Authentic Salesforce Data-Architect Exam Questions with Answers

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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 Governance and Management- Security and compliance
      • 1. Regulatory compliance considerations
        • 2. Data access controls
          - Data quality management
          • 1. Data validation rules
            • 2. Deduplication strategies
              Master Data Management (MDM)- MDM architecture
              • 1. Golden record design
                • 2. Data synchronization approaches
                  Data Integration- Salesforce integration tools
                  • 1. MuleSoft and REST/SOAP APIs
                    • 2. Platform events and change data capture
                      - Integration patterns
                      • 1. API-based integration strategies
                        • 2. ETL vs real-time integration
                          Data Modeling and Database Design- Salesforce data model design
                          • 1. Standard and custom objects usage
                            • 2. Schema design for scalability
                              - Data modeling concepts
                              • 1. Normalization and denormalization strategies
                                • 2. Relational vs. non-relational data design

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                                  Salesforce Certified Data Architect Sample Questions (Q258-Q263):

                                  NEW QUESTION # 258
                                  A manager at Cloud Kicks is importing Leads into Salesforce and needs to avoid creating duplicate records.
                                  Which two approaches should the manager take to achieve this goal? (Choose two.)

                                  Answer: A,C


                                  NEW QUESTION # 259
                                  Universal Containers is integrating a new Opportunity engagement system with Salesforce. According to their Master Data Management strategy, Salesforce is the system of record for Account, Contact, and Opportunity dat a. However, there does seem to be valuable Opportunity data in the new system that potentially conflicts with what is stored in Salesforce. What is the recommended course of action to appropriately integrate this new system?

                                  Answer: A


                                  NEW QUESTION # 260
                                  NTO has multiple systems across its enterprise landscape including salesforce, with disparate version the customer records.
                                  In salesforce, the customer is represented by the contact object.
                                  NTO utilizes an MDM solution with these attributes:
                                  1. The MDM solution keeps track of customer master with a master key.
                                  2. The master key is a map to the record ID's from each external system that customer data is stored within.
                                  3. The MDM solution provides de-duplication features, so it acts as the single source of truth.
                                  How should a data architect implement the storage of master key within salesforce?

                                  Answer: C


                                  NEW QUESTION # 261
                                  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

                                  Answer: A,C

                                  Explanation:
                                  Cleaning data before importing to Salesforce and using Salesforce matching and duplicate rules are two design considerations that an architect should take to minimize data duplication when migrating legacy account data from two aging systems into Salesforce. Cleaning data before importing involves removing or correcting any inaccurate, incomplete, or inconsistent data from the source systems, as well as identifying and resolving any potential duplicates. This ensures that only high-quality and unique data is imported to Salesforce. Using Salesforce matching and duplicate rules allows the architect to define how Salesforce identifies duplicate records during import and how users can handle them. This prevents or reduces the creation of duplicate records in Salesforce and improves data quality. The other options are not effective or recommended for minimizing data duplication.


                                  NEW QUESTION # 262
                                  Universal Containers (UC) has deployed Salesforce to manage Marketing. Sales, and Support efforts in a multi -system ERP environment After reaching the limits of native reports & dashboards. UC leadership is looking to understand what options can be used to provide more analytical insights. What two approaches should an architect recommend? Choose 2 answers

                                  Answer: C,D

                                  Explanation:
                                  According to the exam guide, one of the objectives is to "describe the use cases and considerations for using AppExchange apps and Wave Analytics"1. This implies that options A and B are both valid approaches to provide more analytical insights. Option C is not correct because weekly snapshots are used to track changes over time, not to provide advanced analytics3. Option D is not correct because setup audit trails are used to monitor changes in the setup menu, not to provide analytical insights.


                                  NEW QUESTION # 263
                                  ......

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