Updated for Summer '26
New to this track? Our Salesforce Certified System Architect exam prep is the recommended first step. See our certification path to understand where this certification fits. The Salesforce Certified Platform Data Architect exam weights Data Modeling most heavily (25%) — see the full breakdown, study tips, and practice questions below. See our full study guide for deep section coverage. Ready to book? Read our exam tips and study plan.
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Updated for Summer '26
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Written & verified by Krishna Mohan
5× Salesforce Certified · 12+ years in data engineering & Salesforce · Updated for Summer '26
Who is the Data Architect exam for?
- Data Engineers: Professionals who manage large-scale data pipelines, ETL processes, and data quality initiatives on the Salesforce Platform.
- Enterprise Architects: Architects responsible for master data management strategies, data governance, and cross-system data consistency.
- Senior Developers: Developers who design data models, write Bulk API integrations, and optimize SOQL queries for high-volume orgs.
Exam Fees & Registration
Exam Fee
$400
One-time registration fee
Retake Fee
$200
If you need to retake the exam
Comparing certs? View all Salesforce exam fees in one place →
Certification Validity
Your Salesforce Certified Platform Data Architect certification is valid for 3 years from the date you pass the exam. You'll need to maintain your certification through continuing education or retake the exam.
How to Register
Register for the Salesforce Certified Platform Data Architect (ARC-801) exam through the official Salesforce certification portal.
Register for ExamExam data verification: questions, duration, passing score, fees, and section coverage were checked against official source references on .
Official sources: Exam guide·Salesforce exam pricing·Independent prep resource; no braindumps or leaked exam questions.
Salesforce Data Architect Certification: Free Practice Exam & Study Guide (Summer '26)
This exam tests data modeling, large data volume strategies, and migration architecture on the Salesforce Platform. You’ll need to know when to use Big Objects, skinny tables, custom indexes, and MDM patterns for enterprise-scale orgs.
Recommended Prerequisites
We recommend completing this certification first to prepare you better.
Salesforce Certified Platform Data Architect Exam Weightage by Section
Exam Topics
Exam Tips
- 1All four domains are 25%—study the full outline evenly.
- 2Data Modeling: normalization, LDV, big objects, external objects.
- 3Know Identity and Access Management architect concepts (SSO, SAML, OAuth).
- 4Integration and Development Lifecycle: when to use what, and governance.
Prerequisites
- •Application Architect
- •System Architect
- •Strong data and integration experience
Focus Areas
- •Data Architecture
- •Integration Architecture
- •Identity and Access Management
- •Development Lifecycle
Study Strategy
The Data Architect cert covers data modeling, LDV, identity, integration, and development lifecycle.
Study each domain separately, then practice cross-domain scenario questions.
Review sample scenarios from CTA prep materials.
Exam Format and First-Attempt Readiness
The Salesforce Certified Platform Data Architect exam has 60 questions in 105 min, passing score 58%. Most Salesforce exams test scenario-based decisions — focus on when to use each feature, not just terms.
- Study Data Modeling and Master Data Management first — together they carry 45% of the exam.
- Do timed question sets. Build pacing and confidence.
- Review why wrong answers are wrong. It improves scenario reasoning.
- Book the exam once your mock scores are steady above 58%.
Is the Data Architect Exam Hard?
Is the Data Architect Exam Hard?
The Data Architect exam is one of the more demanding architect-level certifications because it combines data modeling theory with practical large data volume (LDV) problem solving. Questions often describe a scenario with tens of millions of records and ask you to choose between skinny tables, custom indexes, Big Objects, or archiving strategies based on query patterns and business requirements.
- 60 questions in 120 minutes — scenario questions require careful reading and elimination of plausible distractors.
- ~68% passing score — roughly 41 correct answers, leaving little margin on questions that test nuanced LDV trade-offs.
- LDV complexity — the exam presents high-volume data scenarios where the correct answer depends on query patterns, not just record count.
- MDM and migration depth — expect questions on external ID upsert strategies, duplicate management, and ETL tool selection for complex migrations.
Pass Rate Guidance
Book the exam when you can explain skinny tables vs. custom indexes from memory, diagram a multi-system migration load order, and choose the right MDM pattern for a given scenario.
Data Architect Exam Format Explained
Data Architect Exam Format Explained
The exam is proctored online or in-person. Here is the format:
Total Questions
60 scored questions
Time Limit
105 min
Passing Score
58%
Question Type
Multiple-choice & multiple-select
How Many Questions Are Scenario-Based?
Most questions present a data architecture scenario — a company with specific record volumes, query patterns, and integration requirements — and ask you to select the optimal strategy.
Best Way to Pass on Your First Attempt
- Know your LDV toolkit: Skinny tables, custom indexes, Async SOQL, Big Objects, and archiving strategies — know exactly when each applies and what it costs.
- Master the migration sequence: Understand parent-before-child load order, external ID upsert, Bulk API 2.0 limits, and rollback strategies for failed loads.
- Study MDM patterns: Registry, Consolidation, and Coexistence — the exam tests which pattern fits a given enterprise data landscape.
