What should you tell customers about Aruba AlOps' advantages versus Mist?

Question

Options

• AWhile Mist offers features for enhancing troubleshooting, it does not offer Al or remediation
• BAruba AlOps benefits from a much larger data set that ensures problems are more accurately
• CMist AlOps capabilities derive from Juniper, and Mist and Juniper are not well integrated.
• DMist uses machine learning from large data sets for its AlOps solution, while Aruba AlOps uses a

• A
  70% (26)
• B
  3% (1)
• C
  19% (7)
• D
  8% (3)

Explanation

Option A is correct because the key competitive differentiator is that Mist provides useful troubleshooting visibility and insights, but stops short of offering true AI-driven automated remediation - Aruba AIOps goes further by not only detecting problems but also automatically resolving them, giving customers a more complete, proactive solution.

Option B is incorrect (and notably incomplete) because while data set size matters, it is not the primary talking point, and Juniper/Mist also has substantial telemetry data from a large installed base.

Option C is wrong because Mist was acquired by Juniper precisely to be tightly integrated - claiming they are "not well integrated" is factually inaccurate and a weak competitive argument.

Option D is also incomplete as written, and it misrepresents the comparison - Aruba AIOps absolutely uses machine learning; the actual gap is in remediation, not in whether AI/ML is used at all.

Memory tip: Think of it as "Mist sees the problem, Aruba fixes it" - Mist has troubleshooting features but no AI remediation, which is Aruba's winning edge.

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