Quick Answer
The correct answer is to change the column data type to Date in Power Query Editor. This works because Power Query uses your current locale settings to parse text strings into date values; when you explicitly set the data type to Date, it automatically interprets the 'MM/dd/yyyy' format from your CSV file and converts the text into a true Date data type. On the Microsoft Power BI Data Analyst PL-300 exam, this scenario tests your understanding of data preparation in Power Query, specifically how to handle locale-dependent date formats that load as text from flat files. A common trap is trying to fix this in the Report view or using DAX functions like DATEVALUE, but the correct approach is always to transform the data at the source in Power Query Editor. Memory tip: think "Text to Date in Query—let locale do the work, not DAX."
This PL-300 practice question tests your understanding of prepare the data. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
You are preparing data from a CSV file that contains date values in the format 'MM/dd/yyyy'. When you load the file into Power BI Desktop, the dates appear as text. What should you do to ensure the dates are recognized as date data type?
Use 'Replace Values' to replace '/' with '-'
Why wrong: Replacing characters does not change data type.
Change the column data type to Date in Power Query Editor
Changing data type to Date directly converts the text to date.
Split the column by delimiter '/'
Why wrong: Splitting creates multiple columns, not date recognition.
Promote the first row as headers
Why wrong: Promoting headers does not affect data types.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Change the column data type to Date in Power Query Editor
Option B is correct because changing the column data type to Date in Power Query Editor forces Power BI to interpret the text values as dates using the current locale settings. Since the CSV file contains dates in 'MM/dd/yyyy' format, Power Query can parse this pattern when the data type is explicitly set to Date, converting the text strings into the Date data type for proper time intelligence and filtering.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Use 'Replace Values' to replace '/' with '-'
Why it's wrong here
Replacing characters does not change data type.
Change the column data type to Date in Power Query Editor
Why this is correct
Changing data type to Date directly converts the text to date.
Related concept
Read the scenario before looking for a memorised answer.
Split the column by delimiter '/'
Why it's wrong here
Splitting creates multiple columns, not date recognition.
Promote the first row as headers
Why it's wrong here
Promoting headers does not affect data types.
Common exam traps
The trap here is that candidates often think replacing delimiters or splitting columns will magically change the data type, but Power BI requires an explicit data type change in Power Query Editor to convert text to dates.
Detailed technical explanation
Under the hood, Power Query uses the M language's `DateTime.LocalNow()` and locale-specific parsing when converting text to Date. The 'MM/dd/yyyy' format is recognized by Power BI's default en-US locale, but if the system locale differs (e.g., dd/MM/yyyy), the conversion may misinterpret day and month values. A real-world scenario is when a CSV exported from a US-based system is loaded on a European locale; changing the data type alone may produce errors, requiring the use of `Culture` parameter in `Date.FromText` or specifying the locale in Power Query Options.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
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FAQ
Prepare the data — This question tests Prepare the data — Read the scenario before looking for a memorised answer..
The correct answer is: Change the column data type to Date in Power Query Editor — Option B is correct because changing the column data type to Date in Power Query Editor forces Power BI to interpret the text values as dates using the current locale settings. Since the CSV file contains dates in 'MM/dd/yyyy' format, Power Query can parse this pattern when the data type is explicitly set to Date, converting the text strings into the Date data type for proper time intelligence and filtering.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
This PL-300 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the PL-300 exam.
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