Handsome Savings - Limited Time Offer 30% OFF - Ends In 0d 0h 0m 0s Coupon code: 50OFF
Trusted Worldwide Questions & Answers
Pass your Salesforce Data-Architect Exam with accurate Questions & Answers
Salesforce Certified Data Architect
Last Updated: Oct 2, 2024
257
257 Questions and Answers for the Salesforce Data-Architect exam
499
Students Passed the "Salesforce Data-Architect" exam
94.4%
Average score during Real Exams at the Testing Centre
Salesforce Certified Data Architect Syllabus
- Data modeling/Database Design: This topic covers various techniques and considerations for designing a data model for the Customer 360 platform. It also focuses on approaches to designing a scalable data model that obeys the current security and sharing model. The topic also compares and contrasts techniques for capturing and managing business and technical metadata, as well as the reasons for implementing Big Objects vs Standard/Custom objects and approaches to avoid data skew.
- Master Data Management: This topic covers the various techniques, approaches, and considerations to implement Master Data Management Solutions, and techniques for establishing a "golden record" or "system of truth" for the customer domain. It also discusses approaches and techniques for consolidating data attributes and maintaining customer reference and metadata.
- Salesforce Data Management: This topic covers the appropriate combination of Salesforce license types, techniques to ensure data is persisted in a consistent manner, and approaches to represent a single view of the customer on the Salesforce platform. It also covers techniques to effectively consolidate and leverage data from multiple Salesforce instances.
- Data Governance: This topic covers the approach for designing a GDPR compliant data model, including identifying, classifying, and protecting personal and sensitive information. It also delves into as well different approaches and considerations to design and implement an enterprise data governance program.
- Large Data Volume considerations: It covers the design of a data model that scales considering large data volume and solution performance, a data archiving and purging plan, and the use of virtualised data options.
- Data Migration: This topic covers suitable techniques and methods to make sure high data quality at load time, different strategies to improve performance when migrating large data volumes into Salesforce, and various techniques and considerations to export data from Salesforce.