In Amazon CloudWatch, custom metrics are organized and grouped using namespaces. A namespace is a container for CloudWatch metrics that allows you to isolate and categorize metrics from different applications or services. According to the WGU Cloud Deployment and Operations Study Guide (Section 4.1, CloudWatch Metrics), each custom metric must be assigned to a namespace, which acts as a unique identifier to prevent naming collisions and facilitate metric management. Options like Service, Date, and Value are not used for grouping metrics in this context.

To receive emails when a Lambda function returns an error, the administrator should use Amazon CloudWatch to monitor the function’s logs and metrics (e.g., errors) and Amazon Simple Notification Service (SNS) to send email notifications based on CloudWatch alarms. The WGU Cloud Deployment and Operations Study Guide (Section 4.3, CloudWatch and SNS) states, "CloudWatch can detect Lambda errors via logs and trigger an alarm, which integrates with SNS to send email notifications to subscribed endpoints, ensuring timely error alerts." SQS and CloudTrail are not designed for this notification workflow.

To create a metric filter in the Amazon CloudWatch console, the first step is to select a log group from which the log data will be analyzed. A log group contains log streams, and metric filters are applied to the log data within these groups to extract metrics based on patterns. The WGU Cloud Deployment and Operations Study Guide (Section 4.2, CloudWatch Logs) specifies that the process begins by navigating to the CloudWatch console, selecting a log group, and then defining the filter pattern. Actions like enabling an alarm, defining a trace, or specifying a stream are subsequent or unrelated steps.

Amazon CloudWatch alarms can trigger notifications when a metric breaches a defined threshold. The AWS solution designed to send emails based on these alarms is Amazon Simple Notification Service (SNS). SNS supports sending notifications via email, SMS, and other protocols when subscribed endpoints are triggered by CloudWatch alarms. The WGU Cloud Deployment and Operations Study Guide (Section 4.3, Monitoring and Alarms) states that SNS is the primary service for delivering notifications from CloudWatch, allowing users to configure emailsubscriptions for alarm states. Other options like SQS, Amplify, and Kinesis are not designed for this purpose.

Amazon S3 (Simple Storage Service) should be used to host content to be processed for Amazon Made, as it provides scalable object storage ideal for storing and retrieving large amounts of data, such as media files or documents, for processing workflows. The WGU Cloud Deployment and Operations Study Guide (Section 2.1, Amazon S3) states, "S3 is the preferred solution for hosting content to be processed by services like Amazon Made, offering durable and highly available storage with support for lifecycle policies and integration with other AWS services." DocumentDB, DynamoDB, and EC2 are not designed for this content hosting purpose.

Patch Manager in AWS Systems Manager sends compliance reports to an Amazon S3 bucket, where they are stored for auditing and analysis. This allows administrators to track patch compliance status across EC2 instances and on-premises servers. The WGU Cloud Deployment and Operations Study Guide (Section 5.2, Patch Manager) states, "Patch Manager compliance reports are delivered to an S3 bucket configured as a target, providing a centralized location for reviewing patch status and compliance data." OpsWorks, EBS, and Route 53 are not used for storing these reports.

The latency routing policy in Amazon Route 53 should be used to direct customer requests to the website with the shortest round-trip time (RTT). This policy routes traffic to the AWS region with the lowest latency based on the user's location, optimizing performance. The WGU Cloud Deployment and Operations Study Guide (Section 3.1, Route 53 Routing Policies) states, "The latency-based routing policy in Route 53 measures RTT to direct users to the region with the lowest latency, improving user experience across multiple websites." Geolocation, geoproximity, and weighted policies do not prioritize RTT in this manner.