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Salesforce Data-Architect Exam Syllabus Topics:

Section	Objectives
Master Data Management (MDM)	- MDM architecture 1. Data synchronization approaches 2. Golden record design
Data Modeling and Database Design	- Salesforce data model design 1. Schema design for scalability 2. Standard and custom objects usage - Data modeling concepts 1. Relational vs. non-relational data design 2. Normalization and denormalization strategies
Data Integration	- Salesforce integration tools 1. MuleSoft and REST/SOAP APIs 2. Platform events and change data capture - Integration patterns 1. ETL vs real-time integration 2. API-based integration strategies
Large Data Volume and Performance	- Scalability considerations 1. Bulk data processing strategies 2. Indexing and query optimization
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

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Salesforce Certified Data Architect Sample Questions (Q27-Q32):

NEW QUESTION # 27
All accounts and opportunities are created in Salesforce. Salesforce is integrated with three systems:
* An ERP system feeds order data into Salesforce and updates both Account and Opportunity records.
* An accounting system feeds invoice data into Salesforce and updates both Account and Opportunity records.
* A commission system feeds commission data into Salesforce and updates both Account and Opportunity records.
How should the architect determine which of these systems is the system of record?

A. Whatever integration data flow runs last will, by default, determine which system is the system of record.
B. Data flows should be reviewed with the business users to determine the system of record per object or field.
C. Whatever system updates the attribute or object should be the system of record for that field or object.
D. Account and opportunity data originates in Salesforce, and therefore Salesforce is the system of record.

Answer: B

NEW QUESTION # 28
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?

A. Define a data taxonomy for product data and apply the taxonomy to the product data in the data warehouse.
B. Change integration to let product master systems update product data directly in Salesforce via the Salesforce API.
C. Add custom fields to the Product standard object in Salesforce to store data from the different source systems.
D. Build Apex Triggers in Salesforce that ensure products have the correct names and labels after data is loaded into salesforce.

Answer: A

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 # 29
NTO has been using salesforce for sales and service for 10 years. For the past 2 years, the marketing group has noticed a raise from 0 to 35 % in returned mail when sending mail using the contact information stored in salesforce.
Which solution should the data architect use to reduce the amount of returned mails?

A. Use a 3rd-party data source to update contact information in salesforce.
B. Have the sales team to call all existing customers and ask to verify the contact details.
C. Delete contacts when the mail is returned to save postal cost to NTO.
D. Email all customer and asked them to verify their information and to call NTO if their address is incorrect.

Answer: A

NEW QUESTION # 30
UC has to built a B2C ecommerce site on Heroku that shares customer and order data with a Heroku Postgres database. UC is currently utilizing Postgres as the single source of truth for both customers and orders. UC has asked a data architect to replicate the data into salesforce so that salesforce can now act as the system of record.
What are the 3 considerations that data architect should weigh before implementing this requirement? Choose
23 answers:

A. A selection of the tool required to replicate the data.
B. Ensure there is a tight relationship between order data and an enterprise resource plaining (ERP) application.
C. - Heroku Connect is required but this is confusing
D. Ensure the data is CRM center and able to populate standard of custom objects.
E. Determine if the data is driver of key process implemented within salesforce.
F. Consider whether the data is required for sales reports, dashboards and KPI's.

Answer: A,B,E

Explanation:
Before replicating the data from Heroku Postgres to Salesforce, the data architect should consider the following factors:
Whether the data is a driver of key processes implemented within Salesforce. For example, if the data is used for workflows, triggers, or validation rules, it should be replicated to Salesforce.
Whether there is a tight relationship between order data and an enterprise resource planning (ERP) application. For example, if the order data needs to be synchronized with the ERP system, it should be replicated to Salesforce.
The selection of the tool required to replicate the data. For example, Heroku Connect can be used to bi-directionally sync data between Heroku Postgres and Salesforce

NEW QUESTION # 31
The architect is planning a large data migration for Universal Containers from their legacy CRM system to Salesforce. What three things should the architect consider to optimize performance of the data migration? Choose 3 answers

A. Deactivate approval processes and workflow rules.
B. Defer sharing calculations of the Salesforce Org.
C. Determine if the legacy system is still in use.
D. Review the time zones of the User loading the data.
E. Remove custom indexes on the data being loaded.

Answer: A,B,E

Explanation:
Removing custom indexes on the data being loaded will prevent unnecessary index maintenance and improve the data load speed. Deferring sharing calculations of the Salesforce Org will avoid frequent sharing rule evaluations and reduce the load time. Deactivating approval processes and workflow rules will prevent triggering any automation logic that might slow down or fail the data load.

NEW QUESTION # 32
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