Last Updated: Aug 27, 2026
No. of Questions: 279 Questions & Answers with Testing Engine
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Master Data Management | 5% | - MDM implementation approaches
|
| Topic 2: Data Integration | 20% | - Data synchronization and consistency
|
| Topic 3: Large Data Volumes and Performance | 20% | - LDV architecture design
|
| Topic 4: Data Migration | 15% | - Migration strategy and planning
|
| Topic 5: Data Governance, Quality and Security | 15% | - Data governance framework
|
| Topic 6: Data Modeling and Database Design | 25% | - Data model design for Customer 360
|
Question 1
DreamHouse Realty has a Salesforce org that is used to manage Contacts. What are two things an Architect should consider using to maintain data quality in this situation? (Choose two.)
A. Use Salesforce duplicate management.
B. Use the private sharing model.
C. Use workflow to delete duplicate records.
D. Use validation rules on new record create and edit.
Question 2
What 2 data management policies does the data classification feature allow customers to classify in salesforce? Choose 2 answer
A. Compliance categorization policy.
B. Reference data policy.
C. Data sensitivity level
D. Data governance policy.
Question 3
What is the selectivity threshold for standard indexed fields?
A. 20%
B. 50%
C. 30%
D. 10%
Question 4
North Trail Outfitters (NTO) operates a majority of its business from a central Salesforce org, NTO also owns several secondary orgs that the service, finance, and marketing teams work out of, At the moment, there is no integration between central and secondary orgs, leading to data- visibility issues.
Moving forward, NTO has identified that a hub-and-spoke model is the proper architect to manage its data, where the central org is the hub and the secondary orgs are the spokes.
Which tool should a data architect use to orchestrate data between the hub org and spoke orgs?
A. A backup and archive solution that extracts and restores data across orgs.
B. Develop custom APIs to poll the spoke for change data and push into the org.
C. Develop custom APIs to poll the hub org for change data and push into the spoke orgs.
D. A middleware solution that extracts and distributes data across both the hub and spokes.
Question 5
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?
A. Use ETL for backup and restore from EDW.
B. Change weekly backup process to daily backup, and implement a custom restore solution.
C. Use Bulk API to extract data on daily basis to EDW and REST API for restore.
D. Use AppExchange package for backup and restore.
Solutions:
| Question 1 Answer: A,D | Question 2 Answer: A,C | Question 3 Answer: C | Question 4 Answer: D | Question 5 Answer: D |
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