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Questions updated at Aug 12, 2026, 3:38 PM CDT
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CloudWatch cross-account observability lets a monitoring account view telemetry from source accounts and build shared operational dashboards. Templates, root credentials, and invoice reports do not provide centralized multi-account observability.
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Use CloudWatch cross-account observability and shared dashboards for the source accounts, as selected.
CloudWatch cross-account observability lets a monitoring account view telemetry from source accounts and build shared operational dashboards. Templates, root credentials, and invoice reports do not provide centralized multi-account observability.
The desire for a single pane of glass often leads operators to conflate CloudFormation templates, which define infrastructure, with CloudWatch dashboards. CloudWatch dashboards are designed for visualization and analysis of metrics, not for infrastructure deployment. Cross-account observability provides the centralized view needed, while CloudFormation would only change how resources are built, not how they are monitored. Likely wrong answer: Replace the application CloudFormation templates with dashboard widgets Review focus: CloudWatch Cross-Account Observability
Q: Let's say our operations team is struggling to quickly identify the root cause of performance issues in our application. We're seeing Lambda errors, high EC2 CPU utilization, and unusual patterns in our application logs. How would you design a monitoring solution to give them a clear, consolidated view of these different signals? Strong answer: The first thing I'd do is leverage CloudWatch to aggregate those different data sources into a single dashboard. We'd create custom dashboards that combine Lambda error counts, EC2 CPU utilization metrics, and parsed application log data. I'd also ensure the dashboard is easily accessible and understandable for the operations team, potentially using visualizations like graphs and heatmaps to highlight trends. We'd need to define appropriate thresholds and alarms to proactively alert the team to potential issues.
Caution: Simply stating 'use CloudWatch' without explaining how to combine and visualize the data. Focusing only on one data source (e.g., just Lambda errors).
Use application or load balancer health signals with alarms and scaling policies to replace failed capacity, for evaluation.
Create an AWS Budget in the account and configure a Budget Action to apply a Service Control Policy (SCP) that denies `ec2:RunInstances` for p-type instances when the budgeted cost exceeds 100%, within the documented operational, security, ownership, and validation requirements.
Use AWS Systems Manager Automation runbooks for repeatable remediation workflows, within the documented scope, ownership, and validation boundaries.
The NAT Gateway was deployed in the private subnet instead of a public subnet that has a route to the Internet Gateway, under the organization’s defined implementation and exception-management process.
Create a CloudWatch Logs metric filter for the error pattern and alarm on the resulting metric, under the described monitoring and logging criteria.
AWS Systems Manager Automation runbooks defining ordered execution steps, for the required automation and remediation outcome.
Security groups and network ACLs, along with the subnet route tables, within the proposed design.
Create a Primary routing policy record pointing to us-east-1 and associate it with an active Route 53 health check. Create a Secondary routing policy record pointing to us-west-2. Set both to use Failover routing, under the stated technical, operational, and governance constraints.
Create an AWS Transit Gateway. Connect all VPCs to the Transit Gateway. Configure the route tables of the spoke VPCs to route `0.0.0.0/0` to the Transit Gateway attachment, and configure the Transit Gateway route table to route internet-bound traffic to the central egress VPC
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