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Salesforce Data-Architect Exam Syllabus Topics:

SectionObjectives
Data Governance and Management- Security and compliance
  • 1. Regulatory compliance considerations
    • 2. Data access controls
      - Data quality management
      • 1. Deduplication strategies
        • 2. Data validation rules
          Data Integration- Integration patterns
          • 1. API-based integration strategies
            • 2. ETL vs real-time integration
              - Salesforce integration tools
              • 1. Platform events and change data capture
                • 2. MuleSoft and REST/SOAP APIs
                  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

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                                  Data-Architect Exam Flashcards & Test Data-Architect Result

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

                                  NEW QUESTION # 132
                                  Universal Containers (UC) is using Salesforce Sales & Service Cloud for B2C sales and customer service but they are experiencing a lot of duplicate customers in the system. Which are two recommended approaches for UC to avoid duplicate data and increase the level of data quality?

                                  Answer: A,D

                                  Explanation:
                                  Using Duplicate Management and Data.com Clean are two recommended approaches for UC to avoid duplicate data and increase the level of data quality. Duplicate Management can prevent or alert users when they try to create or edit records that are duplicates of existing records. Data.com Clean can compare Salesforce records with Data.com records and provide suggestions for updates or removals of duplicate records.


                                  NEW QUESTION # 133
                                  UC has millions of case records with case history and SLA data. UC's compliance team would like historical cases to be accessible for 10 years for Audit purpose.
                                  What solution should a data architect recommend?

                                  Answer: C

                                  Explanation:
                                  The best solution to store historical cases for 10 years for audit purpose is to use a custom Big object to store archived case data. Big objects are a type of custom object that can store massive amounts of data on the Salesforce platform without affecting performance or storage limits. They also support point-and-click tools, triggers, and Apex code. Big objects can be used for archiving historical data that needs to be retained for compliance or analytics purposes3. Archiving case data using Salesforce Archiving process is not a good option because it only supports archiving cases that are closed for more than one year, and it does not allow customizing the archival criteria or accessing the archived data via Apex or APIs4. Purchasing more data storage to support case object is expensive and may impact performance. Using a custom object to store archived case data is not scalable and may consume a lot of storage space.


                                  NEW QUESTION # 134
                                  DreamHouse Realty has a Salesforce deployment that manages Sales, Support, and Marketing efforts in a multi-system ERP environment. The company recently reached the limits of native reports and dashboards and needs options for providing more analytical insights.
                                  What are two approaches an Architect should recommend? (Choose two.)

                                  Answer: B,D


                                  NEW QUESTION # 135
                                  A large telecommunication provider that provides internet services to both residence and business has the following attributes:
                                  A customer who purchases its services for their home will be created as an Account in Salesforce.
                                  Individuals within the same house address will be created as Contact in Salesforce.
                                  Businesses are created as Accounts in Salesforce.
                                  Some of the customers have both services at their home and business.
                                  What should a data architect recommend for a single view of these customers without creating multiple customer records?

                                  Answer: A


                                  NEW QUESTION # 136
                                  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: A,D

                                  Explanation:
                                  The Data Architect should consider the limitations on Org data storage and the Bulk API limitations on picklist fields when denormalizing the data model into a single Transaction object with a Branch Office picklist. The Org data storage limit is the total amount of data that can be stored in a Salesforce Org, and it depends on the edition and license type of the Org1. The Bulk API limit on picklist fields is the maximum number of values that can be imported or exported using the Bulk API, and it is 1,000 values per picklist field2. These limitations could affect the performance and scalability of the data model, and the Data Architect should plan accordingly.


                                  NEW QUESTION # 137
                                  ......

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