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Salesforce Certified Data Architect Practice Exam

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Salesforce Certified Data Architect Practice Exam



The Salesforce Certified Data Architect certification is designed for architects responsible for evaluating architecture environments and requirements. These architects design robust, scalable, and efficient solutions on the Customer 360 platform. Additionally, they possess expertise in the following areas:
  • Data Modeling & Database Design
  • Master Data Management
  • Salesforce Data Management
  • Data Governance
  • Considerations for Large Data Volumes
  • Data Migration

A Salesforce Certified Data Architect evaluates the architecture environment and requirements, crafting robust, scalable, and efficient solutions on the Customer 360 Platform, specifically focusing on enterprise data management. The candidate possesses knowledge of information architecture frameworks, encompassing critical components like data sourcing, integration/movement, persistence, master data management, metadata management, semantic reconciliation, data governance, security, and delivery.

Additionally, the candidate demonstrates experience in assessing customer requirements concerning data quality needs and devising solutions to ensure high-quality data, including measures to prevent duplicates and ensure data accuracy. They are also adept at proposing organizational adjustments to promote proper data stewardship. Moreover, the candidate is skilled in communicating solutions and weighing design trade-offs with business stakeholders.

Who should take the exam?

The Salesforce Certified Data Architect typically has the following:
  • 2 to 3 years of Salesforce experience
  • Over 5 years of experience supporting or implementing data-centric solutions

Common job roles may include:
  • Advanced Administrator
  • Data Architect
  • Technical/Solution Architect
  • Advanced Platform Developer

Knowledge Requirement:

The Salesforce Certified Data Architect candidate showcases proficiency, skills, and knowledge in the following areas:
  • Data modeling and Database Design
  • Custom fields, master-detail relationships, lookup relationships
  • Translating client requirements into database requirements
  • Understanding the standard object structure for sales and service clouds
  • Optimizing Salesforce standard and big objects
  • Recognizing the association between standard objects and Salesforce license types
  • Handling considerations for Large Data Volumes (LDV)
  • Implementing indexing, LDV migrations, and optimizing performance
  • Grasping Salesforce Platform declarative and programming concepts
  • Scripting using tools such as Data Loader and ETL platforms
  • Upholding Data Stewardship principles
  • Possessing Data Quality Skills, emphasizing clean data practices

Exam Details

  • Exam Name: Salesforce Certified Data Architect
  • Exam Languages: English
  • Exam Questions: 60 Questions
  • Time: 105 minutes
  • Passing Score: 58%

Course Outline 

The Salesforce Certified Data Architect Exam covers the given topics  - 
Domain 1: Understand 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).

Domain 2: Learn about 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 

Domain 3: Understand 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.

Domain 4: Understand 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. 

Domain 5: 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 virtualised data and describe virtualised data options.

Domain 6: Learn about 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.



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