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ServiceNow CIS-EM Exam - Topic 5 Question 68 Discussion

Posted by Junita on Nov 17, 2024 at 04:19 PM

What is the recommended approach to normalizing data from a source system to the default values in Event Management?

Suggested Answer: D

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31 comments · newest first
JO
Jonell 11 months ago
Alert management rules? Really? That doesn't sound right.
RI
Rickie 11 months ago
I agree, Transform maps are the way to go.
ED
Edison 11 months ago
Wait, are we sure it's not Business rules? Seems like a solid option.
MI
Mitzie 12 months ago
I think Event field mapping is more straightforward.
SH
Sherita 12 months ago
Definitely Transform maps! That's the standard method.
AH
Ahmed 1 year ago
I keep mixing up business rules and transform maps. I think it could be D, but I need to double-check my notes on this topic.
ER
Eric 1 year ago
I feel like alert management rules could play a role, but I don't recall them being the primary method for normalization. Maybe C is a distraction?
MA
Maxima 1 year ago
I'm not entirely sure, but I remember something about event field mapping being important for data normalization. Could it be A?
CA
Casie 1 year ago
I think the answer might be B, Transform maps, because we talked about them in class as a way to standardize data.
BI
Billi 1 year ago
I'm feeling pretty confident about this one. Transform maps is definitely the way to go for normalizing data in Event Management. I've seen this type of question before.
LU
Luis 1 year ago
Event field mapping sounds like the most straightforward option, but I want to make sure I'm not missing something. I'll try to remember the key differences between the choices.
GA
Galen 1 year ago
Hmm, I'm not totally sure about this one. I'll have to think it through carefully. Maybe I should review the material on Event Management again before deciding.
AR
Arletta 1 year ago
I think the recommended approach is probably Transform maps, since that's the option that sounds the most like it would be used for normalizing data.
AN
Anglea 2 years ago
B) Transform maps, for sure. That's the way to go, folks. No need to transform into a different kind of map, though.
GL
Gladis 2 years ago
↳ replying to Anglea
Transform maps make it easier to map data from a source system to default values.
JA
Jacob 2 years ago
↳ replying to Anglea
It's important to use the right tools like transform maps for data normalization.
GR
Gregg 2 years ago
↳ replying to Anglea
I agree, using transform maps is the recommended approach for mapping data.
CH
Chery 2 years ago
↳ replying to Anglea
Transform maps are definitely the way to go for normalizing data.
MI
Mitsue 2 years ago
I'm going to go with B) Transform maps. It sounds like the most comprehensive solution for data normalization.
LE
Leatha 2 years ago
I prefer using Business rules for normalizing data, they provide more flexibility.
VA
Vallie 2 years ago
D) Business rules seems like a good option too, but I'm leaning more towards B) Transform maps.
LO
Lorrie 2 years ago
↳ replying to Vallie
D) Business rules can be considered, but Transform maps are the preferred method for data normalization.
AL
Alica 2 years ago
↳ replying to Vallie
A) Event field mapping can also be useful for normalizing data from a source system.
DA
Dante 2 years ago
↳ replying to Vallie
B) Transform maps are the recommended approach for normalizing data in Event Management.
DA
Danilo 2 years ago
I agree with Miss, Transform maps are the way to go for normalizing data.
CA
Carissa 2 years ago
I think the correct answer is B) Transform maps. It's the most logical approach to normalizing data from a source system.
MO
Mozell 2 years ago
↳ replying to Carissa
Alert management rules might not be the best option for normalizing data in this case.
SH
Shawnda 2 years ago
↳ replying to Carissa
I think Business rules could also be a possible approach for normalizing data.
VO
Vonda 2 years ago
↳ replying to Carissa
Event field mapping could also work, but Transform maps are more commonly used.
AN
Annett 2 years ago
↳ replying to Carissa
I agree, Transform maps are used to standardize and normalize data.
MI
Miss 2 years ago
I think the recommended approach is using Transform maps.
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