IBM Exam C1000-101 Topic 10 Question 52 Discussion

Actual exam question for IBM's C1000-101 exam

Question #: 52
Topic #: 10

A client needs to rapidly develop a chat-based support desk application for their internal employees that runs on the IBM Cloud. What is an appropriate service to meet this requirement?

AIBM Voice Agent with Watson

BIBM Watson Assistant

CIBM Watson Natural Language Understanding

DIBM Watson Studio

Show Suggested Answer

Suggested Answer: B

by Tyisha at Apr 29, 2024, 07:12 PM

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Melvin

1 months ago

IBM Watson Assistant is the way to go! It's like having a virtual assistant that never takes a coffee break.

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Celestine

16 days ago

A: It's like having a virtual assistant that never takes a coffee break.

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Rosamond

24 days ago

B: I agree, it's perfect for developing a chat-based support desk application.

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Delpha

28 days ago

A: IBM Watson Assistant is definitely the best choice for that.

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Thea

1 months ago

IBM Watson Studio is great for data science and machine learning, but it's overkill for a simple chat-based support desk app.

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Vincent

10 days ago

A) IBM Voice Agent with Watson

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Willie

1 months ago

IBM Watson Natural Language Understanding could be useful, but it's more of an underlying component than a complete solution for this use case.

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Shanice

2 months ago

I'm not sure, but I think option A) IBM Voice Agent with Watson could also be a good choice for this scenario.

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Stephaine

2 months ago

I agree with Evan. IBM Watson Assistant is specifically designed for building chat-based applications.

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Micaela

2 months ago

I'm not sure IBM Voice Agent with Watson is the best choice here since the requirement is for a chat-based support desk, not a voice-based one.

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Annelle

1 months ago

B) IBM Watson Natural Language Understanding

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Nieves

1 months ago

A) IBM Watson Assistant

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Evan

2 months ago

I think option B) IBM Watson Assistant would be the best choice for this requirement.

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Queenie

2 months ago

IBM Watson Assistant seems like the perfect fit for this requirement. It can quickly build and deploy a conversational interface without the need for extensive AI development.

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