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WGU Cloud Deployment and Operations Sample Questions (Q14-Q19):
NEW QUESTION # 14
(An organization uses CloudFormation to deploy AWS infrastructure. The templates are built in JSON and deploy EC2 instances across multiple regions. Which solution should be used to set values in the template based on region-specific AMI IDs?)
Answer: C
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
The Mappings section in a CloudFormation template should be used to set values based on region-specific AMI IDs. Mappings allow the template to define a lookup table that associates regions with corresponding AMI IDs, enabling dynamic selection during stack creation across multiple regions. The WGU Cloud Deployment and Operations Study Guide (Section 5.3, CloudFormation Mappings) states, "The Mappings section enables region-specific configurations, such as mapping AMI IDs to regions (e.g., 'us-east-1': 'ami-
123456'), ensuring the correct AMI is used based on the deployment region." Outputs, WaitCondition, and Resources do not provide this mapping functionality.
NEW QUESTION # 15
(A company that uses five Elastic IP addresses does not want to request more from AWS. Which solution should be used to route requests to a healthy endpoint?)
Answer: A
Explanation:
To route requests to a healthy endpoint without requesting additional Elastic IP addresses, the company should register a DNS name to an auto-assigned public IP address using a service like Route 53. This leverages dynamic DNS to distribute traffic, reducing reliance on fixed EIPs. The WGU Cloud Deployment and Operations Study Guide (Section 3.1, Route 53) states, "Registering a DNS name with an auto-assigned public IP in Route 53 allows traffic routing to healthy instances, avoiding the need for additional Elastic IP addresses." TTL adjustment, route table edits, and Systems Manager are not relevant solutions.
NEW QUESTION # 16
(What is the advantage of maximizing the time to live of the cache in CloudFront?)
Answer: C
Explanation:
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.
NEW QUESTION # 17
(What should be configured in Systems Manager to set the error threshold for automation documents?)
Answer: B
Explanation:
In AWS Systems Manager, the error threshold for automation documents is configured using rate control.
Rate control allows administrators to define the maximum number of errors or concurrent executions that can occur before an automation task is throttled or stopped, ensuring system stability. The WGU Cloud Deployment and Operations Study Guide (Section 5.1, Systems Manager Automation) explicitly states, "Rate control settings in Automation documents can be used to specify the maximum number of errors allowed during execution, helping to manage error thresholds effectively." Resource groups, session preferences, and maintenance windows do not directly address error thresholds.
NEW QUESTION # 18
(Which Performance Insights view provides information on the hardware resource that may be causing a bottleneck?)
Answer: D
Explanation:
The Wait event view in Amazon RDS Performance Insights provides information on hardware resources (e.g., CPU, I/O, memory) that may be causing bottlenecks by showing wait times for database operations. The WGU Cloud Deployment and Operations Study Guide (Section 7.2, Performance Insights) states, "The Wait event view in Performance Insights identifies resource bottlenecks (e.g., I/O wait times) by analyzing wait states, helping optimize database performance on hardware resources." Users, Hosts, and Statement views focus on different aspects and do not directly address hardware bottlenecks.
NEW QUESTION # 19
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