Salesforce Certified Data Architect certification is a valuable asset for professionals looking to advance their careers in the Salesforce ecosystem. It is recognized by employers as a mark of excellence and is often a requirement for senior-level positions in the industry. Salesforce Certified Data Architect certification is also a prerequisite for the Salesforce Certified Technical Architect certification, which is the highest level of certification in the Salesforce ecosystem.
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To prepare for the Salesforce Data-Architect certification exam, it is essential to have a solid understanding of data architecture and design principles. Candidates should have hands-on experience with Salesforce data modeling and be familiar with the Salesforce platform. Salesforce offers a range of training courses, study materials, and practice exams to help candidates prepare for the certification exam. It is recommended that candidates have at least four years of experience in data architecture and design to ensure they are adequately prepared for the exam.
The Data-Architect certification exam is a challenging exam that requires a significant amount of preparation and study. Candidates must have an in-depth understanding of Salesforce data architecture, data modeling, and data governance. They must also have practical experience working with data integrations and data migration.
Reference: https://trailheadacademy.salesforce.com/certificate/exam-data-architect---Plat-Arch-201
Salesforce Data-Architect Exam is a challenging exam that requires a significant amount of preparation and study. To pass the exam, individuals need to have a deep understanding of the Salesforce platform, its data-related features, and best practices for designing and implementing data solutions. Data-Architect exam is composed of multiple-choice questions and scenarios, and individuals have three hours to complete it. Once an individual passes the exam, they will become a Salesforce Certified Data Architect, which is a valuable certification that demonstrates expertise in data architecture on the Salesforce platform.
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Salesforce Data-Architect Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Governance | 20% | - Compliance and regulatory considerations - Data quality standards and metrics - Data stewardship roles and responsibilities - Data retention and archiving policies |
| Topic 2: Master Data Management | 20% | - Data duplication and matching rules - Data cleansing techniques - Identity resolution |
| Topic 3: Data Integration | 15% | - Sharing rules impact on data integration - API-based integration (REST, SOAP, Bulk API) - ETL tools and data migration strategies - Handling locks and parallelism during migration - Real-time vs batch integration patterns |
| Topic 4: Data Modeling | 25% | - Big Objects and external objects - Skinny tables for performance optimization - Large Data Volumes (LDV) design considerations - Indexing strategies - Normalization and denormalization strategies |
| Topic 5: Data Architecture | 20% | - Governor limits and bulk processing - Performance tuning and optimization - Archiving and data lifecycle management - Architecture patterns and design principles |
