance refresh on each Auto Scaling group.
- F. Update the user data for each application's launch template to mount the file system
Answer: A,C,F
Explanation:
* Create an Amazon Elastic File System (Amazon EFS) File System with Targets in Multiple Availability Zones:
Amazon EFS provides a scalable and highly available network file system that supports the NFS protocol. EFS is ideal for Linux instances as it allows multiple instances to read and write data concurrently.
Setting up EFS with targets in multiple Availability Zones ensures high availability and durability.
Reference:
* Create an Amazon FSx for NetApp ONTAP Multi-AZ File System:
Amazon FSx for NetApp ONTAP offers a fully managed file storage solution that supports both SMB for Windows and NFS for Linux.
The Multi-AZ deployment ensures high availability and durability, providing sub-millisecond latencies suitable for the application's performance requirements.
* Update the User Data for Each Application's Launch Template to Mount the File System:
Updating the user data in the launch template ensures that every new instance launched by the Auto Scaling group will automatically mount the appropriate file system.
This step is necessary to ensure that all instances can access the shared storage without manual intervention.
Example user data for mounting EFS (Linux)
#!/bin/bash
sudo yum install -y amazon-efs-utils
sudo mount -t efs fs-12345678:/ /mnt/efs
Example user data for mounting FSx (Windows):
By implementing these steps, the company can provide a durable storage solution with sub-millisecond latencies that supports both SMB and NFS protocols, meeting the requirements for both Windows and Linux instances.
Mounting EFS File Systems
Mounting Amazon FSx File Systems
NEW QUESTION # 189
A company has multiple development teams in different business units that work in a shared single AWS account All Amazon EC2 resources that are created in the account must include tags that specify who created the resources. The tagging must occur within the first hour of resource creation.
A DevOps engineer needs to add tags to the created resources that Include the user ID that created the resource and the cost center ID The DevOps engineer configures an AWS Lambda function With the cost center mappings to tag the resources. The DevOps engineer also sets up AWS CloudTrail in the AWS account. An Amazon S3 bucket stores the CloudTrail event logs Which solution will meet the tagging requirements?
- A. Enable server access logging on the S3 bucket. Create an S3 event notification on the S3 bucket for s3. ObjectTaggIng.* events
- B. Create an S3 event notification on the S3 bucket to invoke the Lambda function for s3.ObJectTagging:Put events. Enable bucket versioning on the S3 bucket.
- C. Create a recurring hourly Amazon EventBridge scheduled rule that invokes the Larnbda function. Modify the Lambda function to read the logs from the S3 bucket
- D. Create an Amazon EventBridge rule that uses Amazon EC2 as the event source. Configure the rule to match events delivered by CloudTraiI. Configure the rule to target the Lambda function
Answer: D
Explanation:
Option A is incorrect because S3 event notifications do not support s3.ObjectTagging:Put events. S3 event notifications only support events related to object creation, deletion, replication, and restore. Moreover, enabling bucket versioning on the S3 bucket is not relevant to the tagging requirements, as it only keeps multiple versions of objects in the bucket.
Option B is incorrect because enabling server access logging on the S3 bucket does not help with tagging the resources. Server access logging only records requests for access to the bucket or its objects. It does not capture the user ID or the cost center ID of the resources. Furthermore, creating an S3 event notification on the S3 bucket for s3.ObjectTagging:Put events is not possible, as explained in option A.
Option C is incorrect because creating a recurring hourly Amazon EventBridge scheduled rule that invokes the Lambda function is not efficient or timely. The Lambda function would have to read the logs from the S3 bucket every hour and tag the resources accordingly, which could incur unnecessary costs and delays. A better solution would be to trigger the Lambda function as soon as a resource is created, rather than waiting for an hourly schedule.
Option D is correct because creating an Amazon EventBridge rule that uses Amazon EC2 as the event source and matches events delivered by CloudTrail is a valid way to tag the resources. CloudTrail records all API calls made to AWS services, including EC2, and delivers them as events to EventBridge. The EventBridge rule can filter the events based on the user ID and the resource type, and then target the Lambda function to tag the resources with the cost center ID. This solution meets the tagging requirements in a timely and efficient manner.
References:
S3 event notifications
Server access logging
Amazon EventBridge rules
AWS CloudTrail
NEW QUESTION # 190
A development team uses AWS CodeCommit, AWS CodePipeline, and AWS CodeBuild to develop and deploy an application. Changes to the code are submitted by pull requests. The development team reviews and merges the pull requests, and then the pipeline builds and tests the application.
Over time, the number of pull requests has increased. The pipeline is frequently blocked because of failing tests. To prevent this blockage, the development team wants to run the unit and integration tests on each pull request before it is merged.
Which solution will meet these requirements?
- A. Create an Amazon EventBridge rule to match pullRequestCreated events from CodeCommit Create a CodeBuild project to run the unit and integration tests. Configure the CodeBuild project as a target of the EventBridge rule that includes a custom event payload with the CodeCommit repository and branch information from the event.
- B. Create a CodeBuild project to run the unit and integration tests. Create a CodeCommit approval rule template. Configure the template to require the successful invocation of the CodeBuild project. Attach the approval rule to the project's CodeCommit repository.
- C. Create a CodeBuild project to run the unit and integration tests. Create a CodeCommit notification rule that matches when a pull request is created or updated. Configure the notification rule to invoke the CodeBuild project.
- D. Create an Amazon EventBridge rule to match pullRequestCreated events from CodeCommit. Modify the existing CodePipeline pipeline to not run the deploy steps if the build is started from a pull request.
