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Salesforce Data-Architect Exam Syllabus Topics:

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

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Salesforce Certified Data Architect Sample Questions (Q63-Q68):

NEW QUESTION # 63
Universal Containers (UC) is going thought major reorganization of their sales team. This would require changes to a large a number of group members and sharing rules. UCs administrator is concerned about long processing time and failure during the process.
What should a Data architect implement to make changes efficiently?

Answer: B

Explanation:
The correct answer is B. To make changes efficiently, a data architect should enable Defer Sharing Calculation prior to making sharing rule changes. This will allow the administrator to make multiple changes to sharing rules without recalculating them after each change, which can take a long time and cause failures.
The sharing rules can be recalculated later when there are fewer users online or during off-peak hours. Option A is incorrect because logging a case with salesforce to make sharing rule changes will not speed up the process or prevent failures. Option C is incorrect because deleting old sharing rules and building new sharing rules will not reduce the processing time or failure rate. Option D is incorrect because logging out all users and making changes to sharing rules will disrupt the business operations and may not be feasible.


NEW QUESTION # 64
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: C

Explanation:
Using a validation rule is the best way to ensure that all customers provide either a phone number or an email address when registering for an account, as it allows defining a formula that evaluates whether a record meets certain criteria. Using required fields may not work if both phone number and email address are required. Using an Apex class or a Process Builder may be more complex or cumbersome than using a validation rule.


NEW QUESTION # 65
UC has a roll-up summary field on Account to calculate the count of contacts associated with an account. During the account load, SF is throwing an "Unable to lock a row" error.
Which solution should a data architect recommend, to resolve the error?

Answer: D


NEW QUESTION # 66
NTO uses salesforce to manage relationships and track sales opportunities. It has 10 million customers and
100 million opportunities. The CEO has been complaining 10 minutes to run and sometimes failed to load, throwing a time out error.
Which 3 options should help improve the dashboard performance?
Choose 3 answers:

Answer: A,D,E

Explanation:
To improve the dashboard performance, the data architect should use selective queries to reduce the amount of data being returned, de-normalize the data by reducing the number of joins, and reduce the amount of data queried by archiving unused opportunity records. These options will help optimize the query performance, reduce the query complexity, and free up storage space. Option C is incorrect because removing widgets from the dashboard to reduce the number of graphics loaded will not affect the dashboard performance significantly, and may reduce the usability and functionality of the dashboard. Option D is incorrect because running the dashboard for CEO and sending it via email will not improve the dashboard performance, but rather shift the burden to another user.


NEW QUESTION # 67
As part of addressing general data protection regulation (GDPR) requirements, UC plans to implement a data classification policy for all its internal systems that stores customer information including salesforce.
What should a data architect recommend so that UC can easily classify consumer information maintained in salesforce under both standard and custom objects?

Answer: B

Explanation:
The correct answer is B, use data classification metadata fields available in field definition. Data classification metadata fields are standard fields that allow you to classify the sensitivity level of your data based on your organization's policies. You can use these fields to indicate whether a field contains confidential, restricted, or general data. These fields are available for both standard and custom objects in Salesforce. Using app exchange products, creating a custom picklist field, or building reports would not be as effective or consistent as using data classification metadata fields.


NEW QUESTION # 68
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