Salesforce Certified Platform Data Architect (Plat-Arch-201) Exam Topics and Questions
These Salesforce Certified Platform Data Architect (Plat-Arch-201) exam topics are organized according to official exam domains to help candidates quickly verify coverage and focus on assessment rather than theory. Each domain is paired with topic-wise Salesforce Certified Platform Data Architect (Plat-Arch-201) sample questions that reflect how objectives are tested in the actual exam. This structure enables efficient review, targeted self-assessment, and rapid identification of weak areas when preparing for the Salesforce Certified Platform Data Architect certification exam.
Let's Practice Free Salesforce Certified Platform Data Architect (Plat-Arch-201) Questions Aligned with Official Exam Topics
Exam Contains: 6 Topics
Topic Content
Data modeling and database design encompasses the strategic selection and implementation of data structures within the Customer 360 platform, requiring comprehensive understanding of objects, fields, relationships, and object features to support business requirements. Professionals must evaluate scalable data model design approaches that align with existing security and sharing models while accommodating growth and performance demands. Effective metadata management—including business dictionaries, data lineage tracking, taxonomy development, and data classification systems—ensures organizational alignment between technical implementations and business objectives. The decision between...
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Sample Questions for Topic 1 : Data modeling/Database Design:
Q1
Your organization is implementing a comprehensive metadata management strategy for a complex data model. Which elements should be included to ensure alignment between technical implementation and business objectives?
Topic Content
Master Data Management encompasses the comprehensive evaluation and implementation of various MDM techniques and approaches including different implementation styles, data harmonization and consolidation from multiple sources, establishment of data survivorship rules with appropriate thresholds and weights, enrichment through external reference data, canonical modeling techniques, and hierarchy management. Candidates must be able to analyze customer scenarios and recommend suitable techniques for creating a "golden record" or "system of truth" within the customer domain in a Single Org environment. The exam requires...
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Topic Content
Salesforce Data Management encompasses the strategic selection of appropriate license types based on customer requirements to optimize the use of standard and custom objects for business operations. This includes implementing techniques to maintain data consistency and integrity across the platform through validation rules, triggers, and data governance practices. The topic addresses creating a unified customer view by integrating data from multiple external systems using APIs, middleware solutions, and data synchronization tools. Additionally, it covers designing effective strategies to consolidate and...
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Topic Content
Data Governance encompasses the design and implementation of systems that ensure organizational data is properly managed, protected, and compliant with regulatory requirements. This topic requires understanding how to develop GDPR-compliant data models by identifying, classifying, and protecting personal and sensitive information through various technical and procedural approaches. Candidates must be able to analyze customer scenarios and recommend appropriate strategies for data protection, including encryption, anonymization, and access controls. Additionally, this topic covers the comparison of different enterprise data governance frameworks,...
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Topic Content
Large Data Volume Considerations encompasses designing scalable data models that effectively handle substantial data volumes while maintaining optimal solution performance. This includes evaluating customer scenarios to recommend appropriate data archiving and purging strategies that align with organizational data storage management requirements and cost efficiency goals. Additionally, professionals must assess situations where virtualized data approaches would be beneficial and understand the various virtualized data options available, such as virtual tables, external data sources, and data federation techniques. The ability to balance...
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Topic Content
Data Migration encompasses the strategic movement of information into and out of Salesforce systems while maintaining data integrity and performance standards. This topic requires understanding how to evaluate customer requirements and implement appropriate data quality assurance techniques during the data loading process to ensure accuracy and completeness. Professionals must be able to compare different performance optimization strategies when handling large-scale data migrations, including batch processing, API usage, and parallel loading methods to minimize system impact. Additionally, the topic covers various...
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