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Monitoring and Optimization of Resources Flashcards
Microsoft Fabric Data Engineer Associate DP-700 Flashcards
| Front | Back |
| Best practice for monitoring data pipelines | Regularly check data pathway performance and identify bottlenecks |
| Best way to identify resource hotspots | Use monitoring tools to analyze patterns and pinpoint overused resources |
| How can automation aid in optimization efforts | Automating routine tasks reduces manual workload and ensures consistent results |
| How do caching strategies improve performance | By reducing the need to retrieve data repeatedly from slow storage |
| How does performance monitoring work in Microsoft Fabric | It tracks system metrics like memory usage, CPU load, and query performance |
| How does proper indexing improve performance | Speeds up data retrieval and reduces processing time in databases |
| Key benefit of optimizing resources | Improved efficiency and reduced operational costs |
| Key metric to track for query optimization | Query duration and resource utilization |
| Purpose of resource tagging | Categorize and track resources for better management and monitoring |
| Role of predictive analytics in optimization | Anticipating future usage trends to allocate resources accordingly |
| What is a resource pool in Microsoft Fabric | A shared pool of CPU and memory resources for tasks across a workload |
| What is capacity planning | Estimating resources required to meet future demand |
| What is governance in resource monitoring | Policies and controls to ensure efficient, secure, and compliant resource use |
| What is load balancing | Distributing workloads across multiple resources to improve performance and fault tolerance |
| What is monitoring in resource optimization | Tracking system performance to identify issues and areas for improvement |
| What is the difference between vertical and horizontal scaling | Vertical scaling adds resources to a single system, while horizontal scaling adds systems to the pool |
| What is throttling in resource management | Reducing resource usage when system limits are reached to maintain stability |
| What to do when a system experiences high latency | Analyze resource usage and optimize queries or increase allocated resources |
| What tools are used for monitoring in Microsoft Fabric | Power BI, Fabric Monitoring Dashboard, and built-in analytics features |
| Why is scaling important in resource optimization | It ensures systems can handle increased workloads without performance degradation |
This deck explores methods for monitoring system performance and optimizing resources to ensure efficient data engineering operations within Microsoft Fabric.