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Salesforce Data-Architect Exam Syllabus Topics:

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

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Salesforce Certified Data Architect Sample Questions (Q104-Q109):

NEW QUESTION # 104
Universal Containers (UC) wants to capture information on how data entities are stored within the different applications and systems used within the company. For that purpose, the architecture team decided to create a data dictionary covering the main business domains within UC. Which two common techniques are used building a data dictionary to store information on how business entities are defined?

Answer: A,B


NEW QUESTION # 105
An architect has been asked by a client to develop a solution that will integrate data and resolve duplicates and discrepancies between Salesforce and one or more external systems. What two factors should the architect take into consideration when deciding whether or not to use a Master Data Management system to achieve this solution?
Choose 2 answers

Answer: A,C

Explanation:
Whether the system of record changes for different tables and the number of systems that are integrating with each other are two factors that the architect should take into consideration when deciding whether or not to use a Master Data Management system to achieve the solution of integrating data and resolving duplicates and discrepancies between Salesforce and one or more external systems. The system of record is the authoritative source of truth for a given entity or field in a given context. If different systems have different systems of record for different tables, then a Master Data Management system can help to manage and synchronize the data across systems and ensure data quality and consistency. The number of systems that are integrating with each other is another factor that affects the complexity and scalability of the integration solution. If there are many systems that need to integrate with each other, then a Master Data Management system can provide a centralized and standardized way of integrating data and resolving duplicates and discrepancies across systems. The other factors are not relevant or important for deciding whether or not to use a Master Data Management system, as they do not affect the data quality or integration challenges that a Master Data Management system can address.


NEW QUESTION # 106
A large multinational B2C Salesforce customer is looking to implement their distributor management application is Salesforce. the application has the following capabilities:
1.Distributor create sales order in salesforce
2.Sales order are based on product prices applicable to their region
3. Sales order are closed once they are fulfilled
4. It is decided to maintain the order in opportunity object
How should the data architect model this requirement?

Answer: C

Explanation:
According to the Salesforce documentation, an opportunity is a standard object that represents a potential sale or deal with an account or contact. An opportunity can have products and prices associated with it using price books. A price book is a standard object that contains a list of products and their prices for different regions, currencies, segments, etc. A price book can be shared with different users or groups based on their visibility and access settings.
To model the requirement of implementing a distributor management application in Salesforce, where distributors create sales orders based on product prices applicable to their region, and sales orders are closed once they are fulfilled, a data architect should:
Configure price books for each region and share with distributors (option B). This means creating different price books for different regions with the appropriate products and prices, and sharing them with the distributors who belong to those regions. This way, distributors can create sales orders (opportunities) using the price books that are relevant to their region.
Creating a lookup to Custom Price object and sharing with distributors (option A) is not a good solution, as it can introduce unnecessary complexity and redundancy to the data model. It is better to use standard objects and features that are designed for managing products and prices in Salesforce. Manually updating opportunities with prices applicable to distributors (option C) is also not a good solution, as it can be time-consuming, error-prone, and inefficient. It is better to use automation tools or features that can update prices based on predefined criteria or logic. Adding custom fields in opportunity and using triggers to update prices (option D) is also not a good solution, as it can be complex, costly, and difficult to maintain. It is better to use standard fields and features that can handle prices more effectively.


NEW QUESTION # 107
Northern Trail Outfitters has these simple requirements for a data export process:
File format should be in CSV.
Process should be scheduled and run once per week.
The expert should be configurable through the Salesforce UI.
Which tool should a data architect leverage to accomplish these requirements?

Answer: A

Explanation:
The correct answer is B, data export wizard. The data export wizard is a tool that allows you to export your data in CSV format, schedule the export process to run once per week, and configure the export settings through the Salesforce UI. The data export wizard can handle up to 51 million records per export. The bulk API, third-party ETL tools, and data loader are also tools that can export data, but they are not as simple or user-friendly as the data export wizard.


NEW QUESTION # 108
UC migrating 100,000 Accounts from an enterprise resource planning (ERP) to salesforce and is concerned about ownership skew and performance.
Which 3 recommendations should a data architect provide to prevent ownership skew?
Choose 3 answers:

Answer: A,C,D


NEW QUESTION # 109
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