Which customer issue does an in-memory database address?

Question

Options

• Athe need for desktop virtualization
• Bthe need for flexible storage and compute scaling
• Cthe need for data virtualization in the cloud
• Dthe need for faster insights from data

• A
  3% (1)
• B
  3% (1)
• C
  6% (2)
• D
  89% (31)

Explanation

In-memory databases store data directly in RAM rather than on disk, eliminating the I/O latency of traditional databases and delivering query results dramatically faster - which directly solves the customer need for faster insights from data (D). Option A is wrong because desktop virtualization is about delivering OS environments to end users, unrelated to database architecture. Option B describes elastic cloud infrastructure (like auto-scaling compute/storage), which is a cloud platform concern, not an in-memory database feature. Option C refers to abstracting data sources behind a unified layer, also unrelated to where data physically resides.

Memory tip: Think of the phrase "in-memory = in an instant" - the whole point of keeping data in RAM is speed, so whenever you see "in-memory database," map it to performance and fast analytics.

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