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Salesforce-AI-Associate Practice Questions

Question # 1
To avoid introducing unintended bias to an AI model, which type of data should be omitted?
A. Transactional
B. Engagement
C. Demographic


C. Demographic

Explanation:
“Demographic data should be omitted to avoid introducing unintended bias to an AI model. Demographic data is data that describes the characteristics of a population or a group of people, such as age, gender, race, ethnicity, income, education, or occupation. Demographic data can lead to bias if it is used to discriminate or treat people differently based on their identity or attributes. Demographic data can also reflect existing biases or stereotypes in society or culture, which can affect the fairness and ethics of AI systems.”

Question # 2
What is a key benefit of effective interaction between humans and AI systems?
A. Leads to more informed and balanced decision making
B. Alerts humans to the presence of biased data
C. Reduces the need for human involvement


A. Leads to more informed and balanced decision making

Explanation: “A key benefit of effective interaction between humans and AI systems is that it leads to more informed and balanced decision making. Effective interaction means that humans and AI systems can communicate and collaborate with each other in a clear, natural, and respectful way. Effective interaction can help leverage the strengths and complement the weaknesses of both humans and AI systems. Effective interaction can also help increase trust, confidence, and satisfaction in using AI systems.”

Question # 3
Which best describes the difference between predictive AI and generative Al?
A. Predictive AT uses machine learning to classify or predict outputs from its input data whereas generative Al does not use machine learning to generate its output.
B. Predictive Al uses machine learning to classify or predict outputs from its input data whereas generative Al uses machine learning to generate new and original output for 4 given input
C. Predictive Al and generative Al have the same capabilities but differ in the type of input they receive; predictive AT receives raw data whereas generative AT receives natural language.


B. Predictive Al uses machine learning to classify or predict outputs from its input data whereas generative Al uses machine learning to generate new and original output for 4 given input

Explanation: Predictive AI and generative AI represent two different applications of machine learning technologies. Predictive AI focuses on making predictions based on historical data. It analyzes past data to forecast future outcomes, such as customer churn or sales trends. On the other hand, generative AI is designed to generate new and original outputs based on the learned data patterns. This includes tasks like creating new images, text, or music that resemble the training data but do not duplicate it. Both types of AI use machine learning, but their objectives and outputs are distinct. For detailed differences and applications in a Salesforce context, Salesforce's guide on AI technologies is a helpful resource, accessible at Salesforce AI Technologies.

Question # 4
A consultant conducts a series of Consequence Scanning Workshops to support testing diverse datasets. Which Salesforce Trusted AI Principle is being practiced?
A. Accountability
B. Inclusivity
C. Transparency


B. Inclusivity


Question # 5
What is an example of ethical debt?
A. Violating a data privacy law and failing to pay fines
B. Delaying an AI product launch to retrain an AI data model
C. Launching an AI feature after discovering a harmful bias


C. Launching an AI feature after discovering a harmful bias


Question # 6
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?
A. Number of variables ipn the dataset
B. Size of the dataset
C. Age of the dataset


B. Size of the dataset




Explanation:

The size of the dataset is a crucial factor that the developer should consider during selection. The size of the dataset refers to the amount or volume of data available for training an AI model. The size of the dataset can affect the feasibility and quality of the AI model, as well as the choice of AI techniques and tools. The size of the dataset should be large enough to provide sufficient information for the AI model to learn from and generalize well to new data.

Question # 7
Which features of Einstein enhance sales efficiency and effectiveness?
A. Opportunity Scoring, Lead Scoring, Account Insights
B. Opportunity List View, Lead List View, Account List view
C. Opportunity Scoring, Opportunity List View, Opportunity Dashboard


A. Opportunity Scoring, Lead Scoring, Account Insights


Question # 8
What is a key characteristic of machine learning in the context of AI capabilities?
A. Uses algorithms to learn from data and make decisions
B. Relies on preprogrammed rules to make decisions
C. Can perfectly mimic human intelligence and decision-making


A. Uses algorithms to learn from data and make decisions

Explanation: “Machine learning is a key characteristic of AI capabilities that uses algorithms to learn from data and make decisions. Machine learning is a branch of AI that enables computers to learn from data without being explicitly programmed. Machine learning algorithms can analyze data, identify patterns, and make predictions or recommendations based on the data.”

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Salesforce Salesforce-AI-Associate Exam Dumps

Exam Name: Salesforce Certified AI Associate Exam (SU24)
Certification Name: AI Associate

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  • Total Questions: 101
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