Exam Certified Tableau CRM and Einstein Discovery Consultant topic 1 question 21 discussion

@Mangoex, I disagree. Per the question: "A consultant plans to extract an Opportunity object for training and wants to create a story to identify opportunities that are likely to be won." identify opportunities that are LIKELY to be won As such we need to draw a comparison between those that have been won with those that are still in a cycle (not lost). B and C are the correct answer

I think also it's B and C

B and C are better options

Einstein Discovery only requires an actionable variable and outcome variables - no need to exclude is closed.

B and C is the correct

Agree with bshreeves. B and C. MangoEx logic is flawed. You can’t train a model to maximise an expected outcome by ONLY supplying it with data where the outcome is already maximised. You need a comprehensive dataset that cuts across multiple scenarios so that the model can learn what drives the intended outcome.

A and B are the correct answers. We are only interested in opportunities that have already reached the outcome. For Opportunities, it typically means when the Opportunity is closed (IsClosed= true), so we do not need isClosed = false. You may also consider filtering for a specific segment of your data as insights that drive faster sales for your enterprise customers may be completely different from your small business customers. We are not using StageName, because this field designates the sales process stage. Since we are training when IsWon=true, the model will only know the stage “Closed Won”. When it sees stages like “Qualification”, for example, the model won’t know what to do with that value and consider it out of bounds for the model. https://www.salesforceblogger.com/2020/03/11/preparing-your-data-for-einstein-discovery/

Question was on exam 21 August 2022.