Salesforce Certified Data Architect Exam: Comprehensive Study Guide 2023 (Online Access Included)

Congratulations on taking the next step to prepare for your Salesforce Certified Data Architect credential. This exam guide has the information you need to help you study and prepare for your exam.

Welcome to our ebook, "Salesforce Certified Data Architect". This resource has been meticulously crafted to provide a comprehensive guide for those who are aspiring to take a significant step in their Salesforce career.

Exam outline
The Salesforce Certified Data Architect exam measures a candidate’s knowledge and skills related to the following objectives:

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).
• 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 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 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.
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.
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.

This ebook covers all these areas in detail. We delve deep into each topic, breaking down complex concepts into comprehensible nuggets. We also provide practical examples and scenarios to aid your understanding and prepare you for the type of questions you might encounter in the exam.