Google Cloud Digital Leader Exam - Topic 2 Question 47 Discussion

Actual exam question for Google's Cloud Digital Leader exam

Question #: 47
Topic #: 2

An organization wants to build custom machine learning models They require a managed platform that provides services to gather data build models and then deploy and monitor those models Which service should they use?

ADocument Al

BNatural Language API

CKubernetes Engine

DVertex Al

Show Suggested Answer

Suggested Answer: A

by Maile at Mar 08, 2024, 06:17 AM

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Kris

3 months ago

I agree, Vertex AI has all the features needed!

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Sabina

3 months ago

Natural Language API seems too limited for this task.

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Alease

4 months ago

Wait, are we sure Vertex AI is the best choice?

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Sharita

4 months ago

I think Kubernetes Engine could work too, but not as streamlined.

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Timothy

4 months ago

Definitely Vertex AI for that!

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Nathan

4 months ago

I feel like Document AI and Natural Language API are more focused on specific tasks rather than a full ML lifecycle.

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Yolande

4 months ago

I’m a bit confused; I thought Kubernetes Engine was for container orchestration, not specifically for ML.

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Lettie

5 months ago

I remember practicing a question about managed ML platforms, and Vertex AI was mentioned as a comprehensive solution.

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Merilyn

5 months ago

I think Vertex AI might be the right choice since it’s designed for building and managing ML models, but I’m not completely sure.

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Gilbert

5 months ago

Vertex AI seems like the obvious choice here. It's a fully managed machine learning platform that handles the entire model lifecycle, from data ingestion to deployment and monitoring.

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Sage

5 months ago

Hmm, I'm a bit unsure about this one. The question mentions a "managed platform" for data gathering, model building, and deployment, but I'm not sure which of these options best fits that description.

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In

5 months ago

This looks like a straightforward question about machine learning services. I'll need to carefully read the details to identify the service that provides the full lifecycle management capabilities described.

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Luis

5 months ago

I'm leaning towards Kubernetes Engine. While it doesn't provide the full managed ML lifecycle, it could be used to build and deploy custom machine learning models, which is what the question is asking for.

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Amber

5 months ago

I'm pretty sure this is a CPM pricing model, where you pay per 1,000 impressions. That seems like the most common approach for promoted tweets.

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Augustine

5 months ago

Okay, let me walk through this step-by-step. The future value is $3,567,000, the rate of return is 5%, and the number of periods is 6 years. I'll plug those values into the formula and see what I get.

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Sommer

5 months ago

I'm feeling pretty confident about this one. The steps in option C look like the right approach to me - failover the traffic-groups, relicense the host, and then update the guests.

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Bethanie

10 months ago

As a machine learning enthusiast, I'm voting for D) Vertex AI. It's like the Swiss Army knife of ML services - data, models, deployment, all in one place. Beats trying to build your own Franken-infrastructure.

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Zona

8 months ago

True, having data, models, deployment, and monitoring all in one platform like Vertex AI is definitely a time-saver.

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Lemuel

8 months ago

But D) Vertex AI seems to offer everything in one package, making it a convenient choice.

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Myra

8 months ago

I think C) Kubernetes Engine could also be a good option for managing and deploying models.

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Melynda

9 months ago

I agree, D) Vertex AI is the way to go for a comprehensive ML platform.

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Penney

10 months ago

D) Vertex AI all the way! Although I have to say, I'm a bit disappointed they didn't include an option for 'Skynet: The Sentient AI Overlord'.

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Albina

8 months ago

D) Vertex AI

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Leota

9 months ago

C) Kubernetes Engine

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Lemuel

9 months ago

B) Natural Language API

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Arlene

9 months ago

A) Document AI

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Lura

10 months ago

Hmm, I was debating between B) Natural Language API and D) Vertex AI, but Vertex AI sounds like it has the full suite of services the organization is looking for. Can't go wrong with the managed platform approach.

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Evangelina

9 months ago

Natural Language API is good, but Vertex AI seems to provide a more complete solution for the organization's needs.

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Vi

9 months ago

I agree, Vertex AI seems like the best choice for a managed platform with comprehensive services.

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Rosalind

10 months ago

I think Vertex AI is the way to go. It offers all the services needed for building and deploying machine learning models.

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Adelina

11 months ago

I was thinking C) Kubernetes Engine, but then I realized that's more for container orchestration, not specifically ML services. Vertex AI is the way to go.

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Marge

9 months ago

Yeah, Kubernetes Engine is more for container orchestration. Vertex AI is specifically designed for ML services.

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Leanora

10 months ago

I think D) Vertex AI is the best option for building custom machine learning models.

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Fannie

11 months ago

D) Vertex AI seems like the right choice here. It's a managed platform for building, deploying, and monitoring ML models, which is exactly what the organization needs.

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