|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/salesforce-certified-data-architect-exam-questions-prep/
课程评论：没有评论
课程名称：Salesforce认证数据架构师考试题目 *2025* 概述：欢迎参加我们全面的Salesforce认证数据架构师认证模拟考试课程。该课程旨在帮助您掌握通过考试所需的Salesforce基本技能、概念和最佳实践，以自信地应对挑战。在本课程中，您将学习以下内容： 1. **数据建模/数据库设计（25%）**：比较和对比在Customer 360平台上设计数据模型的各种技术和考虑因素，推荐可扩展的数据模型设计方案，以遵循当前的安全和共享模型，分析大对象与标准/自定义对象的优缺点，避免数据倾斜。 2. **主数据管理（5%）**：比较和对比实施主数据管理解决方案的各种技术，推荐建立“金记录”或“真相系统”的技术方案，确保客户参考数据和元数据的捕捉与维护。 3. **Salesforce数据管理（25%）**：推荐合适的Salesforce许可类型的组合，确保数据的一致性表示，设计以有效整合多个Salesforce实例的数据。 4. **数据治理（10%）**：设计符合GDPR的数据模型，比较和对比企业数据治理程序的设计与实施方案。 5. **大数据量考虑（20%）**：设计可扩展的数据模型，推荐数据存档及清理计划，讨论虚拟化数据的选择。 6. **数据迁移（15%）**：推荐高数据质量的加载技术，比较提高迁移大数据量性能的各种技术，讨论从Salesforce中导出数据的技术。 本实践考试测试课程旨在提供全面的学习体验，适合初学者和有经验的专业人士。通过引人入胜的模拟考试题和Salesforce专业人士的专家指导，您将为征服Salesforce认证数据架构师考试做好充分准备，开启您的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.
