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KCNA · Question #169
KCNA Question #169: Real Exam Question with Answer & Explanation
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Submitted by mateo_ar· May 4, 2026Cloud Native Architecture
Question
Let's assume that an organization needs to process large amounts of data in bursts, on a cloud- based Kubernetes cluster. For instance: each Monday morning, they need to run a batch of 1000 compute jobs of 1 hour each, and these jobs must be completed by Monday night. What's going to be the most cost-effective method?
Options
- ARun a group of nodes with the exact required size to complete the batch on time, and use a
- BLeverage the Kubernetes Cluster Autoscaler to automatically start and stop nodes as they're
- CCommit to a specific level of spending to get discounted prices (with e.g. "reserved instances" or
- DUse PriorityСlasses so that the weekly batch job gets priority over other workloads running on the
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Topics
#Kubernetes Autoscaling#Cluster Autoscaler#Cost Management#Burst Workloads