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Salesforce Data-Architect Exam Syllabus Topics:

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

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Salesforce Certified Data Architect Sample Questions (Q147-Q152):

NEW QUESTION # 147
Universal Containers (UC) wants to store product data in Salesforce, but the standard Product object does not support the more complex hierarchical structure which is currently being used in the product master system. How can UC modify the standard Product object model to support a hierarchical data structure in order to synchronize product data from the source system to Salesforce?

Answer: D


NEW QUESTION # 148
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: B

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 # 149
Universal Containers (UC) is concerned that data is being corrupted daily either through negligence or maliciousness. They want to implement a backup strategy to help recover any corrupted data or data mistakenly changed or even deleted. What should the data architect consider when designing a field -level audit and recovery plan?

Answer: D

Explanation:
Option C is the best answer because reviewing projected data storage needs is an important step in designing a field-level audit and recovery plan1. You need to estimate how much data storage you will need in the future and plan accordingly. Option A is not correct because reducing data storage by purging old data may not be sufficient or desirable for backup purposes. Option B is not correct because implementing an AppExchange package may not be customized or compatible with your org's requirements. Option D is not correct because scheduling a weekly export file may not be frequent or granular enough for field-level audit and recovery.


NEW QUESTION # 150
Universal Containers (UC) has a complex system landscape and is implementing a data governance program for the first time Which two first steps would be appropriate for UC to initiate an assessment of data architecture? Choose 2 answers

Answer: A,D

Explanation:
Engaging with executive sponsorship to assess enterprise data strategy and goals, and engaging with business units and IT to assess current operational systems and data models are two first steps that would be appropriate for UC to initiate an assessment of data architecture. These steps will help to understand the current state of data management, the business needs and expectations, and the gaps and opportunities for improvement. Engaging with IT program managers to assess current velocity of projects in the pipeline, and engaging with database administrators to assess current database performance metrics are not relevant steps for assessing data architecture, as they are more related to project management and technical performance.


NEW QUESTION # 151
Universal Containers (UC) wants to store product data in Salesforce, but the standard Product object does not support the more complex hierarchical structure which is currently being used in the product master system. How can UC modify the standard Product object model to support a hierarchical data structure in order to synchronize product data from the source system to Salesforce?

Answer: D

Explanation:
Creating a custom lookup field on the standard Product to reference the parent record in the hierarchy is the correct way to modify the standard Product object model to support a hierarchical data structure. This allows UC to create a self-relationship on the Product object and define parent-child relationships among products.


NEW QUESTION # 152
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