Rick Shaw Rick Shaw's Profile Page

Rick Shaw Rick Shaw

0 Course Enrolled • 0 Course Completed

Biography

Exam Salesforce-AI-Associate Syllabus, Salesforce-AI-Associate Practice Braindumps

As you may know that we have become a famous brand for we have engaged for over ten years in this career. The system designed of Salesforce-AI-Associate learning guide by our professional engineers is absolutely safe. Your personal information will never be revealed. Of course, our Salesforce-AI-Associate Actual Exam will certainly not covet this small profit and sell your information. So you can just buy our Salesforce-AI-Associate exam questions without any worries and trouble.

Salesforce Salesforce-AI-Associate Exam Syllabus Topics:

Topic
Details

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 the Trusted AI Principles of Salesforce to given scenarios.

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 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 Syllabus <<

Pass Guaranteed Quiz Salesforce-AI-Associate - Salesforce Certified AI Associate Exam Unparalleled Exam Syllabus

The TestPDF is committed to making the entire Salesforce Certified AI Associate Exam (Salesforce-AI-Associate) exam preparation journey simple, smart, and successful. To achieve this objective the TestPDF is offering the top-rated and updated Salesforce Certified AI Associate Exam (Salesforce-AI-Associate) exam practice test questions in three different formats. These formats are Salesforce Salesforce-AI-Associate web-based practice test software, desktop practice test software, and PDF dumps files.

Salesforce Certified AI Associate Exam Sample Questions (Q15-Q20):

NEW QUESTION # 15
What is an example of ethical debt?

A. Delaying an AI product launch to retrain an AI data model
B. Launching an AI feature after discovering a harmful bias
C. Violating a data privacy law and falling to pay fines

Answer: B

Explanation:
"Launching an AI feature after discovering a harmful bias is an example of ethical debt. Ethical debt is a term that describes the potential harm or risk caused by unethical or irresponsible decisions or actions related to AIsystems. Ethical debt can accumulate over time and have negative consequences for users, customers, partners, or society. For example, launching an AI feature after discovering a harmful bias can create ethical debt by exposing users to unfair or inaccurate results that may affect their trust, satisfaction, or well-being."

NEW QUESTION # 16
What is the rile of data quality in achieving AI business Objectives?

A. Data quality is required to create accurate AI data insights.
B. Data quality is unnecessary because AI can work with all data types.
C. Data quality is important for maintain Ai data storage limits

Answer: A

Explanation:
"Data quality is required to create accurate AI data insights. 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 quality can also affect the accuracy and validity of AI data insights, as they reflect the quality of the data used or generated by AI systems."

NEW QUESTION # 17
How does a data quality assessment impact business outcome for companies using AI?

A. Accelerates the delivery of new AI solutions
B. Provides a benchmark for AI predictions
C. Improves the speed of AI recommendations

Answer: B

Explanation:
Explanation
"A data quality assessment impacts business outcomes for companies using AI by providing a benchmark for AI predictions. A data quality assessment is a process that measures and evaluates the quality of data for a specific purpose or task. A data quality assessment can help identify and address any issues or gaps in the data quality dimensions, such as accuracy, completeness, consistency, relevance, and timeliness. A data quality assessment can impact business outcomes for companies using AI by providing a benchmark for AI predictions, as it can help ensure that the predictions are based on high-quality data that reflects the true state or condition of the target population or domain."

NEW QUESTION # 18
What is the most likely impact that high-quality data will have on customer relationships?

A. Higher customer acquisition costs
B. Improved customer trust and satisfaction
C. Increased brand loyalty

Answer: B

Explanation:
Explanation
"The most likely impact that high-quality data will have on customer relationships is improved customer trust and satisfaction. High-quality data means that the data is accurate, complete, consistent, relevant, and timely for the AI task. High-quality data can improve customer relationships by enabling AI systems to provide personalized and relevant products, services, or solutions that meet the customers' expectations, needs, and interests. High-quality data can also improve customer trust and satisfaction by reducing errors, delays, or waste in customer interactions."

NEW QUESTION # 19
How does a data quality assessment impact business outcome for companies using AI?

A. Accelerates the delivery of new AI solutions
B. Provides a benchmark for AI predictions
C. Improves the speed of AI recommendations

Answer: B

Explanation:
"A data quality assessment impacts business outcomes for companies using AI by providing a benchmark for AI predictions. A data quality assessment is a process that measures and evaluates the quality of data for a specific purpose or task. A data quality assessment can help identify and address any issues or gaps in the data quality dimensions, such as accuracy, completeness, consistency, relevance, and timeliness. A data quality assessment can impact business outcomes for companies using AI by providing a benchmark for AIpredictions, as it can help ensure that the predictions are based on high-quality data that reflects the true state or condition of the target population or domain."

NEW QUESTION # 20
......

How to find a valid exam dumps providers which can elaborate on how to prepare you properly with more appropriate questions to pass Salesforce-AI-Associate exams? Yes, here is your chance to know us. Our products are just suitable for you. Our Salesforce-AI-Associate exam training dumps will help you master the real test and prepare well for your exam. If you worry about your exam, our Salesforce-AI-Associate Exam Training dumps will guide you and make you well preparing，you will pass exam without any doubt.

Salesforce-AI-Associate Practice Braindumps: https://www.testpdf.com/Salesforce-AI-Associate-exam-braindumps.html

Rick Shaw Rick Shaw

Biography

Setforth Nigeria Organization