Salesforce Data-Architect関連問題資料 & Data-Architect資格関連題

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Salesforce Data-Architect Exam Syllabus Topics:

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

>> Salesforce Data-Architect関連問題資料 <<

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Salesforce Certified Data Architect 認定 Data-Architect 試験問題 (Q89-Q94):

質問 # 89
Universal Containers (UC) has a data model as shown in the image. The Project object has a private sharing model, and it has Roll -Up summary fields to calculate the number of resources assigned to the project, total hours for the project, and the number of work items associated to the project. What should the architect consider, knowing there will be a large amount of time entry records to be loaded regularly from an external system into Salesforce.com?

正解：A


質問 # 90
Universal Containers (UC) is implementing a formal, cross -business -unit data governance program As part of the program, UC will implement a team to make decisions on enterprise -wide data governance. Which two roles are appropriate as members of this team? Choose 2 answers

正解：A、D


質問 # 91
Universal Containers (UC) has 1,000 accounts and 50,000 opportunities. UC has an enterprise security requirement to export all sales data outside of Salesforce on a weekly basis. The security requirement also calls for exporting key operational data that includes events such as file downloads, logins, logouts, etc.
Which two recommended approaches would address the above requirement?

正解：B、D

解説：
Using Weekly Export to extract transactional data to on-premise systems and using Event Monitoring to extract event data to on-premise systems are two recommended approaches that would address the security requirement of UC. Weekly Export is a built-in feature that allows UC to download a zip file of their Salesforce data on a weekly basis. Event Monitoring is a tool that allows UC to access detailed information about various events that occur in their Salesforce org, such as logins, logouts, file downloads, etc.


質問 # 92
UC is planning a massive SF implementation with large volumes of data. As part of the org's implementation, several roles, territories, groups, and sharing rules have been configured. The data architect has been tasked with loading all of the required data, including user data, in a timely manner.
What should a data architect do to minimize data load times due to system calculations?

正解：B

解説：
The correct answer is A, enable defer sharing calculations, and suspend sharing rule calculations. Defer sharing calculations and suspend sharing rule calculations are features that allow you to temporarily disable the automatic recalculation of sharing rules when you load large volumes of data. This can improve the performance and speed of your data load process by avoiding unnecessary system calculations. Loading the data through data loader, leveraging the bulk API, or enabling granular locking are also options that can help with data load times, but they do not directly address the system calculations issue.


質問 # 93
Universal Containers (UC) is a major supplier of office supplies. Some products are produced by UC and some by other manufacturers. Recently, a number of customers have complained that product descriptions on the invoices do not match the descriptions in the online catalog and on some of the order confirmations (e.g.,
"ballpoint pen" in the catalog and "pen" on the invoice, and item color labels are inconsistent: "what vs.
"White" or "blk" vs. "Black"). All product data is consolidated in the company data warehouse and pushed to Salesforce to generate quotes and invoices. The online catalog and webshop is a Salesforce Customer Community solution. What is a correct technique UC should use to solve the data inconsistency?

正解：D

解説：
A correct technique UC should use to solve the data inconsistency is to define a data taxonomy for product data and apply the taxonomy to the product data in the data warehouse. A data taxonomy is a hierarchical classification of data entities and attributes that defines their meaning, format, and relationships. A data taxonomy can help ensure consistency, accuracy, and completeness of product data across different systems and channels


質問 # 94
......

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