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Salesforce Data-Architect Exam Syllabus Topics:

SectionWeightObjectives
Data Governance and Compliance20%- Data lifecycle management
  • 1. Data retention and archiving policies
  • 2. Data privacy and security
  • 3. Data classification and handling
- Data governance framework
  • 1. Compliance and regulatory requirements
  • 2. Data stewardship and ownership
  • 3. Data quality standards
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%- Performance and scalability
  • 1. Avoiding and resolving data skew
  • 2. Governor limits and bulk processing
  • 3. Handling millions of records
- Storage and optimization
  • 1. Performance tuning techniques
  • 2. Storage limits and management
  • 3. Archiving and off-platform storage
Data Integration and Master Data Management10%- Master data management
  • 1. MDM strategy and implementation
  • 2. Single source of truth design
  • 3. Data synchronization and consistency
- Integration patterns and tools
  • 1. REST, SOAP, and Bulk API usage
  • 2. External data sources and objects
  • 3. Real-time vs batch integration
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

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Salesforce Certified Data Architect Sample Questions (Q170-Q175):

NEW QUESTION # 170
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: A

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 # 171
Universal Containers (UC) management has identified a total of ten text fields on the Contact object as important to capture any changes made to these fields, such as who made the change, when they made the change, what is the old value, and what is the new value. UC needs to be able to report on these field data changes within Salesforce for the past 3 months. What are two approaches that will meet this requirement?
Choose 2 answers

Answer: A,B

Explanation:
To capture and report on any changes made to ten text fields on the Contact object for the past 3 months, the data architect should write an Apex trigger on Contact after insert and after update events and store the old values in another custom object, or turn on field Contact object history tracking for these ten fields and create reports on contact history. An Apex trigger can capture the old and new values of the fields, as well as the user and time of the change, and store them in a custom object that can be used for reporting. Field history tracking can also track the changes to the fields and store them in a history table that can be used for reporting.
However, field history tracking only retains data for up to 18 months or 24 months with an extension, so it may not be suitable for longer-term reporting needs. The other options are not feasible or effective for capturing and reporting on field data changes.


NEW QUESTION # 172
What makes Skinny tables fast? Choose three answers.

Answer: A,B,E


NEW QUESTION # 173
NTO has outgrown its current salesforce org and will be migrating to new org shortly. As part of this process NTO will be migrating all of its metadata and dat a. NTO's data model in the source org has a complex relationship hierarchy with several master detail and lookup relationships across objects, which should be maintained in target org.
What 3 things should a data architect do to maintain the relationship hierarchy during migration?
Choose 3 answers:

Answer: B,D,E


NEW QUESTION # 174
A manager at Cloud Kicks is importing Leads into Salesforce and needs to avoid creating duplicate records.
Which two approaches should the manager take to achieve this goal? (Choose two.)

Answer: A,D


NEW QUESTION # 175
......

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