What is the advantage of using reserved instances in IBM Cloud for certain workloads?

Question

Options

• AThey offer more flexibility than on-demand instances
• BThey provide higher performance metrics for computing
• CThey reduce costs for predictable, steady-state workloads
• DThey automatically scale without any monitoring

• A
  3% (1)
• B
  9% (3)
• C
  74% (25)
• D
  15% (5)

Explanation

Reserved instances allow you to commit to a specific instance type for a set term (typically 1 or 3 years) in exchange for a significant discount - making them ideal for workloads with predictable, consistent resource needs like databases, web servers, or batch processing pipelines.

Why the distractors are wrong:

• A is incorrect because reserved instances are less flexible than on-demand - you're locked into a commitment in exchange for the lower price.
• B is incorrect because reserved instances don't change the underlying hardware or performance characteristics; the compute power is the same as equivalent on-demand instances.
• D is incorrect because reserved instances have nothing to do with auto-scaling - that's a separate feature, and scaling still requires configuration and monitoring regardless of pricing model.

Memory tip: Think of reserved instances like a gym membership - you pay upfront for a year and get a lower monthly rate, but only makes sense if you'll actually use it consistently. If your workload is "always on," reserve it; if it's unpredictable, pay as you go.

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