Configure the EventBridge rule to run the pipeline with a custom payload that contains the CodeCommit repository and branch information from the event.
Answer: A
Explanation:
CodeCommit generates events in CloudWatch, CloudWatch triggers the CodeBuild https://aws.amazon.com
/es/blogs/devops/complete-ci-cd-with-aws-codecommit-aws-codebuild-aws-codedeploy-and-aws- codepipeline/
NEW QUESTION # 191
A DevOps engineer needs to implement a solution to install antivirus software on all the Amazon EC2 instances in an AWS account. The EC2 instances run the most recent version of Amazon Linux.
The solution must detect all instances and must use an AWS Systems Manager document to install the software if the software is not present.
Which solution will meet these requirements?
- A. Set up AWS Config to record all the resources in the account. Create an AWS Config custom rule to determine if the software is installed on all the EC2 instances. Configure an automatic remediation action that uses the Systems Manager document for noncompliant EC2 instances.
- B. Create an Amazon EventBridge rule that uses AWS CloudTrail to detect the RunInstances API call. Configure inventory collection in Systems Manager Inventory to determine if the software is installed on the EC2 instances. Associate the Systems Manager Inventory with the Systems Manager document.
- C. Activate Amazon EC2 scanning on Amazon Inspector to determine if the software is installed on all the EC2 instances. Associate the findings with the Systems Manager document.
- D. Create an association in Systems Manager State Manager. Target all the managed nodes. Include the software in the association. Configure the association to use the Systems Manager document.
Answer: D
Explanation:
Option A best matches the requirement in the simplest, most direct way:
Systems Manager State Manager is designed to apply and maintain a desired state on managed instances by running associations on a schedule or continuously across targets (for example, "all managed nodes").
By using a Systems Manager document in the association that installs the antivirus package (and can be written to be idempotent: "install only if not present"), State Manager both detects drift (software missing) and remediates it automatically by reapplying the desired configuration.
This approach automatically covers all instances that are managed by Systems Manager (which is typically the standard requirement for fleet management on Amazon Linux).
Why the others are more overhead or not as direct:
B can work, but it requires building and operating a custom Config rule plus remediation wiring. That's more components and maintenance than State Manager for a straightforward "ensure software is installed" task.
C Amazon Inspector is a vulnerability management service; it's not the primary tool for "ensure a specific software package is installed everywhere" and "remediate via SSM doc" as a desired-state control.
NEW QUESTION # 192
A company has an application that stores data that includes personally Identifiable Information (Pll) In an Amazon S3 bucket All data Is encrypted with AWS Key Management Service (AWS KMS) customer managed keys. All AWS resources are deployed from an AWS Cloud Formation template.
A DevOps engineer needs to set up a development environment for the application in a different AWS account The data in the development environment's S3 bucket needs to be updated once a week from the production environment's S3 bucket.
The company must not move Pll from the production environment without anonymizmg the Pll first The data in each environment must be encrypted with different KMS customer managed keys.
Which combination of steps should the DevOps engineer take to meet these requirements? (Select TWO )
- A. Activate Amazon Macie on the S3 bucket In the production account Create an AWS Step Functions state machine to initiate a discovery job and redact all Pll before copying files to the S3 bucket in the development account. Give the state machine tasks decrypt permissions on the KMS key in the production account. Give the state machine tasks encrypt permissions on the KMS key in the development account
- B. Set up S3 replication between the production S3 bucket and the development S3 bucket Activate Amazon Macie on the development S3 bucket Create an AWS Step Functions state machine to initiate a discovery job and redact all Pll as the files are copied to the development S3 bucket. Give the state machine tasks encrypt and decrypt permissions on the KMS key in the development account.
- C. Create a development environment from the CloudFormatlon template in the development account. Schedule an Amazon EventBridge rule to start the AWS Step Functions state machine once a week
- D. Set up an S3 Batch Operations job to copy files from the production S3 bucket to the development S3 bucket. In the development account, configure an AWS Lambda function to redact all Pll. Configure S3 Object Lambda to use the Lambda function for S3 GET requests Give the Lambda function's 1AM role encrypt and decrypt permissions on the KMS key in the development account.
- E. Create a development environment from the CloudFormation template in the development account. Schedule a cron job on an Amazon EC2 instance to run once a week to start the S3 Batch Operations job.
Answer: A,C
Explanation:
Activate Amazon Macie on the Production S3 Bucket:
Macie can identify and protect sensitive data such as PII.
Create a Step Functions state machine to automate data discovery and redaction before copying it to the development environment.
Example Step Functions state machine:
{
"Comment": "Anonymize PII and copy data",
"StartAt": "MacieDiscoveryJob",
"States": {
"MacieDiscoveryJob": {
"Type": "Task",
"Resource": "arn:aws:states:::macie:startClassificationJob",
"End": true
}
}
}
Create a Development Environment from CloudFormation Template:
Deploy the development environment in a new account using the existing CloudFormation template.
Schedule an EventBridge rule to start the Step Functions state machine on a weekly basis.
EventBridge rule example:
{
"ScheduleExpression": "rate(7 days)",
"StateMachineArn": "arn:aws:states:<region>:<account-id>:stateMachine:AnonymizeAndCopyData"
}
By using Macie for data anonymization and Step Functions for automation, you ensure PII is properly handled before data transfer between environments.
Reference:
Amazon Macie
AWS Step Functions
AWS CloudFormation Templates
NEW QUESTION # 193
......
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