Microsoft Exam PL-600 Topic 11 Question 74 Discussion

Actual exam question for Microsoft's PL-600 exam

Question #: 74
Topic #: 11

A customer plans to use Microsoft Power Platform integration capabilities to migrate its on-premises sales database to Microsoft Dataverse. The database has more than 10 years of sales data with complex table relationships. The data is used to generate real-time sales reports and predictive analytics.

The customer requires a data migration strategy that implements the following:

* ensures minimal downtime

* maintains data integrity

* allows for validation of migrated data before switching to the new system

* ensures that the historical data is preserved accurately in the Dataverse environment

Which two strategies should you use? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

APerform a full migration and start using Dataverse after migration.

BPerform a full migration and perform a test run on Dataverse to simulate real-time activity.

CDevelop a phased migration plan in which data is moved in chunks based on years.

DMap the data schema to Dataverse and validate integrity through trial loads.

EMigrate historical data to Azure Data Lake to reduce migration complexity.

Show Suggested Answer

Suggested Answer: C, D

by Micheal at Oct 22, 2024, 09:48 PM

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Yesenia

2 days ago

Totally agree, D makes the most sense!

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Clarence

8 days ago

I think option D is a must for data integrity.

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Carolann

13 days ago

I remember something about testing before going live. Option B could be useful for simulating real-time activity, but I wonder if it covers all the requirements.

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Rex

19 days ago

I think we practiced scenarios where full migrations were risky. Option A seems too straightforward, but I can't recall if it's the best approach.

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Raylene

24 days ago

I'm not entirely sure, but I feel like a phased migration could help minimize downtime. Option C sounds familiar from our practice questions.

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Delpha

1 month ago

I remember we discussed the importance of validating data integrity during migration. I think option D might be a good choice for that.

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Sylvie

1 month ago

Mapping the data schema and validating through trial loads is definitely a key step. Making sure the data structure and relationships translate properly to Dataverse will be crucial for the success of this migration.

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Adell

1 month ago

I'm a bit unsure about migrating the historical data to Azure Data Lake. That seems like it might add unnecessary complexity and make it harder to maintain the data integrity and real-time reporting requirements.

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Polly

1 month ago

Phased migration by years could be a smart approach to manage the complexity and large volume of data. That way, we can test and validate each chunk before moving on to the next.

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Jesus

1 month ago

Performing a full migration and then simulating real-time activity on Dataverse sounds like a good way to validate the data integrity before going live. That would help ensure minimal downtime and preserve the historical data accurately.

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Shayne

1 month ago

This seems like a complex migration with a lot of requirements to consider. I'd start by mapping out the data schema and relationships to understand how the data is structured before attempting any migration.

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Karon

1 year ago

You know, I heard that Dataverse can handle real-time reports and analytics better than any on-premises database. This is a no-brainer, just do the full migration already! (Cue the jazz hands)

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