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Salesforce Data-Architect Exam Syllabus Topics:

SectionObjectives
Large Data Volume and Performance- Scalability considerations
  • 1. Bulk data processing strategies
    • 2. Indexing and query optimization
      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. Golden record design
                • 2. Data synchronization approaches
                  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
                          Data Integration- Salesforce integration tools
                          • 1. MuleSoft and REST/SOAP APIs
                            • 2. Platform events and change data capture
                              - Integration patterns
                              • 1. API-based integration strategies
                                • 2. ETL vs real-time integration

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                                  Salesforce Certified Data Architect Sample Questions (Q132-Q137):

                                  NEW QUESTION # 132
                                  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 # 133
                                  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: A,D

                                  Explanation:
                                  Enforcing critical business processes by using Workflow, Validation Rules, and Apex code can help ensure data quality and consistency by applying rules and logic to the data entry and update3. Scheduling a weekly dashboard displaying records that are missing information to be sent to managers for review can help identify and fix data quality issues by providing visibility and accountability4.


                                  NEW QUESTION # 134
                                  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: A


                                  NEW QUESTION # 135
                                  Universal Container (US) is replacing a home-grown CRM solution with Salesforce, UC has decided to migrate operational (Open and active) records to Salesforce, while keeping historical records in legacy system, UC would like historical records to be available in Salesforce on an as needed basis.
                                  Which solution should a data architect recommend to meet business requirement?

                                  Answer: C

                                  Explanation:
                                  According to the Using Mashups article on Salesforce Developers, one of the techniques for deploying large data volumes is to use mashups to display historical records in Salesforce. The article states that "Mashups are a way to display data from an external system within a Salesforce page without copying or synchronizing the data. Mashups use a combination of Visualforce, Apex callouts, and JavaScript code that runs in the browser. Mashups are useful when you want to display large amounts of read-only data that is stored outside of Salesforce." Therefore, a data architect should recommend this solution to meet the business requirement of UC.


                                  NEW QUESTION # 136
                                  UC is using SF CRM. UC sales managers are complaining about data quality and would like to monitor and measure data quality.
                                  Which 2 solutions should a data architect recommend to monitor and measure data quality?
                                  Choose 2 answers.

                                  Answer: A,C

                                  Explanation:
                                  Reviewing data quality reports and dashboards and installing and running data quality analysis dashboard app are two solutions that can help monitor and measure data quality. Data quality reports and dashboards can provide insights into the completeness, accuracy, and consistency of the data. Data quality analysis dashboard app is a free app from AppExchange that can help analyze and improve data quality by identifying duplicate, incomplete, or inaccurate records.


                                  NEW QUESTION # 137
                                  ......

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