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| Section | Weight | Objectives |
|---|
| Topic 1: SDLC Automation | 22% | - Automate software release processes
- 1. Implement deployment strategies
- 2. Automate rollback procedures
- 3. Manage artifacts and dependencies
- Automate testing and validation
- 1. Security and compliance testing
- 2. Unit, integration, and performance testing
- 3. Automate quality gates
- Implement CI/CD pipelines
- 1. Automate build, test, and deployment stages
- 2. Integrate version control systems
- 3. Use AWS CodePipeline, CodeBuild, CodeDeploy
|
| Topic 2: Security, Governance, and Compliance | 17% | - Enforce governance and compliance
- 1. Implement compliance rules and audits
- 2. Manage access and permissions at scale
- 3. Use AWS Config and AWS Organizations
- Automate security and compliance
- 1. Use AWS Security Hub and AWS Shield
- 2. Detect and remediate violations automatically
- 3. Integrate security into CI/CD pipelines
- Implement security controls
- 1. Secure secrets and credentials
- 2. Encrypt data at rest and in transit
- 3. Manage IAM for pipelines and environments
|
| Topic 3: 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
- Implement infrastructure as code
- 1. Manage templates and stacks
- 2. Enforce configuration standards
- 3. Use AWS CloudFormation, Terraform, or AWS CDK
- Automate configuration management
- 1. Maintain consistent configurations
- 2. Use AWS Systems Manager, Ansible, or Puppet
- 3. Detect and remediate configuration drift
|
| Topic 4: Monitoring and Logging | 15% | - Automate incident response
- 1. Set up event-driven actions with Amazon EventBridge
- 2. Automate remediation and scaling
- 3. Implement alerting and notification workflows
- Implement logging and analysis
- 1. Analyze logs for troubleshooting and security
- 2. Use AWS X-Ray for tracing
- 3. Centralize logs with CloudWatch Logs
- Implement monitoring solutions
- 1. Monitor infrastructure, applications, and costs
- 2. Use Amazon CloudWatch for metrics and alarms
- 3. Create dashboards and insights
|
| Topic 5: Incident and Event Response | 14% | - Automate event management
- 1. Classify and prioritize events
- 2. Integrate with ticketing and workflow systems
- 3. Automate common operational tasks
- Manage incidents and outages
- 1. Coordinate response and recovery
- 2. Troubleshoot complex issues
- 3. Document and learn from events
- Improve operational processes
- 1. Update runbooks and playbooks
- 2. Implement feedback loops
- 3. Optimize response time and efficiency
|
| Topic 6: Resilient Cloud Solutions | 15% | - Design high availability architectures
- 1. Use Route 53 for routing and failover
- 2. Implement auto scaling and load balancing
- 3. Multi-AZ and multi-region deployments
- 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. Backup and restore strategies
- 3. Test and validate recovery plans
|
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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q338-Q343):
NEW QUESTION # 338
A company runs several applications in the same AWS account. The applications send logs to Amazon CloudWatch.
A data analytics team needs to collect performance metrics and custom metrics from the applications. The analytics team needs to transform the metrics data before storing the data in an Amazon S3 bucket. The analytics team must automatically collect any new metrics that are added to the CloudWatch namespace.
Which solution will meet these requirements with the LEAST operational overhead?
- A. Configure a CloudWatch metrics stream to include all the metrics and to deliver the metrics to an Amazon Data Firehose delivery stream. Configure the Firehose delivery stream to invoke an AWS Lambda function to transform the data. Configure the delivery stream to send the transformed data to the S3 bucket.
- B. Configure metric filters for the CloudWatch logs to create custom metrics. Configure a CloudWatch metric stream to deliver the application metrics to the S3 bucket.
- C. Configure a CloudWatch metric stream to include metrics from the application and the CloudWatch namespace. Configure the metric stream to deliver the metrics to an Amazon Data Firehose delivery stream. Configure the Firehose delivery stream to invoke an AWS Lambda function to transform the data. Configure the delivery stream to send the transformed data to the S3 bucket.
- D. Configure subscription filters on the application log groups to target an Amazon Data Firehose delivery stream. Configure the Firehose delivery stream to invoke an AWS Lambda function to transform the data. Configure the delivery stream to send the transformed data to the S3 bucket.
Answer: A
Explanation:
Amazon CloudWatch metric streams are designed to deliver metrics in near real time to downstream services like Amazon Data Firehose with minimal configuration and management overhead. By configuring a metric stream to include all metrics, you ensure that any newly created performance or custom metrics are automatically included without needing to update filters or code when namespaces or metrics change.
Option B uses a CloudWatch metric stream # Firehose # Lambda # S3 pattern. Firehose natively supports invoking a Lambda function for in-flight transformation of the metric data before final delivery to S3. This satisfies the requirement to transform metrics before storing them and provides a fully managed, serverless pipeline with very little ongoing operational burden.
Option A mentions including metrics from "the application and the CloudWatch namespace," which implies more manual selection and maintenance, potentially missing new metrics if not explicitly added. Options C and D work at the log level, not at the metric level, and would require building additional logic to derive metrics from logs. This is more complex and not aligned with "least operational overhead." Therefore, Option B is the most efficient and scalable solution.
