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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: Data Integration- Salesforce integration tools
          • 1. Platform events and change data capture
            • 2. MuleSoft and REST/SOAP APIs
              - Integration patterns
              • 1. ETL vs real-time integration
                • 2. API-based integration strategies
                  Topic 3: Large Data Volume and Performance- Scalability considerations
                  • 1. Indexing and query optimization
                    • 2. Bulk data processing strategies
                      Topic 4: Data Modeling and Database Design- Salesforce data model design
                      • 1. Schema design for scalability
                        • 2. Standard and custom objects usage
                          - Data modeling concepts
                          • 1. Normalization and denormalization strategies
                            • 2. Relational vs. non-relational data design
                              Topic 5: Master Data Management (MDM)- MDM architecture
                              • 1. Data synchronization approaches
                                • 2. Golden record design

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                                  Salesforce Certified Data Architect Sample Questions (Q176-Q181):

                                  NEW QUESTION # 176
                                  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: A,D,E


                                  NEW QUESTION # 177
                                  Which two statements are accurate with respect to performance testing a Force.com application?

                                  Answer: A,B


                                  NEW QUESTION # 178
                                  Universal Containers (UC) uses Salesforce for tracking opportunities (Opportunity). UC uses an internal ERP system for tracking deliveries and invoicing. The ERP system supports SOAP API and OData for bi-directional integration between Salesforce and the ERP system. UC has about one million opportunities. For each opportunity, UC sends 12 invoices, one per month. UC sales reps have requirements to view current invoice status and invoice amount from the opportunity page. When creating an object to model invoices, what should the architect recommend, considering performance and data storage space?

                                  Answer: B

                                  Explanation:
                                  Creating an external object Invoice_x with a Lookup relationship with Opportunity is the best option for modeling invoices, considering performance and data storage space. An external object allows the data to be stored in the ERP system and accessed via OData in Salesforce. This reduces the data storage consumption in Salesforce and improves the performance of queries and reports. A Lookup relationship allows the sales reps to view the invoice status and amount from the opportunity page. The other options would either consume more data storage space, require additional customization, or not provide real-time data access


                                  NEW QUESTION # 179
                                  Universal Containers (UC) has an open sharing model for its Salesforce users to allow all its Salesforce internal users to edit all contacts, regardless of who owns the contact. However, UC management wants to allow only the owner of a contact record to delete that contact. If a user does not own the contact, then the user should not be allowed to delete the record. How should the architect approach the project so that the requirements are met?

                                  Answer: D


                                  NEW QUESTION # 180
                                  NTO (Northern Trail Outlets) has a complex Salesforce org which has been developed over past 5 years. Internal users are complaining abt multiple data issues, including incomplete and duplicate data in the org. NTO has decided to engage a data architect to analyze and define data quality standards.
                                  Which 3 key factors should a data architect consider while defining data quality standards? Choose 3 answers:

                                  Answer: B,C,E

                                  Explanation:
                                  Defining data duplication standards and rules, measuring data timeliness and consistency, and measuring data completeness and accuracy are three key factors that a data architect should consider while defining data quality standards. Defining data duplication standards and rules can help prevent or reduce duplicate records in the org by specifying criteria and actions for identifying and merging duplicates. Measuring data timeliness and consistency can help ensure that the data is up-to-date, reliable, and synchronized across different sources. Measuring data completeness and accuracy can help ensure that the data is sufficient, relevant, and correct for the intended purposes.


                                  NEW QUESTION # 181
                                  ......

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