Cloud Monitoring and Maintenance (CloudNetX CNX-001) Flashcards
CompTIA CloudNetX CNX-001 Flashcards

| Front | Back |
| How can tagging cloud resources assist in monitoring and maintenance | By organizing and categorizing resources for easier management and cost tracking. |
| Name a tool frequently used for automating tasks in cloud management | Terraform. |
| Name a widely used logging service in AWS | Amazon CloudWatch Logs. |
| Name an example of serverless monitoring | Tracking the execution times and errors of AWS Lambda functions. |
| What are audit logs typically used for in cloud environments | Tracking user activities, access, and changes for security and compliance. |
| What does Availability Monitoring ensure in a cloud system | That services and applications remain operational and accessible to users. |
| What does horizontal scaling involve in a cloud environment | Adding more instances to distribute the workload. |
| What does logging provide in the context of cloud maintenance | A record of events and activities that can help in troubleshooting and auditing. |
| What does synthetic monitoring simulate | User interactions with applications to proactively test performance. |
| What does the term "observability" mean in cloud monitoring | The ability to understand the behavior and state of a system based on its outputs. |
| What does vertical scaling involve in a cloud environment | Increasing the resources in a single instance, like adding CPU or memory. |
| What is a cloud maintenance best practice for keeping systems updated | Regularly applying patches and updates to cloud resources. |
| What is a key benefit of using automated monitoring tools in the cloud | Proactive identification and resolution of issues before they impact users. |
| What is a service-level agreement (SLA) in cloud monitoring | A contract that defines uptime and performance expectations between a provider and a customer. |
| What is cloud monitoring | The process of overseeing, analyzing, and managing the performance, health, and security of cloud resources and services. |
| What is meant by "cost-awareness" in cloud monitoring | Tracking resource usage to optimize spend and prevent unexpected charges. |
| What is the benefit of centralized logging in distributed cloud environments | Easier analysis and troubleshooting across multiple systems. |
| What is the Function of "thresholds" in monitoring alerts | To define specific values at which alerts should be triggered. |
| What is the primary use of alerts in cloud monitoring | Notifying administrators of potential issues or thresholds being exceeded. |
| What is the purpose of a cloud monitoring dashboard | To provide real-time visibility into the status and performance of cloud systems. |
| What is the purpose of anomaly detection in cloud monitoring | To identify unusual or unexpected patterns in system performance or usage. |
| What is the significance of real-time monitoring in dynamic cloud environments | Ensures immediate response to incidents and minimizes potential impacts. |
| What kind of data do performance metrics typically include | CPU usage, memory usage, disk I/O, and network traffic. |
| What role does machine learning play in cloud monitoring | Automating the detection of performance issues and forecasting future needs. |
| Which cloud monitoring tool is commonly used with Microsoft's Azure cloud services | Azure Monitor. |
| Which metric often indicates cloud system performance issues | Latency. |
| Why is data retention policy important for cloud logs | To balance storage costs and the need for historical data analysis. |
| Why is scalability monitoring important in cloud environments | To ensure cloud resources can handle increased demand without performance degradation. |
| Why is uptime monitoring critical in cloud maintenance | To ensure services meet SLA commitments and minimize downtime. |
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About the Flashcards
Flashcards for the CompTIA CloudNetX exam give focused review of cloud monitoring and maintenance terminology, concepts, and practical checks. Cards cover monitoring fundamentals like availability, uptime, and observability; core performance metrics such as latency, CPU, memory, disk I/O, and network; plus dashboards, alerts, thresholds, and centralized logging for troubleshooting and auditing.
Students will also review scalability (vertical and horizontal), serverless and synthetic monitoring, SLAs, anomaly detection and machine-learning forecasting, cost-awareness, tagging and data retention, patching best practices, and common tools like Amazon CloudWatch, Azure Monitor and automation with Terraform to reinforce exam vocabulary and scenarios.
Topics covered in this flashcard deck:
- Cloud monitoring fundamentals
- Logging and audit trails
- Performance metrics and alerts
- Vertical and horizontal scaling
- Observability and dashboards
- Tools and automation