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Salesforce-AI-Associate인증시험공부 & Salesforce-AI-Associate적중율높은인증덤프자료

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Salesforce Salesforce-AI-Associate 시험요강:

주제
소개

주제 1

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

주제 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.

주제 3

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

주제 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.

 

>> Salesforce-AI-Associate인증시험공부 <<

Salesforce-AI-Associate적중율 높은 인증덤프자료 - Salesforce-AI-Associate시험대비 최신 공부자료

우리Itexamdump에는 아주 엘리트한 전문가들로 구성된 팀입니다. 우리는 아주 정확하게 또한 아주 신속히Salesforce Salesforce-AI-Associate관한 자료를 제공하며, 업데이트될경우 또한 아주 빠르게 뉴버전을 여러분한테 보내드립니다. Itexamdump는 관련업계에서도 우리만의 브랜드이미지를 지니고 있으며 많은 고객들의 찬사를 받았습니다. 현재Salesforce Salesforce-AI-Associate인증시험패스는 아주 어렵습니다, 하지만 Itexamdump의 자료로 충분히 시험 패스할 수 있습니다.

최신 AI Associate Salesforce-AI-Associate 무료샘플문제 (Q62-Q67):

질문 # 62
Cloud Kicks relies on data analysis to optimize its product recommendation; however, CK encounters a recurring Issue of Incomplete customer records, with missing contact Information and incomplete purchase histories.
How will this incomplete data quality impact the company's operations?

• A. The response time for product recommendations is stalled.
• B. The accuracy of product recommendations is hindered.
• C. The diversity of product recommendations Is Improved.

정답：B

설명：
Explanation
"The incomplete data quality will impact the company's operations by hindering the accuracy of product recommendations. Incomplete data means that the data is missing some values or attributes that are relevant for the AI task. Incomplete data can affect the performance and reliability of AI models, as they may not have enough information to learn from or make accurate predictions. For example, incomplete customer records can affect the quality of product recommendations, as the AI model may not be able to capture the customers' preferences, behavior, or needs."

 

질문 # 63
Which type of bias results from data being labeled according to stereotypes?

• A. Association
• B. Interaction
• C. Societal

정답：C

설명：
Explanation
"Societal bias results from data being labeled according to stereotypes. Societal bias is a type of bias that reflects the assumptions, norms, or values of a specific society or culture. For example, societal bias can occur when data is labeled based on gender, race, ethnicity, or religion stereotypes."

 

질문 # 64
Cloud Kicks relies on data analysis to optimize its product recommendations for customers.
How will incomplete data quality impact the company's recommendations?

• A. The diversity of the product
• B. The accuracy of the product
• C. The response time for the product

정답：B

설명：
Incomplete data quality negatively impacts the accuracy of product recommendations made by Cloud Kicks.
If data is missing or incomplete, the AI models used for product recommendation may not have enough information to accurately predict customer preferences and behavior. This leads to recommendations that may not align well with customer needs, reducing customer satisfaction and potentially affecting sales.
Ensuring complete and accurate data is crucial for effective recommendation systems. Salesforce discusses the impact of data quality on AI outcomes and strategies to enhance data integrity in their documentation on AI and data management, which can be referenced at Data Management for AI.

 

질문 # 65
Cloud Kicks discovered multiple variations of state and country values in contact records.
Which data quality dimension is affected by this issue?

• A. Usage
• B. Consistency
• C. Accuracy

정답：B

설명：
Explanation
"Consistency is the data quality dimension that is affected by multiple variations of state and country values in contact records. Consistency means that the data values are uniform and follow a common standard or format across different records, fields, or sources. Inconsistent data can cause confusion, errors, or duplication in data analysis and processing."

 

질문 # 66
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

정답：C

설명：
"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."

 

질문 # 67
......

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