Data-Architecture-And-Management-Designer exam dumps

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  • Exam Code: Data-Architecture-And-Management-Designer
  • Exam Name: Salesforce Certified Data Architecture and Management Designer
  • No. of Questions: 224 Questions and Answers
  • Updated: Jul 28, 2026

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Salesforce Certified Data Architecture and Management Designer certification exam is meant for professionals who have a deep understanding of the Salesforce data architecture and management concepts. Salesforce Certified Data Architecture and Management Designer certification exam requires candidates to demonstrate their proficiency in areas such as data modeling, data analysis, data migration, data integration, and data governance. Data-Architecture-And-Management-Designer exam consists of 60 multiple-choice questions and is timed for 105 minutes.

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Data-Architecture-And-Management-Designer Exam topics

Candidates must know the exam topics before they start of preparation. Because it will really help them in hitting the core. Our Salesforce Data-Architecture-And-Management-Designer exam dumps will include the following topics:

1. Data Modeling/ Database Design 20%

  • Compare and contrast various techniques and considerations for designing a data model for the Customer 360 platform. (e.g. objects, fields & relationships, object features).
  • 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).
  • Given a scenario, recommend approaches and techniques to design a scalable data model that obeys the current security and sharing model.
  • 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).

2. Master Data Management: 5%

  • Given a customer scenario, recommend and use techniques for establishing a “golden record” or “system of truth” for the customer domain in a Single Org
  • 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 rules
  • 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 approaches and techniques for consolidating data attributes from multiple sources. Discuss criteria and methodology for picking the winning attributes.

3. Salesforce Data Management: 25%

  • 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.
  • Given a customer scenario, recommend appropriate combination of Salesforce license types to effectively leverage standard and custom objects to meet business needs.

4. Data Governance: 10%

  • Compare and contrast various approaches and considerations for designing and implementing an enterprise data governance program.
  • 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.

5. Large Data Volume considerations: 20%

  • 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, design a data model that scales considering large data volume and solution performance.
  • Given a customer scenario, decide when to use virtualised data and describe virtualised data options.

6. Data Migration: 15%

  • 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.
  • Given a customer scenario, recommend appropriate techniques and methods for ensuring high data quality at load time.

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Salesforce Data-Architecture-And-Management-Designer certification exam is designed to test your knowledge and skills in various aspects of data architecture and management. This includes designing and implementing data models, managing data quality, integrating data across systems, and designing data security and compliance solutions. Data-Architecture-And-Management-Designer exam also covers best practices for data governance, data migration, and data integration. Successful completion of this certification exam demonstrates your proficiency in all these areas and your ability to use Salesforce data management tools effectively.

Reference: https://trailhead.salesforce.com/en/credentials/dataarchitectureandmanagementdesigner#

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Salesforce Data-Architecture-And-Management-Designer Exam Syllabus Topics:

SectionWeightObjectives
Salesforce Data Management25%- Data persistence techniques
- License combinations and object use
Data Governance10%- Data stewardship frameworks
- GDPR compliance design
Data Migration15%- Data export and consolidation
- Bulk API and data load strategies
Data Modeling/Database Design25%- Design scalable data models
- Object relationships and features
Master Data Management5%- Golden record and survivorship rules
- Metadata and taxonomy considerations
Large Data Volume Considerations20%- External objects and partitioning
- Performance and indexing strategies

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