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Salesforce Data-Architect Exam Syllabus Topics:

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

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Salesforce Certified Data Architect Sample Questions (Q168-Q173):

NEW QUESTION # 168
UC recently migrated 1 Billion customer related records from a legacy data store to Heroku Postgres. A subset of the data need to be synchronized with salesforce so that service agents are able to support customers directly within the service console. The remaining non- synchronized set of data will need to be accessed by salesforce at any point in time, but UC management is concerned about storage limitations.
What should a data architect recommend to meet these requirements with minimal effort?

Answer: A


NEW QUESTION # 169
Universal Containers (UC) has deployed Salesforce to manage Marketing. Sales, and Support efforts in a multi -system ERP environment After reaching the limits of native reports & dashboards. UC leadership is looking to understand what options can be used to provide more analytical insights. What two approaches should an architect recommend? Choose 2 answers

Answer: B,D

Explanation:
According to the exam guide, one of the objectives is to "describe the use cases and considerations for using AppExchange apps and Wave Analytics"1. This implies that options A and B are both valid approaches to provide more analytical insights. Option C is not correct because weekly snapshots are used to track changes over time, not to provide advanced analytics3. Option D is not correct because setup audit trails are used to monitor changes in the setup menu, not to provide analytical insights.


NEW QUESTION # 170
Universal Containers has deployed Salesforce for case management The company is having difficulty understanding what percentage of cases are resolved from the initial call to their support organization. What first step is recommended to implement a reporting solution to measure the support reps case closure rates?

Answer: D


NEW QUESTION # 171
Get Cloudy Consulting is migrating their legacy system's users and data to Salesforce. They will be creating
15,000 users, 1.5 million Account records, and 15 million Invoice records. The visibility of these records is controlled by a 50 owner and criteria-based sharing rules.
Get Cloudy Consulting needs to minimize data loading time during this migration to a new organization.
Which two approaches will accomplish this goal? (Choose two.)

Answer: C,D

Explanation:
Creating the users, uploading all data, and then deploying the sharing rules will reduce the number of sharing recalculations that occur during the data load. Deferring sharing calculations until the data has finished uploading will also improve the performance by postponing the sharing rule evaluation. These are the recommended best practices for loading large data sets into Salesforce


NEW QUESTION # 172
Universal Containers (UC) uses Salesforce for tracking opportunities (Opportunity). UC uses an internal ERP system for tracking deliveries and invoicing. The ERP system supports SOAP API and OData for bi-directional integration between Salesforce and the ERP system. UC has about one million opportunities. For each opportunity, UC sends 12 invoices, one per month. UC sales reps have requirements to view current invoice status and invoice amount from the opportunity page. When creating an object to model invoices, what should the architect recommend, considering performance and data storage space?

Answer: A


NEW QUESTION # 173
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