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| Section | Weight | Objectives |
|---|
| Topic 1: SDLC Automation | 22% | - Automate software release processes
- 1. Automate rollback procedures
- 2. Implement deployment strategies
- 3. Manage artifacts and dependencies
- Automate testing and validation
- 1. Automate quality gates
- 2. Security and compliance testing
- 3. Unit, integration, and performance testing
- Implement CI/CD pipelines
- 1. Use AWS CodePipeline, CodeBuild, CodeDeploy
- 2. Automate build, test, and deployment stages
- 3. Integrate version control systems
|
| Topic 2: Monitoring and Logging | 15% | - Automate incident response
- 1. Implement alerting and notification workflows
- 2. Set up event-driven actions with Amazon EventBridge
- 3. Automate remediation and scaling
- Implement logging and analysis
- 1. Centralize logs with CloudWatch Logs
- 2. Analyze logs for troubleshooting and security
- 3. Use AWS X-Ray for tracing
- Implement monitoring solutions
- 1. Create dashboards and insights
- 2. Monitor infrastructure, applications, and costs
- 3. Use Amazon CloudWatch for metrics and alarms
|
| Topic 3: Security, Governance, and Compliance | 17% | - Implement security controls
- 1. Encrypt data at rest and in transit
- 2. Manage IAM for pipelines and environments
- 3. Secure secrets and credentials
- Enforce governance and compliance
- 1. Use AWS Config and AWS Organizations
- 2. Implement compliance rules and audits
- 3. Manage access and permissions at scale
- 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
|
| Topic 4: Incident and Event Response | 14% | - Manage incidents and outages
- 1. Document and learn from events
- 2. Troubleshoot complex issues
- 3. Coordinate response and recovery
- Improve operational processes
- 1. Update runbooks and playbooks
- 2. Optimize response time and efficiency
- 3. Implement feedback loops
- Automate event management
- 1. Classify and prioritize events
- 2. Integrate with ticketing and workflow systems
- 3. Automate common operational tasks
|
| Topic 5: Configuration Management and Infrastructure as Code | 17% | - Implement infrastructure as code
- 1. Use AWS CloudFormation, Terraform, or AWS CDK
- 2. Manage templates and stacks
- 3. Enforce configuration standards
- Manage infrastructure deployments
- 1. Provision and update resources automatically
- 2. Implement version control for configurations
- 3. Manage multi-account and multi-region environments
- Automate configuration management
- 1. Detect and remediate configuration drift
- 2. Use AWS Systems Manager, Ansible, or Puppet
- 3. Maintain consistent configurations
|
| Topic 6: Resilient Cloud Solutions | 15% | - Ensure reliability and scalability
- 1. Optimize performance and cost
- 2. Design for fault tolerance
- 3. Manage capacity and elasticity
- Implement disaster recovery
- 1. Pilot light, warm standby, and active-active
- 2. Test and validate recovery plans
- 3. Backup and restore strategies
- 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
|
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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q95-Q100):
NEW QUESTION # 95
A company has many AWS accounts. During AWS account creation the company uses automation to create an Amazon CloudWatch Logs log group in every AWS Region that the company operates in. The automaton configures new resources in the accounts to publish logs to the provisioned log groups in their Region.
The company has created a logging account to centralize the logging from all the other accounts. A DevOps engineer needs to aggregate the log groups from all the accounts to an existing Amazon S3 bucket in the logging account.
Which solution will meet these requirements in the MOST operationally efficient manner?
- A. In the logging account create a CloudWatch Logs destination with a destination policy for each Region. For each new account subscribe the CloudWatch Logs log groups to the destination Configure an Amazon Kinesis data stream and an Amazon Kinesis Data Firehose delivery stream for each Region to deliver the logs from the CloudWatch Logs destinations to the S3 bucket.
- B. In the logging account create a CloudWatch Logs destination with a destination policy for each Region. For each new account subscribe the CloudWatch Logs log groups to the destination. Configure a single Amazon Kinesis data stream and a single Amazon Kinesis Data Firehose delivery stream to deliver the logs from all the CloudWatch Logs destinations to the S3 bucket.
- C. In the logging account create a CloudWatch Logs destination with a destination policy. For each new account subscribe the CloudWatch Logs log groups to the destination. Configure a single Amazon Kinesis data stream to deliver the logs from the CloudWatch Logs destination to the S3 bucket.
- D. In the logging account create a CloudWatch Logs destination with a destination policy. For each new account subscribe the CloudWatch Logs log groups to the. Destination Configure a single Amazon Kinesis data stream and a single Amazon Kinesis Data Firehose delivery stream to deliver the logs from the CloudWatch Logs destination to the S3 bucket.
Answer: A
Explanation:
This solution will meet the requirements in the most operationally efficient manner because it will use CloudWatch Logs destination to aggregate the log groups from all the accounts to a single S3 bucket in the logging account. However, unlike option A, this solution will create a CloudWatch Logs destination for each region, instead of a single destination for all regions. This will improve the performance and reliability of the log delivery, as it will avoid cross-region data transfer and latency issues. Moreover, this solution will use an Amazon Kinesis data stream and an Amazon Kinesis Data Firehose delivery stream for each region, instead of a single stream for all regions. This will also improve the scalability and throughput of the log delivery, as it will avoid bottlenecks and throttling issues that may occur with a single stream.
