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Salesforce Data-Architect Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Governance and Compliance20%- Data governance framework
  • 1. Data quality standards
  • 2. Data stewardship and ownership
  • 3. Compliance and regulatory requirements
- Data lifecycle management
  • 1. Data classification and handling
  • 2. Data retention and archiving policies
  • 3. Data privacy and security
Topic 2: Salesforce Data Management25%- Data import and export strategies
  • 1. Migration planning and execution
  • 2. Data validation and cleansing
  • 3. Tools: Data Loader, Import Wizard, Bulk API
- Sharing and visibility design
  • 1. Sharing rules, manual sharing, Apex sharing
  • 2. Organization-wide defaults, role hierarchy
  • 3. Data access and security model
Topic 3: Data Integration and Master Data Management10%- Master data management
  • 1. Data synchronization and consistency
  • 2. MDM strategy and implementation
  • 3. Single source of truth design
- Integration patterns and tools
  • 1. REST, SOAP, and Bulk API usage
  • 2. External data sources and objects
  • 3. Real-time vs batch integration
Topic 4: Large Data Volume Considerations20%- Storage and optimization
  • 1. Storage limits and management
  • 2. Archiving and off-platform storage
  • 3. Performance tuning techniques
- Performance and scalability
  • 1. Governor limits and bulk processing
  • 2. Avoiding and resolving data skew
  • 3. Handling millions of records
Topic 5: Data Modeling and Database Design25%- Design scalable data models
  • 1. Custom and standard object design
  • 2. Object relationships and cardinality
  • 3. Data model optimization for performance
- Indexing and data structure
  • 1. Standard and custom indexes
  • 2. Skinny tables and big objects
  • 3. Query optimization strategies

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2026 Reliable Data-Architect Exam Labs | Latest Data-Architect: Salesforce Certified Data Architect 100% Pass

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Salesforce Certified Data Architect Sample Questions (Q243-Q248):

NEW QUESTION # 243
Northern Trail Outfitters <NTO> is streaming IoT data from connected devices to a cloud database. Every 24 hours. 100,000 records are generated.
NIO employees will need to see these lol records within Salesforce and generate weekly reports on it. Developers may also need to write programmatic logic to aggregate the records and incorporate them into workflows.
Which data pattern will allow a data architect to satisfy these requirements, while also keeping limits in mind?

Answer: C

Explanation:
Persistence is the data pattern that will allow a data architect to satisfy the requirements, while also keeping limits in mind. Persistence means storing data from external sources in Salesforce objects, either standard or custom. This allows you to access the data within Salesforce and use it for reporting, analytics, workflows, and other features. Persistence also helps you avoid hitting API limits or performance issues when accessing large volumes of data from external systems. You can use various tools such as Data Loader, Bulk API, or Platform Events to persist IoT data from connected devices to a cloud database in Salesforce.


NEW QUESTION # 244
NTO would like to retrieve their SF orgs meta data programmatically for backup within a various external. Which API is the best fit for accomplishing this task?

Answer: C

Explanation:
The best API for retrieving Salesforce org metadata programmatically is the Metadata API. The Metadata API provides access to the metadata that defines the structure and configuration of an org, such as custom objects, fields, workflows, security settings, etc. It also supports deploying, retrieving, creating, updating, and deleting metadata components. The Metadata API can be used with various tools, such as Ant, Workbench, or IDEs.


NEW QUESTION # 245
Northern Trail Outfitters (NTO) plans to maintain contact preferences for customers and employees. NTO has implemented the following:
1. Customers are Person Accounts for their retail business.
2. Customers are represented as Contacts for their commercial business.
3. Employees are maintained as Users.
4. Prospects are maintained as Leads.
NTO needs to implement a standard communication preference management model for Person Accounts, Contacts, Users, and Leads.
Which option should the data architect recommend NTO to satisfy this requirement?

Answer: A


NEW QUESTION # 246
A data architect is working with a large B2C retailer and needs to model the consumer account structure in Salesforce.
What standard feature should be selected in this scenario?

Answer: B

Explanation:
According to this article, person accounts are designed to store information about individual people by combining certain account and contact fields into a single record. This is suitable for a large B2C retailer that needs to model the consumer account structure in Salesforce.


NEW QUESTION # 247
Cloud Kicks has the following requirements:
* Their Shipment custom object must always relate to a Product, a Sender, and a Receiver (all separate custom objects).
* If a Shipment is currently associated with a Product, Sender, or Receiver, deletion of those records should not be allowed.
* Each custom object must have separate sharing models.
What should an Architect do to fulfill these requirements?

Answer: A

Explanation:
A required Lookup relationship ensures that the Shipment record must have a value for each of the three parent records, and also prevents the deletion of those parent records if they are referenced by a Shipment record. A Master-Detail relationship would not allow separate sharing models for each custom object, and a VLOOKUP formula field would not enforce the relationship or prevent deletion


NEW QUESTION # 248
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