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| Section | Weight | Objectives |
|---|
| Topic 1: Security and Compliance Automation | 13% | - Security automation in CI/CD and infrastructure
- 1. Compliance monitoring and auditing
- 2. IAM policy automation and governance
|
| Topic 2: SDLC Automation | 22% | - CI/CD pipeline design and implementation
- 1. Build and deployment automation
- 2. Pipeline optimization and scaling
|
| Topic 3: Resilient Cloud Solutions | 15% | - High availability and fault tolerance design
- 1. Disaster recovery strategies
- 2. Multi-AZ and multi-region architectures
|
| Topic 4: Monitoring and Logging | 15% | - Observability and metrics
- 1. Log aggregation and analysis
- 2. CloudWatch monitoring and alarms
|
| Topic 5: Configuration Management and Infrastructure as Code | 17% | - Infrastructure provisioning and automation
- 1. Configuration tools and automation strategies
- 2. AWS CloudFormation and CDK usage
|
| 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 (Q72-Q77):
NEW QUESTION # 72
A company is launching an application that stores raw data in an Amazon S3 bucket. Three applications need to access the data to generate reports. The data must be redacted differently for each application before the applications can access the data.
Which solution will meet these requirements?
- A. For each application, create an S3 access point that uses the raw data's S3 bucket as the destination.
Create an AWS Lambda function that is invoked by object creation events in the raw data's S3 bucket.
Program the Lambda function to redact data for each application. Store the data in each application's S3 access point. Configure each application to consume data from its own S3 access point. - B. Create an Amazon Kinesis data stream. Create an AWS Lambda function that is invoked by object creation events in the raw data's S3 bucket. Program the Lambda function to redact data for each application. Publish the data on the Kinesis data stream. Configure each application to consume data from the Kinesis data stream.
- C. Create an S3 access point that uses the raw data's S3 bucket as the destination. For each application, create an S3 Object Lambda access point that uses the S3 access point. Configure the AWS Lambda function for each S3 Object Lambda access point to redact data when objects are retrieved. Configure each application to consume data from its own S3 Object Lambda access point.
- D. Create an S3 bucket for each application. Configure S3 Same-Region Replication (SRR) from the raw data's S3 bucket to each application's S3 bucket. Configure each application to consume data from its own S3 bucket.
Answer: C
Explanation:
* The best solution is to use S3 Object Lambda1, which allows you to add your own code to S3 GET, LIST, and HEAD requests to modify and process data as it is returned to an application2. This way, you can redact the data differently for each application without creating and storing multiple copies of the data or running proxies.
* The other solutions are less efficient or scalable because they require replicating the data to multiple buckets, streaming the data through Kinesis, or storing the data in S3 access points.
References: 1: Amazon S3 Features | Object Lambda | AWS 2: Transforming objects with S3 Object Lambda
- Amazon Simple Storage Service
NEW QUESTION # 73
A company has deployed an Amazon Elastic Kubernetes Service (Amazon EKS) cluster with Amazon EC2 node groups. The company's DevOps team uses the Kubernetes Horizontal Pod Autoscaler and recently installed a supported EKS cluster Autoscaler.
The DevOps team needs to implement a solution to collect metrics and logs of the EKS cluster to establish a baseline for performance. The DevOps team will create an initial set of thresholds for specific metrics and will update the thresholds over time as the cluster is used. The DevOps team must receive an Amazon Simple Notification Service (Amazon SNS) email notification if the initial set of thresholds is exceeded or if the EKS cluster Autoscaler is not functioning properly.
The solution must collect cluster, node, and pod metrics. The solution also must capture logs in Amazon CloudWatch.
Which combination of steps should the DevOps team take to meet these requirements? (Select THREE.)
- A. Create a CloudWatch alarm to monitor the logs of the Autoscaler deployments for errors. Configure the alarm to send an SNS email notification to the DevOps team if thresholds are exceeded.
- B. Create a CloudWatch alarm to monitor a metric log filter of the Autoscaler deployments for errors.Configure the alarm to send an SNS email notification to the DevOps team if thresholds are exceeded.
