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Salesforce Data-Architect Exam Syllabus Topics:

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

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                                  Salesforce Certified Data Architect Sample Questions (Q49-Q54):

                                  NEW QUESTION # 49
                                  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: D

                                  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 # 50
                                  Ursa Major Solar has defined a new Data Quality Plan for their Salesforce data.
                                  Which two approaches should an Architect recommend to enforce the plan throughout the organization? (Choose two.)

                                  Answer: B,C


                                  NEW QUESTION # 51
                                  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 # 52
                                  UC has large amount of orders coming in from its online portal. Historically all order are assigned to a generic user.
                                  Which 2 measures should data architect recommend to avoid any performance issues while working with large number of order records? Choose 2 answers:

                                  Answer: A,B

                                  Explanation:
                                  Clearing the role field in the generic user record and creating a role at the top of the role hierarchy and assigning it to the generic user are two measures that can help avoid performance issues while working with large number of order records. These measures can prevent data skew and lock contention that may occur when a single user owns or shares a large number of records


                                  NEW QUESTION # 53
                                  Get Cloudy Consulting uses an invoicing system that has specific requirements. One requirement is that attachments associated with the Invoice_c custom object be classified by Types (i.e., ""Purchase Order"",
                                  ""Receipt"", etc.) so that reporting can be performed on invoices showing the number of attachments grouped by Type.
                                  What should an Architect do to categorize the attachments to fulfill these requirements?

                                  Answer: C

                                  Explanation:
                                  Creating a custom object related to the Invoice object with a picklist field for the Type allows the architect to categorize the attachments and report on them by Type. The standard Attachment object does not have a ContentType picklist field, and adding a custom picklist field to it would not be best practice.


                                  NEW QUESTION # 54
                                  ......

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