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Salesforce Data-Architect Certification Exam is a two-part exam that evaluates a professional's knowledge and skills in designing and building complex data architectures in Salesforce. The first part of the exam focuses on data modeling, data architecture, and data integration. The second part of the exam evaluates a professional's expertise in data governance, data quality, and data security. Salesforce Certified Data Architect certification exam is intended for professionals who have experience in data architecture, data modeling, data integration, and data management with the Salesforce platform.

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Salesforce Certified Data Architect Sample Questions (Q59-Q64):

NEW QUESTION # 59
Cloud Kicks has the following requirements:
- Data needs to be sent from Salesforce to an external system to generate invoices from their Order Management System (OMS).
- A Salesforce administrator must be able to customize which fields will be sent to the external system without changing code.
What are two approaches for fulfilling these requirements? (Choose two.)

Answer: A,B


NEW QUESTION # 60
A data architect has been tasked with optimizing a data stewardship engagement for a Salesforce instance Which three areas of Salesforce should the architect review before proposing any design recommendation?
Choose 3 answers

Answer: A,C,D

Explanation:
Determining if any integration points create records in Salesforce, running key reports to determine what fields should be required, and reviewing the sharing model to determine impact on duplicate records are three areas of Salesforce that the architect should review before proposing any design recommendation. These areas will help to identify the sources and quality of data, the business rules and validations for data entry, and the access and visibility of data across users and roles. Reviewing the metadata xml files for redundant fields to consolidate, and exporting the setup audit trail to review what fields are being used are not necessary steps for optimizing a data stewardship engagement, as they are more related to metadata management and audit tracking.


NEW QUESTION # 61
Northern Trail Outfitters (NTO) wants to implement backup and restore for Salesforce data, Currently, it has data backup processes that runs weekly, which back up all Salesforce data to an enterprise data warehouse (EDW). NTO wants to move to daily backups and provide restore capability to avoid any data loss in case of outage.
What should a data architect recommend for a daily backup and restore solution?

Answer: B

Explanation:
The data architect should recommend using AppExchange package for backup and restore. AppExchange is a marketplace for Salesforce apps and solutions that can be installed and configured in Salesforce orgs. There are several AppExchange packages that provide backup and restore functionality for Salesforce data, such as OwnBackup, Odaseva, or Spanning. These packages can perform daily backups of Salesforce data to a secure cloud storage, and provide restore capability to avoid any data loss in case of outage. Option B is incorrect because using ETL (Extract, Transform, Load) for backup and restore from EDW (Enterprise Data Warehouse) will require additional development effort and may not be reliable or secure. Option C is incorrect because using Bulk API to extract data on daily basis to EDW and REST API for restore will require additional integration effort and may not be scalable or performant. Option D is incorrect because changing weekly backup process to daily backup, and implementing a custom restore solution will require additional configuration effort and may not be robust or compliant.


NEW QUESTION # 62
UC has a legacy client server app that as a relational data base that needs to be migrated to salesforce.
What are the 3 key actions that should be done when data modeling in salesforce?
Choose 3 answers:

Answer: A,D,E

Explanation:
According to the Data Modeling unit on Trailhead, some of the key actions that should be done when data modeling in Salesforce are identifying data elements, mapping legacy data, and implementing legacy data model. The unit states that "Before you start creating objects and fields in Salesforce, you need to identify the data elements that you want to store and work with. ... Next, you need to map your legacy data to Salesforce objects and fields. ... Finally, you need to implement your data model in Salesforce by creating custom objects and fields using declarative tools or Metadata API." Therefore, these are the correct actions for migrating a legacy client server app to Salesforce.


NEW QUESTION # 63
Northern trail Outfitters (NTO) runs its entire out of an enterprise data warehouse (EDW), NTD's sales team starting to use Salesforce after a recent implementation, but currently lacks data required to advanced and opportunity to the next stage.
NTO's management has research Salesforce Connect and would like to use It to virtualize and report on data from the EDW within Salesforce. NTO will be running thousands of reports per day across 10 to 15 external objects.
What should a data architect consider before implementing Salesforce Connect for reporting?

Answer: D


NEW QUESTION # 64
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