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Salesforce Data-Architect Exam Syllabus Topics:

SectionObjectives
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
          Master Data Management (MDM)- MDM architecture
          • 1. Golden record design
            • 2. Data synchronization approaches
              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
                      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. Data access controls
                            • 2. Regulatory compliance considerations
                              - Data quality management
                              • 1. Deduplication strategies
                                • 2. Data validation rules

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                                  Salesforce Certified Data Architect Sample Questions (Q94-Q99):

                                  NEW QUESTION # 94
                                  Universal Containers (UC) has lead assignment rules to assign leads to owners. Leads not routed by assignment rules are assigned to a dummy user. Sales rep are complaining of high load times and issues with accessing leads assigned to the dummy user.
                                  What should a data architect recommend to solve these performance issues?

                                  Answer: A

                                  Explanation:
                                  According to the official Salesforce guide1, assigning leads to a single dummy user can cause performance issues and data skew, especially if the dummy user owns more than 10,000 records. Data skew occurs when a single user or a small number of users own a disproportionately large number of records, which can affect query performance and sharing calculations. Option B is the correct answer because it suggests creating multiple dummy users and assigning leads to them, which can distribute the load and reduce data skew. Option A is incorrect because assigning the dummy user to the last role in the role hierarchy does not affect the performance or data skew issues. Option C is incorrect because assigning the dummy user to the highest role in the role hierarchy can worsen the performance and data skew issues, as it will grant access to more users and records. Option D is incorrect because periodically deleting leads can cause data loss and does not address the root cause of the problem.


                                  NEW QUESTION # 95
                                  Universal Containers (UC) has adopted Salesforce as its primary sales automated tool. UC has 100,00 customers with a growth rate of 10% a year, UC uses an on-premise web-based billing and invoice system that generates over 1 million invoices a year supporting a monthly billing cycle.
                                  The UC sales team needs to be able to pull a customer record and view their account status, Invoice history, and opportunities without navigating outside of Salesforce.
                                  What should a data architect use to provide the sales team with the required functionality?

                                  Answer: A


                                  NEW QUESTION # 96
                                  Universal Containers (UC) has a complex system landscape and is implementing a data governance program for the first time Which two first steps would be appropriate for UC to initiate an assessment of data architecture? Choose 2 answers

                                  Answer: A,C

                                  Explanation:
                                  Engaging with executive sponsorship to assess enterprise data strategy and goals, and engaging with business units and IT to assess current operational systems and data models are two first steps that would be appropriate for UC to initiate an assessment of data architecture. These steps will help to understand the current state of data management, the business needs and expectations, and the gaps and opportunities for improvement.
                                  Engaging with IT program managers to assess current velocity of projects in the pipeline, and engaging with database administrators to assess current database performance metrics are not relevant steps for assessing data architecture, as they are more related to project management and technical performance.


                                  NEW QUESTION # 97
                                  A customer wishes to migrate 700,000 Account records in a single migration into Salesforce. What is the recommended solution to migrate these records while minimizing migration time?

                                  Answer: A


                                  NEW QUESTION # 98
                                  Universal Containers is establishing a call center that will use Salesforce. UC receives 10 million calls and creates 100 million cases every month. Cases are linked to a custom call object using lookup relationship. UC would like to run reports and dashboard to better understand different case types being created on calls to better serve customers.
                                  What solution should a data architect recommend to meet the business requirement?

                                  Answer: B

                                  Explanation:
                                  According to this article, big objects can store and manage massive amounts of data on the Salesforce platform. This can help UC to archive records from other objects or bring massive datasets from outside systems into a big object. According to this article, Einstein Analytics can be used to create dashboards and lenses to analyze big object data and get insights from advanced AI-driven analytics.


                                  NEW QUESTION # 99
                                  ......

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