AI Associate set 2

AI Associate set 2

Professional Development

40 Qs

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AI Associate set 2

AI Associate set 2

Assessment

Quiz

Computers

Professional Development

Practice Problem

Easy

Created by

Alison Verissimo

Used 6+ times

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40 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

5 mins • 1 pt

Why is it critical to consider privacy concerns when dealing with AI and CRM data?

Confirm data is accessible to all users

Ensure compliance with laws and regulations

Increase the volume of data collected

2.

MULTIPLE CHOICE QUESTION

5 mins • 1 pt

What is a key consideration regarding data quality in AI implementations?

Data's role in training and fine-tuning Salesforce AI models

Integration process of AI models with Salesforce workflows

Techniques for customizing AI features in Salesforce

3.

MULTIPLE CHOICE QUESTION

5 mins • 1 pt

Cloud Kicks wants to use AI to enhance its sales processes and customer support. Which capability should they use?

Einstein Lead Scoring and Case Classification

Sales Bot and Automated Case Escalation

Dashboard of Current Leads and Cases

4.

MULTIPLE CHOICE QUESTION

5 mins • 1 pt

What is machine learning?

A data model used in Salesforce

A chat that creates new client

AI that can grow its intelligence

5.

MULTIPLE CHOICE QUESTION

5 mins • 1 pt

What is the most likely impact that high-quality data will have on customer relationships?

Increased brand loyalty

Improved customer trust and satisfaction

Higher customer acquisition costs

6.

MULTIPLE CHOICE QUESTION

5 mins • 1 pt

A business analyst (BA) wants to improve business by enhancing their sales processes and customer support. Which AI applications should the BA use to meet their needs?

Sales data cleaning and customer support data governance

Lead scoring, opportunity forecasting, and case classification

Hazard learning models and chatbot predictions

7.

MULTIPLE CHOICE QUESTION

5 mins • 1 pt

What is an example of ethical debt?

Violating a data privacy law and failing to pay fines

Launching an AI feature after discovering a harmful bias

Delaying an AI product launch to retrain an AI data model

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