NEW QUESTION # 96
A DevOps engineer manages a large commercial website that runs on Amazon EC2. The website uses Amazon Kinesis Data Streams to collect and process web togs. The DevOps engineer manages the Kinesis consumer application, which also runs on Amazon EC2.
Sudden increases of data cause the Kinesis consumer application to (all behind and the Kinesis data streams drop records before the records can be processed. The DevOps engineer must implement a solution to improve stream handling.
Which solution meets these requirements with the MOST operational efficiency?
- A. Convert the Kinesis consumer application to run as an AWS Lambda function. Configure the Kinesis data streams as the event source for the Lambda function to process the data streams
- B. Horizontally scale the Kinesis consumer application by adding more EC2 instances based on the Amazon CloudWatch GetRecords IteratorAgeMilliseconds metric Increase the retention period of the Kinesis data streams.
- C. Modify the Kinesis consumer application to store the logs durably in Amazon S3 Use Amazon EMR to process the data directly on Amazon S3 to derive customer insights Store the results in Amazon S3.
- D. Increase the number of shards in the Kinesis data streams to increase the overall throughput so that the consumer application processes the data faster.
Answer: B
NEW QUESTION # 97
A development team wants to use AWS CloudFormation stacks to deploy an application. However, the developer IAM role does not have the required permissions to provision the resources that are specified in the AWS CloudFormation template. A DevOps engineer needs to implement a solution that allows the developers to deploy the stacks. The solution must follow the principle of least privilege.
Which solution will meet these requirements?
- A. Create an AWS CloudFormation service role that has the required permissions. Grant the developer IAM role the iam:PassRole permission. Use the new service role during stack deployments.
- B. Create an AWS CloudFormation service role that has the required permissions. Grant the developer IAM role a cloudformation:* action. Use the new service role during stack deployments.
- C. Create an IAM policy that allows the developers to provision the required resources. Attach the policy to the developer IAM role.
- D. Create an IAM policy that allows full access to AWS CloudFormation. Attach the policy to the developer IAM role.
Answer: D
NEW QUESTION # 98
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?
- A. Use EC2 Auto Recovery to automatically stop and start the instance in case of a failure. Use an S3 event notification to push the metadata to the instance when the instance is back up and running.
- B. Use AWS CloudFormation to create an EC2 instance that includes the UserData property for the EC2 resource. Add a command in UserData to retrieve the application metadata from Amazon S3.
- C. Configure AWS OpsWorks, and use the auto healing feature to stop and start the instance. Use a lifecycle event in OpsWorks to pull the metadata from Amazon S3 and update it on the instance.
- D. Create an Amazon CloudWatch alarm for the StatusCheckFailed metric. Use the recover action to stop and start the instance. Use an S3 event notification to push the metadata to the instance when the instance is back up and running.
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 # 99
A company has a legacy application A DevOps engineer needs to automate the process of building the deployable artifact for the legacy application. The solution must store the deployable artifact in an existing Amazon S3 bucket for future deployments to reference Which solution will meet these requirements in the MOST operationally efficient way?
- A. Create a custom Docker image that contains all the dependencies tor the legacy application Store the custom Docker image in a new Amazon Elastic Container Registry (Amazon ECR) repository Configure a new AWS CodeBuild project to use the custom Docker image to build the deployable artifact and to save the artifact to the S3 bucket.
- B. Launch a new Amazon EC2 instance Install all the dependencies (or the legacy application on the EC2 instance Use the EC2 instance to build the deployable artifact and to save the artifact to the S3 bucket.
- C. Create a custom EC2 Image Builder image Install all the dependencies for the legacy application on the image Launch a new Amazon EC2 instance from the image Use the new EC2 instance to build the deployable artifact and to save the artifact to the S3 bucket.
- D. Create an Amazon Elastic Kubernetes Service (Amazon EKS) cluster with an AWS Fargate profile that runs in multiple Availability Zones Create a custom Docker image that contains all the dependencies for the legacy application Store the custom Docker image in a new Amazon Elastic Container Registry (Amazon ECR) repository Use the custom Docker image inside the EKS cluster to build the deployable artifact and to save the artifact to the S3 bucket.
Answer: A
Explanation:
Explanation
This approach is the most operationally efficient because it leverages the benefits of containerization, such as isolation and reproducibility, as well as AWS managed services. AWS CodeBuild is a fully managed build service that can compile your source code, run tests, and produce deployable software packages. By using a custom Docker image that includes all dependencies, you can ensure that the environment in which your code is built is consistent. Using Amazon ECR to store Docker images lets you easily deploy the images to any environment. Also, you can directly upload the build artifacts to Amazon S3 from AWS CodeBuild, which is beneficial for version control and archival purposes.
NEW QUESTION # 100
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