Salesforce AI Associate Exam Set 2

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 frequently asked questions. Which field of Al is most suitable for this scenario?

What is an example of Salesforce's Trusted Al Principle of Inclusivity in practice?

How is natural language processing (NLP) used in the context of Al capabilities?

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

What is a benefit of data quality and transparency as it pertains to bias in generative Al?

Salesforce defines bias as using a person's immutable traits to classify them or market to them. Which potentially sensitive attribute is an example of an immutable trait?

What is the significance of explainability of trusted Al systems?

What is a potential source of bias in training data for Al models?

What are the potential consequences of an organization suffering from poor data quality?

Which best describes the difference between predictive Al and generative Al?

What should organizations do to ensure data quality for their Al initiatives?

What is a potential outcome of using poor-quality data in Al applications?

A sales manager is looking to enhance the quality of lead data in their CRM system. Which process will most likely help the team accomplish this goal?

What is an implication of user consent in regard to Al data privacy?

A business analyst (BA) is preparing a new use case for Al. They run a report to check for null values in the attributes they plan to use. Which data quality component is the BA verifying by checking for null values?

What is a key challenge of human-Al collaboration in decision-making?

What is one technique to mitigate bias and ensure fairness in Al applications?

Cloud Kicks plans to use automated chat as its primary support channel. Which Einstein feature should they use?

Cloud Kicks wants to use Einstein Prediction Builder to determine a customer's likelihood of buying specific products; however, data quality is a concern. How can data quality be assessed quickly?

What is a benefit of a diverse, balanced, and large dataset?

What is the best method to safeguard customer data privacy?

A developer has a large amount of data, but it is scattered across different systems and is not standardized. Which key data quality element should they focus on to ensure the effectiveness of the Al models?

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

In the context of Salesforce's Trusted Al Principles, what does the principle of Empowerment primarily aim to achieve?

What is the main focus of the Accountability principle in Salesforce's Trusted Al Principles?

What is a sensitive variable that can lead to bias?

What does the term 'data completeness' refer to in the context of data quality?

Which type of Al can enhance customer service agents' email responses by analyzing the written content of previous emails?

What are some of the ethical challenges associated with Al development?

What are the three commonly used examples of Al in CRM?

How does a data quality assessment impact business outcomes for companies using AI?

A Salesforce administrator creates a new field to capture an order's destination country. Which field type should they use to ensure data quality?

Cloud Kicks wants to optimize its business operations by incorporating Al into its CRM. What should the company do first to prepare its data for use with Al?

What are predictive analytics, machine learning, natural language processing (NLP), and computer vision?

Cloud Kicks' latest email campaign is struggling to attract new customers. How can Al increase the company's customer email engagement?

Cloud Kicks discovered multiple variations of state and country values in contact records. Which data quality dimension is affected by this issue?

Which statement exemplifies Salesforce's honesty guideline when training Al models?

In the context of Salesforce's Trusted Al Principles, what does the principle of Responsibility primarily focus on?

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

A consultant conducts a series of Consequence Scanning Workshops to support testing diverse datasets. Which Salesforce Trusted Al Principle is being practiced?