What is one way disruptive technologies such as big data and next-gen analytics help protect companies?

Question

Options

• AThey keep data analytics operations safely behind the data center firewall.
• BThey enable sophisticated threat detection all the way to the edge of the network.
• CThey redirect attacks to cloud-based security services environments.
• DThey are resistant to attacks because they have a distributed architecture.

• A
  3% (1)
• B
  94% (29)
• C
  3% (1)

Explanation

Option B is correct because big data and next-gen analytics process massive volumes of real-time telemetry across an entire network - including endpoints, IoT devices, and remote sites at the edge - enabling security systems to detect anomalies and threats far outside the traditional data center perimeter.

Why the distractors are wrong:

• A is wrong because keeping everything "behind the firewall" is the opposite of what big data analytics does - it extends visibility outward, not inward.
• C is wrong because these technologies detect threats; they don't redirect or deflect attacks to cloud environments. That describes a different concept (e.g., a honeypot or scrubbing center).
• D is wrong because distributed architecture doesn't make a system inherently resistant to attacks - in fact, a larger distributed surface can create more attack vectors. Resistance is not the core value proposition here.

Memory tip: Think of next-gen analytics as a security camera network that reaches all the way to the edges of your property - not just watching the front door. The keyword "edge" in the answer maps directly to "edge of the network," which is the defining characteristic of modern analytics-driven security.

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