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Salesforce Data-Architect Exam Syllabus Topics:

SectionObjectives
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
          Large Data Volume and Performance- Scalability considerations
          • 1. Bulk data processing strategies
            • 2. Indexing and query optimization
              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- 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
                              Master Data Management (MDM)- MDM architecture
                              • 1. Golden record design
                                • 2. Data synchronization approaches

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                                  Salesforce Certified Data Architect Sample Questions (Q231-Q236):

                                  NEW QUESTION # 231
                                  Northern Trail Outfitters (NTO) wants to capture a list of customers that have bought a particular product. The solution architect has recommended to create a custom object for product, and to create a lookup relationship between its customers and its products.
                                  Products will be modeled as a custom object (NTO_ Product__ c) and customers are modeled as person accounts. Every NTO product may have millions of customers looking up a single product, resulting in a lookup skew.
                                  What should a data architect suggest to mitigate Issues related to lookup skew?

                                  Answer: C

                                  Explanation:
                                  creating multiple similar products and distributing the skew across those products can be a way to mitigate issues related to lookup skew. The article explains that lookup skew happens when a very large number of records are associated with a single record in the lookup object, and this can cause record locking and performance issues. The article suggests creating multiple copies of the same product record and assigning different child records to each copy, so that the number of child records per parent record is reduced.


                                  NEW QUESTION # 232
                                  Universal Containers is setting up an external Business Intelligence (BI) system and wants to extract 1,000,000 Contact records. What should be recommended to avoid timeouts during the export process?

                                  Answer: B


                                  NEW QUESTION # 233
                                  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: D

                                  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 # 234
                                  Universal Containers (UC) has a data model as shown in the image. The Project object has a private sharing model, and it has Roll -Up summary fields to calculate the number of resources assigned to the project, total hours for the project, and the number of work items associated to the project. What should the architect consider, knowing there will be a large amount of time entry records to be loaded regularly from an external system into Salesforce.com?

                                  Answer: C

                                  Explanation:
                                  Loading all data after deferring sharing calculations can improve the performance and avoid locking issues when loading a large amount of time entry records into Salesforce.com. This is because deferring sharing calculations can temporarily suspend the calculation of sharing rules until all the data is loaded, and then recalculate them in one operation


                                  NEW QUESTION # 235
                                  A customer is operating in a highly reputated industry and is planning to implement SF. The customer information maintained in SF, includes the following:
                                  Personally, identifiable information (PII)
                                  IP restrictions on profiles organized by Geographic location
                                  Financial records that need to be private and accessible only by the assigned Sales associate.
                                  User should not be allowed to export information from Salesforce.
                                  Enterprise security has mandate access to be restricted to users within a specific geography and detail monitoring of user activity. Which 3 Salesforce shield capabilities should a data architect recommend? Choose
                                  3 answers:

                                  Answer: A,B,C

                                  Explanation:
                                  The best Salesforce Shield capabilities for the customer are to restrict access to SF from users outside specific geography, implement transaction security policies to prevent export of SF data, and encrypt sensitive customer information maintained in SF. Salesforce Shield is a set of security features that help protect enterprise data on the Salesforce platform. It includes three components: Event Monitoring, Platform Encryption, and Field Audit Trail. Restricting access to SF from users outside specific geography can be done using network-based security features, such as IP whitelisting or VPN. Transaction security policies can be used to define actions or notifications based on user behavior patterns, such as exporting data or logging in from an unknown device. Platform Encryption can be used to encrypt data at rest using a tenant secret key that is controlled by the customer.


                                  NEW QUESTION # 236
                                  ......

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