Salesforce-AI-Associate Fragen Und Antworten & Salesforce-AI-Associate Schulungsangebot

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Salesforce Salesforce-AI-Associate Prüfungsplan:

Thema	Einzelheiten
Thema 1	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 2	Data for AI: Questions about the importance of data quality and different elements or components of data quality are related to this topic.
Thema 3	AI Capabilities in CRM: Get familiar with the benefits of AI and capabilities of CRM.
Thema 4	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.

>> Salesforce-AI-Associate Fragen Und Antworten <<

Salesforce-AI-Associate Schulungsangebot & Salesforce-AI-Associate Simulationsfragen

Jetzt ist die Salesforce Salesforce-AI-Associate Zertifizierungsprüfung die beliebteste Zertifizierungsprüfung, an der viele IT-Fachleute beteiligen wollen. Dies ist ein Beweis für die IT-Fähigkeiten. Um die Prüfung zu bestehen sind umfangreiche Fachkenntnisse und Erfahrungen erfordert. Und das braucht doch viel Zeit. Vielleicht wählen Sie Ausbildungskurse oder Prüfungsmaterialien. Es ist eher kostengünstig, ein Ausbildungsinstitut von guter Qualität zu wählen. ZertSoft ist eine Website, die die Bedürfnisse der IT-Fachleute zur Salesforce Salesforce-AI-Associate Zertifizierungsprüfung abdecken können. Die Produkte von ZertSoft sind ziegerichtete Ausbildung zur Salesforce Salesforce-AI-Associate Zertifizierungsprüfung. Sie können in kurzer Zeit ihre IT-Fachkenntnisse ergänzen und sich gut auf die Salesforce Salesforce-AI-Associate Zertifizierungsprüfung vorbereiten.

Salesforce Certified AI Associate Exam Salesforce-AI-Associate Prüfungsfragen mit Lösungen (Q85-Q90):

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

Antwort: A

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."

86. Frage
What is the most likely impact that high-quality data will have on customer relationships?

A. Increased brand loyalty
B. Improved customer trust and satisfaction
C. Higher customer acquisition costs

Antwort: B

Begründung:
Explanation
"The most likely impact that high-quality data will have on customer relationships is improved customer trust and satisfaction. High-quality data means that the data is accurate, complete, consistent, relevant, and timely for the AI task. High-quality data can improve customer relationships by enabling AI systems to provide personalized and relevant products, services, or solutions that meet the customers' expectations, needs, and interests. High-quality data can also improve customer trust and satisfaction by reducing errors, delays, or waste in customer interactions."

87. Frage
What is a Key consideration regarding data quality in AI implementation?

A. Techniques from customizing AI features in Salesforce
B. Integration process of AI models with Salesforce workflows
C. Data's role in training and fine-tuning Salesforce AI models

Antwort: C

Begründung:
"Data's role in training and fine-tuning Salesforce AI models is a key consideration regarding data quality in AI implementation. 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 learn from and make predictions. Data's role in training and fine-tuning Salesforce AI models means understanding how data is used to build, train, test, and improve AI models in Salesforce, such as Einstein Prediction Builder or Einstein Discovery."

88. Frage
What is a key challenge of human AI collaboration in decision-making?

A. Creates a reliance on AI, potentially leading to less critical thinking and oversight
B. Reduce the need for human involvement in decision-making processes
C. Leads to move informed and balanced decision-making

Antwort: A

Begründung:
"A key challenge of human-AI collaboration in decision-making is that it creates a reliance on AI, potentially leading to less critical thinking and oversight. Human-AI collaboration is a process that involves humans and AI systems working together to achieve a common goal or task. Human-AI collaboration can have many benefits, such as leveraging the strengths and complementing the weaknesses of both humans and AI systems.
However, human-AI collaboration can also pose some challenges, such as creating a reliance on AI, potentially leading to less critical thinking and oversight. For example, human-AI collaboration can create a reliance on AI if humans blindly trust or follow the AI recommendations without questioning or verifying their validity or rationale."

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

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

Antwort: A

Begründung:
Explanation
"A potential outcome of using poor-quality data in AI 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 reliability of 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."

90. Frage
......

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Salesforce-AI-Associate Fragen Und Antworten & Salesforce-AI-Associate Schulungsangebot

Salesforce Salesforce-AI-Associate Prüfungsplan:

Salesforce-AI-Associate Schulungsangebot & Salesforce-AI-Associate Simulationsfragen

Salesforce Certified AI Associate Exam Salesforce-AI-Associate Prüfungsfragen mit Lösungen (Q85-Q90):

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