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所在平台: Udemy |
课程主页: https://www.udemy.com/course/salesforce-certified-data-architect-new-exam-prep-questions/
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课程名称：Salesforce认证数据架构师*2025*全新课程 课程概述：欢迎参加我们全面的Salesforce认证数据架构师认证实践考试课程，旨在帮助您掌握通过考试所需的基本Salesforce技能、概念和最佳实践。在本课程中，您将学习： - 数据建模/数据库设计（占25%）：比较和对比设计Customer 360平台数据模型的各种技术和考虑因素（例如，对象、字段和关系、对象特性）。根据给定场景，推荐设计遵循当前安全和共享模型的可扩展数据模型的方法和技术。比较和对比捕获和管理业务与技术元数据的不同技巧、方法和考虑（例如，业务词典、数据血统、分类法、数据分类）。解释在生产实例中实施大对象与标准/自定义对象的不同原因，以及利用大对象在Salesforce数据模型中的独特优缺点。根据客户场景，推荐避免数据偏斜的技术（记录锁定、共享计算问题，以及过多的子到父关系）。 - 主数据管理（占5%）：比较和对比实施主数据管理解决方案的各种技术、方法和考虑（例如，MDM实施风格、从多个来源整合和协调数据、建立数据生存规则、阈值和权重、利用外部参考数据进行丰富、规范建模技术、层级管理）。根据客户场景，推荐并使用技术在单一组织中为客户域建立“黄金记录”或“真实系统”。 - Salesforce数据管理（占25%）：根据客户场景，推荐有效利用标准和自定义对象的Salesforce许可证类型组合来满足业务需求。推荐确保数据一致性保存的技术。针对多个交互系统的场景，描述在Salesforce平台上表现单一客户视图的技术。 - 数据治理（占10%）：根据客户场景，推荐设计符合GDPR的数据模型的方法。讨论识别、分类和保护个人与敏感信息的各种选择。比较和对比设计和实施企业数据治理程序的不同方法。 - 大数据量考虑（占20%）：根据客户场景，设计一个考虑大数据量和解决方案性能的可扩展数据模型。推荐适合客户数据存储管理需求的数据归档和清除计划。决定何时使用虚拟数据，并描述虚拟数据选项。 - 数据迁移（占15%）：根据客户场景，推荐确保数据加载时高质量的适当技术和方法。比较和对比在将大数据量迁移到Salesforce时提高性能的不同技术。比较和对比从Salesforce导出数据的各种技巧和注意事项。 我们的实践考试课程旨在提供全面的学习体验，适合初学者和经验丰富的专业人士。通过吸引人的实践考试问题和Salesforce专业人士的专家指导，您将能够顺利通过Salesforce认证数据架构师认证考试，并启动您的Salesforce职业生涯。
Welcome to our all-inclusive Salesforce Certified Data Architect Certification Practice Exam course, designed to help you master the essential Salesforce skills, concepts, and best practices needed to pass the exam with confidence. In this course, you will learn: Data modeling/Database Design: 25%Compare and contrast various techniques and considerations for designing a data model for the Customer 360 platform. (e.g. objects, fields & relationships, object features).Given a scenario, recommend approaches and techniques to design a scalable data model that obeys the current security and sharing model.Compare and contrast various techniques, approaches and considerations for capturing and managing business and technical metadata (e.g. business dictionary, data lineage, taxonomy, data classification).Compare and contrast the different reasons for implementing Big Objects vs Standard/Custom objects within a production instance, alongside the unique pros and cons of utilizing Big Objects in a Salesforce data model.Given a customer scenario, recommend approaches and techniques to avoid data skew (record locking, sharing calculation issues, and excessive child to parent relationships).Master Data Management: 5%Compare and contrast the various techniques, approaches and considerations for implementing Master Data Management Solutions (e.g. MDM implementation styles, harmonizing & consolidating data from multiple sources, establishing data survivorship rules, thresholds & weights, leveraging external reference data for enrichment, Canonical modeling techniques, hierarchy management.)Given a customer scenario, recommend and use techniques for establishing a "golden record" or "system of truth" for the customer domain in a Single OrgGiven a customer scenario, recommend approaches and techniques for consolidating data attributes from multiple sources. Discuss criteria and methodology for picking the winning attributes.Given a customer scenario, recommend appropriate approaches and techniques to capture and maintain customer reference & metadata to preserve traceability and establish a common context for business rulesSalesforce Data Management: 25%Given a customer scenario, recommend appropriate combination of Salesforce license types to effectively leverage standard and custom objects to meet business needs.Given a customer scenario, recommend techniques to ensure data is persisted in a consistent manner.Given a scenario with multiple systems of interaction, describe techniques to represent a single view of the customer on the Salesforce platform.Given a customer scenario, recommend a design to effectively consolidate and/or leverage data from multiple Salesforce instances.Data Governance: 10%Given a customer scenario, recommend an approach for designing a GDPR compliant data model. Discuss the various options to identify, classify and protect personal and sensitive information.Compare and contrast various approaches and considerations for designing and implementing an enterprise data governance program.Large Data Volume considerations: 20%Given a customer scenario, design a data model that scales considering large data volume and solution performance.Given a customer scenario, recommend a data archiving and purging plan that is optimal for customer's data storage management needs.Given a customer scenario, decide when to use virtualised data and describe virtualised data options.Data Migration: 15%Given a customer scenario, recommend appropriate techniques and methods for ensuring high data quality at load time.Compare and contrast various techniques for improving performance when migrating large data volumes into Salesforce.Compare and contrast various techniques and considerations for exporting data from Salesforce.Our practice exam test course is designed to provide a comprehensive learning experience that caters to both beginners and experienced professionals. With engaging practice exam questions and expert guidance from Salesforce professionals, you'll be well-equipped to conquer the Salesforce Certified Data Architect Certification exam and kick-start your Salesforce career.
