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Salesforce Data-Architect Exam Syllabus Topics:

SectionWeightObjectives
Large Data Volume Considerations20%- Storage and optimization
  • 1. Storage limits and management
  • 2. Performance tuning techniques
  • 3. Archiving and off-platform storage
- Performance and scalability
  • 1. Avoiding and resolving data skew
  • 2. Handling millions of records
  • 3. Governor limits and bulk processing
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. Data stewardship and ownership
  • 3. Compliance and regulatory requirements
Data Modeling and Database Design25%- Indexing and data structure
  • 1. Standard and custom indexes
  • 2. Skinny tables and big objects
  • 3. Query optimization strategies
- Design scalable data models
  • 1. Custom and standard object design
  • 2. Object relationships and cardinality
  • 3. Data model optimization for performance
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. Data synchronization and consistency
  • 2. Single source of truth design
  • 3. MDM strategy and implementation
Salesforce Data Management25%- Data import and export strategies
  • 1. Data validation and cleansing
  • 2. Tools: Data Loader, Import Wizard, Bulk API
  • 3. Migration planning and execution
- Sharing and visibility design
  • 1. Data access and security model
  • 2. Sharing rules, manual sharing, Apex sharing
  • 3. Organization-wide defaults, role hierarchy

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Salesforce Certified Data Architect Sample Questions (Q84-Q89):

NEW QUESTION # 84
Cloud Kicks needs to purge detailed transactional records from Salesforce. The data should be aggregated at a summary level and available in Salesforce.
What are two automated approaches to fulfill this goal? (Choose two.)

Answer: C,D

Explanation:
Both A and B are automated approaches to purge detailed transactional records from Salesforce and aggregate them at a summary level1. You can use a third-party integration tool (ETL) or schedulable batch Apex to perform these tasks. Option C is not correct because a third-party business intelligence system does not purge data from Salesforce, but only analyzes it. Option D is not correct because Apex triggers are not automated, but execute when a record is inserted, updated, deleted, or undeleted.


NEW QUESTION # 85
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,B

Explanation:
To build a custom big object to support storing more than 100 million records in Salesforce, a data architect should use Metadata API or Big Object in setup. Metadata API is an API that allows developers to create, retrieve, update, or delete metadata components in Salesforce programmatically. Big Object in setup is a user interface that allows admins to create big objects declaratively without writing code. Both tools can be used to define custom big objects and their fields, indexes, and relationships in Salesforce. Option A is incorrect because DX (Developer Experience) is a set of tools that allows developers to create and manage applications on Salesforce Platform, but it does not support creating big objects directly. Option D is incorrect because Object Manager in setup is a user interface that allows admins to create and manage standard and custom objects in Salesforce, but it does not support creating big objects declaratively.


NEW QUESTION # 86
Northern Trail outfitters in migrating to salesforce from a legacy CRM system that identifies the agent relationships in a look-up table.
What should the data architect do in order to migrate the data to Salesfoce?

Answer: A


NEW QUESTION # 87
Which API should a data architect use if exporting 1million records from Salesforce?

Answer: C


NEW QUESTION # 88
Universal Containers (UC) requires 2 years of customer related cases to be available on SF for operational reporting. Any cases older than 2 years and upto 7 years need to be available on demand to the Service agents. UC creates 5 million cases per yr.
Which 2 data archiving strategies should a data architect recommend? Choose 2 options:

Answer: A,B

Explanation:
The best data archiving strategies for UC are to use Big objects and Heroku with external objects. Big objects allow storing large amounts of data on the Salesforce platform without affecting performance or storage limits. They also support point-and-click tools, triggers, and Apex code. Heroku is a cloud platform that can host external databases and integrate with Salesforce using external objects. External objects enable on-demand access to external data sources via standard Salesforce APIs and user interfaces. Using bulk API to hard delete cases from Salesforce will free up storage space and improve performance.


NEW QUESTION # 89
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