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Salesforce Data-Architect Exam With Confidence Using Practice Dumps

Exam Code:
Data-Architect
Exam Name:
Salesforce Certified Platform Data Architect Plat-Arch-201
Certification:
Vendor:
Questions:
257
Last Updated:
Sep 30, 2026
Exam Status:
Stable
Salesforce Data-Architect

Data-Architect: Application Architect Exam 2025 Study Guide Pdf and Test Engine

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Salesforce Certified Platform Data Architect Plat-Arch-201 Questions and Answers

Question 1

Universal Containers has a legacy system that captures Conferences and Venues. These Conferences can occur at any Venue. They create hundreds of thousands of Conferences per year. Historically, they have only used 20 Venues. Which two things should the data architect consider when denormalizing this data model into a single Conference object with a Venue picklist? Choose 2 answers

Options:

A.

Limitations on master -detail relationships.

B.

Org data storage limitations.

C.

Bulk API limitations on picklist fields.

D.

Standard list view in -line editing.

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Question 2

Developers at Universal Containers need to build a report for the business which displays Accounts opened in the past year grouped by industry. This report will also include information from contacts, opportunities, and orders. There are several million Accounts in the system. Which two options should be recommended to make this report perform well and satisfy the business need?

Options:

A.

Use triggers to populate denormalized related fields on the Account.

B.

Use an indexed data field with bounded data filters.

C.

Use Formula fields to surface information I related entities on the report.

D.

Use unbounded date ranges to filter the report.

Question 3

Universal Containers (UC) has a complex system landscape and is implementing a data governance program for the first time Which two first steps would be appropriate for UC to initiate an assessment of data architecture? Choose 2 answers

Options:

A.

Engage with IT program managers to assess current velocity of projects in the pipeline.

B.

Engage with database administrators to assess current database performance metrics.

C.

Engage with executive sponsorship to assess enterprise data strategy and goals.

D.

Engage with business units and IT to assess current operational systems and data models.