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Salesforce Data-Architect Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Governance and Management- Data quality management
  • 1. Data validation rules
    • 2. Deduplication strategies
      - Security and compliance
      • 1. Data access controls
        • 2. Regulatory compliance considerations
          Topic 2: Master Data Management (MDM)- MDM architecture
          • 1. Data synchronization approaches
            • 2. Golden record design
              Topic 3: Data Integration- Integration patterns
              • 1. API-based integration strategies
                • 2. ETL vs real-time integration
                  - Salesforce integration tools
                  • 1. MuleSoft and REST/SOAP APIs
                    • 2. Platform events and change data capture
                      Topic 4: Large Data Volume and Performance- Scalability considerations
                      • 1. Bulk data processing strategies
                        • 2. Indexing and query optimization
                          Topic 5: 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

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                                  Salesforce Certified Data Architect Sample Questions (Q250-Q255):

                                  NEW QUESTION # 250
                                  NTO need to extract 50 million records from a custom object everyday from its Salesforce org. NTO is facing query timeout issues while extracting these records.
                                  What should a data architect recommend in order to get around the time out issue?

                                  Answer: B


                                  NEW QUESTION # 251
                                  Universal Container (UC) has accumulated data over years and has never deleted data from its Salesforce org.
                                  UC is now exceeding the storage allocations in the org. UC is now looking for option to delete unused from the org.
                                  Which three recommendations should a data architect make is order to reduce the number of records from the org?
                                  Choose 3 answers

                                  Answer: A,B,E

                                  Explanation:
                                  Using hard delete in Bulk API, identifying records that have not been modified or used in last 3 years, and archiving the records in EDW before deleting from Salesforce are all good recommendations to reduce the number of records from the org1. Using hard delete in batch Apex or Rest API may not be as efficient or scalable as Bulk API


                                  NEW QUESTION # 252
                                  Universal Containers (UC) is implementing Salesforce Sales Cloud and Service Cloud. As part of their implementation, they are planning to create a new custom object (Shipments), which will have a lookup relationship to Opportunities. When creating shipment records, Salesforce users need to manually input a customer reference, which is provided by customers, and will be stored in the Customer_Reference__c text custom field. Support agents will likely use this customer reference to search for Shipment records when resolving shipping issues. UC is expecting to have around 5 million shipment records created per year. What is the recommended solution to ensure that support agents using global search and reports can quickly find shipment records?

                                  Answer: A

                                  Explanation:
                                  Setting Customer-Reference_c as an External ID (unique) is the recommended solution to ensure that support agents using global search and reports can quickly find shipment records. This is because external ID fields are indexed and can be used as filters in reports and list views4. Making the field unique also ensures that there are no duplicate values that could confuse the search results.


                                  NEW QUESTION # 253
                                  Universal Containers has been a customer of Salesforce for 10 years. Currently they have 2 million accounts in the system. Due to an erroneous integration built 3 years ago, it is estimated there are 500,000 duplicates in the system.
                                  Which solution should a data architect recommend to remediate the duplication issue?

                                  Answer: C

                                  Explanation:
                                  Implementing duplicate rules (option D) is the best solution to remediate the duplication issue, as it allows the data architect to identify and merge duplicate accounts in Salesforce using native features and tools. Developing an ETL process that utilizes the merge API to merge the duplicate records (option A) is not a good solution, as it may require more coding and testing effort, and it does not prevent duplicates from being created in Salesforce. Utilizing a data warehouse as the system of truth (option B) is also not a good solution, as it may introduce additional complexity and cost, and it does not address the duplication issue in Salesforce. Extracting the data using data loader and using excel to merge the duplicate records (option C) is also not a good solution, as it may be time-consuming and error-prone, and it does not prevent duplicates from being created in Salesforce.


                                  NEW QUESTION # 254
                                  Universal Containers (UC) is in the process of migrating legacy inventory data from an enterprise resources planning (ERP) system into Sales Cloud with the following requirements:
                                  Legacy inventory data will be stored in a custom child object called Inventory_c.
                                  Inventory data should be related to the standard Account object.
                                  The Inventory object should Invent the same sharing rules as the Account object.
                                  Anytime an Account record is deleted in Salesforce, the related Inventory_c record(s) should be deleted as well.
                                  What type of relationship field should a data architect recommend in this scenario?

                                  Answer: D

                                  Explanation:
                                  According to the Salesforce documentation, a relationship field is a field that allows linking one object to another object in Salesforce. There are different types of relationship fields that have different characteristics and behaviors, such as master-detail, lookup, indirect lookup, external lookup, etc.
                                  To recommend a type of relationship field for this scenario, where legacy inventory data will be stored in a custom child object called Inventory__c, inventory data should be related to the standard Account object, the Inventory__c object should inherit the same sharing rules as the Account object, and anytime an Account record is deleted in Salesforce, the related Inventory__c record(s) should be deleted as well, a data architect should recommend:
                                  Master-detail relationship field on Inventory__c, related to Account (option B). This means creating a field on the Inventory__c object that references the Account object as its parent. A master-detail relationship field establishes a parent-child relationship between two objects, where the parent object controls certain behaviors of the child object. For example, a master-detail relationship field can:
                                  Inherit the sharing and security settings from the parent object to the child object. This means that the users who can access and edit the parent record can also access and edit the related child records.
                                  Cascade delete from the parent object to the child object. This means that when a parent record is deleted, all the related child records are also deleted.
                                  Roll up summary fields from the child object to the parent object. This means that the parent object can display aggregated information from the child records, such as count, sum, min, max, or average.
                                  Master-detail relationship field on Account, related to Inventory__c (option A) is not a good solution, as it reverses the direction of the relationship. This means creating a field on the Account object that references the Inventory__c object as its parent. This is not possible, as a standard object cannot be on the detail side of a master-detail relationship. Indirect lookup relationship field on Account, related to Inventory__c (option C) is also not a good solution, as it is a special type of relationship field that allows linking a custom object to a standard object on an external system using an indirect reference. This is not applicable for this scenario, as both objects are in Salesforce and do not need an external reference. Lookup relationship field on Inventory__c related to Account (option D) is also not a good solution, as it establishes a looser relationship between two objects than a master-detail relationship. A lookup relationship field does not inherit sharing and security settings from the parent object to the child object, does not cascade delete from the parent object to the child object, and does not roll up summary fields from the child object to the parent object.


                                  NEW QUESTION # 255
                                  ......

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