Doug Clark Doug Clark's Profile Page

Doug Clark Doug Clark

0 Course Enrolled • 0 Course Completed

Biography

Exam Salesforce-AI-Associate Review, Visual Salesforce-AI-Associate Cert Test

2025 Latest BraindumpsPrep Salesforce-AI-Associate PDF Dumps and Salesforce-AI-Associate Exam Engine Free Share: https://drive.google.com/open?id=1kNJiwhYlGY2yE77Ou3HC0erWbPQn4dwa

The Salesforce-AI-Associate exam questions are the perfect form of a complete set of teaching material, teaching outline will outline all the knowledge points covered, comprehensive and no dead angle for the Salesforce-AI-Associate candidates presents the proposition scope and trend of each year, truly enemy and know yourself, and fight. Only know the outline of the Salesforce-AI-Associate Exam, can better comprehensive review, in the encounter with the new and novel examination questions will not be confused, interrupt the thinking of users.

Salesforce Salesforce-AI-Associate Exam Syllabus Topics:

Topic
Details

Topic 1

Data for AI: Questions about the importance of data quality and different elements or components of data quality are related to this topic.

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 the Trusted AI Principles of Salesforce to given scenarios.

Topic 3

AI Capabilities in CRM: Get familiar with the benefits of AI and capabilities of CRM.

Topic 4

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.

>> Exam Salesforce-AI-Associate Review <<

Visual Salesforce Salesforce-AI-Associate Cert Test | Reliable Salesforce-AI-Associate Exam Simulator

Individuals who pass the Salesforce Certified AI Associate Exam (Salesforce-AI-Associate) certification exam demonstrate to their employers and clients that they have the knowledge and skills necessary to succeed in the industry. BraindumpsPrep is aware that preparing with outdated Salesforce Certified AI Associate Exam (Salesforce-AI-Associate) study material results in a loss of time and money.

Salesforce Certified AI Associate Exam Sample Questions (Q51-Q56):

NEW QUESTION # 51
Which action should be taken to develop and implement trusted generated AI with Salesforce's safety guideline in mind?

A. Develop right-sized models to reduce our carbon footprint.
B. Be transparent when AI has created and automatically delivered content.
C. Create guardrails that mitigates toxicity and protect PII

Answer: C

Explanation:
"Creating guardrails that mitigate toxicity and protect PII is an action that should be taken to develop and implement trusted generativeAI with Salesforce's safety guideline in mind. Salesforce's safety guideline is one of the Trusted AI Principles that states that AI systems should be designed and developed with respect for the safety and well-being of humans and the environment. Creatingguardrails means implementing measures or mechanisms that can prevent or limit the potential harm or risk caused by AI systems. For example, creating guardrails can help mitigate toxicity by filtering out inappropriate or offensive content generated by AIsystems. Creating guardrails can also help protect PII by masking or anonymizing personal or sensitive information generated by AI systems."

NEW QUESTION # 52
What is a Key consideration regarding data quality in AI implementation?

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

Answer: B

Explanation:
Explanation
"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."

NEW QUESTION # 53
Why is it critical to consider privacy concerns when dealing with AI and CRM data?

A. Increases the volume of data collected
B. Ensures compliance with laws and regulations
C. Confirms the data is accessible to all users

Answer: B

Explanation:
Explanation
"It is critical to consider privacy concerns when dealing with AI and CRM data because it ensures compliance with laws and regulations. Data privacy is the right of individuals to control how their personal data is collected, used, shared, or stored by others. Data privacy laws and regulations are legal frameworks that define and enforce the rights and obligations of data subjects, data controllers, and data processors regarding personal data. Data privacy laws and regulations vary by country, region, or industry, and may impose different requirements or restrictions on how AI and CRM data can be handled."

NEW QUESTION # 54
Why is it critical to consider privacy concernswhen dealing with AI and CRM data?

A. Increases the volume of data collected
B. Ensures compliance with laws and regulations
C. Confirms the data is accessible to all users

Answer: B

Explanation:
"It is critical to consider privacy concerns when dealing with AI and CRM data because it ensures compliance with laws and regulations. Data privacy is the right of individuals to control how their personal data is collected, used, shared, or stored by others. Data privacy laws and regulations are legal frameworks that defineand enforce the rights and obligations of data subjects, data controllers, and data processors regarding personal data. Data privacy laws and regulations vary by country, region, or industry, and may impose different requirements or restrictions on how AIand CRM data can be handled."

NEW QUESTION # 55
What is a possible outcome of poor data quality?

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

Answer: B

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 # 56
......

For every candidats, practicing for the pass of the exam is an evitable process, since we can improve our ability. Our Salesforce-AI-Associate Exam Torrent will provide you the practice. The pass rate is 98.88%, and if you fail to pass the test, money back guarantee. Besides, we also have online chat service stuff, if you have any questions, you can have a chat with them, or you can send emails to us, we will give you the reply as quickly as we can.

Visual Salesforce-AI-Associate Cert Test: https://www.briandumpsprep.com/Salesforce-AI-Associate-prep-exam-braindumps.html

BONUS!!! Download part of BraindumpsPrep Salesforce-AI-Associate dumps for free: https://drive.google.com/open?id=1kNJiwhYlGY2yE77Ou3HC0erWbPQn4dwa

Doug Clark Doug Clark

Biography

Quick Links

Resource