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Salesforce Data-Architect Exam Syllabus Topics:

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

                                  >> Data-Architect Latest Questions <<

                                  Salesforce Data-Architect Vce Format - Valid Data-Architect Exam Question

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                                  Salesforce Certified Data Architect Sample Questions (Q247-Q252):

                                  NEW QUESTION # 247
                                  Universal Containers has defined a new Data Quality Plan for their Salesforce data and wants to know how they can enforce it throughout the organization. Which two approaches should an architect recommend to enforce this new plan?
                                  Choose 2 answers

                                  Answer: B,C

                                  Explanation:
                                  Scheduling a weekly dashboard displaying records that are missing information to be sent to managers for review and using Workflow, Validation Rules, and Force.com code (Apex) to enforce critical business processes are two approaches that an architect should recommend to enforce the new Data Quality Plan for UC's Salesforce data. Scheduling a weekly dashboard can provide a regular and visual way of monitoring the data quality and identifying any gaps or issues that need to be addressed by the managers or users. Using Workflow, Validation Rules, and Apex can provide various ways of enforcing data quality standards and business logic by automating actions, displaying error messages, or executing custom code when users create or edit records. The other options are not suitable or helpful for enforcing the Data Quality Plan, as they would either not provide real-time feedback, not prevent data quality issues, or not leverage the capabilities of Salesforce


                                  NEW QUESTION # 248
                                  What is an advantage of using Custom metadata type over Custom setting?

                                  Answer: A


                                  NEW QUESTION # 249
                                  DreamHouse Realty has a legacy system that captures Branch Offices and Transactions. DreamHouse Realty has 15 Branch Offices. Transactions can relate to any Branch Office. DreamHouse Realty has created hundreds of thousands of Transactions per year.
                                  A Data Architect needs to denormalize this data model into a single Transaction object with a Branch Office picklist.
                                  What are two important considerations for the Data Architect in this scenario? (Choose two.)

                                  Answer: B,C


                                  NEW QUESTION # 250
                                  UC is rolling out Sales App globally to bring sales teams together on one platform. UC expects millions of opportunities and accounts to be creates and is concerned about the performance of the application.
                                  Which 3 recommendations should the data architect make to avoid the data skew? Choose 3 answers.

                                  Answer: B,C


                                  NEW QUESTION # 251
                                  Universal Containers (UC) owns several Salesforce orgs across a variety of business units. UC management has declared that it needs the ability to report on Accounts and Opportunities from each org in one place. Once the data is brought together into a global view, management would like to use advanced Al-driven analytics on the dataset.
                                  Which tool should a data architect recommend to accomplish this reporting requirement?

                                  Answer: A


                                  NEW QUESTION # 252
                                  ......

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