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| Topic | Details |
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| Topic 1 | - Networking and Content Delivery: This section measures skills of Cloud Network Engineers and focuses on VPC configuration, subnets, routing, network ACLs, and gateways. It includes optimizing network cost and performance, configuring DNS with Route 53, using CloudFront and Global Accelerator for content delivery, and troubleshooting network and hybrid connectivity using logs and monitoring tools.
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| Topic 2 | - Reliability and Business Continuity: This section measures the skills of System Administrators and focuses on maintaining scalability, elasticity, and fault tolerance. It includes configuring load balancing, auto scaling, Multi-AZ deployments, implementing backup and restore strategies with AWS Backup and versioning, and ensuring disaster recovery to meet RTO and RPO goals.
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| Topic 3 | - Security and Compliance: This section measures skills of Security Engineers and includes implementing IAM policies, roles, MFA, and access controls. It focuses on troubleshooting access issues, enforcing compliance, securing data at rest and in transit using AWS KMS and ACM, protecting secrets, and applying findings from Security Hub, GuardDuty, and Inspector.
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| Topic 4 | - Deployment, Provisioning, and Automation: This section measures the skills of Cloud Engineers and covers provisioning and maintaining cloud resources using AWS CloudFormation, CDK, and third-party tools. It evaluates automation of deployments, remediation of resource issues, and managing infrastructure using Systems Manager and event-driven processes like Lambda or S3 notifications.
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| Topic 5 | - Monitoring, Logging, Analysis, Remediation, and Performance Optimization: This section of the exam measures skills of CloudOps Engineers and covers implementing AWS monitoring tools such as CloudWatch, CloudTrail, and Prometheus. It evaluates configuring alarms, dashboards, and notifications, analyzing performance metrics, troubleshooting issues using EventBridge and Systems Manager, and applying strategies to optimize compute, storage, and database performance.
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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q140-Q145):
NEW QUESTION # 140
A company uses an IAM policy to ensure that all AWS resources are deployed and managed by AWS CloudFormation. A CloudOps engineer must periodically audit all AWS resources and provide a list of resources that do not match the expected configuration. Which solution will meet this requirement with the LEAST effort?
- A. Configure an Amazon EventBridge rule that sends a notification to the company when any resource is created by CloudFormation. Audit the event notifications for any incorrect configurations.
- B. Audit code repositories where CloudFormation code is stored to look for any deviations from the expected configuration.
- C. Use the AWS CLI to check all resources to ensure consistency with the intended configuration.
- D. Use Amazon EventBridge to schedule periodic invocations of CloudFormation drift detection.Capture findings for review.
Answer: D
Explanation:
CloudFormation drift detection compares the actual configuration of stack resources with the expected configuration defined in the CloudFormation template. This directly satisfies the requirement to find resources that do not match the expected configuration. Scheduling drift detection with Amazon EventBridge automates the audit and avoids manual CLI checks or repository reviews. Repository reviews only validate desired template code, not the real deployed state. EventBridge notifications about resource creation do not prove that resources remain compliant after deployment. AWS CLI scripts could work, but they would require custom logic and ongoing maintenance. For CloudOps, the best approach is to use the native drift detection capability and automate it on a schedule, then capture the drift results for operational review and remediation planning.
NEW QUESTION # 141
A company has scientists who upload large data objects to an Amazon S3 bucket. The scientists upload the objects as multipart uploads. The multipart uploads often fail because of poor end- client connectivity.
The company wants to optimize storage costs that are associated with the data. A CloudOps engineer must implement a solution that presents metrics for incomplete uploads. The solution also must automatically delete any incomplete uploads after 7 days.
Which solution will meet these requirements?
- A. Access the S3 console. Review the Metrics tab to check the storage that incomplete multipart uploads are consuming. Create an AWS Lambda function to delete any incomplete multipart uploads after 7 days.
- B. Review the Incomplete Multipart Upload Bytes metric in the S3 Storage Lens dashboard. Create an S3 Lifecycle policy to automatically delete any incomplete multipart uploads after 7 days.
- C. Use the S3 analytics storage class analysis tool to identify and measure incomplete multipart uploads. Configure an S3 bucket policy to enforce restrictions on multipart uploads to delete incomplete multipart uploads after 7 days.
- D. Implement S3 Intelligent-Tiering to move data into lower-cost storage classes after 7 days. Create an S3 Storage Lens policy to automatically delete any incomplete multipart uploads after 7 days.
