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Microsoft Exam PL-300 Topic 3 Question 51 Discussion

Actual exam question for Microsoft's PL-300 exam
Question #: 51
Topic #: 3
[All PL-300 Questions]

Adding an index key and normalizing casing in the data source would help resolve issues with undefined values and errors in a case-sensitive column. The index key can provide a unique identifier, and normalizing casing ensures consistency in the data, which would likely prevent the errors you encountered in the Power BI semantic model.

You have a Power BI data model that imports a date table and a sales table from an Azure SQL database data source. The sales table has the following date foreign keys.

* Due Date

* Order Date

* Delivery Date

You need to support the analysis of sales over time based on all three dates at the same time.

Solution: For each date foreign key, you add inactive relationships between the sales table and the date table.

Does this meet the goal?

Show Suggested Answer Hide Answer
Suggested Answer: B

Simply adding inactive relationships between the sales table and the date table for each date foreign key does not fully meet the goal. While inactive relationships allow for flexibility, they alone do not enable analysis over time based on all three dates simultaneously.

To achieve this, you would need to use DAX functions like USERELATIONSHIP to activate the appropriate relationship in your measures. Without this, the inactive relationships won't be utilized in your calculations, meaning that analysis based on those dates won't work as intended.


Contribute your Thoughts:

Dalene
3 months ago
The solution of adding inactive relationships seems straightforward, but I'm curious if there are any potential drawbacks or alternative approaches that could be considered. It's always good to have a few options in mind.
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Filiberto
1 months ago
That makes sense. It's important to consider all options before making a decision.
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Theodora
1 months ago
I agree, it seems like the best approach for analyzing sales over time.
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Mitsue
1 months ago
A) Yes
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Suzan
1 months ago
I think adding inactive relationships is a good solution.
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Tommy
1 months ago
B) No
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Jesusa
1 months ago
A) Yes
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Amira
3 months ago
I'm not sure, but I think adding inactive relationships could work if the goal is to analyze sales over time based on all three dates simultaneously.
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Dulce
3 months ago
Haha, this question reminds me of the time I tried to sort a sales report by the 'Delivery Date' column and ended up with a complete mess. Normalizing the data is definitely the way to go!
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Fernanda
2 months ago
B) No
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Charlena
3 months ago
A) Yes
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Ressie
4 months ago
I disagree, I think adding an index key and normalizing casing in the data source would be a better solution to prevent errors in the Power BI semantic model.
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Carmela
4 months ago
I'm not sure if adding inactive relationships is the best approach here. Wouldn't it be better to have active relationships between the tables to ensure the data is properly linked for analysis?
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Malcom
3 months ago
I agree with Malcom, active relationships would be more suitable for proper data analysis.
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Ligia
3 months ago
B) No
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Cathrine
3 months ago
A) Yes
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Nathalie
4 months ago
Yes, adding inactive relationships between the sales table and the date table would allow for analysis based on all three dates at the same time.
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Loren
4 months ago
Adding inactive relationships between the sales table and the date table seems like a good solution. This would allow analysis based on all three date fields without any issues.
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Johnna
3 months ago
A) Yes
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Latrice
3 months ago
B) No
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Beata
3 months ago
A) Yes
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