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| Section | Weight | Objectives |
|---|
| Topic 1: Resilient Cloud Solutions | 15% | - High availability and fault tolerance design
- 1. Disaster recovery strategies
- 2. Multi-AZ and multi-region architectures
|
| Topic 2: Configuration Management and Infrastructure as Code | 17% | - Infrastructure provisioning and automation
- 1. Configuration tools and automation strategies
- 2. AWS CloudFormation and CDK usage
|
| Topic 3: Monitoring and Logging | 15% | - Observability and metrics
- 1. CloudWatch monitoring and alarms
- 2. Log aggregation and analysis
|
| Topic 4: SDLC Automation | 22% | - CI/CD pipeline design and implementation
- 1. Build and deployment automation
- 2. Pipeline optimization and scaling
|
| Topic 5: Security and Compliance Automation | 13% | - Security automation in CI/CD and infrastructure
- 1. Compliance monitoring and auditing
- 2. IAM policy automation and governance
|
| Topic 6: Incident and Event Management | 18% | - Operational response and recovery
- 1. Automated event-driven responses
- 2. Incident detection and remediation
|
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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q59-Q64):
NEW QUESTION # 59
A company deployed an Amazon CloudFront distribution that accepts requests and routes to an Amazon API Gateway HTTP API. During a recent security audit, the company discovered that requests from the internet could reach the HTTP API without using the CloudFront distribution.
A DevOps engineer must ensure that connections to the HTTP API use the CloudFront distribution.
Which solution will meet these requirements?
- A. Implement an identity-based policy on the CloudFront distribution that requires authentication to make requests to the HTTP API.
- B. Enable VPC Flow Logs to identify requests that reach the HTTP API.
- C. Deploy AWS WAF in front of the CloudFront distribution.
- D. Implement a custom header in the CloudFront distribution. Implement an AWS Lambda authorizer associated with the HTTP API that verifies the custom header.
Answer: D
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of DevOps Engineer Documents Only:
To restrict direct access to API Gateway, add a custom header in the CloudFront distribution origin request and use a Lambda authorizer in API Gateway to validate that header. Only requests routed through CloudFront will include this header. This is the AWS-recommended pattern in "Secure your APIs behind CloudFront using custom headers and Lambda authorizers."
NEW QUESTION # 60
A company ' s web application uses an Application Load Balancer (ALB) to direct traffic to Amazon EC2 instances across three Availability Zones.
The company has deployed a newer version of the application to one Availability Zone for testing. If a problem is detected with the application, the company wants to direct traffic away from the affected Availability Zone until the deployment has been rolled back. The application must remain available and maintain static stability during the rollback.
Which solution will meet these requirements with the MOST operational efficiency?
- A. Disable cross-zone load balancing on the ALB's target group. Manually remove instances in the target group that belong to the affected Availability Zone.
- B. Configure cross-zone load balancing on the ALB's target group to inherit settings from the ALB.
Initiate a zonal shift on the ALB to direct traffic away from the affected Availability Zone. - C. Configure cross-zone load balancing on the ALB's target group to inherit settings from the ALB.
Remove the subnet that is associated with the affected Availability Zone. - D. Disable cross-zone load balancing on the ALB's target group. Initiate a zonal shift on the ALB to direct traffic away from the affected Availability Zone.
Answer: D
Explanation:
A zonal shift in Amazon Application Recovery Controller is the correct mechanism for quickly moving traffic away from an impaired Availability Zone while keeping the application active in healthy zones. AWS states that zonal shift causes the load balancer to stop sending new traffic to the affected Availability Zone. For ALB targets, the shifted-away targets receive an AdministrativeOverride state, and the ALB stops routing new traffic to them while existing connections close normally. Disabling cross-zone load balancing at the target group level supports the static-stability goal because traffic and capacity remain zonally scoped. Option B is manual and slower. Option C leaves cross-zone inheritance in place, which weakens zonal isolation. Option D changes subnet configuration and is operationally riskier than ARC zonal shift.
NEW QUESTION # 61
A company has a file-reading application that saves files to a database running on Amazon EC2 instances. Regulations require daily file deletions from EC2 instances and deletion of database records older than 60 days. Database record deletion must occur after file deletion. The company needs email notifications for any deletion script failures.
Which solution will meet these requirements with the LEAST development effort?
