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Salesforce Data-Architect Exam Syllabus Topics:

Section	Objectives
Data Integration	- Integration patterns 1. ETL vs real-time integration 2. API-based integration strategies - Salesforce integration tools 1. MuleSoft and REST/SOAP APIs 2. Platform events and change data capture
Data Governance and Management	- Security and compliance 1. Data access controls 2. Regulatory compliance considerations - Data quality management 1. Deduplication strategies 2. Data validation rules
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
Large Data Volume and Performance	- Scalability considerations 1. Indexing and query optimization 2. Bulk data processing strategies
Master Data Management (MDM)	- MDM architecture 1. Golden record design 2. Data synchronization approaches

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Salesforce Certified Data Architect Sample Questions (Q93-Q98):

NEW QUESTION # 93
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. - Heroku Connect is required but this is confusing
C. Ensure there is a tight relationship between order data and an enterprise resource plaining (ERP) application.
D. Ensure the data is CRM center and able to populate standard of custom objects.
E. Consider whether the data is required for sales reports, dashboards and KPI's.
F. Determine if the data is driver of key process implemented within salesforce.

Answer: A,C,F

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 # 94
Which two statements are accurate with respect to performance testing a Force.com application?

A. Application performance benchmarked in a sandbox can also be expected in production.
B. Applications with highly customized code or large volumes should be performance tested.
C. A performance test plan must be created and submitted to Salesforce customer support.
D. All Force.com applications must be performance tested in a sandbox as well as production.

Answer: B,C

NEW QUESTION # 95
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

A. Data completeness
B. Data standardization
C. Data duplication
D. Data accuracy and quality
E. Data loss and recovery

Answer: B,C,D

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 # 96
Which API should a data architect use if exporting 1million records from Salesforce?

A. Bulk API
B. REST API
C. SOAP API
D. Streaming API

Answer: A

Explanation:
Using Bulk API to export 1 million records from Salesforce is the best option. Bulk API is a RESTful API that allows you to perform asynchronous operations on large sets of data. You can use Bulk API to create, update, delete, or query millions of records in batches. Bulk API is optimized for performance and scalability, and it can handle complex data loading scenarios.

NEW QUESTION # 97
An architect has been asked to provide error messages when a future date is detected in a custom Birthdate _c field on the Contact object. The client wants the ability to translate the error messages. What are two approaches the architect should use to achieve this solution? Choose 2 answers

A. Create a workflow field update to set the standard ErrorMessage field.
B. Implement a third -party validation process with translate functionality.
C. Create a trigger on Contact and add an error to the record with a custom label.
D. Create a validation rule and translate the error message with translation workbench.

Answer: C,D

NEW QUESTION # 98
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