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Microsoft AI-102 Exam - Topic 9 Question 54 Discussion

Actual exam question for Microsoft's AI-102 exam
Question #: 54
Topic #: 9
[All AI-102 Questions]

You have an Azure Cognitive Search solution and a collection of handwritten letters stored as JPEG files.

You plan to index the collection. The solution must ensure that queries can be performed on the contents of the letters.

You need to create an indexer that has a skillset.

Which skill should you include?

Show Suggested Answer Hide Answer
Suggested Answer: B

by Ty at Dec 10, 2023, 09:18 PM

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Denny
4 months ago
Document extraction seems off for this task, right?
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Tien
4 months ago
100% agree, OCR is the way to go here!
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Mirta
4 months ago
Wait, can OCR really handle all types of handwriting?
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Colette
5 months ago
I think key phrase extraction could work too, but not as effective.
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Twanna
5 months ago
Definitely need OCR for handwritten letters!
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Ludivina
5 months ago
Image analysis sounds interesting, but I feel like it wouldn't help us get the actual text from the letters.
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Ressie
5 months ago
I practiced a similar question, and I believe document extraction is more about structured data, not what we need for handwritten text.
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Edelmira
5 months ago
I'm not entirely sure, but I remember something about key phrase extraction being useful for summarizing content.
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Remedios
5 months ago
I think we need to use OCR here since we want to extract text from handwritten letters.
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Arthur
5 months ago
I'm a bit confused here. Is document extraction a valid option, or is that not relevant for this scenario? I want to make sure I understand the requirements fully before selecting an answer.
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Tijuana
5 months ago
Okay, let me think this through. The letters are stored as JPEG files, so we'll need to use some kind of image processing to extract the text. I'm leaning towards the OCR option, but I'll double-check the details just to be sure.
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Rene
5 months ago
Hmm, I'm not sure about this one. The question mentions that we need to be able to perform queries on the contents of the letters, so maybe key phrase extraction would be a better option to pull out the important topics and concepts?
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Art
6 months ago
This seems pretty straightforward. I think the key here is that we need to extract the text content from the handwritten letters, so optical character recognition (OCR) is the way to go.
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Phillip
6 months ago
I'm a bit confused by the different rating scales used in the spreadsheet. I'll need to make sure I'm interpreting the data correctly before making a decision.
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Annelle
6 months ago
I'm uncertain if common law being unwritten is true or not. I thought there were some unwritten elements, but I guess it can also be considered written through case law?
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Arminda
6 months ago
Hmm, I'm a bit confused about the differences between PDBs and non-CDBs. I'll need to review my notes carefully.
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My
2 years ago
I was thinking the same thing. OCR is the obvious choice. Although, I have to say, I'm a little worried about how accurate it will be with handwritten text. Hopefully, it's up to the task.
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Sabina
2 years ago
Yeah, I agree with Tresa. OCR is definitely the way to go here. I mean, who wants to manually transcribe all those letters? That would be a nightmare.
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Tresa
2 years ago
I think the answer is B) optical character recognition (OCR). We need to be able to extract the text from those handwritten letters, and OCR is the perfect tool for that. It will convert the images into searchable text.
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Chantell
2 years ago
Okay, guys, this question is definitely testing our knowledge of Azure Cognitive Search. The key here is that we have a collection of handwritten letters stored as JPEG files, and we need to index them so that we can perform queries on the contents.
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Salina
2 years ago
B) optical character recognition (OCR)
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Angelyn
2 years ago
D) image analysis
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Aron
2 years ago
C) document extraction
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Lelia
2 years ago
B) optical character recognition (OCR)
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Donette
2 years ago
A) key phrase extraction
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