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Salesforce Data-Architect Exam Syllabus Topics:

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

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Salesforce Certified Data Architect Sample Questions (Q46-Q51):

NEW QUESTION # 46
Universal Containers (UC) management has identified a total of ten text fields on the Contact object as important to capture any changes made to these fields, such as who made the change, when they made the change, what is the old value, and what is the new value. UC needs to be able to report on these field data changes within Salesforce for the past 3 months. What are two approaches that will meet this requirement?
Choose 2 answers

Answer: B,C

Explanation:
To capture and report on any changes made to ten text fields on the Contact object for the past 3 months, the data architect should write an Apex trigger on Contact after insert and after update events and store the old values in another custom object, or turn on field Contact object history tracking for these ten fields and create reports on contact history. An Apex trigger can capture the old and new values of the fields, as well as the user and time of the change, and store them in a custom object that can be used for reporting. Field history tracking can also track the changes to the fields and store them in a history table that can be used for reporting. However, field history tracking only retains data for up to 18 months or 24 months with an extension, so it may not be suitable for longer-term reporting needs. The other options are not feasible or effective for capturing and reporting on field data changes.


NEW QUESTION # 47
UC needs to load a large volume of leads into salesforce on a weekly basis. During this process the validation rules are disabled.
What should a data architect recommend to ensure data quality is maintained in salesforce.

Answer: A

Explanation:
Ensuring the lead data is preprocessed for quality before loading into Salesforce is the best way to maintain data quality2. Activating validation rules after the load or developing a custom Apex batch process may not catch all the errors or may require additional time and resources. Allowing validation rules to be activated during the load may cause failures or delays.


NEW QUESTION # 48
An architect has been asked to provide error messages when a future date is detected in a custom Birthdate _c field on the Contact object. The client wants the ability to translate the error messages. What are two approaches the architect should use to achieve this solution? Choose 2 answers

Answer: C,D


NEW QUESTION # 49
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 # 50
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: C,D

Explanation:
Using an indexed data field with bounded data filters can improve the report performance by making the query more selective and reducing the number of records to scan. Using formula fields to surface information from related entities on the report can also enhance the report performance by avoiding joins and complex calculations


NEW QUESTION # 51
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