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Salesforce Data-Architect Exam Syllabus Topics:

SectionObjectives
Data Modeling and Database Design- Salesforce data model design
  • 1. Standard and custom objects usage
    • 2. Schema design for scalability
      - Data modeling concepts
      • 1. Relational vs. non-relational data design
        • 2. Normalization and denormalization strategies
          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 Governance and Management- Data quality management
                  • 1. Deduplication strategies
                    • 2. Data validation rules
                      - Security and compliance
                      • 1. Regulatory compliance considerations
                        • 2. Data access controls
                          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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                                  Salesforce Certified Data Architect Sample Questions (Q111-Q116):

                                  NEW QUESTION # 111
                                  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 # 112
                                  Universal Containers (UC) wants to capture information on how data entities are stored within the different applications and systems used within the company. For that purpose, the architecture team decided to create a data dictionary covering the main business domains within UC. Which two common techniques are used building a data dictionary to store information on how business entities are defined?

                                  Answer: A,C

                                  Explanation:
                                  A data dictionary is a document that describes the structure, format, and meaning of data entities and attributes. A common technique to build a data dictionary is to use an entity relationship diagram (ERD), which shows the logical relationships between objects and fields in a graphical way. Another technique is to use the Salesforce Metadata API, which allows you to retrieve and deploy the metadata that defines your Salesforce org


                                  NEW QUESTION # 113
                                  Salesforce is being deployed in Ursa Major Solar's disparate, multi-system ERP environment. Ursa major Solar wants to maintain data synchronization between systems.
                                  Which two techniques should be used to achieve this goal? (Choose two.)

                                  Answer: A,B


                                  NEW QUESTION # 114
                                  UC recently migrated 1 Billion customer related records from a legacy data store to Heroku Postgres. A subset of the data need to be synchronized with salesforce so that service agents are able to support customers directly within the service console. The remaining non- synchronized set of data will need to be accessed by salesforce at any point in time, but UC management is concerned about storage limitations.
                                  What should a data architect recommend to meet these requirements with minimal effort?

                                  Answer: B


                                  NEW QUESTION # 115
                                  A large insurance provider is looking to implement Salesforce. The following exist.
                                  1. Multiple channel for lead acquisition
                                  2. Duplication leads across channels
                                  3. Poor customer experience and higher costs
                                  On analysis, it found that there are duplicate leads that are resulting to mitigate the issues?

                                  Answer: A,C,D


                                  NEW QUESTION # 116
                                  ......

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