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Salesforce Data-Architect Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Architecture20%- Architecture patterns and design principles
- Performance tuning and optimization
- Archiving and data lifecycle management
- Governor limits and bulk processing
Topic 2: Data Modeling25%- Large Data Volumes (LDV) design considerations
- Indexing strategies
- Normalization and denormalization strategies
- Big Objects and external objects
- Skinny tables for performance optimization
Topic 3: Data Governance20%- Compliance and regulatory considerations
- Data retention and archiving policies
- Data quality standards and metrics
- Data stewardship roles and responsibilities
Topic 4: Data Integration15%- Real-time vs batch integration patterns
- Sharing rules impact on data integration
- Handling locks and parallelism during migration
- API-based integration (REST, SOAP, Bulk API)
- ETL tools and data migration strategies
Topic 5: Master Data Management20%- Data cleansing techniques
- Data duplication and matching rules
- Identity resolution

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Salesforce Certified Data Architect Sample Questions (Q92-Q97):

NEW QUESTION # 92
Which three characteristics of a Skinny table help improve report and query performance?

Answer: C,D,E


NEW QUESTION # 93
Developers at Universal Containers need to build a report for the business which displays Accounts opened in the past year grouped by industry. This report will also include information from contacts, opportunities, and orders. There are several million Accounts in the system. Which two options should be recommended to make this report perform well and satisfy the business need?

Answer: A,C


NEW QUESTION # 94
Universal Containers (UC) is a business that works directly with individual consumers (B2C). They are moving from a current home-grown CRM system to Salesforce. UC has about one million consumer records.
What should the architect recommend for optimal use of Salesforce functionality and also to avoid data loading issues?

Answer: D

Explanation:
According to the exam guide, one of the objectives is to " describe best practices for implementing a single- org strategy in a B2C scenario " 1 . This implies that option D is the best practice for loading individual consumers as contacts in Salesforce. This approach avoids creating unnecessary accounts and reduces data duplication. Option C is not correct because it creates one account per contact, which increases data volume and complexity. Options A and B are not correct because they do not leverage the standard contact object, which provides native functionality and integration with other Salesforce features.


NEW QUESTION # 95
Universal Containers has a requirement to store more than 100 million records in salesforce and needs to create a custom big object to support this business requirement.
Which two tools should a data architect use to build custom object?

Answer: A,C


NEW QUESTION # 96
UC has a legacy client server app that as a relational data base that needs to be migrated to salesforce.
What are the 3 key actions that should be done when data modeling in salesforce?
Choose 3 answers:

Answer: A,B,D

Explanation:
According to the Data Modeling unit on Trailhead, some of the key actions that should be done when data modeling in Salesforce are identifying data elements, mapping legacy data, and implementing legacy data model. The unit states that "Before you start creating objects and fields in Salesforce, you need to identify the data elements that you want to store and work with. ... Next, you need to map your legacy data to Salesforce objects and fields. ... Finally, you need to implement your data model in Salesforce by creating custom objects and fields using declarative tools or Metadata API." Therefore, these are the correct actions for migrating a legacy client server app to Salesforce.


NEW QUESTION # 97
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