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Adobe AD0-E602 Exam - Topic 1 Question 35 Discussion

A Real-Time CDP Business Practitioner is working on a case where there is a data governance policy violation on activating a segment to email targeting destination using a data field from dataset labeled as C4.Which two are recommended resolutions for this situation to maintain existing data governance policy? (Choose two.)
B) Modify segment attribute or merge policy and C) Remove segment from destination
A) Remove or modify data usage policy
D) Remove or modify labels of the dataset

Adobe AD0-E602 Exam - Topic 1 Question 35 Discussion

Actual exam question for Adobe's AD0-E602 exam
Question #: 35
Topic #: 1
[All AD0-E602 Questions]

A Real-Time CDP Business Practitioner is working on a case where there is a data governance policy violation on activating a segment to email targeting destination using a data field from dataset labeled as C4.

Which two are recommended resolutions for this situation to maintain existing data governance policy? (Choose two.)

Show Suggested Answer Hide Answer
Suggested Answer: B, C

According to the Adobe documentation, C4 is a type of contract label that indicates data that cannot be used for off-site targeting purposes, such as email targeting destination. To resolve the policy violation, the practitioner can either modify the segment attribute or merge policy to exclude the C4 data field from the segment definition, or remove the segment from the destination altogether. Reference: https://experienceleague.adobe.com/docs/experience-platform/data-governance/dule/dule-overview.html?lang=en#contract-labels


by Chaya at Sep 16, 2024, 01:43 PM

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Ria
8 months ago
Why would anyone choose A? That sounds like a bad idea.
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Lelia
8 months ago
Totally agree with B, we need to keep compliance in check!
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Ramonita
8 months ago
Wait, can we really just modify the data usage policy? Seems risky.
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Pete
9 months ago
I think C makes sense too, just cut the segment.
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Luisa
9 months ago
Option B is definitely a good move.
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Katy
9 months ago
I think modifying the segment attribute is definitely one of the options we covered, but I'm not clear on whether removing labels would actually help with compliance.
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Latrice
9 months ago
I feel like we practiced a question where we had to adjust data usage policies, but I can't recall if that was a recommended approach or not.
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Kyoko
10 months ago
I think removing the segment from the destination might be a safe choice to avoid any violations, but I wonder if it really addresses the root of the issue.
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Alyce
10 months ago
I remember we discussed how modifying segment attributes could help in similar scenarios, but I'm not entirely sure if that's the best option here.
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Shawnee
10 months ago
This is a tricky one. I'm not sure if removing or modifying the data usage policy is the right call, since the question specifically says to maintain the existing policy. I'll need to think this through carefully.
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Ceola
10 months ago
Hmm, I'm a bit confused here. Is the issue with the data field itself or the way it's being used in the segment? I'll need to dig into the details to figure out the best approach.
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Annmarie
10 months ago
This seems like a straightforward data governance issue. I'd start by looking at the data usage policy and seeing if I can modify the segment attribute or merge policy to comply with it.
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Dannette
10 months ago
Okay, I think I've got this. The key is to maintain the existing data governance policy, so I'd probably go with removing the segment from the destination or modifying the labels on the dataset. Gotta stay compliant!
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Bonita
2 years ago
Hmm, I'd say C and D are the way to go. Gotta keep those data fields in check, you know? *laughs* Data governance, am I right?
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Rosio
2 years ago
Nickie: Absolutely, can't risk any violations.
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Nickie
2 years ago
User 2: Agreed, we need to make sure we're following the data governance policy.
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Gregg
2 years ago
User 1: Yeah, definitely. C and D seem like the best options.
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Annice
2 years ago
I think modifying the segment attribute or merge policy could also help maintain the data governance policy.
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Sunshine
2 years ago
This is a tricky one! I think A and D are the way to go. Gotta love those data governance policies, am I right? *wink wink*
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Janna
2 years ago
Marget: Absolutely, we can't risk violating any policies.
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Nan
2 years ago
Removing or modifying labels of the dataset is crucial for compliance.
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Marget
2 years ago
Yeah, we definitely need to make sure we're following those data governance policies.
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Aleshia
2 years ago
I agree, A and D seem like the best options.
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Krystal
2 years ago
B and C are the way to go. Modifying the segment attributes or removing it from the destination will help maintain the existing data governance policy.
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Iesha
2 years ago
Removing or modifying labels of the dataset could also be a good option to consider in order to address the policy violation.
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Teddy
2 years ago
I agree, it's important to ensure compliance with data governance policies when working with sensitive data.
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Janella
2 years ago
B and C are the way to go. Modifying the segment attributes or removing it from the destination will help maintain the existing data governance policy.
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Kaitlyn
2 years ago
I agree with Sherita. We can also remove or modify the labels of the dataset.
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Sherita
2 years ago
I think we should remove the segment from the destination.
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Madelyn
2 years ago
C and D seem like the most appropriate options here. We need to either remove the segment from the destination or modify the dataset labels to align with the data governance policy.
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Timmy
2 years ago
Let's make sure to document these updates for future reference.
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Lyda
2 years ago
I think we should go ahead and implement those changes to stay compliant.
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Ling
2 years ago
Agreed, removing the segment or modifying the dataset labels should solve the issue.
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Winifred
2 years ago
C and D are definitely the best options to maintain data governance.
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