- Review data governance tools: Validation Rules, Duplicate Rules, Matching Rules, and Field History Tracking appear in questions about maintaining data quality at scale.
Data Architect: Key Concepts for the Exam
Data Modeling: Objects, Relationships, and Big Objects
Beyond standard objects, Data Architects design custom objects with appropriate relationship types. External Objects connect to data stored outside Salesforce via OData connectors. Big Objects store billions of records but have limited SOQL support (no GROUP BY, aggregate queries) — used for archival. Platform Events are schema-defined and support publish/subscribe. The exam tests when to use each object type and the implications for querying, sharing, and storage.
Master Data Management and Deduplication
MDM strategies define the golden record — the authoritative version of a data entity. Salesforce Matching Rules define how duplicates are identified (fuzzy vs exact matching on fields). Duplicate Rules control what happens when a match is found — alert, block, allow with warning, or report. External IDs support upsert operations — the system matches on external ID to update existing records or insert new ones. The exam tests MDM patterns and duplicate prevention configuration for large-scale data integrations.
Data Migration: Bulk API and Integration Patterns
Bulk API 2.0 processes up to 100 million records per batch job — preferred for large-scale data loads. Data Loader uses Bulk API for loads over 200 records. For complex migrations, ETL (Extract, Transform, Load) tools (MuleSoft, Informatica) prepare data before loading. Heroku Connect provides bi-directional sync between Heroku Postgres and Salesforce. The exam tests which migration tool matches the data volume, transformation complexity, and latency requirements of each scenario.
Data Quality and Governance
Validation Rules enforce data quality at the point of entry — they run on all DML paths (UI, API, Data Loader). Field History Tracking captures changes to up to 20 fields per object and retains data for 18 months. Setup Audit Trail tracks admin configuration changes for 180 days. Data Quality dashboards using CRM Analytics can surface completeness, accuracy, and consistency metrics. The exam tests which governance mechanism addresses a specific data quality requirement.
Large Data Volumes: Performance and Archiving
Large Data Volume (LDV) considerations: indexed fields in WHERE clauses improve SOQL performance (standard fields are indexed; custom fields can be requested). Avoid non-selective queries. Skinny Tables pre-join frequently queried field combinations for reporting performance. Async SOQL runs long-running queries asynchronously. Data archiving to Big Objects or external systems reduces active data volume. The exam tests LDV performance patterns and when to recommend archiving, skinny tables, or query optimisation.
Large Data Volume orgs (millions of records) need proactive design — skinny tables and indexing to keep queries selective, and archiving to Big Objects to keep active tables lean.
How to Pass the Salesforce Data Architect Exam
The Data Architect exam tests expertise in designing Salesforce data models, managing data quality, and planning data migration. Focus on relationship types, storage limits, archiving strategies, and master data management.
Advanced Data Modeling
Know when to use lookup, master-detail, hierarchical (self-referential), and external relationships. Understand junction objects, indirect lookup fields, and how relationship type affects roll-up summaries, cascade delete, and record access.
Large Data Volume (LDV) Strategies
Know how to handle LDV: skinny tables, custom indexes, selective queries, division archiving, and big objects. Understand what causes a full table scan and how to prevent query timeouts.
Data Quality & Duplicate Management
Know Duplicate Rules, Matching Rules, and how they interact. Understand how to use Data.com clean rules (legacy knowledge), field validation, and data stewardship processes for ongoing data quality.
Data Migration Architecture
Plan migration using external IDs (upsert strategy), parent-before-child load order, and the appropriate API (Bulk API for volume, REST for real-time). Understand data validation and rollback strategies.
Master Data Management
Know MDM patterns: Registry, Consolidation, and Coexistence. Understand how to implement a golden record strategy, handle conflicting records, and synchronize master data across systems.
Is the Salesforce Certified Platform Data Architect (ARC-801) Exam Hard?
DifficultyChallenging; plan about 8-16 weeks of focused prep.
Book When ReadyScore 85%+ on three timed mocks before scheduling.
Use Practice, Not DumpsOriginal practice questions build skill without risking your credential.
Exam format: 60 questions, 105 min, 58% passing score.
Get the Full ARC-801 Question Bank
Most candidates book the exam after scoring 75%+ on full mocks.
If you’re planning to test this quarter, aim to complete full mocks at least 10–14 days before your exam date.
Want to ensure you pass on your first try? Contact us for more information on our full 60-question mock exams and a personalized study plan. You can also reach out to km.krishnamohan25@gmail.com.
Request Mock Exams & Study PlanSalesforce Certified Platform Data Architect (ARC-801) Exam FAQs
- What is covered on the Salesforce Certified Platform Data Architect (ARC-801) exam?
- The Salesforce Certified Platform Data Architect (ARC-801) exam—formerly Salesforce Certified Data Architect— covers section-wise weightage as shown above. Use the exam topics and practice questions on this page to align your study with the official outline.
- What certifications do I need before Data Architect?
- You need both Application Architect and System Architect certifications before you can earn the Data Architect credential. The Data Architect certification is part of the Technical Architect path.
Next Architect Certifications
After this architect certification, progress toward CTA or other architect domains: