Data-Architect유효한공부자료 - Data-Architect인증시험대비덤프공부

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Salesforce Data-Architect인증덤프는 실제 Data-Architect시험의 가장 최근 시험의 기출문제를 기준으로 하여 만들어진 최고품질을 자랑하는 최고적중율의 시험대비자료입니다. 저희 Data-Architect덤프로 Data-Architect시험에 도전해보지 않으실래요? Data-Architect시험에서 불합격 받을시 덤프비용은 환불해드리기에 부담없이 구매하셔도 됩니다.환불의 유일한 기준은 불합격 성적표이고 환불유효기간은 구매일로부터 60일까지입니다.

Salesforce Data-Architect Exam Syllabus Topics:

SectionObjectives
Large Data Volume and Performance- Scalability considerations
  • 1. Bulk data processing strategies
    • 2. Indexing and query optimization
      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 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
                          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

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                                  최신 Salesforce Application Architect Data-Architect 무료샘플문제 (Q10-Q15):

                                  질문 # 10
                                  Universal Containers is looking to use Salesforce to manage their sales organization. They will be migrating legacy account data from two aging systems into Salesforce. Which two design considerations should an architect take to minimize data duplication? Choose 2 answers

                                  정답：A,D


                                  질문 # 11
                                  UC is planning a massive SF implementation with large volumes of data. As part of the org's implementation, several roles, territories, groups, and sharing rules have been configured. The data architect has been tasked with loading all of the required data, including user data, in a timely manner.
                                  What should a data architect do to minimize data load times due to system calculations?

                                  정답：D

                                  설명：
                                  The correct answer is A, enable defer sharing calculations, and suspend sharing rule calculations. Defer sharing calculations and suspend sharing rule calculations are features that allow you to temporarily disable the automatic recalculation of sharing rules when you load large volumes of data. This can improve the performance and speed of your data load process by avoiding unnecessary system calculations. Loading the data through data loader, leveraging the bulk API, or enabling granular locking are also options that can help with data load times, but they do not directly address the system calculations issue.


                                  질문 # 12
                                  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:

                                  정답：A,B,E

                                  설명：
                                  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.


                                  질문 # 13
                                  Universal Containers (UC) loads bulk leads and campaigns from third-party lead aggregators on a weekly and monthly basis. The expected lead record volume is 500K records per week, and the expected campaign records volume is 10K campaigns per week. After the upload, Lead records are shared with various sales agents via sharing rules and added as Campaign members via Apex triggers on Lead creation. UC agents work on leads for 6 months, but want to keep the records in the system for at least 1 year for reference.
                                  Compliance requires them to be stored for a minimum of 3 years. After that, data can be deleted. What statement is true with respect to a data archiving strategy for UC?

                                  정답：D

                                  설명：
                                  Leveraging a "tier"-based approach to classify the record storage need is a true statement with respect to a data archiving strategy for UC. This approach involves defining different tiers of data based on their usage, value, and retention policies, and then applying appropriate storage and archiving solutions for each tier .


                                  질문 # 14
                                  An Architect needs to document the data architecture for a multi-system, enterprise Salesforce implementation.
                                  Which two key artifacts should the Architect use? (Choose two.)

                                  정답：A,C


                                  질문 # 15
                                  ......

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