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Veritas VCS-413 Exam - Topic 7 Question 71 Discussion

How should items without text content be handled during Transparent Predictive Coding (TCP) workflow?
D) The items must be separated for manual review.
A) The items must be flagged for further review during the Controlled Prediction Accuracy Test.
B) The items must be included in training sets.
C) The items must be OCR'd during the Controlled Prediction Accuracy Test.

Veritas VCS-413 Exam - Topic 7 Question 71 Discussion

Actual exam question for Veritas's VCS-413 exam
Question #: 71
Topic #: 7
[All VCS-413 Questions]

How should items without text content be handled during Transparent Predictive Coding (TCP) workflow?

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Suggested Answer: D

by Torie at Sep 14, 2024, 08:42 AM

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Brandee
7 months ago
Totally agree, flagging makes the most sense!
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Mariann
8 months ago
Surprised that manual review is even an option here!
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Kizzy
8 months ago
OCR'ing them sounds like a good idea, but is it really necessary?
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Gearldine
8 months ago
I think they should be included in training sets instead.
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Theola
8 months ago
Items without text should definitely be flagged for review.
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Helga
8 months ago
I definitely studied the importance of manual review for items without text, but I can't remember if that was the best approach in TCP workflows.
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Clay
9 months ago
I feel like OCR'ing those items might be necessary, but I also think they could just be separated for manual review instead.
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Elina
9 months ago
I remember practicing a question about including items in training sets, but I can't recall if that applies to non-text items specifically.
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Antione
9 months ago
I think items without text should be flagged for further review, but I'm not entirely sure if that's during the Controlled Prediction Accuracy Test or another phase.
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Noah
9 months ago
This is an interesting question. I'm going to carefully consider the pros and cons of each option before making my choice.
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Andra
9 months ago
I'm feeling pretty confident about this one. Based on my understanding, the items without text content should be separated for manual review to ensure they are properly classified.
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Aide
9 months ago
Okay, I think I've got this. The key is to make sure we handle the items without text content in a way that maintains the integrity of the training sets and the Controlled Prediction Accuracy Test.
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Domonique
9 months ago
Hmm, I'm a bit confused on the best approach here. I'll need to review the course materials to make sure I understand the Transparent Predictive Coding process fully.
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Stacey
9 months ago
This is a tricky one. I'll need to think carefully about the different options and how they might impact the Transparent Predictive Coding workflow.
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Mozelle
2 years ago
I don't know about you guys, but I'm feeling a little bit like a detective trying to solve this mystery. Maybe we should just ask the instructor to give us a hint, or at least a cup of coffee to keep us going!
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Ilene
2 years ago
D) The items must be separated for manual review.
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Sharita
2 years ago
C) The items must be OCR'd during the Controlled Prediction Accuracy Test.
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Lynda
2 years ago
B) The items must be included in training sets.
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Gladis
2 years ago
A) The items must be flagged for further review during the Controlled Prediction Accuracy Test.
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Shaniqua
2 years ago
Hmm, I'm leaning towards A. Flagging the items for further review during the CPAT makes sense to me. After all, we don't want any surprises in the final results!
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Desirae
2 years ago
Wow, this is a tough one! I'm going to have to go with C. OCR'ing those items during the Controlled Prediction Accuracy Test seems like the most logical approach.
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Lyndia
2 years ago
I see your point, but I still think C is the best option. OCR'ing the items can help extract text content for better predictions.
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Jessenia
2 years ago
I agree with you, but I think D might also be necessary. Some items may require manual review to ensure accuracy.
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Jodi
2 years ago
I think B is the way to go. Including the items in training sets can help improve the accuracy of the predictions.
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Cristy
2 years ago
I believe items without text content should be separated for manual review to ensure accuracy.
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Magdalene
2 years ago
I agree with Oneida, flagging them for further review during the accuracy test makes sense.
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Oneida
2 years ago
I think items without text content should be flagged for further review.
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Merissa
2 years ago
I'm not sure about this one. It seems like option B might be the way to go, since including the items in the training set could help the algorithm learn to handle them better.
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Audry
2 years ago
I think the answer is D. Items without text content should be separated for manual review, as they can't be easily analyzed by the predictive coding algorithm.
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Augustine
2 years ago
D) The items must be separated for manual review.
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Trinidad
2 years ago
C) The items must be OCR'd during the Controlled Prediction Accuracy Test.
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Monte
2 years ago
B) The items must be included in training sets.
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Tashia
2 years ago
A) The items must be flagged for further review during the Controlled Prediction Accuracy Test.
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