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Salesforce-AI-Associate: Salesforce Certified AI Associate Exam Dumps & PassGuide Salesforce-AI-Associate Examen

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Salesforce Salesforce-AI-Associate Prüfungsplan:

Thema
Einzelheiten

Thema 1

AI Capabilities in CRM: Get familiar with the benefits of AI and capabilities of CRM.

Thema 2

AI Fundamentals: This topic discusses the major principles and applications of AI within Salesforce. It also focuses on different types of AI and their capabilities.

Thema 3

Ethical Considerations of AI: It delves into the ethical challenges of AI such as human bias in machine learning, lack of transparency, etc. The topic also explains how to apply the Trusted AI Principles of Salesforce to given scenarios.

Thema 4

Data for AI: Questions about the importance of data quality and different elements or components of data quality are related to this topic.

>> Salesforce-AI-Associate Originale Fragen <<

Salesforce Salesforce-AI-Associate Online Test - Salesforce-AI-Associate Online Prüfung

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Salesforce Certified AI Associate Exam Salesforce-AI-Associate Prüfungsfragen mit Lösungen (Q73-Q78):

73. Frage
What is a potential outcome of using poor-quality data in AI application?

A. AI model training becomes slower and less efficient
B. AI models become more interpretable
C. AI models may produce biased or erroneous results.

Antwort: C

Begründung:
"A potential outcome of using poor-quality data inAI applications is that AI models may produce biased or erroneous results. Poor-quality data means that the data is inaccurate, incomplete, inconsistent, irrelevant, or outdated for the AI task. Poor-quality data can affect the performance and reliabilityof AI models, as they may not have enough or correct information to learn from or make accurate predictions. Poor-quality data can also introduce or exacerbate biases or errors in AI models, such as human bias, societal bias, confirmation bias, or overfitting or underfitting."

74. Frage
What should be done to prevent bias from entering an AI system when training it?

A. Import diverse training data.
B. Use alternative assumptions.
C. Include Proxy variables.

Antwort: A

Begründung:
"Using diverse training data is what should be done to prevent bias from entering an AI system when training it. Diverse training data means that the data covers a wide range of features and patterns that are relevant for the AI task. Diversetraining data can help prevent bias by ensuring that the AI system learns from a balanced and representative sample of the target population or domain. Diverse training data can also help improve the accuracy and generalization of the AI system by capturing more variations and scenarios in the data."

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

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

Antwort: C

Begründung:
Explanation
"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."

76. Frage
How is natural language processing (NLP) used in the context of AI capabilities?

A. To understand and generate human language
B. To interpret and understand programming language
C. To cleanse and prepare data for AI implementations

Antwort: A

Begründung:
Explanation
"Natural language processing (NLP) is used in the context of AI capabilities to understand and generate human language. NLP can enable AI systems to interact with humans using natural language, such as speech or text. NLP can also enable AI systems to analyze and extract information from natural language data, such as documents, emails, or social media posts."

77. Frage
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?

A. Build a Data Management Strategy.
B. Leverage data quality apps from AppExchange
C. Build reports to expire the data quality.

Antwort: B

Begründung:
"Leveraging data quality apps from AppExchange is how data quality can be assessed. Data quality is the degree to which data is accurate, complete, consistent, relevant, and timely for the AI task. Data quality can affect the performance and reliability of AI systems, as they depend on the quality of the data they use to learnfrom and make predictions. Leveraging data quality apps from AppExchange means using third-party applications or solutions thatcan help measure, monitor, or improve data quality in Salesforce."

78. Frage
......

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