- C. Deploy AWS Distro for OpenTelemetry to the cluster. Ensure that the EKS cluster has appropriate permissions to send metrics and logs to CloudWatch.
- D. Deploy the CloudWatch agent and Fluent Bit to the cluster. Ensure that the EKS cluster has appropriate permissions to send metrics and logs to CloudWatch.
- E. Create CloudWatch alarms to monitor the CPU, memory, and node failure metrics of the cluster.
Configure the alarms to send an SNS email notification to the DevOps team if thresholds are exceeded. - F. Create a CloudWatch composite alarm to monitor a metric log filter of the CPU, memory, and node metrics of the cluster. Configure the alarm to send an SNS email notification to the DevOps team when anomalies are detected.
Answer: B,D,E
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of DevOps Engineer Documents Only:
Deploy CloudWatch Agent + Fluent Bit (supported by Amazon EKS integration) to forward metrics and logs.
Create CloudWatch Alarms for CPU/memory/node metrics and metric log filters for Autoscaler logs, triggering SNS notifications when anomalies occur. This pattern matches AWS guidance on "Monitoring EKS clusters with CloudWatch Container Insights and alarms."
NEW QUESTION # 74
A company uses an organization in AWS Organizations to manage multiple AWS accounts in a hierarchical structure. An SCP that is associated with the organization root allows IAM users to be created.
A DevOps team must be able to create IAM users with any level of permissions. Developers must also be able to create IAM users. However, developers must not be able to grant new IAM users excessive permissions.
The developers have the CreateAndManageUsers role in each account. The DevOps team must be able to prevent other users from creating IAM users.
Which combination of steps will meet these requirements? (Select TWO.)
- A. Create an SCP in the organization to deny users the ability to create and modify IAM users. Attach the SCP to the root of the organization. Attach the CreateAndManageUsers role to developers.
- B. Create an IAM permissions policy named PermissionBoundaries within each account. Configure the PermissionBoundaries policy to specify the maximum permissions that a developer can grant to a new IAM user.
- C. Create an IAM permissions policy named PermissionBoundaries within each account. Configure PermissionsBoundaries to allow users who have the PermissionBoundaries policy to create new IAM users.
- D. Create an IAM permissions policy named DeveloperBoundary within each account. Configure the DeveloperBoundary policy to allow developers to create IAM users and to assign policies to IAM users only if the developer includes the PermissionBoundaries policy as the permissions boundary. Attach the DeveloperBoundary policy to the CreateAndManageUsers role within each account.
- E. Create an SCP in the organization to grant users that have the DeveloperBoundary policy attached the ability to create new IAM users and to modify IAM users. Configure the SCP to require users to attach the PermissionBoundaries policy to any new IAM user. Attach the SCP to the root of the organization.
Answer: B,D
Explanation:
Comprehensive & Detailed Explanation (150-250 words):
To allow developers to create IAM users without granting excessive permissions, the correct solution is to use permissions boundaries, which AWS specifically recommends for restricting delegated administrators such as developers. A permissions boundary defines the maximum permissions that an IAM user or role can delegate.
Step C ensures that each AWS account contains a PermissionBoundaries policy defining the maximum allowed permissions that any developer-created user may receive. This prevents privilege escalation, even if the developer attaches a more powerful policy. This aligns with AWS guidance for restricting privilege escalation within multi-account environments.
Step E ensures that developers can create IAM users but only if they attach the PermissionBoundaries policy as the permissions boundary. By attaching the DeveloperBoundary policy to the CreateAndManageUsers role, developers gain the ability to create users, but they are cryptographically prevented from assigning permissions outside the boundary policy.
Meanwhile, the DevOps team (who are not restricted by the boundary) can still create IAM users with full permissions.
This combination satisfies all constraints:
DevOps team: unrestricted IAM creation
Developers: restricted IAM creation enforced by boundaries
Other users: still blocked from IAM creation by existing SCP
NEW QUESTION # 75
A large company recently acquired a small company. The large company invited the small company to join the large company's existing organization in AWS Organizations as a new OU. A DevOps engineer determines that the small company needs to launch t3.small Amazon EC2 instance types for the company's application workloads. The small company needs to deploy the instances only within US-based AWS Regions. The DevOps engineer needs to use an SCP in the small company's new OU to ensure that the small company can launch only the required instance types. Which solution will meet these requirements?
