NO.15 How does a data quality assessment impact business outcome for companies using AI?

NO.16 Cloud Kicks relies on data analysis to optimize its product recommendation; however, CK encounters a recurring Issue of Incomplete customer records, with missing contact Information and incomplete purchase histories.
How will this incomplete data quality impact the company’s operations?

NO.17 A system admin recognizes the need to put a data management strategy in place.
What is a key component of data management strategy?

NO.18 A consultant conducts a series of Consequence Scanning workshops to support testing diverse datasets.
Which Salesforce Trusted AI Principles is being practiced>

NO.19 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?

NO.20 Cloud Kicks wants to develop a solution to predict customers product interests based on historical data. The company found that employees from one region use a text field to capture the product category, while employees from all other locations use a plckllst.
Which data quality dimension is affected in this scenario?

NO.21 How is natural language processing (NLP) used in the context of AI capabilities?

NO.22 A healthcare company implements an algorithm to analyze patient data and assist in medical diagnosis.
Which primary role does data Quality play In this AI application?

NO.23 Cloud Kicks implements a new product recommendation feature for its shoppers that recommends shoes of a given color to display to customers based on the color of the products from their purchase history.
Which type of bias is most likely to be encountered in this scenario?

NO.24 Cloud Kicks wants to use Einstein Prediction Builder to determine a customer’s likelihood of buying specific products; however, data quality is a…
How can data quality be assessed quality?

NO.25 Which type of bias results from data being labeled according to stereotypes?

NO.26 What are the key components of the data quality standard?

NO.27 What are the three commonly used examples of AI in CRM?

NO.28 What is an example of Salesforce’s Trusted AI Principle of Inclusivity in practice?

NO.29 Cloud Kicks wants to ensure that multiple records for the same customer are removed in Salesforce.
Which feature should be used to accomplish this?

NO.30 What is a key characteristic of machine learning in the context of AI capabilities?

NO.31 What is a potential source of bias in training data for AI models?

NO.32 A sales manager wants to improve their processes using AI in Salesforce?
Which application of AI would be most beneficial?

NO.33 Cloud Kicks learns of complaints from customers who are receiving too many sales calls and emails.
Which data quality dimension should be assessed to reduce these communication Inefficiencies?

NO.34 A developer is tasked with selecting a suitable dataset for training an AI model in Salesforce to accurately predict current customer behavior.
What Is a crucial factor that the developer should consider during selection?

NO.35 What role does data quality play in the ethical us of AI applications?

NO.36 What should organizations do to ensure data quality for their AI initiatives?

NO.37 A marketing manager wants to use AI to better engage their customers.
Which functionality provides the best solution?