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Salesforce Data-Architect Exam Syllabus Topics:

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

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Salesforce Certified Data Architect Sample Questions (Q200-Q205):

NEW QUESTION # 200
Universal Containers is integrating a new Opportunity engagement system with Salesforce. According to their Master Data Management strategy, Salesforce is the system of record for Account, Contact, and Opportunity dat a. However, there does seem to be valuable Opportunity data in the new system that potentially conflicts with what is stored in Salesforce. What is the recommended course of action to appropriately integrate this new system?

Answer: A

Explanation:
The recommended course of action to appropriately integrate the new Opportunity engagement system with Salesforce is to bring the stakeholders together to discuss the appropriate data strategy moving forward. This is because there may be valuable data in both systems that need to be reconciled and harmonized, and the Master Data Management (MDM) strategy may need to be revised or updated to accommodate the new system. The other options are not recommended, as they may result in data loss, inconsistency, or duplication


NEW QUESTION # 201
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: B,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 # 202
Universal Containers (UC) owns several Salesforce orgs across a variety of business units. UC management has declared that it needs the ability to report on Accounts and Opportunities from each org in one place. Once the data is brought together into a global view, management would like to use advanced Al-driven analytics on the dataset.
Which tool should a data architect recommend to accomplish this reporting requirement?

Answer: C

Explanation:
According to this article, Einstein Analytics for multi-org can help UC to report on accounts and opportunities from each org in one place. It can also provide advanced AI-driven analytics on the dataset using Einstein Discovery.


NEW QUESTION # 203
Universal Containers (UC) has 1,000 accounts and 50,000 opportunities. UC has an enterprise security requirement to export all sales data outside of Salesforce on a weekly basis. The security requirement also calls for exporting key operational data that includes events such as file downloads, logins, logouts, etc. Which two recommended approaches would address the above requirement?

Answer: B


NEW QUESTION # 204
All accounts and opportunities are created in Salesforce. Salesforce is integrated with three systems:
* An ERP system feeds order data into Salesforce and updates both Account and Opportunity records.
* An accounting system feeds invoice data into Salesforce and updates both Account and Opportunity records.
* A commission system feeds commission data into Salesforce and updates both Account and Opportunity records.
How should the architect determine which of these systems is the system of record?

Answer: A


NEW QUESTION # 205
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