Free Salesforce-AI-Associate Exam Braindumps

A sales manager wants to improve their processes using AI in Salesforce? Which application of AI would be most beneficial?

1. A. Lead soring and opportunity forecasting
2. B. Sales dashboards and reporting
3. C. Data modeling and management

Correct Answer: A
“Lead scoring and opportunity forecasting are applications of AI that would be most beneficial for a sales manager who wants to improve their processes using AI in Salesforce. Lead scoring can help prioritize leads based on their likelihood to convert, while opportunity forecasting can help predict future sales or revenue based on historical data and trends. These applications of AI can help optimize sales processes by providing insights and recommendations that can increase sales efficiency and effectiveness.”

Cloud Kicks prepares a dataset for an AI model and identifies some inconsistencies in the data.
What is the most appropriate action the company should take?

1. A. Adjust the Al model to account for the data inconsistencies.
2. B. Increase the quantity of data being used for training the model
3. C. Investigate the data inconsistencies and apply data quality techniques.

Correct Answer: C
When inconsistencies in data are identified, the most appropriate action is to investigate these inconsistencies and apply data quality techniques. Adjusting the AI model to accommodate poor quality data or simply increasing the quantity of data without addressing the underlying issues does not solve the problem and can lead to less reliable AI outputs. Proper data cleaning, normalization, and validation are necessary steps to ensure that the data fed into an AI model is accurate and reliable, thus enhancing the model’s performance. Salesforce provides guidelines on how to manage and improve data quality, including practical steps for addressing data inconsistencies, detailed at Improving Data Quality in Salesforce.

Cloud Kicks wants to evaluate its data quality to ensure accurate and up-to-date records. Which type of records negatively impact data quality?

1. A. Structured
2. B. Complete
3. C. Duplicate

Correct Answer: C
Duplicate records negatively impact data quality by creating inconsistencies and confusion in database management, leading to potential errors in customer relationship management (CRM) systems like Salesforce. Duplicates can skew analytics results, lead to inefficiencies in customer service, and result in redundant marketing efforts. Salesforce offers various tools to identify and merge duplicate records, thereby maintaining high data integrity. More about managing duplicate records in Salesforce and ensuring data quality can be found in Salesforce’s documentation on duplicate management at Salesforce Duplicate Management.

How does the "right of least privilege" reduce the risk of handling sensitive personal data?

1. A. By limiting how many people have access to data
2. B. By reducing how many attributes are collected
3. C. By applying data retention policies

Correct Answer: A
“The “right of least privilege” reduces the risk of handling sensitive personal data by limiting how many people have access to data. The “right of least privilege” is a security principle that states that each user or system should have the minimum level of access or privilege necessary to perform their tasks or functions. The “right of least privilege” can help protect sensitive personal data from unauthorized access, misuse, or leakage.”

How does an organization benefit from using AI to personalize the shopping experience of online customers?

1. A. Customers are more likely to share personal information with a site that personalizes their experience.
2. B. Customers are more likely to be satisfied with their shopping experience.
3. C. Customers are more likely to visit competitor sites that personalize their experience.

Correct Answer: B
“An organization benefits from using AI to personalize the shopping experience of online customers by increasing customer satisfaction. AI can help provide customized and relevant product recommendations, offers, or content based on the customers’ preferences, behavior, or needs. AI can also help create a more engaging and interactive shopping experience by using natural language processing (NLP) or computer vision techniques. Personalized shopping experiences can improve customer satisfaction by meeting their expectations, needs, and interests.”