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Salesforce Data-Architect Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Governance and Compliance20%- Data governance framework
  • 1. Compliance and regulatory requirements
  • 2. Data stewardship and ownership
  • 3. Data quality standards
- Data lifecycle management
  • 1. Data retention and archiving policies
  • 2. Data classification and handling
  • 3. Data privacy and security
Topic 2: 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
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. Standard and custom indexes
  • 2. Query optimization strategies
  • 3. Skinny tables and big objects
Topic 4: Large Data Volume Considerations20%- Storage and optimization
  • 1. Archiving and off-platform storage
  • 2. Performance tuning techniques
  • 3. Storage limits and management
- Performance and scalability
  • 1. Avoiding and resolving data skew
  • 2. Governor limits and bulk processing
  • 3. Handling millions of records
Topic 5: Salesforce Data Management25%- Sharing and visibility design
  • 1. Organization-wide defaults, role hierarchy
  • 2. Sharing rules, manual sharing, Apex sharing
  • 3. Data access and security model
- Data import and export strategies
  • 1. Data validation and cleansing
  • 2. Migration planning and execution
  • 3. Tools: Data Loader, Import Wizard, Bulk API

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Salesforce Certified Data Architect Sample Questions (Q135-Q140):

NEW QUESTION # 135
NTO has multiple systems across its enterprise landscape including salesforce, with disparate version the customer records.
In salesforce, the customer is represented by the contact object.
NTO utilizes an MDM solution with these attributes:
1. The MDM solution keeps track of customer master with a master key.
2. The master key is a map to the record ID's from each external system that customer data is stored within.
3. The MDM solution provides de-duplication features, so it acts as the single source of truth.
How should a data architect implement the storage of master key within salesforce?

Answer: C


NEW QUESTION # 136
Northern Trail Outfitters (NTO) has implemented Salesforce for its sales users. The opportunity management in Saiesforce Is implemented as follows:
1. Sales users enter their opportunities in Salesforce for forecasting and reporting purposes.
2. NTO has a product pricing system (PPS) that is used to update the Opportunity Amount field on opportunities on a daily basis.
3. PPS is the trusted source within NTO for Opportunity Amount.
4. NTO uses Opportunity Forecast for its sales planning and management.
Sales users have noticed that their updates to the Opportunity Amount field are overwritten when PPS updates their opportunities.
How should a data architect address this overwriting issue?

Answer: A

Explanation:
Changing Opportunity Amount field access to Read Only for sales users field-level security (option C) is the best way to address the overwriting issue, as it prevents sales users from updating the field that is controlled by PPS, and ensures data consistency and accuracy. Creating a custom field for Opportunity amount that PSS updates separating the field sales user updates (option A) or creating a custom field for Opportunity amount that sales users update separating the field that PPS updates (option D) are not good solutions, as they may create confusion and inconsistency with the Opportunity Forecast feature. Changing PSS integration to update only Opportunity Amount field when the value is null (option B) is also not a good solution, as it may cause data loss or conflicts with the sales users' inputs.


NEW QUESTION # 137
Universal Containers (UC) requires 2 years of customer related cases to be available on SF for operational reporting. Any cases older than 2 years and upto 7 years need to be available on demand to the Service agents.
UC creates 5 million cases per yr.
Which 2 data archiving strategies should a data architect recommend? Choose 2 options:

Answer: B,D

Explanation:
The best data archiving strategies for UC are to use Big objects and Heroku with external objects. Big objects allow storing large amounts of data on the Salesforce platform without affecting performance or storage limits.
They also support point-and-click tools, triggers, and Apex code. Heroku is a cloud platform that can host external databases and integrate with Salesforce using external objects. External objects enable on-demand access to external data sources via standard Salesforce APIs and user interfaces. Using bulk API to hard delete cases from Salesforce will free up storage space and improve performance.


NEW QUESTION # 138
UC has migrated its Back-office data into an on-premise database with REST API access. UC recently implemented Sales cloud for its sales organization. But users are complaining about a lack of order data inside SF.
UC is concerned about SF storage limits but would still like Sales cloud to have access to the data.
Which design patterns should a data architect select to satisfy the requirement?

Answer: D

Explanation:
The best design pattern to satisfy the requirement of accessing order data from an on-premise database with REST API access without consuming SF storage limits is to use SF Connect to virtualize the data in SF and avoid storage limits. SF Connect is an integration tool that allows users to access and integrate data from external sources using external objects. External objects are similar to custom objects, except that the data resides in another system and is accessed in real time via web service callouts. SF Connect supports various adapters to connect to different types of external data sources, such as OData, cross-org, or Apex custom adapter11. Migrate and persist the data in SF to take advantage of native functionality is not a good option because it would consume SF storage limits and require data synchronization between systems. Develop a bidirectional integration between the on-premise system and Salesforce is not a good option because it would be complex and costly to implement and maintain, and it would also consume SF storage limits. Build a UI for the on-premise system and iframe it in Salesforce is not a good option because it would not provide a seamless user experience and it would not allow users to search, report, or perform actions on the external data.


NEW QUESTION # 139
Universal Container require all customers to provide either a phone number of an email address when registering for an account.
What should the data architect use to ensure this requirement is met?

Answer: A


NEW QUESTION # 140
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