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Exam Code:
Salesforce-AI-Associate
Exam Name:
Salesforce Certified AI Associate Exam (SP24)
Last Update: Jun 21, 2024
101 Questions with Explanation
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Salesforce Certified AI Associate Exam (SP24) Practice Questions

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Salesforce-AI-Associate FAQs

Yes, the exam introduces new machine learning concepts, focusing on advanced algorithms, predictive analytics, and intelligent data processing within the Salesforce ecosystem. It emphasizes the latest developments in machine learning as applied to customer relationship management and decision-making processes.

Data analytics proficiency is crucial for this exam. It demands an understanding of analyzing customer data, deriving insights, and applying these to Salesforce solutions. Mastery in data interpretation and decision-making based on analytics significantly impacts performance in the exam.

The Salesforce AI Associate Exam focuses on key technologies such as Salesforce Einstein, machine learning algorithms, predictive analytics, and AI-driven CRM strategies. It emphasizes understanding these technologies for enhancing customer engagement and personalizing user experiences within the Salesforce platform.

This Salesforce certification introduces new machine learning principles, particularly in the context of Salesforce's Einstein AI. It covers advanced analytical methods, predictive modeling techniques, and the application of these principles to enhance user experiences and decision-making processes within Salesforce.

The integration of intelligent technology with Salesforce CRM is covered by demonstrating how Salesforce Einstein and other AI tools enhance CRM functionalities. It includes automating tasks, personalizing customer interactions, and providing predictive insights to drive more informed business decisions.

The impact of intelligent technologies on sales and marketing strategies is tested by assessing how AI tools like Salesforce Einstein can optimize customer journeys, personalize marketing campaigns, forecast sales trends, and enhance lead generation and conversion rates within the Salesforce platform.

Yes, intelligent customer service tools, including automated chat systems, are included in the exam. It assesses knowledge of implementing and managing AI-powered chatbots and support systems within Salesforce, focusing on enhancing customer experience and streamlining service operations.

The exam covers the generation and interpretation of intelligent insights by testing abilities to utilize Salesforce Einstein for analyzing data patterns, predicting customer behaviors, and extracting actionable insights. It focuses on applying these insights to refine strategies and improve decision-making processes within Salesforce.

Yes, the exam requires knowledge of integrating external intelligent systems with Salesforce. It focuses on connecting third-party AI tools and platforms, ensuring seamless data flow and enhanced functionality within Salesforce, and leveraging external intelligence for improved CRM strategies and customer insights.

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Salesforce Certified AI Associate Exam (SP24) Questions and Answers

Questions 1

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

Options:

A.

The data is collected in area time from sources systems.

B.

The data is skewed toward is particular demographic or source.

C.

The data is collected from a diverse range of sources and demographics.

Questions 2

Cloud Kicks is testing a new AI model.

Which approach aligns with Salesforce's Trusted AI Principle of Incluslvity?

Options:

A.

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

B.

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

C.

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

Questions 3

What is the key difference between generative and predictive AI?

Options:

A.

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

B.

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

C.

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