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Salesforce Data-Architect Exam Syllabus Topics:

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

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Salesforce Certified Data Architect Sample Questions (Q107-Q112):

NEW QUESTION # 107
Universal Containers has been a customer of Salesforce for 10 years. Currently they have 2 million accounts in the system. Due to an erroneous integration built 3 years ago, it is estimated there are 500,000 duplicates in the system.
Which solution should a data architect recommend to remediate the duplication issue?

Answer: B


NEW QUESTION # 108
UC is planning a massive SF implementation with large volumes of data. 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: C

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 # 109
Northern Trail Outfitter has implemented Salesforce for its associates nationwide, Senior management is concerned that the executive dashboard are not reliable for their real-time decision-making. On analysis , the team the following issues with data entered in Salesforce.
Information in certain records is incomplete.
Incorrect entry in certain fields causes records to be excluded in report fitters.
Duplicate entries cause incorrect counts.
Which three steps should a data architect recommend to address the issues?

Answer: A,B,D


NEW QUESTION # 110
A large retail company has recently chosen SF as its CRM solution. They have the following record counts:
2500000 accounts
25000000 contacts
When doing an initial performance test, the data architect noticed an extremely slow response for reports and list views.
What should a data architect do to solve the performance issue?

Answer: D

Explanation:
The correct answer is B, add custom indexes on frequently searched account and contact object fields. Custom indexes are a way to improve the performance of your queries and reports by creating indexes on specific fields that are often used in filters or joins. By adding custom indexes on frequently searched account and contact object fields, you can speed up the response time for reports and list views. Loading only the data that users are permitted to access, limiting data loading to the 2000 most recent records, or creating a skinny table are also possible solutions, but they are either not feasible, not scalable, or not supported by Salesforce.


NEW QUESTION # 111
UC has multiple SF orgs that are distributed across regional branches. Each branch stores local customer data inside its org's Account and Contact objects. This creates a scenario where UC is unable to view customers across all orgs.
UC has an initiative to create a 360-degree view of the customer, as UC would like to see Account and Contact data from all orgs in one place.
What should a data architect suggest to achieve this 360-degree view of the customer?

Answer: B


NEW QUESTION # 112
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