A service operations team monitors a critical service. They receive thousands of events every day and operators are trained, so they know which events require a response. Sometimes they miss an…

Question

Options

• ARecruit additional operations staff
• BImprove operations team training
• CRenegotiate service level targets
• DImprove filtering of operations data

• A
  4% (1)
• B
  13% (3)
• C
  4% (1)
• D
  78% (18)

Explanation

Improving filtering of operations data (D) directly addresses the root cause: operators are already trained and know what to look for, but critical events are getting lost in the noise of thousands of daily events. Better filtering surfaces what matters and reduces alert fatigue, preventing misses without changing headcount or targets.

• A (Recruit staff) is wrong because the problem isn't insufficient personnel - it's signal-to-noise ratio. More eyes on the same noisy data produces the same misses.
• B (Improve training) is wrong because the team is already described as trained and capable of recognizing important events; the issue is visibility, not knowledge.
• C (Renegotiate targets) is wrong because it avoids the problem entirely rather than solving it - targets exist for business reasons and shouldn't be weakened to mask an operational gap.

Memory tip: When the problem is "drowning in data and missing signals," the answer is almost always filtering/tooling, not more people or better training - those only help when humans are the bottleneck, not the data volume.

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