- A. Configure a statement to allow the ec2:RunInstances action for all EC2 instance resources when the ec2:InstanceType condition is equal to t3.small. Configure another statement to allow the ec2:RunInstances action for all EC2 instance resources when the aws:RequestedRegion condition is equal to us-.
- B. Configure a statement to allow the ec2:RunInstances action for all EC2 instance resources when the ec2:InstanceType condition is not equal to t3.small. Configure another statement to allow the ec2:RunInstances action for all EC2 instance resources when the aws:RequestedRegion condition is not equal to us-.
- C. Configure a statement to deny the ec2:RunInstances action for all EC2 instance resources when the ec2:InstanceType condition is not equal to t3.small. Configure another statement to deny the ec2:RunInstances action for all EC2 instance resources when the aws:RequestedRegion condition is not equal to us-.
- D. Configure a statement to deny the ec2:RunInstances action for all EC2 instance resources when the ec2:InstanceType condition is equal to t3.small. Configure another statement to deny the ec2:RunInstances action for all EC2 instance resources when the aws:RequestedRegion condition is equal to us-.
Answer: B
NEW QUESTION # 76
A company releases a new application in a new AWS account. The application includes an AWS Lambda function that processes messages from an Amazon Simple Queue Service (Amazon SOS) standard queue. The Lambda function stores the results in an Amazon S3 bucket for further downstream processing. The Lambda function needs to process the messages within a specific period of time after the messages are published. The Lambda function has a batch size of 10 messages and takes a few seconds to process a batch of messages.
As load increases on the application's first day of service, messages in the queue accumulate at a greater rate than the Lambda function can process the messages. Some messages miss the required processing timelines. The logs show that many messages in the queue have data that is not valid. The company needs to meet the timeline requirements for messages that have valid data.
Which solution will meet these requirements?
- A. Increase the Lambda function's batch size. Configure S3 Transfer Acceleration on the S3 bucket. Configure an SOS dead-letter queue.
- B. Reduce the Lambda function's batch size. Increase the SOS message throughput quota. Request a Lambda concurrency increase in the AWS Region.
- C. Keep the Lambda function's batch size the same. Configure the Lambda function to report failed batch items. Configure an SOS dead-letter queue.
- D. Increase the Lambda function's batch size. Change the SOS standard queue to an SOS FIFO queue. Request a Lambda concurrency increase in the AWS Region.
Answer: C
Explanation:
Step 1: Handling Invalid Data with Failed Batch ItemsThe Lambda function is processing batches of messages, and some messages contain invalid data, causing processing delays. Lambda provides the capability to report failed batch items, which allows valid messages to be processed while skipping invalid ones. This functionality ensures that the valid messages are processed within the required timeline.
Action: Keep the Lambda function's batch size the same and configure it to report failed batch items.
Why: By reporting failed batch items, the Lambda function can skip invalid messages and continue processing valid ones, ensuring that they meet the processing timeline.
Reference:
Step 2: Using an SQS Dead-Letter Queue (DLQ)Configuring a dead-letter queue (DLQ) for SQS will ensure that messages with invalid data, or those that cannot be processed successfully, are moved to the DLQ. This prevents such messages from clogging the queue and allows the system to focus on processing valid messages.
Action: Configure an SQS dead-letter queue for the main queue.
Why: A DLQ helps isolate problematic messages, preventing them from continuously reappearing in the queue and causing processing delays for valid messages.
Step 3: Maintaining the Lambda Function's Batch SizeKeeping the current batch size allows the Lambda function to continue processing multiple messages at once. By addressing the failed items separately, there's no need to increase or reduce the batch size.
Action: Maintain the Lambda function's current batch size.
Why: Changing the batch size is unnecessary if the invalid messages are properly handled by reporting failed items and using a DLQ.
This corresponds to Option D: Keep the Lambda function's batch size the same. Configure the Lambda function to report failed batch items. Configure an SQS dead-letter queue.
NEW QUESTION # 77
......
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