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What can you use scoring models for?
NOTE: There are 2 correct answers to this question.
Suggested Answer: B, D
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33 comments · newest first
RO
Romana
11 months ago
Nope, that's not right! Buckets aren't the focus here.
RA
Rashida
11 months ago
Wait, can they really derive field values of buckets?
MA
Marg
11 months ago
I thought it was just for comparing items in reviews?
RO
Roxane
11 months ago
Totally agree, that's a key use!
MA
Mattie
12 months ago
Scoring models can help derive field values of items.
LA
Lavonne
12 months ago
I’m leaning towards options A and D, but I’m a bit confused about the differences between comparing items and buckets in reviews.
VA
Valentin
12 months ago
I feel like deriving field values of buckets might be correct too, but I can't recall if that's what we discussed in class.
KA
Kassandra
1 year ago
I remember practicing a question similar to this, and I think comparing items in reviews was one of the answers.
HA
Hannah
1 year ago
I think scoring models can be used to derive field values of items, but I'm not sure about the second option.
RO
Robt
1 year ago
Ah, I see now. The question is asking for two correct answers, so it's not just about deriving field values. Comparing items in reviews must also be a valid use of scoring models. Good catch.
JO
Joesph
1 year ago
The key here is to focus on the two correct answers. Deriving field values, like for buckets, and comparing items in reviews. I'm feeling pretty confident about this one.
BI
Billye
1 year ago
I'm a bit confused on the second part. Comparing items in reviews? I'm not sure I follow. Let me re-read the question.
BU
Buffy
1 year ago
Okay, I think I've got this. Scoring models can be used to derive field values, like for buckets. And they can also be used to compare items in reviews.
RO
Rossana
1 year ago
Hmm, this one seems a bit tricky. I'll need to think through the different uses of scoring models carefully.
RE
Regenia
2 years ago
Scoring models? More like 'scoring points' on this exam, am I right? But seriously, A and D are the way to go. Gotta love those field values, am I right or am I right?
DA
Dalene
2 years ago
A) To derive field values of buckets
YV
Yvonne
2 years ago
Exactly! Field values are key in scoring models.
NI
Nickie
2 years ago
D) To derive field values of items
WI
Willow
2 years ago
A) To derive field values of buckets
KA
Kasandra
2 years ago
This is a no-brainer! A and D all the way. Scoring models are the secret sauce to unlocking the true potential of your data. Forget about those pesky reviews, we're in it for the numbers, baby!
KR
Kristel
2 years ago
D) To derive field values of items
MI
Mitsue
2 years ago
A) To derive field values of buckets
FA
Fanny
2 years ago
Hmm, I'm going to have to go with A and D. Scoring models are all about that sweet, sweet data crunching. Who needs to compare items when you can just derive all the juicy field values?
JA
Jarod
2 years ago
B and C seem a bit off-target. Scoring models are for analyzing the data, not just comparing random items in reviews. Gotta stay focused on the task at hand!
ED
Edda
2 years ago
B and C seem a bit off-target. Scoring models are for analyzing the data, not just comparing random items in reviews. Gotta stay focused on the task at hand!
FA
Fabiola
2 years ago
D) To derive field values of items
KA
Katy
2 years ago
A) To derive field values of buckets
EL
Elvis
2 years ago
A and D, of course! Scoring models are all about deriving field values, whether it's for buckets or items. I mean, how else are we supposed to compare apples to oranges, right?
MA
Malcom
2 years ago
A and D, of course! Scoring models are all about deriving field values, whether it's for buckets or items. I mean, how else are we supposed to compare apples to oranges, right?
QU
Quiana
2 years ago
D) To derive field values of items
MA
Mabelle
2 years ago
A) To derive field values of buckets
TA
Tawanna
2 years ago
I agree with Serina. Scoring models help in deriving field values of buckets for analysis.
SE
Serina
2 years ago
I think scoring models can be used to derive field values of buckets.