Probability that seven concerts get distributed to every unique day of a week using Markov chains?

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I saw a question some hour ago which sadly got closed because it was duplicate so I did not have the time to figure out an answer.

Can we use Markov chains to calculate the probability that if having 7 concerts during one week and every concert is equally probable to happen any day, what is the probability that they all end up on all the 7 different days?

Something along the lines of:

  1. Select one day for the first concert. This succeeds in 100% of the cases, because every day is free.
  2. Select one day for second concert. (Given that 1 succeeded), this succeeds with rate 6/7, since there is only one day which yet is taken.
  3. Select one day for third concert. (Given that 2 succeeded), this succeeds with rate 5/7, since there are only two out of seven days which are yet taken.
  4. ...

So every success above takes us to one new state and every failure takes us to some failure state which we can't get out of.

Is this a valid approach to solve this problem or am I missing something?