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Google Cloud Digital Leader Exam - Topic 5 Question 83 Discussion

Actual exam question for Google's Cloud Digital Leader exam
Question #: 83
Topic #: 5
[All Cloud Digital Leader Questions]

Your client is a financial services company giving loans based on customer profiles. As part of the regulatory compliance, they have to collect a bunch of different documents with know your cus-tomer (KYC) information. They want to be able to process the information in these documents quickly and at scale. They want to integrate the chosen solution as quickly as possible. What are your options on Google Cloud?

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Suggested Answer: C

Lending DocAI is a pre-packaged AI solution that speeds 'up the mortgage workflow processes to easily process loans and automate document data capture, while ensuring the accuracy and breadth of different documents (e.g., tax statements and asset documents).'

https://cloud.google.com/solutions/lending-doc-ai


by Maddie at Nov 25, 2025, 10:54 PM

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Magda
7 hours ago
Option C sounds like the best fit for processing loan requests efficiently.
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Cammy
5 days ago
I'm just glad they're not asking us to use a crystal ball to process the loan requests. That would be a real challenge!
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Valentin
11 days ago
Option A with the Cloud Vision API could work, but it might be more complex to set up a custom model. C is probably the way to go.
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Shawnee
16 days ago
Option B with TensorFlow could work, but it might be overkill for this use case. C looks like the easiest and most straightforward solution.
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Junita
21 days ago
I'm not sure about option D. Isn't that for natural language processing, not document processing? Seems like a bit of a stretch.
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Micaela
26 days ago
I agree, C seems to be the most comprehensive solution to handle the KYC document processing at scale.
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Elfriede
1 month ago
The Natural Language API seems like it could help with understanding client requests, but I wonder if it would really speed up the document processing part.
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Theresia
1 month ago
I practiced a similar question about document processing, and I feel like TensorFlow might be overkill for this scenario, but I could be wrong.
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Edmond
1 month ago
I think integrating Lending DocAI could be a strong option since it’s specifically designed for document processing in financial services.
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Yolando
2 months ago
I'm a little overwhelmed by all the different options, to be honest. I think I'd need to spend some time mapping out the pros and cons of each approach before deciding which one to recommend.
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Alica
2 months ago
I feel pretty confident that the Lending DocAI and Document AI services are the way to go here. They seem designed specifically for this type of use case, so that would be my top choice.
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Jina
2 months ago
The Natural Language API could be an interesting option to consider as well, since it could help with processing the request forms. But I'm not sure how well that would integrate with the document processing.
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Cassie
2 months ago
I think option C is the best. It’s tailored for loan processing.
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Alana
2 months ago
Option C looks like the best choice here. Lending DocAI and Document AI seem to be the most relevant services for the client's needs.
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Leah
3 months ago
I agree, C seems efficient for handling documents.
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Antione
3 months ago
I remember we discussed the Cloud Vision API in class, but I'm not sure if it's the best fit for processing KYC documents at scale.
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Janna
3 months ago
Hmm, I'm a bit unsure about the differences between the Cloud Vision API, TensorFlow, and the Document AI services. I'd need to research those options a bit more to figure out the best fit.
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Jarod
3 months ago
I think I'd start by looking at option C - the Lending DocAI and Document AI services seem like they could be a good fit for quickly processing the KYC documents at scale.
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Cathrine
2 months ago
Option C sounds solid for scaling.
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