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Salesforce-AI-Associate최신버전시험덤프자료 & Salesforce-AI-Associate완벽한공부자료
Salesforce인증Salesforce-AI-Associate시험은 IT인증시험과목중 가장 인기있는 시험입니다. Itexamdump에서는Salesforce인증Salesforce-AI-Associate시험에 대비한 공부가이드를 발췌하여 IT인사들의 시험공부 고민을 덜어드립니다. Itexamdump에서 발췌한 Salesforce인증Salesforce-AI-Associate덤프는 실제시험의 모든 범위를 커버하고 있고 모든 시험유형이 포함되어 있어 시험준비 공부의 완벽한 선택입니다.
Itexamdump에서 발췌한 Salesforce인증 Salesforce-AI-Associate덤프는 전문적인 IT인사들이 연구정리한 최신버전 Salesforce인증 Salesforce-AI-Associate시험에 대비한 공부자료입니다. Salesforce인증 Salesforce-AI-Associate 덤프에 있는 문제만 이해하고 공부하신다면Salesforce인증 Salesforce-AI-Associate시험을 한방에 패스하여 자격증을 쉽게 취득할수 있을것입니다.
>> Salesforce-AI-Associate최신버전 시험덤프자료 <<
Salesforce-AI-Associate완벽한 공부자료, Salesforce-AI-Associate학습자료
비스를 제공해드려 아무런 걱정없이 Salesforce-AI-Associate시험에 도전하도록 힘이 되어드립니다. Itexamdump덤프를 사용하여 시험에서 통과하신 분이 전해주신 희소식이 Itexamdump 덤프품질을 증명해드립니다.
Salesforce Salesforce-AI-Associate 시험요강:
주제
소개
주제 1
- Data for AI: Questions about the importance of data quality and different elements or components of data quality are related to this topic.
주제 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.
주제 3
- 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.
주제 4
- AI Capabilities in CRM: Get familiar with the benefits of AI and capabilities of CRM.
최신 AI Associate Salesforce-AI-Associate 무료샘플문제 (Q36-Q41):
질문 # 36
A healthcare company implements an algorithm to analyze patient data and assist in medical diagnosis.
Which primary role does data Quality play In this AI application?
- A. Ensured compatibility of AI algorithms with the system's Infrastructure
- B. Enhanced accuracy and reliability of medical predictions and diagnoses
- C. Reduced need for healthcare expertise in interpreting AI outouts
정답:B
설명:
"Data quality plays a crucial role in enhancing the accuracy and reliability of medical predictions and diagnoses. Poor data quality can lead to inaccurate or misleading results, which can have serious consequences for patients' health and well-being. Therefore, it is important to ensure that the dataused for AI applications in healthcare is accurate, complete, consistent, and relevant."
질문 # 37
Cloud Kicks uses Einstein to generate predictions but is not seeing accurate results. What is a potential reason for this?
- A. The wrong product
- B. Too much data
- C. Poor data quality
정답:C
설명:
AI models rely on high-quality data to produce accurate and reliable predictions. Poor data quality-such as missing values, inconsistent formatting, or biased data-can negatively impact AI performance.
Option A (Incorrect): If Cloud Kicks is using Einstein AI, it is unlikely that they are using the wrong product, as Einstein is designed for predictive analytics. The issue is more likely related to data quality or model training.
Option B (Correct): Poor data quality is one of the most common reasons for inaccurate AI predictions. If the input data contains errors, biases, or incomplete information, the AI model will generate flawed insights.
Regular data cleaning and preprocessing are essential for improving prediction accuracy.
Option C (Incorrect): Having too much data does not necessarily result in inaccurate predictions. In fact, more data can improve model performance if properly structured and cleaned. However, if the data is noisy or unstructured, it may lead to inconsistencies.
질문 # 38
A business analyst (BA) wants to improve business by enhancing their sales processes and customer..
Which AI application should the BA use to meet their needs?
- A. Sales data cleansing and customer support data governance
- B. Machine learning models and chatbot predictions
- C. Lead scoring, opportunity forecasting, and case classification
정답:C
설명:
"Lead scoring, opportunity forecasting, and case classification are AI applications that can help abusiness analyst improve their sales processes and customer support. Lead scoring can help prioritize leads based on their likelihood to convert, opportunity forecasting can help predict future sales or revenue based on historical data and trends, and caseclassification can help categorize and route cases based on their attributes."
질문 # 39
What are some key benefits of AI in improving customer experiences in CRM?
- A. Streamlines case management by categorizing and tracking customer support cases, identifying topics, and summarizing case resolutions
- B. Improves CRM security protocols, safeguarding sensitive customer data from potential breaches and threats
- C. Fully automates the customer service experience, ensuring seamless automated interactions with customers
정답:A
설명:
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 customer experiences 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."
질문 # 40
What is a sensitive variable that car esc to bias?
- A. Education level
- B. Country
- C. Gender
정답:C
설명:
Explanation
"Gender is a sensitive variable that can lead to bias. A sensitive variable is a variable that can potentially cause discrimination or unfair treatment based on a person's identity or characteristics. For example, gender is a sensitive variable because it can affect how people are perceived, treated, or represented by AI systems."
질문 # 41
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Itexamdump에서는 시장에서 가장 최신버전이자 적중율이 가장 높은 Salesforce인증 Salesforce-AI-Associate덤프를 제공해드립니다. Salesforce인증 Salesforce-AI-Associate덤프는 IT업종에 몇십년간 종사한 IT전문가가 실제 시험문제를 연구하여 제작한 고품질 공부자료로서 시험패스율이 장난 아닙니다. 덤프를 구매하여 시험에서 불합격성적표를 받으시면 덤프비용 전액을 환불해드립니다.
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