After the first round of user acceptance testing for a Sales Cloud project, the business analyst discovered that a high number of test cases failed. What is a possible reason why the test cases failed?
Why is it not B? If there were not test script, as stated in A, there would have been no tests but if test result details are not there then i have no reference to compare the result that i get from the feature vs the actual result and hence i would accept the result given by the feature.
It's both a and b (and even c), but if one must choose one, then is a.
(a) without scripts you cannot even start a test
(b) without results you cannot compare expectance with reality
(c) without even know where you should test what can you test?
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