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所在平台: Udemy |
课程主页: https://www.udemy.com/course/salesforce-marketing-cloud-consultant-exam-prep-questions/
课程评论：没有评论
课程名称：Salesforce Marketing Cloud顾问考试准备题目 概述：本课程旨在为考生准备Salesforce认证的营销云顾问考试。课程涵盖所有关键目标，确保学生获得必要的实践经验，以有效管理和配置Salesforce Marketing Cloud。 课程亮点： 1. **发现与架构（16%）**：学习收集额外信息和需求，以设计有效的解决方案。开发针对客户需求的数据和细分策略。根据客户技能推荐适当的解决方案，以便于使用和长期维护。 2. **集成（20%）**：展示对Marketing Cloud Connect功能的知识、可行性和故障排除的能力，基于客户的使用案例理解数据模型如何支持个性化和相关性消息及内容。推荐扩展产品以满足特定客户需求。 3. **账户配置（12%）**：根据客户场景确定适当的账户层级。解决有关回复邮件管理的问题。分析将发件者认证包（SAP）应用于业务单位的影响。展示对移动工作室功能的知识和故障排除能力。 4. **自动化（20%）**：为各种客户场景提供适当的自动化类型和活动。使用Journey Builder和Automation Studio设计复杂的自动化。 5. **数据建模与管理（21%）**：根据客户场景区分标准报告、数据视图和跟踪提取。解释Marketing Cloud中的各种数据对象。评估选择联系身份时对数据模型的影响。 6. **消息传递（11%）**：描述根据客户场景个性化消息内容的方法。确定满足客户需求的适当消息选项。 通过本课程，学员将系统掌握Salesforce Marketing Cloud相关知识，并为成功通过认证考试做好充分准备。
The "Salesforce Marketing Cloud Consultant" course is designed to prepare candidates for the Salesforce Certified Marketing Cloud Consultant Exam. This course covers all key objectives and ensures that students gain the necessary hands-on experience to administer and configure Salesforce Marketing Cloud effectively.Course Highlights:Discovery and Architecture (16%):Learn to gather additional information and requirements to design effective solutions.Develop strategies for data and segmentation tailored to customer needs.Recommend appropriate solutions for ease of use and long-term maintenance based on customer skill sets.Integration (20%):Demonstrate knowledge of Marketing Cloud Connect features, viability, and troubleshooting based on customer use cases.Understand how data models support personalized and relevant messaging and content.Recommend extension products to meet specific customer requirements.Account Configuration (12%):Determine appropriate account hierarchies based on customer scenarios.Solve issues related to Reply Mail Management.Analyze the impact of applying Sender Authentication Package (SAP) to a business unit.Demonstrate knowledge and troubleshooting of Mobile Studio features.Automation (20%):Provide appropriate automation types and activities for various customer scenarios.Design complex automations using Journey Builder and Automation Studio.Data Modeling and Management (21%):Differentiate between standard reports, data views, and tracking extracts based on customer scenarios.Explain various data objects in Marketing Cloud.Evaluate the implications on data models when choosing contact identity.Messaging (11%):Describe ways to individualize message content based on customer scenarios.Determine the appropriate messaging options to meet customer needs.
