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Salesforce Data-Architect Exam Syllabus Topics:

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

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Salesforce Certified Data Architect Sample Questions (Q222-Q227):

NEW QUESTION # 222
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: B


NEW QUESTION # 223
Universal Containers (UC) has lead assignment rules to assign leads to owners. Leads not routed by assignment rules are assigned to a dummy user. Sales rep are complaining of high load times and issues with accessing leads assigned to the dummy user.
What should a data architect recommend to solve these performance issues?

Answer: B

Explanation:
According to the official Salesforce guide 1 , assigning leads to a single dummy user can cause performance issues and data skew, especially if the dummy user owns more than 10,000 records. Data skew occurs when a single user or a small number of users own a disproportionately large number of records, which can affect query performance and sharing calculations. Option B is the correct answer because it suggests creating multiple dummy users and assigning leads to them, which can distribute the load and reduce data skew.
Option A is incorrect because assigning the dummy user to the last role in the role hierarchy does not affect the performance or data skew issues. Option C is incorrect because assigning the dummy user to the highest role in the role hierarchy can worsen the performance and data skew issues, as it will grant access to more users and records. Option D is incorrect because periodically deleting leads can cause data loss and does not address the root cause of the problem.


NEW QUESTION # 224
UC has a requirement to migrate 100 million order records from a legacy ERP application into the salesforce platform. UC does not have any requirements around reporting on the migrated data.
What should a data architect recommend to reduce the performance degradation of the platform?

Answer: D

Explanation:
Implementing a custom big object to store the data is the best recommendation to reduce the performance degradation of the platform, as it allows storing large volumes of data that do not need real-time access or reporting. Custom big objects can be defined using metadata API or developer console, and support up to 1 billion records per object. Creating a custom object or using the standard order object would consume a lot of storage space and impact the performance of queries and reports. Using a standard big object defined by salesforce would not be applicable for order records, as standard big objects are predefined for specific use cases such as audit trails or field history.


NEW QUESTION # 225
Universal Container has implemented Sales Cloud to manage patient and related health records. During a recent security audit of the system it was discovered that same standard and custom fields need to encrypted.
Which solution should a data architect recommend to encrypt existing fields?

Answer: C


NEW QUESTION # 226
Get Cloudy Consulting needs to evaluate the completeness and consistency of contact information in Salesforce. Their sales reps often have incomplete information about their accounts and contacts.
Additionally, they are not able to interpret the information in a consistent manner. Get Cloudy Consulting has identified certain " " key " " fields which are important to their sales reps.
What are two actions Get Cloudy Consulting can take to review their data for completeness and consistency?
(Choose two.)

Answer: A,C

Explanation:
Running a report that shows the last time the key fields were updated can help Get Cloudy Consulting identify stale or outdated data and prioritize data cleansing activities. Running a report that shows the percentage of blanks for the important fields can help Get Cloudy Consulting measure the completeness of their data and identify gaps or missing value


NEW QUESTION # 227
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