2.09 Evaluate Variables Relevant to the Design of On-Demand Provisioning of Application Services 402 Practice Questions (Page 5)

Questions 21–25

1. 21expert · hard

   A company runs a real-time analytics application on Azure that ingests data from thousands of IoT devices. The application has a microservices architecture and is deployed on Azure Kubernetes Service (AKS). The traffic pattern is unpredictable, and the application must scale each microservice independently. The company wants to minimize cost while ensuring that scaling decisions are based on actual demand. Which scaling approach should they use?

   • AUse a single Horizontal Pod Autoscaler (HPA) for the entire application based on overall CPU usage.
   • BUse Azure Container Instances to run each microservice on demand and scale manually.
   • CUse a custom metrics adapter in AKS to scale each microservice based on its own specific metrics, such as message queue length or request latency.
   • DUse a scheduled scaling rule that increases all replicas during business hours and decreases them at night.
   Reveal Solution Discussion Select an answer first
2. 22foundation · easy

   Which provisioning strategy is most directly associated with ensuring high availability for an application?

   • ADisabling auto-scaling to maintain a fixed number of instances
   • BDeploying instances across multiple availability zones
   • CProvisioning all resources in a single data center
   • DUsing a single large instance in one location
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4. 23application · medium

   A company runs a global web application on Azure that serves users in North America and Europe. The application is deployed in two Azure regions, and traffic is routed using Azure Traffic Manager. The operations team wants to ensure that on-demand provisioning does not introduce latency for users. Which design consideration is most important?

   • AProvision resources in each region based on the expected user load and latency requirements for that region.
   • BUse a single region with a global load balancer to simplify provisioning.
   • CEnsure that the auto-scaling rules are identical in both regions.
   • DUse performance-based traffic routing to send users to the region with the lowest latency.
   Reveal Solution Discussion Select an answer first
5. 24foundation · easy

   Which of the following is a key variable that must be evaluated when designing on-demand provisioning for application services in a cloud environment?

   • AThe expected demand pattern and its variability over time
   • BThe color scheme of the application's user interface
   • CThe physical location of the cloud provider's headquarters
   • DThe number of developers on the application team
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6. 25application · medium

   A company runs a web application on Azure App Service. The application has a baseline load that requires at least two instances, but it experiences occasional spikes that require up to ten instances. The company wants to minimize cost while ensuring the application can handle the spikes. Which pricing tier and scaling configuration should they use?

   • AUse the Premium tier with a fixed ten instances at all times.
   • BUse the Standard tier with a scale-out rule based on CPU percentage and a minimum of two instances.
   • CUse the Basic tier with a scale-out rule based on memory usage.
   • DUse the Free tier with manual scaling to ten instances during spikes.
   Reveal Solution Discussion Select an answer first