- A. Use AWS Systems Manager State Manager to automatically invoke an Automation document at the specified time daily. Configure the Automation document to run deletion scripts sequentially. Add a conditional check for errors as the last step and send failure notifications via Amazon SES.
- B. Use AWS Systems Manager State Manager to automatically invoke an Automation document at the specified time daily. Configure the Automation document to run deletion scripts sequentially via run command. Create an EventBridge rule to send failure notifications to Amazon SNS.
- C. Create an EventBridge rule to invoke a Lambda function at the specified time. Configure the Lambda function to run deletion scripts sequentially and send failure notifications via SES.
- D. Create an EventBridge rule to invoke a Lambda function at the specified time. Configure the Lambda function to run deletion scripts sequentially and send failure notifications via SNS.
Answer: B
Explanation:
Systems Manager State Manager with Automation documents allows running scripts sequentially and reliably with built-in retry and status tracking.
Using EventBridge with SNS for notifications leverages managed services with minimal custom development.
Using SES (Options B, D) requires more setup and custom logic for email formatting and sending.
Lambda (Options C, D) can run scripts but might have limitations on execution time and complexity compared to Systems Manager Automation.
References:
AWS Systems Manager Automation
Monitoring Automation Execution and Notifications
NEW QUESTION # 62
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?
- A. Create a CodeDeploy custom environment variable for each environment. Then place a script into the application revision that checks this environment variable 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 ValidateService lifecycle hook in the appspec.yml file.
- B. 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.
- C. Create a script that uses the CodeDeploy environment variable DEPLOYMENT_GROUP_ID to identify which deployment group the instance is part of to configure the log level settings. Reference this script as part of the Install lifecycle hook in the appspec.yml file.
- D. Tag the Amazon EC2 instances depending on the deployment group. Then place a script into the application revision that calls the metadata service and the EC2 API to identify which deployment group the instance is part of. Use this information to configure the log level settings. Reference the script as part of the AfterInstall lifecycle hook in the appspec.yml file.
Answer: B
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 # 63
An ecommerce company hosts a web application on Amazon EC2 instances that are in an Auto Scaling group.
The company deploys the application across multiple Availability Zones.
Application users are reporting intermittent performance issues with the application.
The company enables basic Amazon CloudWatch monitoring for the EC2 instances. The company identifies and implements a fix for the performance issues. After resolving the issues, the company wants to implement a monitoring solution that will quickly alert the company about future performance issues.
Which solution will meet this requirement?
- A. Use AWS X-Ray to implement distributed tracing. Integrate X-Ray with Amazon CloudWatch RUM.
Use Amazon EventBridge to trigger automatic scaling actions based on custom events. - B. Enable detailed monitoring for the EC2 instances. Create custom CloudWatch metrics for application- specific performance indicators. Set up CloudWatch alarms based on the custom metrics. Use CloudWatch Logs Insights to analyze application logs for error patterns.
- C. Use Amazon CloudFront to deliver the application. Use AWS CloudTrail to monitor API calls. Use AWS Trusted Advisor to generate recommendations to optimize performance. Use Amazon GuardDuty to detect potential performance issues.
- D. Enable VPC Flow Logs. Use Amazon Data Firehose to stream flow logs to Amazon S3. Use Amazon Athena to analyze the logs and to send alerts to the company.
Answer: B
Explanation:
The company needs fast, proactive alerts for future performance issues, beyond basic EC2 metrics. Option A provides a complete, AWS-native monitoring pattern aligned with best practices:
* Enable detailed monitoring on EC2 instances to increase metric resolution (from 5-minute to 1-minute intervals), improving the responsiveness of alarms.
* Define custom CloudWatch metrics for application-level indicators such as request latency, error rate, queue depth, or throughput. These metrics can be published from the application or sidecar agents.
* Create CloudWatch alarms on both infrastructure (CPU, network, disk) and custom application metrics with thresholds that reflect performance SLOs. Alarms can notify teams via SNS or incident management tools.
* Use CloudWatch Logs Insights to analyze logs for recurring error patterns, slow requests, or exceptions when alarms fire.
Option B focuses on tracing and frontend RUM; while useful, it is more complex and not necessary just to get quick alerts. Option C uses services (CloudTrail, GuardDuty, Trusted Advisor) that are not focused on real- time performance detection. Option D with VPC Flow Logs is network-level and would not detect general application performance issues.
Thus, Option A offers a direct, efficient way to detect and alert on performance degradations quickly.
NEW QUESTION # 64
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