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Salesforce AI Associate Exam - Topic 1 Question 45 Discussion

Cloud kicks wants to decrease the workload for its customer care agents by implementing a chatbot on its website that partially deflects incoming cases by answering frequency asked questionsWhich field of AI is most suitable for this scenario?
A) Natural language processing
B) Computer vision
C) Predictive analytics

Salesforce AI Associate Exam - Topic 1 Question 45 Discussion

Actual exam question for Salesforce's Salesforce AI Associate exam
Question #: 45
Topic #: 1
[All Salesforce AI Associate Questions]

Cloud kicks wants to decrease the workload for its customer care agents by implementing a chatbot on its website that partially deflects incoming cases by answering frequency asked questions

Which field of AI is most suitable for this scenario?

Show Suggested Answer Hide Answer
Suggested Answer: A

''Natural language processing is the field of AI that is most suitable for this scenario. Natural language processing (NLP) is a branch of AI that enables computers to understand and generate natural language, such as speech or text. NLP can be used to create conversational interfaces that can interact with users using natural language, such as chatbots. Chatbots can help automate and streamline customer service processes by providing answers, suggestions, or actions based on the user's intent and context.''


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Torie
9 months ago
I thought predictive analytics could help too, but maybe not for FAQs?
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Allene
9 months ago
B and C don't even make sense here, it's all about A!
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Kenny
9 months ago
I agree, A is the way to go!
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Stephaine
9 months ago
Wait, can a chatbot really handle all FAQs effectively?
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Shayne
10 months ago
Definitely A, natural language processing is key for chatbots!
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Han
10 months ago
I guess it could be A, but I wonder if there's any part of computer vision that could apply? Maybe I’m overthinking it.
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Melynda
10 months ago
Definitely leaning towards A as well. We practiced a similar question about chatbots in class, and it was all about language understanding.
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Louvenia
10 months ago
I'm not entirely sure, but I remember something about predictive analytics being used for customer insights. Is that relevant here?
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Sheridan
10 months ago
I think the answer might be A, natural language processing, since the chatbot needs to understand and respond to customer inquiries.
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Delsie
11 months ago
I'm a bit confused by this question. While natural language processing seems like the obvious choice, I'm wondering if there could be some element of computer vision involved, like analyzing customer images or documents. I'll have to carefully consider all the options before making a decision.
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Maryann
11 months ago
Natural language processing is definitely the way to go here. The key is being able to understand and respond to the natural language queries from customers. Computer vision and predictive analytics don't seem as relevant for this specific scenario.
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Alex
11 months ago
Hmm, I'm a bit unsure about this one. The question mentions deflecting incoming cases, so I'm wondering if predictive analytics could also be relevant to anticipate common issues. I might need to think this through a bit more.
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Val
11 months ago
This seems like a straightforward question. A chatbot that answers frequently asked questions is clearly a natural language processing task, so I'll go with option A.
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Erin
1 year ago
I believe Predictive analytics could also be useful in analyzing customer behavior and predicting their needs.
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Stephanie
1 year ago
I agree with Ernest. Natural language processing can help the chatbot understand and respond to customer queries effectively.
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Leonor
1 year ago
If the chatbot can't understand my sarcasm, I'm not impressed. Where's the option for 'Witty Comebacks 101'?
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Carylon
12 months ago
A) Natural language processing
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Ernest
1 year ago
I think the most suitable field of AI for this scenario is Natural language processing.
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Peggy
1 year ago
I bet the developers are going to use a combination of NLP and machine learning to make this chatbot as helpful as possible. Gotta love that artificial intelligence!
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Joesph
1 year ago
Predictive analytics? Really? Unless the chatbot can see into the future, I don't think that's the way to go.
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Geraldine
12 months ago
Computer vision is more about processing visual information, which is not relevant for a chatbot interacting through text.
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Tommy
12 months ago
Predictive analytics can help anticipate customer needs and personalize responses, but it's not the main focus for a chatbot.
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Natalie
1 year ago
Natural language processing is the best option for a chatbot to understand and respond to customer queries.
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Alfred
1 year ago
C) Predictive analytics
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Thaddeus
1 year ago
B) Computer vision
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Franchesca
1 year ago
A) Natural language processing
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Isreal
1 year ago
I don't know, computer vision could be useful too. Maybe the chatbot could analyze images of the customer's issue and provide relevant information.
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Miriam
12 months ago
B) Computer vision
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Desire
1 year ago
A) Natural language processing
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Tricia
1 year ago
Natural language processing seems like the obvious choice here. Chatbots are all about understanding and responding to human language.
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Freeman
1 year ago
I don't think predictive analytics would be as helpful in this scenario.
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Anissa
1 year ago
C) Predictive analytics
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Velda
1 year ago
That makes sense. NLP is all about understanding human language.
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Thurman
1 year ago
A) Natural language processing
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