NEW QUESTION # 339
A company has a public application that uses an Amazon API Gateway REST API, an AWS Lambda function, and an Amazon RDS for PostgreSQL DB cluster. Users have recently received error messages as application demand increased.
The company's DevOps engineer discovered that the errors were caused by RDS connection limits being reached. The DevOps engineer also discovered that more than 90% of the API requests are GET requests that read from the DB cluster.
How should the DevOps engineer solve this problem with the LEAST development effort?
- A. Add a proxy from Amazon RDS Proxy in front of the RDS DB cluster. Enable API caching in API Gateway.
- B. Migrate from Amazon RDS to Amazon DynamoDB. Add an Amazon CloudFront distribution in front of the API Gateway REST API.
- C. Migrate from Amazon RDS to Amazon DynamoDB. Enable API caching in API Gateway.
- D. Add an Amazon RDS Proxy in front of the RDS database cluster. Provision an Amazon ElastiCache (Redis OSS) cluster.
Answer: A
Explanation:
The root cause of the problem is that the RDS PostgreSQL instance is exceeding its database connection limit due to high volumes of concurrent GET requests. The most efficient and lowest-effort remediation is to reduce the number of connections that reach the database and serve as many reads as possible from a cache layer. Option B accomplishes both goals with minimal changes to the existing architecture.
First, RDS Proxy manages database connections efficiently by pooling and reusing them. This reduces connection churn and prevents the Lambda function from opening excessive concurrent connections during traffic spikes. RDS Proxy is natively integrated with RDS and requires only minor configuration changes without altering application logic.
Second, enabling API Gateway caching allows caching GET responses directly at the API layer. Because over
90% of requests are GET operations, enabling caching drastically reduces traffic hitting both Lambda and RDS, significantly improving performance and lowering connection pressure.
Option C also improves read scaling, but adding ElastiCache introduces additional infrastructure and requires modifying application code to query Redis before querying the database. This is more complex than enabling API Gateway caching. Options A and D require full database migration, which is far more labor-intensive.
Option B is the simplest, most effective, and most aligned with AWS best practices for reducing RDS connection saturation.
NEW QUESTION # 340
A company is storing 100 GB of log data in .csv format in an Amazon S3 bucket. SQL developers want to query this data and generate graphs to visualize it. The SQL developers also need an efficient, automated way to store metadata from the .csv file. Which combination of steps will meet these requirements with the LEAST amount of effort? (Select THREE.)
- A. Filter the data through AWS X-Ray to visualize the data.
- B. Filter the data through Amazon QuickSight to visualize the data.
- C. Use the AWS Glue Data Catalog as the persistent metadata store.
- D. Query the data with Amazon Redshift.
- E. Query the data with Amazon Athena.
- F. Use Amazon DynamoDB as the persistent metadata store.
Answer: B,E,F
NEW QUESTION # 341
A company has 20 service learns Each service team is responsible for its own microservice. Each service team uses a separate AWS account for its microservice and a VPC with the 192 168 0 0/22 CIDR block. The company manages the AWS accounts with AWS Organizations.
Each service team hosts its microservice on multiple Amazon EC2 instances behind an Application Load Balancer. The microservices communicate with each other across the public internet. The company's security team has issued a new guideline that all communication between microservices must use HTTPS over private network connections and cannot traverse the public internet.
A DevOps engineer must implement a solution that fulfills these obligations and minimizes the number of changes for each service team.
Which solution will meet these requirements?
- A. Create a new AWS account in AWS Organizations Create a transit gateway in this account and use AWS Resource Access Manager to share the transit gateway with the organization. In each of the microservice VPCs. create a transit gateway attachment to the shared transit gateway Update the route tables of each VPC to use the transit gateway Create a Network Load Balancer (NLB) in each of the microservice VPCs Use the NLB DNS names for communication between microservices.
- B. Create a new AWS account in AWS Organizations Create a VPC in this account and use AWS Resource Access Manager to share the private subnets of this VPC with the organization Instruct the service teams to launch a new. Network Load Balancer (NLB) and EC2 instances that use the shared private subnets Use the NLB DNS names for communication between microservices.
- C. Create a Network Load Balancer (NLB) in each of the microservice VPCs Use AWS PrivateLink to create VPC endpoints in each AWS account for the NLBs Create subscriptions to each VPC endpoint in each of the other AWS accounts Use the VPC endpoint DNS names for communication between microservices.
- D. Create a Network Load Balancer (NLB) in each of the microservice VPCs Create VPC peering connections between each of the microservice VPCs Update the route tables for each VPC to use the peering links Use the NLB DNS names for communication between microservices.
Answer: C
Explanation:
Explanation
https://aws.amazon.com/blogs/networking-and-content-delivery/connecting-networks-with-overlapping-ip-range Private link is the best option because Transit Gateway doesn't support overlapping CIDR ranges.
NEW QUESTION # 342
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 PermissionsBoundaries to allow users who have the PermissionBoundaries policy to create new IAM users.
- C. 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.
- 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: C,D
Explanation:
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 # 343
......
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