Data-Architect Exam Lab Questions - Data-Architect Test Papers

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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 Governance and Management- Security and compliance
          • 1. Regulatory compliance considerations
            • 2. Data access controls
              - Data quality management
              • 1. Data validation rules
                • 2. Deduplication strategies
                  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. Indexing and query optimization
                            • 2. Bulk data processing strategies
                              Master Data Management (MDM)- MDM architecture
                              • 1. Data synchronization approaches
                                • 2. Golden record design

                                  >> Data-Architect Exam Lab Questions <<

                                  Salesforce Data-Architect Test Papers & Data-Architect Valid Exam Guide

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                                  Salesforce Certified Data Architect Sample Questions (Q156-Q161):

                                  NEW QUESTION # 156
                                  US has released a new disaster recovery (DR)policy that states that cloud solutions need a business continuity plan in place separate from the cloud providers built in data recovery solution.
                                  Which solution should a data architect use to comply with the DR policy?

                                  Answer: A

                                  Explanation:
                                  The best solution to comply with the DR policy is to leverage a 3rd party tool that extract Salesforce data
                                  /metadata and stores the information in an external protected system. This solution can help create a backup of Salesforce data and metadata in case of a disaster or data loss event. It can also help restore data from the backup system to Salesforce if needed. There are various 3rd party tools available in the AppExchange or online that offer data backup and recovery services for Salesforce 6 7 . Leverage Salesforce weekly exports and store data in flat files on a protected system is not a good solution because it does not include metadata backup and it does not allow granular or automated data recovery. Utilize an ETL tool to migrate data to an on-premise archive solution is not a good solution because it does not include metadata backup and it may require complex data transformations and synchronizations. Write a custom batch job to extract data changes nightly and store in an external protected system is not a good solution because it does not include metadata backup and it may have performance or reliability issues.


                                  NEW QUESTION # 157
                                  Universal Containers (UC) is a major supplier of office supplies. Some products are produced by UC and some by other manufacturers. Recently, a number of customers have complained that product descriptions on the invoices do not match the descriptions in the online catalog and on some of the order confirmations (e.g., "ballpoint pen" in the catalog and "pen" on the invoice, and item color labels are inconsistent: "what vs. "White" or "blk" vs. "Black"). All product data is consolidated in the company data warehouse and pushed to Salesforce to generate quotes and invoices. The online catalog and webshop is a Salesforce Customer Community solution. What is a correct technique UC should use to solve the data inconsistency?

                                  Answer: B

                                  Explanation:
                                  A correct technique UC should use to solve the data inconsistency is to define a data taxonomy for product data and apply the taxonomy to the product data in the data warehouse. A data taxonomy is a hierarchical classification of data entities and attributes that defines their meaning, format, and relationships. A data taxonomy can help ensure consistency, accuracy, and completeness of product data across different systems and channels


                                  NEW QUESTION # 158
                                  Universal Containers has a large volume of Contact data going into Salesforce.com. There are 100,000 existing contact records. 200,000 new contacts will be loaded. The Contact object has an external ID field that is unique and must be populated for all existing records. What should the architect recommend to reduce data load processing time?

                                  Answer: C

                                  Explanation:
                                  Loading new records via the Insert operation and existing records via the Update operation will allow using the external ID field as a unique identifier and avoid any duplication or overwriting of records. This is faster and safer than deleting all existing records or using the Upsert operation, which might cause conflicts or errors
                                  .


                                  NEW QUESTION # 159
                                  Universal Containers (UC) is implementing a Salesforce project with large volumes of data and daily transactions. The solution includes both real-time web service integrations and Visualforce mash -ups with back -end systems. The Salesforce Full sandbox used by the project integrates with full-scale back -end testing systems. What two types of performance testing are appropriate for this project?
                                  Choose 2 answers

                                  Answer: A,C

                                  Explanation:
                                  Pre-go-live automated page-load testing against the Salesforce Full sandbox can help identify and resolve any performance bottlenecks or issues before deploying the solution to production. The Full sandbox is an ideal environment for performance testing as it replicates the production org in terms of data, metadata, and integrations. Stress testing against the web services hosted by the integration middleware can also help evaluate the scalability and reliability of the integration solution under high load conditions.


                                  NEW QUESTION # 160
                                  DreamHouse Realty has a Salesforce deployment that manages Sales, Support, and Marketing efforts in a multi-system ERP environment. The company recently reached the limits of native reports and dashboards and needs options for providing more analytical insights.
                                  What are two approaches an Architect should recommend? (Choose two.)

                                  Answer: B,C


                                  NEW QUESTION # 161
                                  ......

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