HPE0-V28 · Question #22

Which technology enables next-gen analytic applications to provide real-time results?

The correct answer is A. in-memory databases. In-memory databases power real-time analytics by storing and processing data directly in RAM rather than reading from slower disk-based storage, eliminating I/O bottlenecks and enabling query responses in milliseconds - essential for next-gen analytic applications. Why the…

Evaluate New Features in HPE Edge-to-Cloud Portfolio

Question

Options

Ain-memory databases
Bjust-in-time processing
Chybrid cloud platforms
Dprocess-driven computing

How the community answered

(28 responses)

A
89% (25)
B
4% (1)
D
7% (2)

Explanation

In-memory databases power real-time analytics by storing and processing data directly in RAM rather than reading from slower disk-based storage, eliminating I/O bottlenecks and enabling query responses in milliseconds - essential for next-gen analytic applications.

Why the distractors are wrong:

B. Just-in-time processing is a manufacturing/inventory concept (and loosely a compiler technique) - it has no established meaning in analytics architecture.
C. Hybrid cloud platforms describe a deployment model (mixing on-premises and cloud), not a data processing mechanism that delivers real-time speed.
D. Process-driven computing is not a recognized computing paradigm; it's a distracting phrase with no standard technical definition.

Memory tip: Think "RAM = Real-time Analytics Memory" - in-memory databases keep data in RAM, and RAM is what makes analytic results real-time.

Topics

#in-memory databases#real-time analytics#next-gen analytics

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