Salesforce-AI-Associate Valid Exam Syllabus & Salesforce-AI-Associate Reliable Test Test

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Salesforce Salesforce-AI-Associate Exam Syllabus Topics:

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

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Salesforce Certified AI Associate Exam Sample Questions (Q46-Q51):

NEW QUESTION # 46
Cloud Kicks wants to develop a solutionto predict customers product interests based on historical data. The company found that employees from one region use a text field to capture the product category, while employees from all other locations use a plckllst.
Which data quality dimension is affected in this scenario?

A. Accuracy
B. Completeness
C. Consistency

Answer: C

Explanation:
"Consistency is the data quality dimension that is affected in this scenario. Consistency means that the data values are uniform and follow a common standard or format acrossdifferent records, fields, or sources.
Inconsistent data can cause confusion, errors, or duplication in data analysis and processing. For example, using different field types for the same attribute can affect the consistency of the data."

NEW QUESTION # 47
Cloud Kicks wants to evaluate its data quality to ensure accurate and up-to-date records.
Which type of records negatively impact data quality?

A. Structured
B. Duplicate
C. Complete

Answer: B

Explanation:
Duplicate records negatively impact data quality by creating inconsistencies and confusion in database management, leading to potential errors in customer relationship management (CRM) systems like Salesforce. Duplicates can skew analytics results, lead to inefficiencies in customer service, and result in redundant marketing efforts. Salesforce offers various tools to identify and merge duplicate records, thereby maintaining high data integrity. More about managing duplicate records in Salesforce and ensuring data quality can be found in Salesforce's documentation on duplicate management at Salesforce Duplicate Management.

NEW QUESTION # 48
What are some key benefits of AI in improving customer experiences in CRM?

A. Fully automates the customer service experience, ensuring seamless automated interactions with customers
B. Improves CRM security protocols, safeguarding sensitive customer data from potential breaches and threats
C. Streamlines case management by categorizing and tracking customer support cases, identifying topics, and summarizing case resolutions

Answer: C

Explanation:
"Streamlining case management by categorizing and tracking customer support cases, identifying topics, and summarizing case resolutions are some key benefits of AI in improving customerexperiences in CRM. AI can help automate and optimize various aspects of customer service, such as routing cases to the right agents, providing relevant information or suggestions, and generating reports or insights. AI can also help enhance customer satisfaction and loyalty by reducing wait times, improving response quality, and providing personalized solutions."

NEW QUESTION # 49
What should organizations do to ensure data quality for their AI initiatives?

A. Rely on AI algorithms to automatically handle data quality issues.
B. Prioritizemodel fine-tuning over data quality improvements.
C. Collect and curate high-quality data from reliable sources.

Answer: C

Explanation:
"Organizations should collect and curate high-quality data from reliable sources to ensure data quality for their AI initiatives. High-quality data means that the data is accurate, complete, consistent, relevant, and timely for the AI task. Reliable sources mean that the data is trustworthy, credible, and authoritative. Collecting and curating high-quality data from reliable sources can improve the performance and reliability of AI systems."

NEW QUESTION # 50
What is a possible outcome of poor data quality?

A. AI predictions become more focused and less robust.
B. Biases in data can be inadvertently learned and amplified by AI systems.
C. AI models maintain accuracy but have slower response times.

Answer: B

Explanation:
Explanation
"A possible outcome of poor data quality is that biases in data can be inadvertently learned and amplified by AI systems. Poor data quality means that the data is inaccurate, incomplete, inconsistent, irrelevant, or outdated for the AI task. Poor data quality can affect the performance and reliability of AI systems, as they may not have enough or correct information to learn from or make accurate predictions. Poor data quality can also introduce or exacerbate biases in data, such as human bias, societal bias, or confirmation bias, which can affect the fairness and ethics of AI systems."

NEW QUESTION # 51
......

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Salesforce-AI-Associate Valid Exam Syllabus & Salesforce-AI-Associate Reliable Test Test

Salesforce Salesforce-AI-Associate Exam Syllabus Topics:

Salesforce-AI-Associate Reliable Test Test | Valid Dumps Salesforce-AI-Associate Sheet

Salesforce Certified AI Associate Exam Sample Questions (Q46-Q51):

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