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Salesforce Salesforce-AI-Associate덤프문제은행 & Salesforce-AI-Associate인기자격증인증시험자료

Salesforce Salesforce-AI-Associate 덤프는Salesforce Salesforce-AI-Associate시험문제변경에 따라 주기적으로 업데이트를 진행하여 저희 덤프가 항상 가장 최신버전이도록 보장해드립니다. 고객님들에 대한 깊은 배려의 마음으로 고품질Salesforce Salesforce-AI-Associate덤프를 제공해드리고 디테일한 서비스를 제공해드리는것이 저희의 목표입니다.

Salesforce Salesforce-AI-Associate 시험요강:

주제
소개

주제 1

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 2

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

주제 3

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

주제 4

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.

>> Salesforce Salesforce-AI-Associate덤프문제은행 <<

Salesforce-AI-Associate인기자격증 인증시험자료, Salesforce-AI-Associate인증덤프 샘플 다운로드

많은 분들이 고난의도인 Salesforce관련인증시험을 응시하고 싶어 하는데 이런 시험은 많은 전문적인 관련지식이 필요합니다. 시험은 당연히 완전히 전문적인 Salesforce-AI-Associate관련지식을 터득하자만이 패스할 가능성이 높습니다. 하지만 지금은 많은 방법들로 여러분의 부족한 면을 보충해드릴 수 있으며 또 힘든 Salesforce시험도 패스하실 수 있습니다. 혹은 여러분은 전문적인 Salesforce Certified AI Associate Exam관련지식을 터득하자들보다 더 간단히 더 빨리 시험을 패스하실 수 있습니다.

최신 AI Associate Salesforce-AI-Associate 무료샘플문제 (Q17-Q22):

질문 # 17
Cloud Kicks wants to use AI to enhance its sales processes and customer support.
Which capacity should they use?

A. Einstein Lead Scoring and Case Classification
B. Dashboard of Current Leads and Cases
C. Sales path and Automaton Case Escalations

정답：A

설명：
"Einstein Lead Scoring and Case Classification are the capabilities that Cloud Kicks should use to enhance its sales processes and customer support. Einstein Lead Scoring and Case Classification are features that use AI to optimize sales and service processes by providing insights and recommendations based on data.
Einstein Lead Scoring can help prioritize leads based on their likelihood to convert, while Einstein Case Classification can help categorize and route cases based on their attributes."

질문 # 18
How does AI assist in lead qualification?

A. Automatically interacts with prospects
B. Creates personalized SMS campaigns
C. Scores leads based on customer data

정답：C

설명：
AI assists in lead qualification primarily by scoring leads based on customer data. This process, known as lead scoring, uses machine learning algorithms to evaluate leads against a set of predefined criteria that reflect potential interest and sales readiness. The scores assigned help sales teams prioritize their efforts toward leads most likely to convert, thus improving efficiency and success rates in sales activities. Salesforce AI enhances this process through features like Einstein Lead Scoring, which automatically calculates scores based on both historical conversion data and behavioral data from prospects. For further insights, Salesforce provides detailed documentation on lead scoring with AI at Salesforce Einstein Lead Scoring.

질문 # 19
A system admin recognizes the need to put a data management strategy in place.
What is a key component of data management strategy?

A. Color Coding
B. Naming Convention
C. Data Backup

정답：C

설명：
Explanation
Data Backup is a key component of a data management strategy. A data backup is a process of creating and storing copies of data in a separate location or device to prevent data loss or damagein case of a disaster, accident, or malicious attack. A data backup can help ensure data availability, reliability, and security by allowing data to be restored or recovered in the event of a data breach, corruption, or deletion. A data management strategy should include a data backup plan that defines the frequency, scope, method, and location of data backups, as well as the roles and responsibilities of the data backup team.

질문 # 20
Cloud kicks wants to decrease the workload for its customer care agents by implementing a chatbot on its website that partially deflects incoming cases by answering frequency asked questions Which field of AI is most suitable for this scenario?

A. Computer vision
B. Natural language processing
C. Predictive analytics

정답：B

설명：
Explanation
"Natural language processing is the field of AI that is most suitable for this scenario. Natural language processing (NLP) is a branch of AI that enables computers to understand and generate natural language, such as speech or text. NLP can be used to create conversational interfaces that can interact with users using natural language, such as chatbots. Chatbots can help automate and streamline customer service processes by providing answers, suggestions, or actions based on the user's intent and context."

질문 # 21
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. Streamlines case management by categorizing and tracking customer support cases, identifying topics, and summarizing case resolutions
C. Improves CRM security protocols, safeguarding sensitive customer data from potential breaches and threats

정답：B

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 # 22
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