HPE0-V25 · Question #58
Drag and Drop Question Match the correct scaling approach to each strategy. Answer:
Scale-Out vs Scale-Up Core Concept: Scale-out (horizontal scaling): Add more machines/nodes to distribute the workload Scale-up (vertical scaling): Add more resources to an existing machine --- Item-by-Item Breakdown 1. "Add more servers to do the workload" → Scale-out Classic…
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Explanation
Scale-Out vs Scale-Up
Core Concept:
- Scale-out (horizontal scaling): Add more machines/nodes to distribute the workload
- Scale-up (vertical scaling): Add more resources to an existing machine
Item-by-Item Breakdown
1. "Add more servers to do the workload" → Scale-out Classic horizontal scaling. You're increasing the number of independent units in your infrastructure, not improving any single one. The workload spreads across more nodes.
2. "Add an additional two-socket system to an existing VMware cluster" → Scale-out This is a subtle but important one. Even though you're adding something to an existing cluster, you're adding a whole new physical host - a new node. The cluster grows wider, not taller. The VMware context is a distractor; what matters is that a new independent system is being introduced.
3. "Add more resources (such as processors and memory) to existing servers" → Scale-up Textbook vertical scaling. The server count stays the same; you're making existing machines more powerful by expanding their internal resources.
4. "Add two additional processors to a four-socket system currently equipped with only two processors" → Scale-up A specific instance of item 3. You're upgrading the same physical box - filling empty CPU sockets. No new server is added; the existing server just becomes more capable.
Common Misconceptions
| Misconception | Reality |
|---|---|
| "Adding to a cluster = scale-up" | Adding a new node to a cluster is still scale-out, regardless of cluster context |
| "Scale-up always means buying new hardware" | Scale-up can mean utilizing unused capacity already in a system (like item 4) |
| "Scale-out is always better" | Scale-up has lower complexity (no distributed coordination); the right choice depends on workload type |
Key mental model: Ask "Am I adding a new machine, or making an existing machine bigger?" - that single question disambiguates every case.
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