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Salesforce Data-Architect Exam Syllabus Topics:

SectionObjectives
Large Data Volume and Performance- Scalability considerations
  • 1. Bulk data processing strategies
    • 2. Indexing and query optimization
      Data Governance and Management- Security and compliance
      • 1. Regulatory compliance considerations
        • 2. Data access controls
          - Data quality management
          • 1. Deduplication strategies
            • 2. Data validation rules
              Data Modeling and Database Design- Data modeling concepts
              • 1. Relational vs. non-relational data design
                • 2. Normalization and denormalization strategies
                  - Salesforce data model design
                  • 1. Schema design for scalability
                    • 2. Standard and custom objects usage
                      Data Integration- Integration patterns
                      • 1. ETL vs real-time integration
                        • 2. API-based integration strategies
                          - Salesforce integration tools
                          • 1. Platform events and change data capture
                            • 2. MuleSoft and REST/SOAP APIs
                              Master Data Management (MDM)- MDM architecture
                              • 1. Data synchronization approaches
                                • 2. Golden record design

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                                  Salesforce Certified Data Architect Sample Questions (Q127-Q132):

                                  NEW QUESTION # 127
                                  Universal Container is Implementing salesforce and needs to migrate data from two legacy systems. UC would like to clean and duplicate data before migrate to Salesforce.
                                  Which solution should a data architect recommend a clean migration?

                                  Answer: A


                                  NEW QUESTION # 128
                                  DreamHouse Realty has a Salesforce org that is used to manage Contacts.
                                  What are two things an Architect should consider using to maintain data quality in this situation? (Choose two.)

                                  Answer: A,D

                                  Explanation:
                                  Using Salesforce duplicate management and using validation rules on new record create and edit are two things that an architect should consider using to maintain data quality for managing Contacts. Salesforce duplicate management allows the architect to create matching rules and duplicate rules to identify, prevent, or allow duplicate records based on various criteria. Validation rules allow the architect to enforce data quality standards and business logic by displaying error messages when users try to save invalid data. The other options are not relevant or helpful for maintaining data quality


                                  NEW QUESTION # 129
                                  Northern Trail Outfitters < NTO > is streaming IoT data from connected devices to a cloud database. Every
                                  24 hours. 100,000 records are generated.
                                  NIO employees will need to see these lol records within Salesforce and generate weekly reports on it.
                                  Developers may also need to write programmatic logic to aggregate the records and incorporate them into workflows.
                                  Which data pattern will allow a data architect to satisfy these requirements, while also keeping limits in mind?

                                  Answer: C

                                  Explanation:
                                  Persistence is the data pattern that will allow a data architect to satisfy the requirements, while also keeping limits in mind. Persistence means storing data from external sources in Salesforce objects, either standard or custom. This allows you to access the data within Salesforce and use it for reporting, analytics, workflows, and other features. Persistence also helps you avoid hitting API limits or performance issues when accessing large volumes of data from external systems. You can use various tools such as Data Loader, Bulk API, or Platform Events to persist IoT data from connected devices to a cloud database in Salesforce.


                                  NEW QUESTION # 130
                                  Northern Trail outfitters in migrating to salesforce from a legacy CRM system that identifies the agent relationships in a look-up table.
                                  What should the data architect do in order to migrate the data to Salesfoce?

                                  Answer: B


                                  NEW QUESTION # 131
                                  A consumer products company has decided to use Salesforce for its contact center. The contact center agents need access to the following information in Service Console when a customer contacts them:
                                  1. Customer browsing activity on its website stored on its on premise system
                                  2. Customer interactions with sales associates at its retail stores maintained in Salesforce
                                  3. Contact center interactions maintained in Salesforce
                                  4. Email campaign activity to customer from its marketing systems.
                                  What should a data architect do to fulfill these requirements with minimum development effort in Salesforce?

                                  Answer: A


                                  NEW QUESTION # 132
                                  ......

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