Feb 18, 2025 Salesforce-AI-Associate Exam Crack Test Engine Dumps Training With 104 Questions [Q28-Q44]

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Feb 18, 2025 Salesforce-AI-Associate Exam Crack Test Engine Dumps Training With 104 Questions [Q28-Q44]

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Feb 18, 2025 Salesforce-AI-Associate Exam Crack Test Engine Dumps Training With 104 Questions

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Salesforce Salesforce-AI-Associate Exam Syllabus Topics:

Thema	Einzelheiten
Thema 1	AI Capabilities in CRM: Get familiar with the benefits of AI and capabilities of CRM.
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 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 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 Trusted AI Principles of Salesforce to given scenarios.

Q28. 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?

Build a Data Management Strategy.

Build reports to expire the data quality.

Leverage data quality apps from AppExchange

Q29. What should an organization do to enforce consistency across accounts for newly entered records?

Merge all duplicate accounts into a single record when duplicate entries are detected.

Input the data exactly as it appears from the source, such as the company’s website or social media,

Implement naming conventions or a predefined list of user-selectable values for organization-wide records.

Q30. What is the significance of explainability of trusted AI systems?

Increases the complexity of AI models

Enhances the security and accuracy of AI models

Describes how Al models make decisions

Q31. Cloud Kicks is testing a new AI model.
Which approach aligns with Salesforce’s Trusted AI Principle of Incluslvity?

Test only with data from a specific region or demographic to limit the risk of data leaks.

Rely on a development team with uniform backgrounds to assess the potential societal implications of the model.

Test with diverse and representative datasets appropriate for how the model will be used.

Q32. How does AI which CRM help sales representatives better understand previous customer interactions?

Creates, localizes, and translates product descriptions

Triggers personalized service replies

Provides call summaries

Q33. 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?

Number of variables ipn the dataset

Size of the dataset

Age of the dataset

Q34. What is the key difference between generative and predictive AI?

Generative AI creates new content based on existing data and predictive AI analyzes existing data.

Generative AI finds content similar to existing data and predictive AI analyzes existing data.

Generative AI analyzes existing data and predictive AI creates new content based on existing data.

Q35. Which type of bias imposes a system ‘s values on others?

Societal

Automatisierung

Verein

Q36. What are some key benefits of AI in improving customer experiences in CRM?

Improves CRM security protocols, safeguarding sensitive customer data from potential breaches and threats

Streamlines case management by categorizing and tracking customer support cases, identifying topics, and summarizing case resolutions

Fully automates the customer service experience, ensuring seamless automated interactions with customers

Q37. What are the key components of the data quality standard?

Naming, formatting, Monitoring

Accuracy, Completeness, Consistency

Reviewing, Updating, Archiving

Q38. Cloud Kicks relies on data analysis to optimize its product recommendation; however, CK encounters a recurring Issue of Incomplete customer records, withmissing contact Information and incomplete purchase histories.
How will this incomplete data quality impact the company’s operations?

The response time for product recommendations is stalled.

The accuracy of product recommendations is hindered.

The diversity of product recommendations Is Improved.

Q39. What is a key characteristic of machine learning in the context of AI capabilities?

Uses algorithms to learn from data and make decisions

Relies on preprogrammed rules to make decisions

Can perfectly mimic human intelligence and decision-making

Q40. Cloud Kicks wants to use AI to enhance its sales processesand customer support.
Which capacity should they use?

Dashboard of Current Leads and Cases

Sales path and Automaton Case Escalations

Einstein Lead Scoring and Case Classification

Q41. What is a societal implication of excluding ethics in AI development?