Salesforce Certified Data Architect practice exam

The Salesforce Certified Data Architect credential is intended for the architect who assesses the architecture environment and requirements; and designs sound, scalable, and performant solutions on the Customer 360 platform.

Key Facts

  • 60 multiple-choice questions
  • 105 minutes to complete the exam
  • 58% score to pass (35 good answers)
  • 400 USD registration fee (plus applicable taxes)
  • 200 USD retake fee (plus applicable taxes)
  • No prerequisites
  • Proctored exam delivered onsite a a testing center or in an online proctored environment
  • No hard-copy or online materials may be referenced during the exam.
Salesforce Certified Data Architect practice exam

Salesforce Data Architect exam sections

Below are all the sections, which will be tested during the exam.

A candidate should have a hands-on experience and deep understanding of the following areas.

Data modeling/Database Design: 25%

  • Compare and contrast various techniques and considerations for designing a data model for the Customer 360 platform. (e.g. objects, fields & relationships, object features).
  • 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, approaches and considerations for capturing and managing business and technical metadata (e.g. business dictionary, data lineage, taxonomy, data classification).
  • 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).

Master Data Management: 5%

  • 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 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 approaches and techniques for consolidating data attributes from multiple sources. Discuss criteria and methodology for picking the winning attributes.
  • 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.

Salesforce Data Management: 25%

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

Data Governance: 10%

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

Large Data Volume considerations: 20%

  • 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.
  • Given a customer scenario, decide when to use virtualized data and describe virtualized data options.

Data Migration: 15%

  • 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.
  • Compare and contrast various techniques and considerations for exporting data from Salesforce.

For the reference: Check Salesforce official Exam Guide.

What’s included?

  • 120 questions, covering all certification areas
  • Detailed explanation of each question
  • Real-a-like exam environment to test your knowledge
  • References to official Salesforce materials

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