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Salesforce Data-Architect Exam Syllabus Topics:

SectionObjectives
Topic 1: Master Data Management (MDM)- MDM architecture
  • 1. Data synchronization approaches
    • 2. Golden record design
      Topic 2: 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
              Topic 3: Data Modeling and Database Design- Data modeling concepts
              • 1. Relational vs. non-relational data design
                • 2. Normalization and denormalization strategies
                  - Salesforce data model design
                  • 1. Schema design for scalability
                    • 2. Standard and custom objects usage
                      Topic 4: Data Governance and Management- Data quality management
                      • 1. Deduplication strategies
                        • 2. Data validation rules
                          - Security and compliance
                          • 1. Data access controls
                            • 2. Regulatory compliance considerations
                              Topic 5: Large Data Volume and Performance- Scalability considerations
                              • 1. Bulk data processing strategies
                                • 2. Indexing and query optimization

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                                  Data-Architect Test Questions Pdf | New Data-Architect Test Cram

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                                  Salesforce Certified Data Architect Sample Questions (Q178-Q183):

                                  NEW QUESTION # 178
                                  Universal Containers (UC) is implementing a formal, cross -business -unit data governance program As part of the program, UC will implement a team to make decisions on enterprise -wide data governance. Which two roles are appropriate as members of this team? Choose 2 answers

                                  Answer: C,D


                                  NEW QUESTION # 179
                                  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


                                  NEW QUESTION # 180
                                  Universal Containers (UC) is in the process of selling half of its company. As part of this split, UC's main Salesforce org will be divided into two org:org A and org B, UC has delivered these requirements to its data architect
                                  1. The data model for Org B will drastically change with different objects, fields, and picklist values.
                                  2. Three million records will need to be migrated from org A to org B for compliance reasons.
                                  3. The migrate will need occur within the next two month, prior to be split.
                                  Which migrate strategy should a data architect use to successfully migrate the date?

                                  Answer: A

                                  Explanation:
                                  Using an ETL tool to orchestrate the migration is the best strategy for this scenario, as it can handle the data model changes, the large volume of records, and the tight timeline. Writing a script to use the Bulk API (option C) is also possible, but it would require more coding and testing effort. Using Data Loader and Data Import Wizard (option B) is not suitable for migrating three million records, as they have limitations on the batch size and the number of records per operation. Using Salesforce CLI (option D) is also not recommended for large data migration, as it is mainly designed for development and testing purposes


                                  NEW QUESTION # 181
                                  A casino is implementing Salesforce and is planning to build a customer 360 degree view for a customer who visits its resorts. The casino currently maintains the following systems that record customer activity: L Point-of-sale system: All purchases for a customer
                                  2. Salesforce; All customer service activity and sales activities for a customer
                                  3. Mobile app: All bookings, preferences, and browser activity for a customer
                                  4. Marketing: All email, SMS, and social campaigns for a customer
                                  Customer service agents using Salesforee would like to view the activities from all four systems to provide support to customers. The information has to be current and real time.
                                  What strategy should the data architect implement to satisfy this requirement?

                                  Answer: D


                                  NEW QUESTION # 182
                                  Northern Trail Outfitters (NTO) has the following systems:
                                  Customer master-source of truth for customer information
                                  Service cloud-customer support
                                  Marketing cloud-marketing support
                                  Enterprise data warehouse-business reporting
                                  The customer data is duplicated across all these systems and are not kept in sync. Customers are also complaining that they get repeated marketing emails and have to call into update their information.
                                  NTO is planning to implement master data management (MDM) solution across the enterprise.
                                  Which three data will an MDM tool solve?
                                  Choose 3 answers

                                  Answer: C,D,E

                                  Explanation:
                                  According to the What is Master Data Management (MDM)? article, some of the data challenges that an MDM tool can solve are data duplication, data accuracy and quality, and data standardization. The article states that "MDM solutions comprise a broad range of data cleansing, transformation, and integration practices. As data sources are added to the system, MDM initiates processes to identify, collect, transform, and repair data. Once the data meets the quality thresholds, schemas and taxonomies are created to help maintain a high-quality master reference." Therefore, an MDM tool can help NTO eliminate data duplication across different systems, improve data accuracy and quality by removing errors and inconsistencies, and standardize data formats and definitions for better integration and analysis.


                                  NEW QUESTION # 183
                                  ......

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