Microsoft Exam MB-260 Topic 3 Question 26 Discussion

Actual exam question for Microsoft's MB-260 exam

Question #: 26
Topic #: 3

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals Some question sets might have more than one correct solution, while others might not have a correct solution.

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You are implementing Microsoft Dynamics 365 Customer Insights as your company's Customer Data Platform.

The initial dataset tables contain contacts from Dynamics 365 Sales. eCommerce customers, and service management platform incidents.

In your first unification run, you set Dynamics 365 as the primary table but only see eCommerce profiles that were able to be matched with Dynamics 365 contacts.

You need to ensure that unmatched eCommerce customers are also added as a profile in Dynamics 365 Customer Insights.

Solution: Adjust the first condition in the matching rule with the lowest precision.

Does this meet the goal?

AYes

BNo

Show Suggested Answer

Suggested Answer: B

by Myra at Apr 09, 2024, 10:47 AM

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Aretha

6 days ago

Hold up, guys. I think we need to take a step back and really think this through. If we're not careful, we could end up with a mess of duplicate profiles and incorrect data. Let's consider all the options before making a move.

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Melissa

6 days ago

Exactly, and you know what they say - 'garbage in, garbage out'. We don't want to end up with a bunch of messy, inaccurate data just to get those eCommerce profiles in there.

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Norah

7 days ago

Ugh, I hate these tricky data integration questions. They're always trying to trip you up. I say we just go for it and see what happens. What's the worst that could happen? Oh wait, don't answer that.

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Stefania

8 days ago

You know, I've had some experience with this kind of thing before. Lowering the precision on the matching rule could work, but it's also going to increase the likelihood of false positives. We need to weigh the potential benefits against the risks.

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Lajuana

8 days ago

Yeah, that sounds like a much better approach. I'm not a fan of just lowering the precision on the main matching rule. That seems like a band-aid solution that could cause more issues down the line.

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Theresia

9 days ago

Ooh, that's a good idea! We could create a secondary matching rule with lower precision just for the eCommerce data, so we don't compromise the accuracy of the Dynamics 365 matches. That way we can pull in those unmatched profiles without messing up the rest of the data.

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Leanora

9 days ago

Hmm, adjusting the matching rule with the lowest precision? That seems like a pretty risky move. I'm not sure if that's going to give us the results we're looking for. We need to be really careful with how we handle that data unification.

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Carmelina

10 days ago

Hmm, I see what they're going for, but I agree with the others. Lowering the precision could create more problems than it solves. Maybe we should look at adding a new matching rule specifically for the unmatched eCommerce customers instead?

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Minna

12 days ago

Yeah, I'm not sure about that either. Lowering the precision of the matching rule seems counterintuitive. Wouldn't that just lead to more false positives and potentially merge profiles that shouldn't be merged?

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Juan

14 days ago

Wait, so we need to ensure that unmatched eCommerce customers are also added as a profile in Dynamics 365 Customer Insights? I'm not sure adjusting the matching rule with the lowest precision is the way to go. Wouldn't that just reduce the accuracy of the matches we do have?

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