5.05 Evaluate the Variables Relevant to Design a Cloud Bursting Solution 402 Practice Questions (Page 2)

Questions 6–10

1. 6foundation · easy

   What is a common resilience strategy for cloud bursting?

   • ADisabling automatic scaling during bursts
   • BStoring all burst data in a single on-premises location
   • CUsing a single large cloud instance to handle all burst traffic
   • DDeploying the burst workload across multiple cloud availability zones
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2. 7application · medium

   A healthcare organization processes patient records on-premises. During peak enrollment periods, it bursts a portion of its data-processing workload to the cloud. The workload processes de-identified data, but the organization's compliance team requires that all data processing occur within the country's borders. The cloud provider offers regions in the country and in neighboring countries. What is the MOST appropriate design decision?

   • AUse a private cloud hosted by a third party within the country, since only a private cloud can meet compliance requirements.
   • BKeep the data on-premises and only send compute jobs to the cloud, returning only the results.
   • CSelect a cloud region within the country's borders and configure the burst workload to use only that region.
   • DUse the nearest neighboring-country region because it has lower latency, and rely on the de-identification to satisfy compliance.
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4. 8foundation · easy

   How can monitoring data be used to optimize a cloud bursting solution?

   • ABy automatically shutting down the on-premises environment
   • BBy adjusting the thresholds that trigger bursting based on observed usage patterns
   • CBy disabling monitoring during non-burst periods to save costs
   • DBy increasing the on-premises capacity to eliminate the need for bursting
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5. 9foundation · easy

   Why is it important to track the growth rate of workloads when planning cloud bursting capacity?

   • ATo calculate the exact cost of each burst event
   • BTo forecast future peak demand and adjust bursting capacity accordingly
   • CTo determine the current baseline utilization
   • DTo identify which workloads are stateless
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6. 10application · medium

   A university research lab runs a genomics analysis pipeline on-premises. The pipeline is used sporadically—sometimes idle for weeks, then heavily used for a few days when new sequencing data arrives. The lab wants to use cloud bursting to handle these bursts without maintaining a large on-premises cluster. Which workload characteristic makes this a GOOD candidate for cloud bursting?

   • AThe workload generates large amounts of data that must be transferred to the cloud for each burst.
   • BThe workload has a steady, predictable baseline that runs continuously.
   • CThe workload has high variability and is latency-tolerant, allowing it to run in the cloud when demand spikes.
   • DThe workload requires sub-millisecond latency to a local database.
   Reveal Solution Discussion Select an answer first