Salesforce Data-Architect日本語 Exam Details & Actual Exam Questions
- Exam Code/Number: Data-Architect日本語
- Exam Name/Title: Salesforce Certified Data Architect (Data-Architect日本語版)
- Certification Provider: Salesforce
- Corresponding Certification: Salesforce Application Architect
- Exam Questions: 260
- Updated On: Jul,24 2026
- Certification Level: Architect
Salesforce Certified Data Architect (Data-Architect日本語版) Exam Questions
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Salesforce Data-Architect日本語 Exam Overview:
| Certification Vendor: | Salesforce |
| Exam Name: | Salesforce Certified Data Architect |
| Exam Number: | Data-Architect |
| Real Exam Qty: | 60 |
| Related Certifications: | Salesforce Certified Application Architect Salesforce Certified System Architect |
| Exam Price: | USD 400 |
| Exam Format: | Multiple-choice, Multiple-select |
| Available Languages: | English |
| Exam Duration: | 120 minutes |
| Passing Score: | ~68% |
| Sample Questions: | Salesforce Data-Architect日本語 Sample Questions |
| Exam Way: | Online proctored or onsite at a testing center |
| Pre Condition: | None |
| Official Syllabus URL: | https://www.salesforce.com/certifications/architect/data-architect/ |
Salesforce Data-Architect日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Modeling | 25% | - Big Objects and external objects - Large Data Volumes (LDV) design considerations - Normalization and denormalization strategies - Indexing strategies - Skinny tables for performance optimization |
| Topic 2: Master Data Management | 20% | - Data cleansing techniques - Data duplication and matching rules - Identity resolution |
| Topic 3: Data Architecture | 20% | - Performance tuning and optimization - Architecture patterns and design principles - Archiving and data lifecycle management - Governor limits and bulk processing |
| Topic 4: Data Integration | 15% | - Handling locks and parallelism during migration - ETL tools and data migration strategies - Sharing rules impact on data integration - API-based integration (REST, SOAP, Bulk API) - Real-time vs batch integration patterns |
| Topic 5: Data Governance | 20% | - Compliance and regulatory considerations - Data stewardship roles and responsibilities - Data retention and archiving policies - Data quality standards and metrics |
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