VCE SALESFORCE SALESFORCE-AI-ASSOCIATE DOWNLOAD, FREE SALESFORCE-AI-ASSOCIATE DOWNLOAD

Vce Salesforce Salesforce-AI-Associate Download, Free Salesforce-AI-Associate Download

Vce Salesforce Salesforce-AI-Associate Download, Free Salesforce-AI-Associate Download

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Salesforce Salesforce-AI-Associate Exam Syllabus Topics:

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

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Free Salesforce Salesforce-AI-Associate Download, Exam Salesforce-AI-Associate Review

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Salesforce Certified AI Associate Exam Sample Questions (Q68-Q73):

NEW QUESTION # 68
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

Answer: A

Explanation:
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."


NEW QUESTION # 69
Cloud Kicks wants to optimize its business operations by incorporating AI into its CRM.
What should the company do first to prepare its data for use with AI?

  • A. Remove biased data.
  • B. Determine data outcomes.
  • C. Determine data availability.

Answer: C

Explanation:
Before using AI to optimize business operations, the company should first assess the availability and quality of its data. Data is thefuel for AI, and without sufficient and relevant data, AI cannot produce accurate and reliable results. Therefore, the company should identify what data it has, where it is stored, how it is accessed, and how it is maintained. This will help the company understand the feasibility and scope of its AI projects.


NEW QUESTION # 70
A customer using Einstein Prediction Builder is confused about why a certain prediction was made.
Following Salesforce's Trusted AI Principle of Transparency, which customer information should be accessible on the Salesforce Platform?

  • A. An explanation of the prediction's rationale and a model card that describes how the model was created
  • B. An explanation of how Prediction Builder works and a link to Salesforce's Trusted AI Principles
  • C. A marketing article of the product that clearly outlines the oroduct's capabilities and features

Answer: A

Explanation:
Explanation
"An explanation of the prediction's rationale and a model card that describes how the model was created should be accessible on the Salesforce Platform following Salesforce's Trusted AI Principle of Transparency.
Transparency means that AI systems should be designed and developed with respect for clarity and openness in how they work and why they make certain decisions. Transparency also means that AI users should be able to access relevant information and documentation about the AI systems they interact with."


NEW QUESTION # 71
A financial institution plans a campaign for preapproved credit cards?
How should they implement Salesforce's Trusted AI Principle of Transparency?

  • A. Communicate how risk factors such as credit score can impact customer eligibility.
  • B. Flagsensitive variables and their proxies to prevent discriminatory lending practices.
  • C. Incorporate customer feedback into the model's continuous training.

Answer: B

Explanation:
"Flagging sensitive variables and their proxies to prevent discriminatory lending practicesis how they should implement Salesforce's Trusted AI Principle of Transparency. Transparency is one of the Trusted AI Principles that states that AI systems should be designed and developed with respect for clarity and openness in how they work and why they make certain decisions. Transparency also means that AI users should be able to access relevant information and documentation about the AI systems they interact with. Flagging sensitive variables and their proxies means identifying and marking variablesthat can potentially cause discrimination or unfair treatment based on a person's identity or characteristics, such as age, gender, race, income, or credit score. Flagging sensitive variables and their proxies can help implement Transparency by allowing users to understand and evaluate the data used or generated by AI systems."


NEW QUESTION # 72
Cloud Kicks prepares a dataset for an AI model and identifies some inconsistencies in the data.
What is the most appropriate action the company should take?

  • A. Increase the quantity of data being used for training the model
  • B. Investigate the data inconsistencies and apply data quality techniques.
  • C. Adjust the Al model to account for the data inconsistencies.

Answer: B

Explanation:
When inconsistencies in data are identified, the most appropriate action is to investigate these inconsistencies and apply data quality techniques. Adjusting the AI model to accommodate poor quality data or simply increasing the quantity of data without addressing the underlying issues does not solve the problem and can lead to less reliable AI outputs. Proper data cleaning, normalization, and validation are necessary steps to ensure that the data fed into an AI model is accurate and reliable, thus enhancing the model's performance.
Salesforce provides guidelines on how to manage and improve data quality, including practical steps for addressing data inconsistencies, detailed at Improving Data Quality in Salesforce.


NEW QUESTION # 73
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