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| Vendor: | WGU |
|---|---|
| Exam Code: | Cloud-Deployment-and-Operations |
| Exam Name: | WGU Cloud Deployment and Operations |
| Exam Questions: | 67 |
| Last Updated: | April 13, 2026 |
| Related Certifications: | WGU Courses and Certifications |
| Exam Tags: | Intermediate Level Cloud Engineers and AWS Cloud Engineers |
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(Which service enables a company to enforce and manage governance rules across multiple AWS accounts?)
AWS Control Tower enables a company to enforce and manage governance rules across multiple AWS accounts by setting up a landing zone with preconfigured policies for security, compliance, and operations. It simplifies multi-account management. The WGU Cloud Deployment and Operations Study Guide (Section 6.5, Control Tower) states, 'Control Tower provides a centralized solution to establish and enforce governance rules across multiple accounts, using guardrails and a landing zone to ensure compliance with organizational policies.' Security Hub, GuardDuty, and Systems Manager do not offer this multi-account governance capability.
(A company is using Route 53 for Domain Name System (DNS) hosting. The company requires a zone that should only be accessible from instances in a Virtual Private Cloud (VPC). Which type of hosted zone should be used?)
A Private Hosted Zone in Amazon Route 53 should be used to restrict DNS resolution to instances within a Virtual Private Cloud (VPC), ensuring that the zone is only accessible internally. This isolates DNS services from public internet access. The WGU Cloud Deployment and Operations Study Guide (Section 3.1, Route 53 Hosted Zones) states, 'A Private Hosted Zone in Route 53 limits DNS resolution to resources within a specified VPC, preventing external access and enhancing security for internal services.' Public Hosted Zones, DNS Zones, and Lightsail DNS Zones do not provide this VPC-specific restriction.
(A company has the following disaster recovery requirements: The loss of up to three hours of data is acceptable. Services must be restored within one hour of failure. Which recovery characteristics will allow the company to meet the requirements?)
Comprehensive and Detailed Explanation From Exact Extract:
Recovery Point Objective (RPO) measures the maximum acceptable data loss, while Recovery Time Objective (RTO) measures the maximum acceptable downtime. The company requires an RPO of up to 3 hours (acceptable data loss) and an RTO of 1 hour (service restoration time). The correct option is RPO 4 hours, RTO 1 hour, as it meets the RPO requirement (allowing up to 3 hours of data loss is within 4 hours) and satisfies the RTO of 1 hour. The WGU Cloud Deployment and Operations Study Guide (Section 8.1, Disaster Recovery) states, 'RPO defines the maximum data loss tolerance (e.g., 3 hours), and RTO defines the maximum downtime (e.g., 1 hour); a configuration of RPO 4 hours and RTO 1 hour aligns with these thresholds.' Other options fail to meet both criteria simultaneously.
(What needs to be configured in Systems Manager to run Automation documents on schedule?)
To run Automation documents on a schedule in AWS Systems Manager, a maintenance window must be configured. Maintenance windows define the time periods during which automated tasks, including the execution of Automation documents, can run. The WGU Cloud Deployment and Operations Study Guide (Section 5.2, Maintenance Windows) explains that maintenance windows are used to schedule and control the execution of Systems Manager tasks, ensuring they align with operational windows. Rate control, session preferences, and resource groups are not used for scheduling automation tasks.
(What is the advantage of maximizing the time to live of the cache in CloudFront?)
Comprehensive and Detailed Explanation From Exact Extract:
Maximizing the time to live (TTL) of the cache in Amazon CloudFront reduces the frequency of requests to the origin server by serving content from edge locations for a longer period, lowering latency and costs. The WGU Cloud Deployment and Operations Study Guide (Section 4.4, CloudFront Caching) states, 'A higher TTL in CloudFront caching minimizes origin requests by keeping objects in edge caches longer, reducing load on the origin server and optimizing performance and cost.' Facilitating high request volumes, improving disaster recovery, and enhancing security are not primary benefits of maximizing TTL.
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