Salesforce Data-Architect Q&A - in .pdf

  • Data-Architect pdf
  • Exam Code: Data-Architect
  • Exam Name: Salesforce Certified Data Architect
  • Updated: Oct 18, 2026
  • Q & A: 260 Questions and Answers
  • Convenient, easy to study.
    Printable Salesforce Data-Architect PDF Format. It is an electronic file format regardless of the operating system platform.
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  • PDF Price: $59.99

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  • Exam Code: Data-Architect
  • Exam Name: Salesforce Certified Data Architect
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  • If you purchase Salesforce Data-Architect Value Pack, you will also own the free online test engine.
  • Updated: Oct 18, 2026
  • Q & A: 260 Questions and Answers
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Salesforce Data-Architect Q&A - Testing Engine

  • Data-Architect Testing Engine
  • Exam Code: Data-Architect
  • Exam Name: Salesforce Certified Data Architect
  • Updated: Oct 18, 2026
  • Q & A: 260 Questions and Answers
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Salesforce Data-Architect Exam Syllabus Topics:

TopicDetails
Topic 1
  • Large Data Volume Considerations: This covers the design of a data model that scales considering large data volume and solution performance, a data archiving and purging plan, and the use of virtualized data options.
Topic 2
  • Salesforce Data Management: This topic covers the appropriate combination of Salesforce license types, techniques to ensure data is persisted in a consistent manner, and approaches to represent a single view of the customer on the Salesforce platform. It also covers techniques to effectively consolidate and leverage data from multiple Salesforce instances.
Topic 3
  • Data Governance: This topic covers the approach for designing a GDPR-compliant data model, including identifying, classifying, and protecting personal and sensitive information. It also delves into different approaches and considerations for designing and implementing an enterprise data governance program.
Topic 4
  • Master Data Management: This topic covers the various techniques, approaches, and considerations to implement Master Data Management Solutions, as well as techniques for establishing a "golden record" or "system of truth" for the customer domain. It also discusses approaches and techniques for consolidating data attributes and maintaining customer reference and metadata.
Topic 5
  • Data modeling
  • Database Design: This topic covers various techniques and considerations for designing a data model for the Customer 360 platform. It also focuses on approaches to designing a scalable data model that obeys the current security and sharing model. The topic also compares and contrasts techniques for capturing and managing business and technical metadata, as well as the reasons for implementing Big Objects vs Standard
  • Custom objects and approaches to avoid data skew.

Reference: https://trailheadacademy.salesforce.com/certificate/exam-data-architect---Plat-Arch-201

Salesforce Certified Data Architect Sample Questions:

Question #1

Universal Containers (UC) is concerned that data is being corrupted daily either through negligence or maliciousness. They want to implement a backup strategy to help recover any corrupted data or data mistakenly changed or even deleted. What should the data architect consider when designing a field -level audit and recovery plan?

  • A. Reduce data storage by purging old data.
  • B. Implement an AppExchange package.
  • C. Schedule a weekly export file.
  • D. Review projected data storage needs.
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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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?

  • A. Use Formula fields to surface information I related entities on the report.
  • B. Use an indexed data field with bounded data filters.
  • C. Use unbounded date ranges to filter the report.
  • D. Use triggers to populate denormalized related fields on the Account.
Reveal Solution  Discussion  0

Correct Answer: A,B  🗳️

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Question #3

Universal Containers has a large volume of Contact data going into Salesforce.com. There are 100,000 existing contact records. 200,000 new contacts will be loaded. The Contact object has an external ID field that is unique and must be populated for all existing records. What should the architect recommend to reduce data load processing time?

  • A. Load new records via the Insert operation and existing records via the Update operation.
  • B. Delete all existing records, and then load all records together via the Insert operation.
  • C. Load Contact records together using the Streaming API via the Upsert operation.
  • D. Load all records via the Upsert operation to determine new records vs. existing records.
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #4

The data architect for UC has written a SOQL query that will return all records from the Task object that do not have a value in the WhatID field:
Select id, description, Subject from Task where WhatId!= NULL
When the data architect usages the query to select values for a process a time out error occurs.
What does the data architect need to change to make this query more performant?

  • A. Change query to SOSL.
  • B. Add limit 100 to the query.
  • C. Remove description from the requested field set.
  • D. Change the where clause to filter by a deterministic defined value.
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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Question #5

Universal Containers (UC) has 1,000 accounts and 50,000 opportunities. UC has an enterprise security requirement to export all sales data outside of Salesforce on a weekly basis. The security requirement also calls for exporting key operational data that includes events such as file downloads, logins, logouts, etc.
Which two recommended approaches would address the above requirement?

  • A. Use Event Monitoring to extract event data to on-premise systems.
  • B. Use a custom built extract job to extract operational data to on-premise systems.
  • C. Use Field Audit History to capture operational data and extract it to on-premise systems.
  • D. Use Weekly Export to extract transactional data to on-premise systems.
Reveal Solution  Discussion  0

Correct Answer: A,D  🗳️

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