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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 Modeling and Database Design- Data modeling concepts
          • 1. Relational vs. non-relational data design
            • 2. Normalization and denormalization strategies
              - Salesforce data model design
              • 1. Standard and custom objects usage
                • 2. Schema design for scalability
                  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
                          Large Data Volume and Performance- Scalability considerations
                          • 1. Bulk data processing strategies
                            • 2. Indexing and query optimization
                              Master Data Management (MDM)- MDM architecture
                              • 1. Golden record design
                                • 2. Data synchronization approaches

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                                  Data-Architect - Salesforce Certified Data Architect Authoritative Test Centres

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                                  Salesforce Certified Data Architect Sample Questions (Q164-Q169):

                                  NEW QUESTION # 164
                                  Universal Containers wants to implement a data -quality process to monitor the data that users are manually entering into the system through the Salesforce UI. Which approach should the architect recommend?

                                  Answer: B


                                  NEW QUESTION # 165
                                  Universal Containers (CU) is in the process of implementing an enterprise data warehouse (EDW). UC needs to extract 100 million records from Salesforce for migration to the EDW.
                                  What data extraction strategy should a data architect use for maximum performance?

                                  Answer: A

                                  Explanation:
                                  According to the Salesforce documentation2, extracting large amounts of data from Salesforce can be challenging and time-consuming, as it can encounter performance issues, API limits, timeouts, etc. To extract 100 million records from Salesforce for migration to an enterprise data warehouse (EDW), a data extraction strategy that can provide maximum performance is:
                                  Utilize PK Chunking with the Bulk API (option C). This means using a feature that allows splitting a large query into smaller batches based on the record IDs (primary keys) of the queried object. This can improve performance and avoid timeouts by processing each batch asynchronously and in parallel using the Bulk API3.
                                  Installing a third-party AppExchange tool (option A) is not a good solution, as it can incur additional costs and dependencies. It may also not be able to handle such a large volume of data efficiently. Calling the REST API in successive queries (option B) is also not a good solution, as it can encounter API limits and performance issues when querying such a large volume of data. Using the Bulk API in parallel mode (option D) is also not a good solution, as it can still cause timeouts and errors when querying such a large volume of data without chunking.


                                  NEW QUESTION # 166
                                  A customer wants to maintain geographic location information including latitude and longitude in a custom object. What would a data architect recommend to satisfy this requirement?

                                  Answer: A


                                  NEW QUESTION # 167
                                  Cloud Kicks has the following requirements:
                                  * Their Shipment custom object must always relate to a Product, a Sender, and a Receiver (all separate custom objects).
                                  * If a Shipment is currently associated with a Product, Sender, or Receiver, deletion of those records should not be allowed.
                                  * Each custom object must have separate sharing models.
                                  What should an Architect do to fulfill these requirements?

                                  Answer: A


                                  NEW QUESTION # 168
                                  Universal Containers (UC) owns a complex Salesforce org with many Apex classes, triggers, and automated processes that will modify records if available. UC has identified that, in its current development state, UC runs change of encountering race condition on the same record.
                                  What should a data architect recommend to guarantee that records are not being updated at the same time?

                                  Answer: C

                                  Explanation:
                                  According to the How to avoid row lock or race condition in Apex blog post, one of the ways to prevent race condition in Apex is to use the FOR UPDATE keyword in SOQL statements. The blog post states that "We need to lock the records on which we are working such that other batches or threads will not be having any effect on them. How can we lock a record, then? We need to make use of FOR UPDATE keyword in the SOQL query." Therefore, a data architect should recommend this solution to guarantee that records are not being updated at the same time by different processes.


                                  NEW QUESTION # 169
                                  ......

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