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Salesforce Data-Architect Exam Syllabus Topics:

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

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                                  Salesforce Data-Architect - Salesforce Certified Data Architect Perfect Actualtest

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                                  Salesforce Certified Data Architect Sample Questions (Q225-Q230):

                                  NEW QUESTION # 225
                                  Universal Containers has received complaints that customers are being called by multiple Sales Reps where the second Sales Rep that calls is unaware of the previous call by their coworker. What is a data quality problem that could cause this?

                                  Answer: D

                                  Explanation:
                                  A data quality problem that could cause customers to be called by multiple Sales Reps is having duplicate Contact records in the system. Duplicate records can result from data entry errors, data imports, or integrations with other systems. Duplicate records can lead to confusion, inefficiency, and customer dissatisfaction


                                  NEW QUESTION # 226
                                  Get Cloudy Consulting needs to evaluate the completeness and consistency of contact information in Salesforce. Their sales reps often have incomplete information about their accounts and contacts. Additionally, they are not able to interpret the information in a consistent manner. Get Cloudy Consulting has identified certain ""key"" fields which are important to their sales reps.
                                  What are two actions Get Cloudy Consulting can take to review their data for completeness and consistency?
                                  (Choose two.)

                                  Answer: A,D

                                  Explanation:
                                  Running a report that shows the last time the key fields were updated can help Get Cloudy Consulting identify stale or outdated data and prioritize data cleansing activities. Running a report that shows the percentage of blanks for the important fields can help Get Cloudy Consulting measure the completeness of their data and identify gaps or missing value


                                  NEW QUESTION # 227
                                  Which two aspects of data does an Enterprise data governance program aim to improve?

                                  Answer: A,B

                                  Explanation:
                                  Data integrity and data usability are two aspects of data that an Enterprise data governance program aims to improve. Data integrity refers to the accuracy, consistency, and validity of the data across the enterprise 2
                                  . Data usability refers to the ease of access, analysis, and interpretation of the data by the end users


                                  NEW QUESTION # 228
                                  UC is trying to switch from legacy CRM to salesforce and wants to keep legacy CRM and salesforce in place till all the functionality is deployed in salesforce. The want to keep data in synch b/w Salesforce, legacy CRM and SAP. What is the recommendation.

                                  Answer: C,D

                                  Explanation:
                                  Integrate SAP with Salesforce, SAP to legacy CRM but not legacy CRM to Salesforce. This is a good recommendation because it allows both Salesforce and the legacy CRM to interact with the ERP system, which can be the source of truth for some data entities. However, it avoids creating a direct connection between Salesforce and the legacy CRM, which can cause data duplication and synchronization issues.
                                  Suggest MDM solution and link MDM to salesforce and SAP. This is another good recommendation because it can help manage the data lifecycle and quality across multiple systems, as well as provide a single view of the customer data


                                  NEW QUESTION # 229
                                  Which three characteristics of a skinny table help improve report and query performance?

                                  Answer: A,C,D

                                  Explanation:
                                  The three characteristics of a Skinny table that help improve report and query performance are: Skinny tables can contain frequently used fields and thereby help avoid joins. Skinny tables are kept in sync with changes to data in the source tables. Skinny tables do not include records that are available in the recycle bin. These characteristics are beneficial because they reduce the query complexity and execution time, and improve the data accuracy and freshness. For example, skinny tables can contain frequently used fields from multiple objects, such as Account and Contact, and thereby help avoid joins that can slow down queries4. Skinny tables are updated automatically when the source tables are modified, so they always reflect the latest data5. Skinny tables do not include records that are available in the recycle bin, so they only contain active records that are relevant for reports and queries.


                                  NEW QUESTION # 230
                                  ......

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