DUMPS
BASE
EXAM DUMPS
SALESFORCE
SALESFORCE AI
ASSOCIATE
28% OFF Automatically For You
Salesforce Certified AI Associate Exam (SU23) Latest Salesforce AI Associate Exam Dumps (V8.02) - Prepare with All Salesforce AI Associate Questions for Passing 1.What is a benefit of a diverse, balanced, and large dataset?
A. Training time
B. Data privacy
C. Model accuracy
Answer: C
Explanation:
“Model accuracy is a benefit of a diverse, balanced, and large dataset. A diverse
dataset can capture a variety of features and patterns that are relevant for the AI task.
A balanced dataset can avoid overfitting or underfitting the model to a specific subset
of data. A large dataset can provide enough information for the model to learn from
and generalize well to new data.”
2.What are the three commonly used examples of AI in CRM?
A. Predictive scoring, reporting, Image classification
B. Predictive scoring, forecasting, recommendations
C. Einstein Bots, face recognition, recommendations
Answer: B
Explanation:
“Predictive scoring, forecasting, and recommendations are three commonly used
examples of AI in CRM. Predictive scoring can help prioritize leads, opportunities, and
customers based on their likelihood to convert, churn, or buy. Forecasting can help
predict future sales, revenue, or demand based on historical data and trends.
Recommendations can help suggest the best products, services, or actions for each
customer based on their preferences, behavior, and needs.”
3.Cloud Kicks wants to optimize its business operations by incorporating AI into its
CRM.
What should the company do first to prepare its data for use with AI?
A. Remove biased data.
B. Determine data availability.
C. Determine data outcomes.
Answer: B
Explanation:
Before using AI to optimize business operations, the company should first assess the
availability and quality of its data. Data is the fuel for AI, and without sufficient and
relevant data, AI cannot produce accurate and reliable results. Therefore, the
company should identify what data it has, where it is stored, how it is accessed, and
how it is maintained. This will help the company understand the feasibility and scope
of its AI projects.
BASE
EXAM DUMPS
SALESFORCE
SALESFORCE AI
ASSOCIATE
28% OFF Automatically For You
Salesforce Certified AI Associate Exam (SU23) Latest Salesforce AI Associate Exam Dumps (V8.02) - Prepare with All Salesforce AI Associate Questions for Passing 1.What is a benefit of a diverse, balanced, and large dataset?
A. Training time
B. Data privacy
C. Model accuracy
Answer: C
Explanation:
“Model accuracy is a benefit of a diverse, balanced, and large dataset. A diverse
dataset can capture a variety of features and patterns that are relevant for the AI task.
A balanced dataset can avoid overfitting or underfitting the model to a specific subset
of data. A large dataset can provide enough information for the model to learn from
and generalize well to new data.”
2.What are the three commonly used examples of AI in CRM?
A. Predictive scoring, reporting, Image classification
B. Predictive scoring, forecasting, recommendations
C. Einstein Bots, face recognition, recommendations
Answer: B
Explanation:
“Predictive scoring, forecasting, and recommendations are three commonly used
examples of AI in CRM. Predictive scoring can help prioritize leads, opportunities, and
customers based on their likelihood to convert, churn, or buy. Forecasting can help
predict future sales, revenue, or demand based on historical data and trends.
Recommendations can help suggest the best products, services, or actions for each
customer based on their preferences, behavior, and needs.”
3.Cloud Kicks wants to optimize its business operations by incorporating AI into its
CRM.
What should the company do first to prepare its data for use with AI?
A. Remove biased data.
B. Determine data availability.
C. Determine data outcomes.
Answer: B
Explanation:
Before using AI to optimize business operations, the company should first assess the
availability and quality of its data. Data is the fuel for AI, and without sufficient and
relevant data, AI cannot produce accurate and reliable results. Therefore, the
company should identify what data it has, where it is stored, how it is accessed, and
how it is maintained. This will help the company understand the feasibility and scope
of its AI projects.
