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Cloud-Deployment-and-Operations Reliable Exam Prep & Cloud-Deployment-and-Operations Test Quiz

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WGU Cloud Deployment and Operations Sample Questions (Q35-Q40):

NEW QUESTION # 35
(An administrator needs to troubleshoot a connectivity issue from on-premises computers to public IP addresses assigned to EC2 instances. The administrator suspects the cause to be a network security group.
Which VPC feature should be used to troubleshoot the issue?)

A. Traffic Mirroring
B. Flow Logs
C. PrivateLink
D. Reachability Analyzer

Answer: D

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
The Reachability Analyzer in AWS VPC should be used to troubleshoot connectivity issues from on-premises computers to EC2 instances, especially when a network security group (NSG) is suspected. It analyzes the network path and identifies blocked traffic due to NSG rules or route tables. The WGU Cloud Deployment and Operations Study Guide (Section 3.2, VPC Troubleshooting) states, "Reachability Analyzer helps diagnose connectivity issues by simulating traffic paths, identifying if an NSG rule (e.g., blocked port) or route table is causing the problem from on-premises to EC2 public IPs." Flow Logs provide data but not analysis, PrivateLink is for private connections, and Traffic Mirroring is for monitoring.

NEW QUESTION # 36
(A company is using the CloudWatch agent on its EC2 Linux instances. The company needs to determine how long read requests have waited on the instance's I/O for proper sizing of the instance. Which metric should the company use?)

A. diskio_read_bytes
B. disk_io_time
C. disk_read_ops
D. diskio_reads

Answer: B

Explanation:
The `disk_io_time` metric, collected by the CloudWatch agent on EC2 Linux instances, measures the total time (in milliseconds) that read and write requests have waited on I/O, helping to assess disk performance for instance sizing. The WGU Cloud Deployment and Operations Study Guide (Section 4.1, CloudWatch Agent Metrics) states, "The `disk_io_time` metric, available via the CloudWatch agent, tracks the time spent waiting for I/O operations, providing insight into disk contention for optimizing EC2 instance sizing." disk_read_ops, diskio_reads, and diskio_read_bytes measure operation counts or bytes, not wait times.

NEW QUESTION # 37
(What needs to be configured in Systems Manager to run Automation documents on schedule?)

A. Rate control
B. Resource groups
C. Session preferences
D. Maintenance window

Answer: D

Explanation:
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.

NEW QUESTION # 38
(Which CloudWatch metric filter includes log events with the word ERROR but excludes log events with the word WARNING?)

A. ERROR WARN
B. "ERROR" WARN
C. ERROR -WARN
D. ?ERROR ?WARN

Answer: C

Explanation:
A metric filter in Amazon CloudWatch Logs can be used to search for specific terms in log data and create metrics based on the matches. To include log events with the word "ERROR" and exclude those with the word "WARNING," the correct syntax involves using a filter pattern with a positive match for "ERROR" and a negation for "WARNING." The correct pattern is "ERROR -WARN," where the minus sign (-) indicates exclusion of log events containing "WARN." According to the WGU Cloud Deployment and Operations Study Guide (Section 4.2, CloudWatch Logs), metric filters use a pattern-based syntax where terms are included or excluded using positive matches and the negation operator (-). This ensures that only logs with
"ERROR" and without "WARN" are processed into the metric.

NEW QUESTION # 39
(What is the advantage of maximizing the time to live of the cache in CloudFront?)

A. Improve security measures
B. Minimize requests to the origin
C. Improve a disaster recovery plan
D. Facilitate a high number of requests

Answer: B

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 # 40
......

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