Answer: B
Explanation:
S3 Storage Lens provides visibility into incomplete multipart upload storage through metrics such as incomplete multipart upload bytes. An S3 Lifecycle rule can be configured to abort incomplete multipart uploads after 7 days, which automatically removes the uploaded parts and reduces unnecessary storage costs.
NEW QUESTION # 142
A company recently acquired another corporation and all of that corporation's AWS accounts. A financial analyst needs the cost data from these accounts. A CloudOps engineer uses Cost Explorer to generate cost and usage reports. The CloudOps engineer notices that "No Tagkey" represents 20% of the monthly cost.
What should the CloudOps engineer do to tag the "No Tagkey" resources?
- A. Use Cost Explorer to find and tag all the untagged resources.
- B. Add the accounts to AWS Organizations. Use a service control policy (SCP) to tag all the untagged resources.
- C. Use an AWS Config rule to find the untagged resources. Set the remediation action to terminate the resources.
- D. Use Tag Editor to find and tag all the untagged resources.
Answer: D
Explanation:
AWS Resource Groups Tag Editor is the correct tool for finding and applying tags to AWS resources across services and Regions. Cost Explorer can show cost allocation gaps, including "No Tagkey," but it is not the tool used to apply tags to resources. Service control policies can enforce permission boundaries, but they do not retroactively tag resources. AWS Config can detect missing required tags and can support remediation workflows, but terminating resources is clearly destructive and does not solve the financial reporting requirement. In CloudOps cost governance, the clean approach is to use Tag Editor to locate untagged or incorrectly tagged resources and apply the appropriate business-unit tags. After tagging, the company should activate cost allocation tags so future Cost Explorer reports correctly allocate spending.
NEW QUESTION # 143
A company is migrating a legacy application to AWS. The application runs on EC2 instances across multiple Availability Zones behind an Application Load Balancer (ALB). The target group routing algorithm is set to weighted random, and the application requires session affinity (sticky sessions).
After deployment, users report random application errors that were not present before migration, even though target health checks are passing.
Which solution will meet this requirement?
- A. Turn off the cross-zone load balancing attribute of the target group.
- B. Increase the deregistration delay attribute of the target group.
- C. Turn on anomaly mitigation for the target group.
- D. Set the routing algorithm of the target group to least outstanding requests.
Answer: D
Explanation:
According to the AWS Cloud Operations and Elastic Load Balancing documentation, Application Load Balancer (ALB) supports multiple routing algorithms to distribute requests among targets:
* Round robin (default)
* Least outstanding requests (LOR)
* Weighted random
When applications require session affinity, AWS recommends using "least outstanding requests" as the load balancing algorithm because it reduces latency, distributes load evenly, and ensures consistent target responsiveness during high traffic.
Using weighted random routing with sticky sessions can cause sessions to be routed inconsistently if one target's capacity fluctuates, leading to session mismatches and application errors - especially when user sessions rely on instance-specific state.
Disabling cross-zone balancing (Option C) or adjusting deregistration delay (Option D) does not address routing inconsistency. Anomaly mitigation (Option B) protects against target performance degradation, not sticky-session misrouting.
Therefore, the correct solution is Option A - changing the target group's routing algorithm to least outstanding requests ensures smoother, predictable session handling and resolves random application errors.
Reference: AWS Cloud Operations & Load Balancing Guide - Optimizing Application Load Balancer Routing Algorithms for Stateful Applications
NEW QUESTION # 144
A company uses Amazon Route 53 with latency-based routing across multiple AWS Regions to provide resiliency. The company uses Route 53 with latency-based routing to direct traffic to the nearest Region. Within each Region, weighted A records distribute traffic across multiple Availability Zones.
During a recent update, some Availability Zone endpoints became unhealthy. Route 53 continued to route traffic to the unhealthy endpoints. The company must prevent this issue from occurring in the future.
Which solution will meet this requirement?
- A. Reconfigure all records to use latency-based routing across all Regions uniformly.
- B. Increase the weight of Route 53 records in the Region where traffic must go during updates.
- C. Reduce the TTL value for latency-based routing to detect changes more quickly.
- D. Add a Route 53 health check for each of the weighted records that received traffic during the recent update.
Answer: D
Explanation:
In Route 53 latency-based routing, traffic is routed to the Region with the lowest latency, and within each Region, weighted records can distribute traffic across multiple endpoints. However, if the weighted records lack individual health checks, Route 53 cannot detect endpoint failures and continues routing traffic to unhealthy targets. Attaching a Route 53 health check to each weighted record ensures that only healthy endpoints receive traffic, preventing recurrence of the issue.
NEW QUESTION # 145
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