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HPE7-A04 · Question #55

What is true about rollback plan for migration phases? (Select two)

The correct answer is C. Archive Last known good configuration (state) D. Determine maximum time for rollback. Archiving the last known good configuration (C) ensures you have a verified restore point before migration begins - without it, rollback has nothing to revert to. Determining the maximum rollback time (D) is equally critical because it sets a hard decision boundary: if recovery…

Validating and Documenting Data Center Designs

Question

What is true about rollback plan for migration phases? (Select two)

Options

  • AStaff members can't be included in rollback dependency
  • BDon't give a timeframe for the rollback as this might affect customer confidence in your solution
  • CArchive Last known good configuration (state)
  • DDetermine maximum time for rollback

How the community answered

(28 responses)
  • A
    4% (1)
  • B
    4% (1)
  • C
    93% (26)

Explanation

Archiving the last known good configuration (C) ensures you have a verified restore point before migration begins - without it, rollback has nothing to revert to. Determining the maximum rollback time (D) is equally critical because it sets a hard decision boundary: if recovery isn't complete within that window, the team escalates rather than guessing indefinitely.

Why the distractors are wrong:

  • A is incorrect - staff and personnel are valid rollback dependencies. Human resources (DBAs, network engineers, approvers) are often essential to executing a rollback and must be accounted for.
  • B is the opposite of best practice - you should define a rollback timeframe. It drives decision-making under pressure and is part of what option D correctly requires.

Memory tip: Think "Save and Set" - Save the last good state (C) and Set a time limit (D). These two actions make a rollback executable, while the distractors either exclude real dependencies (A) or hide critical information (B).

Topics

#rollback plan#migration phases#last known good config#change management

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