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Salesforce Data-Architect Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Large Data Volume Considerations20%- Storage and optimization
  • 1. Archiving and off-platform storage
  • 2. Storage limits and management
  • 3. Performance tuning techniques
- Performance and scalability
  • 1. Handling millions of records
  • 2. Governor limits and bulk processing
  • 3. Avoiding and resolving data skew
Topic 2: 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. Sharing rules, manual sharing, Apex sharing
  • 2. Organization-wide defaults, role hierarchy
  • 3. Data access and security model
Topic 3: Data Modeling and Database Design25%- Design scalable data models
  • 1. Custom and standard object design
  • 2. Data model optimization for performance
  • 3. Object relationships and cardinality
- Indexing and data structure
  • 1. Query optimization strategies
  • 2. Standard and custom indexes
  • 3. Skinny tables and big objects
Topic 4: Data Governance and Compliance20%- Data governance framework
  • 1. Data stewardship and ownership
  • 2. Data quality standards
  • 3. Compliance and regulatory requirements
- Data lifecycle management
  • 1. Data retention and archiving policies
  • 2. Data classification and handling
  • 3. Data privacy and security
Topic 5: Data Integration and Master Data Management10%- Master data management
  • 1. MDM strategy and implementation
  • 2. Data synchronization and consistency
  • 3. Single source of truth design
- 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 (Q241-Q246):

NEW QUESTION # 241
UC has millions of Cases and are running out of storage. Some user groups need to have access to historical cases for up to 7 years.
Which 2 solutions should a data architect recommend in order to minimize performance and storage issues?
Choose 2 answers:

Answer: B,C


NEW QUESTION # 242
A shipping and logistics company has created a large number of reports within Sales Cloud since Salesforce was introduced. Some of these reports analyze large amounts of data regarding the whereabouts of the company's containers, and they are starting to time out when users are trying to run the reports. What is a recommended approach to avoid these time-out issues?

Answer: B

Explanation:
Improving reporting performance by replacing the existing reports in Sales Cloud with new reports based on Analytics Cloud can avoid the time-out issues by leveraging the power and scalability of Analytics Cloud.
Analytics Cloud can handle large volumes of data and provide faster and more interactive reports than Sales Cloud .


NEW QUESTION # 243
UC is using SF CRM. UC sales managers are complaining about data quality and would like to monitor and measure data quality.
Which 2 solutions should a data architect recommend to monitor and measure data quality?
Choose 2 answers.

Answer: A,D


NEW QUESTION # 244
UC is planning a massive SF implementation with large volumes of dat
a. As part of the org's implementation, several roles, territories, groups, and sharing rules have been configured. The data architect has been tasked with loading all of the required data, including user data, in a timely manner.
What should a data architect do to minimize data load times due to system calculations?

Answer: B

Explanation:
The correct answer is A, enable defer sharing calculations, and suspend sharing rule calculations. Defer sharing calculations and suspend sharing rule calculations are features that allow you to temporarily disable the automatic recalculation of sharing rules when you load large volumes of data. This can improve the performance and speed of your data load process by avoiding unnecessary system calculations. Loading the data through data loader, leveraging the bulk API, or enabling granular locking are also options that can help with data load times, but they do not directly address the system calculations issue.


NEW QUESTION # 245
Universal Containers (UC) has a custom discount request object set as a detail object with a custom product object as the master. There is a requirement to allow the creation of generic discount requests without the custom product object as its master record. What solution should an Architect recommend to UC?

Answer: B


NEW QUESTION # 246
......

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