Power Platform Data Migration Strategy Quiz

1. What is a key risk factor when migrating large volumes of data to the cloud?

Loss of data integrity

Network bandwidth limitations

Increased licensing fees

User resistance

2. After migration completion, what is the recommended retention period for legacy system backups?

Immediate deletion

One week

30–90 days or per compliance requirements

Indefinite storage

3. When mapping legacy system fields to Dataverse, what should be documented?

Field names and data types only

Field mappings, transformations, and validation rules

Only the source system structure

Migration dates only

4. Which stakeholder group must validate that migrated data meets business requirements?

IT infrastructure team only

Business users and data owners

Database administrators only

External consultants

5. What is a rollback plan in data migration?

A strategy to revert to the original system if migration fails

A method to compress migrated data

A process for deleting old data

A technique for encrypting sensitive fields

6. During migration, how should you handle data that doesn't conform to Dataverse schemas?

Delete non-conforming data

Transform or map it to compatible formats

Store separately in external databases

Ignore and continue migration

7. What is the primary benefit of using Azure Data Factory for Power Platform migrations?

Lower licensing costs

Automated, scalable data integration pipelines

Built-in user interface design

Reduced storage requirements

8. Which approach is recommended for migrating sensitive or regulated data?

Direct cloud migration without encryption

Encryption before migration and secure transport protocols

Manual entry of each record

Temporary storage on USB drives

9. In a migration strategy, what does the 'cutover window' refer to?

The period when old and new systems run simultaneously

The scheduled downtime for switching from old to new system

The time allocated for user training

The duration of data backup procedures

10. Which Dataverse feature helps maintain referential integrity during migration?

Business rules

Lookup relationships

Choice columns

Calculated columns

11. Which Power Platform tool is primarily used for migrating data between Dataverse environments?

Power Automate

Power BI

Configuration Migration Tool

Power Pages

12. When handling legacy system data, which step prevents duplicate records during migration?

Data formatting

Data deduplication

Data encryption

Data compression

13. Which tool can be used to automate data migration workflows in Power Platform?

Power Automate cloud flows

Power BI dashboards

Power Pages forms

Power Virtual Agents

14. What does ETL stand for in the context of data migration?

Extract, Transform, Load

Evaluate, Test, Launch

Export, Transfer, Link

Establish, Transmit, Locate

15. Which of the following is essential for validating data quality post-migration?

Spot checks and sample audits

Comprehensive data reconciliation

User acceptance testing

All of the above

16. When migrating data to Dataverse, what is a critical consideration for custom fields?

All custom fields must be deleted

Custom fields should be mapped to equivalent Dataverse columns

Custom fields are automatically converted

Custom fields cannot be migrated

17. Which approach minimizes downtime during data migration?

Big-bang migration

Phased migration

Parallel migration

Trickle migration

18. What is the primary purpose of performing a pilot migration before full-scale deployment?

To reduce licensing costs

To identify risks and validate the migration strategy

To train end users on new systems

To backup all existing data

19. During data migration, which step ensures that relationships between records are maintained?

Data validation

Data mapping

Data cleansing

Data reconciliation

20. What is the maximum file size for a single data import using the Configuration Migration Tool?

10 MB

50 MB

100 MB

500 MB

Power Platform Solution Architect Data Migration Strategy Quiz