When selecting storage solutions on IBM Cloud for a data analytics platform, which factor is most important to consider?

Question

Options

• AThe color scheme of the web interface for easy identification
• BThe geographic location of physical servers only
• CCompatibility with existing legacy backup systems
• DPerformance characteristics and scalability of the storage solution

• A
  15% (5)
• B
  9% (3)
• C
  3% (1)
• D
  73% (24)

Explanation

Performance characteristics and scalability (D) are the most critical factors when selecting storage for a data analytics platform because analytics workloads demand high throughput, low latency, and the ability to handle growing data volumes - if storage can't keep up, the entire platform bottlenecks regardless of how well everything else is configured.

Why the distractors fail:

• A is obviously irrelevant - UI aesthetics have zero impact on storage performance or capability.
• B is partially valid (geography matters for latency and compliance), but making it the only consideration ignores the far more impactful technical requirements.
• C is a common trap - legacy backup compatibility is a migration concern, not a primary selection criterion, and optimizing for old systems can actually constrain you from choosing better solutions.

Memory tip: Think "analytics = scale and speed." Any storage question tied to data analytics should anchor to performance + scalability first - those two words are your signal to pick D over compliance-adjacent or cosmetic distractors.

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