Quick Answer
The answer is to use the Parse -> Date transformation in Power Query. This is the correct choice because the Parse feature is specifically designed to interpret custom text patterns like YYYYMMDD into a proper date data type without relying on locale-specific settings, making it the most direct and reliable method for converting yyyymmdd text to date in Power Query. On the Microsoft Power BI Data Analyst PL-300 exam, this question tests your understanding of Power Query’s data type conversion tools, often appearing in scenarios where you must clean imported CSV data. A common trap is attempting to use the Change Type dropdown, which may misinterpret the format or require additional steps like splitting the text. To remember this, think of the mnemonic “Parse First, Date Last” — always use Parse to interpret the pattern before assigning the date type.
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 building a Power BI data model from a CSV file that contains sales transactions. The CSV file has a column named 'TransactionDate' that stores dates as text in the format 'YYYYMMDD'. You need to create a date table that includes all dates from the transaction data. Which Power Query step should you use to convert the TransactionDate column to a date data type?
Parse -> Date
Correctly parses the custom date format.
Change Type -> Using Locale -> Date
Why wrong: Using Locale may not handle the custom format correctly.
Split Column -> By Number of Characters
Why wrong: Splitting is not appropriate for date conversion.
Detect Data Type
Why wrong: May not correctly identify the date format.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Parse -> Date
Option A is correct because the 'Parse' feature in Power Query, specifically the 'Parse -> Date' transformation, is designed to convert text columns with custom date formats like 'YYYYMMDD' into a proper date data type. This method intelligently interprets the text pattern without requiring locale-specific settings, making it the most direct and reliable approach for this format.
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.
Parse -> Date
Why this is correct
Correctly parses the custom date format.
Related concept
Read the scenario before looking for a memorised answer.
Change Type -> Using Locale -> Date
Why it's wrong here
Using Locale may not handle the custom format correctly.
Split Column -> By Number of Characters
Why it's wrong here
Splitting is not appropriate for date conversion.
Detect Data Type
Why it's wrong here
May not correctly identify the date format.
Common exam traps
The trap here is that candidates often choose 'Change Type -> Using Locale' thinking it handles all text-to-date conversions, but it fails for non-locale-specific formats like 'YYYYMMDD' because it expects a separator or locale-dependent order.
Detailed technical explanation
Under the hood, Power Query's 'Parse -> Date' uses the `Date.FromText` function with the `Culture` parameter set to invariant, allowing it to recognize the 'yyyyMMdd' pattern without ambiguity. This is particularly useful when dealing with data from systems like SAP or mainframes that export dates in this format. In real-world scenarios, failing to parse such dates correctly can lead to errors in time intelligence calculations, as Power BI requires a proper date data type for relationships and DAX functions like `CALENDARAUTO`.
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: Parse -> Date — Option A is correct because the 'Parse' feature in Power Query, specifically the 'Parse -> Date' transformation, is designed to convert text columns with custom date formats like 'YYYYMMDD' into a proper date data type. This method intelligently interprets the text pattern without requiring locale-specific settings, making it the most direct and reliable approach for this format.
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 11, 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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