|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/salesforce-data-cloud-consultant-practice-testsexplanations/
课程评论：没有评论
课程名称：Salesforce 数据云顾问实战测试与解析 课程概述：本考试课程涵盖了所有主题、领域和信息，旨在提升学员对相关主题的理解，并增加顺利通过考试的可能性。 课程特点： - **最新内容**：练习测试内容截至2025年5月，符合最新的考试目标和行业趋势。 - **Trailhead链接/模块**：考试的通过只是其中一部分，更重要的是获取知识。课程中包含了与主题相关的Trailhead链接/模块，帮助学员获得精准的Trailhead支持。 - **详细全面的解释**：每个场景都提供深入的解释和逐步指导，帮助学员在Trailhead Playground中复现场景。请注意，部分问题（8-10道）较为棘手，目前没有提供解释。 - **准确的场景**：本课程聚焦于切实相关的场景，避免无关或模糊的问题，旨在帮助学员通过考试。 - **成就感**：通过阅读/理解解释并实操Trailhead Playground，您将获得满足感，确保不仅能顺利通过考试，还能掌握相关知识和见解。 - **适合所有水平**：无论您是刚开始接触Salesforce平台，还是经验丰富的专业人士，这些练习测试都能满足您的特定需求。场景将反映现实世界的挑战。 - **退款政策**：本课程提供Udemy的30天退款政策，如果不满足您的需求，可以申请退款。 推荐在完成每个练习测试后阅读所提供的解释，不仅是正确选项，还有错误选项（如适用），这将显著提高您对这一功能丰富的平台的理解，并大幅提升考试成绩。 每个练习测试都为学员提供了对主题的深入理解。Salesforce认证数据云顾问验证考生的以下能力： - **数据云概述**（18%）：描述数据云的功能、关键术语和商业价值；识别数据云的典型用例；阐述数据云的工作原理及其依赖关系；描述和应用数据伦理原则。 - **数据云设置与管理**（12%）：应用数据云权限、权限集和组织范围设置；描述和配置可用的数据流类型和数据包；基于需求识别和创建数据空间；使用报告、仪表盘、流程、打包和数据包管理和管理数据云；通过数据探索器、配置文件探索器和API诊断和探索数据。 - **数据摄入与建模**（20%）：识别数据云内不同的转换能力；描述从不同源向数据云摄入数据的流程和考虑因素；使用最佳实践定义、映射和建模数据，以满足身份解析要求；使用可用工具检查和验证摄入及建模的数据。 - **身份解析**（14%）：描述匹配及其规则集的应用；调和数据及其规则集的应用；描述身份解析的结果和用例。 - **细分与洞察**（18%）：定义细分的基本概念和用例；识别分析细分成员资格的场景；在数据云中配置、细化和维护细分；识别和区分计算和流式洞察。 - **数据操作**（18%）：定义激活及其基本用例；使用属性和相关属性；识别和分析影响数据云生命周期的时间依赖性；排查激活过程中的常见问题，包括被接受/拒绝的计数、错误及未显示相关属性的情况；使用数据操作并识别其要求和预期用例。 欢迎报名学习，提升您的Salesforce技能，冲刺考试！
This exam course covers all the topics, areas, and information that will increase your understanding of the subject matter and the possibility of clearing the exam!Course Features:Up-to-Date Content: These Practice tests are updated as of May 2025, aligning with the latest exam objectives and industry trends.Trailhead Links/Modules: Clearing the exam is one part; however, gaining knowledge is the most crucial. This course contains Trailhead links/modules to the topic so that learners can get the exact pinpoint Trailhead help.Detailed/thorough Explanation: Every scenario contains an in-depth explanation and step-by-step instructions to replicate the scenario at Trailhead Playground.[Please note]: A few of the questions (8-10) are tricky, and their explanations are not available at the moment.Accurate scenarios: Instead of covering unnecessary or vague questions that will not be helpful for the exam, this course contains to-the-point scenarios. Sense of Achievement: When you read/understand the explanation and make your hands dirty with the Trailhead playground, you will get the sense of satisfaction that you will not only be able to clear the exam, but you will have gained the knowledge and insights of the topic.Appropriate for all levels: Whether you are just starting with the Salesforce platform or a seasoned person, these practice tests cater to your specific needs. Scenarios will reflect real-world challenges.Refund policy: This course comes with a Udemy 30-day refund policy. So, in case.in case it doesn't suit your requirements, you can leverage the Udemy refund policy.Find out by testing yourself with this popular offering.I highly recommend reading the explanations provided after each practice test, not only for the correct choices but also for the incorrect ones. (wherever applicable)This will help improve your understanding of this feature-rich platform and increase your exam score dramatically.Each of the 3 practice tests in this set provides an in-depth understanding of the subject matter.The Salesforce Certified Data Cloud Consultant validates an examinee's ability to:Data Cloud Overview: 18%Describe Data Cloud's function, key terminology, and business value.Identify typical use cases for Data Cloud.Articulate how Data Cloud works and its dependencies.Describe and apply the principles of data ethics.Data Cloud Setup and Administration: 12%Apply Data Cloud permissions, permission sets, and org-wide settings.Describe and configure the available data stream types and data bundles.Identify use cases for data spaces and create data spaces based on requirements.Manage and administer Data Cloud using reports, dashboards, flows, packaging, and data kits.Diagnose and explore data using Data Explorer, Profile Explorer, and APIs.Data Ingestion and Modeling: 20%Identify the different transformation capabilities within Data Cloud.Describe processes and considerations for data ingestion from different sources into Data Cloud.Define, map, and model data using best practices and aligning to requirements for identity resolution.Use available tools to inspect and validate ingested and modeled data.Identity Resolution: 14%Describe matching and how its rule sets are applied.Reconcile data and describe how its rule sets are applied.Describe the results of identify resolution and use cases.Segmentation and Insights: 18%Define basic concepts of segmentation and use cases.Identify scenarios for analyzing segment membership.Configure, refine, and maintain segments within Data Cloud.Identify and differentiate between calculated and streaming insights.Act on Data: 18%Define activations and their basic use cases.Use attributes and related attributes.Identify and analyze timing dependencies affecting the Data Cloud lifecycle.Troubleshoot common problems with activations including accepted/rejected counts, errors, and not seeing related attributes.Use data actions and identify their requirements and intended use cases.
