Salesforce Certified Data Architecture and Management Designer : Data-Architecture-And-Management-Designer

  • Exam Code: Data-Architecture-And-Management-Designer
  • Exam Name: Salesforce Certified Data Architecture and Management Designer
  • Updated: Aug 23, 2026
  • Q & A: 224 Questions and Answers

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About Salesforce Certified Data Architecture and Management Designer : Data-Architecture-And-Management-Designer Exam

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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%

  • 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 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 customer scenario, recommend approaches and techniques to avoid data skew (record locking, sharing calculation issues, and excessive child to parent relationships).
  • 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.

2. Master Data Management: 5%

  • Given 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 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.)

3. Salesforce Data Management: 25%

  • Given a customer scenario, recommend a design to effectively consolidate and/or leverage data from multiple Salesforce instances.
  • 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 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, decide when to use virtualised data and describe virtualised data options.
  • 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.

6. Data Migration: 15%

  • 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.
  • Compare and contrast various techniques for improving performance when migrating large data volumes into Salesforce.

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What is the duration of the Data-Architecture-And-Management-Designer Exam

  • Format: Multiple choices, multiple answers
  • Length of Examination: 105 minutes
  • Number of Questions: 60
  • Passing Score: 58%
  • Exam delivery options: Proctored exam delivered onsite at a testing center or in an online proctored environment. Click here for information on scheduling an exam.

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

Who should take the Data-Architecture-And-Management-Designer exam

Salesforce Certified Data Architecture and Management Designer certification is an internationally-recognized validation that identifies persons who earn it as possessing skilled as a Salesforce Certified Data Architecture and Management Designer. If a candidate wants significant improvement in career growth needs enhanced knowledge, skills, and talents. The Salesforce Data-Architecture-And-Management-Designer Exam provides proof of this advanced knowledge and skill. If a candidate has knowledge of associated technologies and skills that are required to pass the Salesforce Data-Architecture-And-Management-Designer Exam then he should take this exam.

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How to study the Data-Architecture-And-Management-Designer Exam

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

SectionObjectives
Topic 1: Large Data Volume Management- Scalability design in Salesforce data architecture
- Indexing and query optimization
- Archiving and partitioning strategies
Topic 2: Master Data Management (MDM)- Golden record strategy
- Deduplication and data matching
Topic 3: Data Integration and Migration- ETL and data loading tools (Data Loader, APIs)
- Integration patterns and best practices
- Data migration planning and execution
Topic 4: Data Governance- Data quality management
- Data security and compliance considerations
- Data stewardship and lifecycle policies
Topic 5: Data Modeling and Management- Data modeling strategies in Salesforce
- Schema design and normalization concepts
- Relationship modeling (lookup vs master-detail)

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