Google Cloud Digital Leader Exam - Topic 2 Question 78 Discussion

Actual exam question for Google's Cloud Digital Leader exam

Question #: 78
Topic #: 2

An organization wants to adopt the advanced machine learning capabilities of the Google Cloud. However, regulations require data to be stored in an on-premises data center.

Which approach should the organization use?

AA private-cloud approach

BA multi-cloud approach

CA hybrid-cloud approach

DA public-cloud approach

Show Suggested Answer

Suggested Answer: C

The correct answer is C. A hybrid-cloud approach. Here's why:

Context of the Questio n : The organization wants to use Google Cloud's advanced machine learning capabilities while maintaining data storage on-premises due to regulatory requirements.

Google Cloud Product Relevance:

A hybrid-cloud approach combines on-premises infrastructure with cloud services. This approach allows organizations to keep sensitive data on-premises while leveraging cloud services for additional computing capabilities, such as advanced machine learning. Google Cloud offers tools like Anthos and Google Cloud's hybrid and multi-cloud solutions to facilitate this integration, enabling the organization to use cloud-based machine learning tools while keeping data in their local data center.

Why Not Other Options:

A . A private-cloud approach: This refers to a cloud environment that is entirely operated within the organization's own infrastructure, which would not provide access to Google Cloud's ML capabilities.

B . A multi-cloud approach: While multi-cloud involves using services from multiple cloud providers, it does not specifically address the requirement to keep data on-premises.

D . A public-cloud approach: This would involve moving data to the public cloud, which contradicts the requirement to keep data stored on-premises.

Google Cloud Digital Leader Reference:

Refer to Hybrid and Multi-Cloud Solutions in Google Cloud documentation to understand how Google Cloud can integrate with on-premises data centers while providing cloud services.

by Shawna at Jul 06, 2025, 03:50 AM

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Shawna

3 months ago

Multi-cloud could work too, but it complicates things.

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Aleta

3 months ago

Wait, why not just go with a private cloud?

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Nu

4 months ago

Totally agree, it balances both worlds!

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Gregoria

4 months ago

I’m not sure if hybrid is the best fit for strict regulations.

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Shakira

4 months ago

A hybrid-cloud approach makes the most sense here.

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Kristeen

4 months ago

I thought a multi-cloud approach could be useful, but if the data has to stay on-premises, it seems like that wouldn't be the right choice.

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Zona

4 months ago

I practiced a similar question, and I think the hybrid-cloud option is the way to go. It balances compliance with the need for advanced machine learning.

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Florencia

5 months ago

I'm not entirely sure, but I feel like a private-cloud approach could work too. It keeps everything in-house, but does it really leverage Google Cloud's capabilities?

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Vince

5 months ago

I remember studying about cloud models, and I think a hybrid-cloud approach might be the best fit since it allows for both on-premises and cloud resources.

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Lezlie

5 months ago

I'm feeling pretty confident about this one. The key is balancing the on-premises data storage requirement with the need for advanced ML capabilities, so a hybrid-cloud approach is likely the optimal solution.

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Dulce

5 months ago

Okay, I think I've got it. Since the data needs to be stored on-premises, a private-cloud or hybrid-cloud approach would be the best fit. The multi-cloud option doesn't seem relevant here.

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Chau

5 months ago

Hmm, I'm a bit confused. The question mentions regulations requiring on-premises data storage, so I'm not sure if a public-cloud approach would be allowed. I'll have to think this through carefully.

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Fatima

6 months ago

This seems like a straightforward question. The organization needs to keep data on-premises but also leverage Google Cloud's advanced ML capabilities, so a hybrid-cloud approach is the way to go.

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Kimbery

7 months ago

I'm just here for the free lunch. Oh, the question? Hybrid-cloud, obviously. Where else are they gonna store their... *ahem* 'sensitive' data?

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Aliza

7 months ago

Hybrid-cloud is the way to go. Gotta keep that data safe, but also get that sweet, sweet machine learning action. Best of both worlds!

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Larue

6 months ago

User 1: Hybrid-cloud is definitely the way to go.

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Frankie

7 months ago

Public cloud all the way! Who needs on-premises when you've got the power of Google at your fingertips? Might as well go all-in!

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Alpha

8 months ago

A multi-cloud approach might be overkill for this scenario. They just need to integrate on-premises with a single public cloud provider.

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Devon

8 months ago

B: Yeah, that way they can keep some data on-premises while still utilizing the advanced machine learning capabilities of the Google Cloud.

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Lindsey

8 months ago

A: I think a hybrid-cloud approach would be the best option.

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Melinda

8 months ago

That makes sense. It's a good balance between innovation and compliance.

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Amina

8 months ago

A hybrid-cloud approach allows the organization to leverage the advanced machine learning capabilities of Google Cloud while still complying with regulations by storing data on-premises.

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Lashonda

8 months ago

Why do you think that, Amina?

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Amina

8 months ago

I think the organization should use a hybrid-cloud approach.

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Cecil

9 months ago

I think the hybrid-cloud approach makes the most sense here. They can keep the sensitive data on-premises while still taking advantage of Google Cloud's advanced ML capabilities.

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Merilyn

8 months ago

C) A hybrid-cloud approach

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Carmela

8 months ago

B) A multi-cloud approach

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Carmen

8 months ago

A) A private-cloud approach

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