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Salesforce Data-Architect Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Governance and Management- Data quality management
  • 1. Data validation rules
    • 2. Deduplication strategies
      - Security and compliance
      • 1. Data access controls
        • 2. Regulatory compliance considerations
          Topic 2: Master Data Management (MDM)- MDM architecture
          • 1. Data synchronization approaches
            • 2. Golden record design
              Topic 3: Large Data Volume and Performance- Scalability considerations
              • 1. Bulk data processing strategies
                • 2. Indexing and query optimization
                  Topic 4: Data Integration- Salesforce integration tools
                  • 1. MuleSoft and REST/SOAP APIs
                    • 2. Platform events and change data capture
                      - Integration patterns
                      • 1. ETL vs real-time integration
                        • 2. API-based integration strategies
                          Topic 5: 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

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                                  Salesforce Certified Data Architect Sample Questions (Q149-Q154):

                                  NEW QUESTION # 149
                                  Which two aspects of data does an Enterprise data governance program aim to improve?

                                  Answer: B,D

                                  Explanation:
                                  Data integrity and data usability are two aspects of data that an Enterprise data governance program aims to improve. Data integrity refers to the accuracy, consistency, and validity of the data across the enterprise2. Data usability refers to the ease of access, analysis, and interpretation of the data by the end users


                                  NEW QUESTION # 150
                                  Northern Trail Outfitters (NTO) has multiple Salesforce orgs based on regions. Users need read-only access to customers across all Salesforce orgs.
                                  Which feature in Salesforce can be used to provide access to customer records across all NTO orgs?

                                  Answer: A


                                  NEW QUESTION # 151
                                  UC has the following system:
                                  Billing system.
                                  Customer support system.
                                  CRM system.
                                  US has been having trouble with business intelligence across the different systems. Recently US implemented a master data management (MDM) solution that will be the system of truth for the customer records.
                                  Which MDM data element is needed to allow reporting across these systems?

                                  Answer: A

                                  Explanation:
                                  The correct answer is A, global unique customer number. A global unique customer number is a data element that can uniquely identify each customer across different systems. It can be used as a key to link customer records from different sources and enable reporting across these systems. Email address, phone number, and full name are not reliable or consistent identifiers for customers, as they can change over time or be shared by multiple customers.


                                  NEW QUESTION # 152
                                  North Trail Outfitters (NTO) operates a majority of its business from a central Salesforce org, NTO also owns several secondary orgs that the service, finance, and marketing teams work out of, At the moment, there is no integration between central and secondary orgs, leading to data-visibility issues.
                                  Moving forward, NTO has identified that a hub-and-spoke model is the proper architect to manage its data, where the central org is the hub and the secondary orgs are the spokes.
                                  Which tool should a data architect use to orchestrate data between the hub org and spoke orgs?

                                  Answer: B

                                  Explanation:
                                  According to the Salesforce documentation, a hub-and-spoke model is an integration architecture pattern that allows connecting multiple Salesforce orgs using a central org (hub) and one or more secondary orgs (spokes). The hub org acts as the master data source and orchestrates the data flow between the spoke orgs.
                                  The spoke orgs act as the consumers or producers of the data and communicate with the hub org.
                                  To orchestrate data between the hub org and spoke orgs, a data architect should use:
                                  * A middleware solution that extracts and distributes data across both the hub and spokes (option A). This means using an external service or tool that can connect to multiple Salesforce orgs using APIs or connectors, and perform data extraction, transformation, and distribution operations between the hub and spoke orgs. This can provide a scalable, flexible, and reliable way to orchestrate data across multiple orgs.
                                  Developing custom APIs to poll the hub org for change data and push into the spoke orgs (option B) is not a good solution, as it can be complex, costly, and difficult to maintain. It may also not be able to handle large volumes of data or complex transformations efficiently. Developing custom APIs to poll the spoke orgs for change data and push into the hub org (option C) is also not a good solution, as it can have the same drawbacks as option B. It may also not be able to handle conflicts or errors effectively. Using a backup and archive solution that extracts and restores data across orgs (option D) is also not a good solution, as it can incur additional costs and dependencies. It may also not be able to handle real-time or near-real-time data orchestration requirements.


                                  NEW QUESTION # 153
                                  Universal Containers is creating a new B2C service offering for consumers to ship goods across continents.
                                  This is in addition to their well-established B2B offering. Their current Salesforce org uses the standard Account object to track B2B customers. They are expecting to have over 50,000,000 consumers over the next five years across their 50 business regions. B2C customers will be individuals. Household data is not required to be stored. What is the recommended data model for consumer account data to be stored in Salesforce?

                                  Answer: C

                                  Explanation:
                                  The recommended data model for consumer account data to be stored in Salesforce is to use the Account object with Person Accounts and a new B2C page layout. Person Accounts are a special type of accounts that allow you to store information about individual consumers who are not associated with a business account2. Person Accounts have the following advantages3:
                                  They allow you to use the same standard objects and features that you use for business accounts, such as contacts, opportunities, cases, etc.
                                  They enable you to create different page layouts and record types for B2C and B2B customers, which allows you to customize the user interface and business logic for each segment.
                                  They support large data volumes and can scale up to 50 million records or more, which meets the expected growth of consumers over the next five years.


                                  NEW QUESTION # 154
                                  ......

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