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The Salesforce Data-Architect certification is one of the top-rated career advancement certifications in the market. This Salesforce Certified Data Architect (Data-Architect) certification exam has been inspiring candidates since its beginning. Over this long time period, thousands of Data-Architect Exam candidates have passed their Salesforce Certified Data Architect (Data-Architect) certification exam and now they are doing jobs in the world's top brands. You can also be a part of this wonderful community.

Salesforce Data-Architect Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Integration15%- API-based integration (REST, SOAP, Bulk API)
- Handling locks and parallelism during migration
- ETL tools and data migration strategies
- Real-time vs batch integration patterns
- Sharing rules impact on data integration
Topic 2: Master Data Management20%- Data duplication and matching rules
- Data cleansing techniques
- Identity resolution
Topic 3: Data Governance20%- Data quality standards and metrics
- Compliance and regulatory considerations
- Data stewardship roles and responsibilities
- Data retention and archiving policies
Topic 4: Data Modeling25%- Normalization and denormalization strategies
- Large Data Volumes (LDV) design considerations
- Indexing strategies
- Big Objects and external objects
- Skinny tables for performance optimization
Topic 5: Data Architecture20%- Governor limits and bulk processing
- Performance tuning and optimization
- Archiving and data lifecycle management
- Architecture patterns and design principles

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Salesforce Certified Data Architect Sample Questions (Q205-Q210):

NEW QUESTION # 205
Universal Containers (UC) is a business that works directly with individual consumers (B2C). They are moving from a current home-grown CRM system to Salesforce. UC has about one million consumer records. What should the architect recommend for optimal use of Salesforce functionality and also to avoid data loading issues?

Answer: C

Explanation:
According to the exam guide, one of the objectives is to "describe best practices for implementing a single-org strategy in a B2C scenario"1. This implies that option D is the best practice for loading individual consumers as contacts in Salesforce. This approach avoids creating unnecessary accounts and reduces data duplication. Option C is not correct because it creates one account per contact, which increases data volume and complexity. Options A and B are not correct because they do not leverage the standard contact object, which provides native functionality and integration with other Salesforce features.


NEW QUESTION # 206
Universal Containers (UC) has a very large and complex Salesforce org with hundreds of validation rules and triggers. The triggers are responsible for system updates and data manipulation as records are created or updates by users. A majority of the automation tool within UC'' org were not designed to run during a data load. UC is importing 100,000 records into Salesforce across several objects over the weekend.
What should a data architect do to mitigate any unwanted results during the import?

Answer: D

Explanation:
Ensuring validation rules, triggers and other automation tools are disabled is the best way to mitigate any unwanted results during the import, as it prevents any errors or conflicts that may occur due to the existing logic. Ensuring duplication and matching rules are defined may not be sufficient or relevant for preventing unwanted results. Importing the data in smaller batches over a 24-hour period may not be necessary or efficient. Bulkifying the trigger to handle import leads may not be possible or desirable if the triggers were not designed to run during a data load.


NEW QUESTION # 207
Universal Containers (UC) is facing data quality issues where Sales Reps are creating duplicate customer accounts, contacts, and leads. UC wants to fix this issue immediately by prompting users about a record that possibly exists in Salesforce. UC wants a report regarding duplicate records. What would be the recommended approach to help UC start immediately?

Answer: D

Explanation:
Creating a duplicate rule for account, lead, and contact, using standard matching rules for these objects, and setting the action to report and alert for both creates and edits can help UC fix the issue immediately by prompting users about a record that possibly exists in Salesforce. This can also generate a report regarding duplicate records that can be used for further analysis and resolution


NEW QUESTION # 208
Ursa Major Solar has defined a new Data Quality Plan for their Salesforce data.
Which two approaches should an Architect recommend to enforce the plan throughout the organization?
(Choose two.)

Answer: A,D

Explanation:
Enforcing critical business processes by using Workflow, Validation Rules, and Apex code can help ensure data quality and consistency by applying rules and logic to the data entry and update3. Scheduling a weekly dashboard displaying records that are missing information to be sent to managers for review can help identify and fix data quality issues by providing visibility and accountability4.


NEW QUESTION # 209
Universal Containers (UC) has three systems: Salesforce, a cloud -based ERP system, and an on -premise Order Management System (OMS). An architect has been tasked with creating a solution that uses Salesforce as the system of record for Leads and the OMS as the system of record for Account and Contacts. UC wants Accounts and Contacts to be able to maintain their names in each system (i.e., "John Doe" in the OMS and "Johnny Doe" in Salesforce), but wants to have a consolidated data store which links referenced records across the systems. What approach should an architect suggest so the requirements are met?

Answer: D


NEW QUESTION # 210
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