- A
Use the 'Add Calendar' function in Power Query and rely on auto-date/time.
Why wrong: Auto-date/time is disabled by default in recent versions, and time intelligence functions may not work reliably without a marked date table.
- B
Use DirectQuery mode and rely on the SQL Server date functions.
Why wrong: DirectQuery mode can still use DAX time intelligence but requires a date table; this is not the simplest recommended approach.
- C
Use the built-in date hierarchy from the fact table's date column.
Why wrong: The built-in hierarchy is not recognized by time intelligence functions; a separate date table is needed.
- D
Create a separate date table and mark it as a date table in the model.
Time intelligence functions require a continuous date table marked as a date table to work correctly.
Quick Answer
The recommended approach is to create a separate date table and mark it as a date table in the model. This is required because Power BI time intelligence functions like TOTALYTD and SAMEPERIODLASTYEAR rely on a contiguous, continuous date range to calculate accurate period-over-period comparisons; a fact table’s date column often has gaps or missing dates, which breaks the internal calendar logic that DAX uses for these calculations. On the Microsoft Power BI Data Analyst PL-300 exam, this concept frequently appears in scenario-based questions where a large fact table from Azure SQL Database includes a date column, testing your understanding that a separate date table is mandatory for reliable time intelligence—even if the fact table already has dates. A common trap is assuming the fact table’s date column alone suffices, but without a marked date table, functions like SAMEPERIODLASTYEAR may return blanks. Remember the mnemonic: “Separate to aggregate—mark it to spark it.”
PL-300 Prepare the data Practice Question
This PL-300 practice question tests your understanding of prepare the data. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 designing a Power BI semantic model that uses a large fact table from Azure SQL Database. The table includes a date column. You need to ensure that the model supports time intelligence functions like TOTALYTD and SAMEPERIODLASTYEAR. What is the recommended approach?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Create a separate date table and mark it as a date table in the model.
Option D is correct because time intelligence functions like TOTALYTD and SAMEPERIODLASTYEAR require a separate date table with a contiguous date range marked as the date table in the model. This ensures that DAX can correctly calculate time-based aggregations across all dates, even if the fact table has gaps or missing dates. Without a marked date table, these functions may return incorrect or blank results.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use the 'Add Calendar' function in Power Query and rely on auto-date/time.
Why it's wrong here
Auto-date/time is disabled by default in recent versions, and time intelligence functions may not work reliably without a marked date table.
- ✗
Use DirectQuery mode and rely on the SQL Server date functions.
Why it's wrong here
DirectQuery mode can still use DAX time intelligence but requires a date table; this is not the simplest recommended approach.
- ✗
Use the built-in date hierarchy from the fact table's date column.
Why it's wrong here
The built-in hierarchy is not recognized by time intelligence functions; a separate date table is needed.
- ✓
Create a separate date table and mark it as a date table in the model.
Why this is correct
Time intelligence functions require a continuous date table marked as a date table to work correctly.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often think auto-date/time or the built-in date hierarchy is sufficient, but Microsoft explicitly recommends creating and marking a separate date table for reliable time intelligence, especially when using large fact tables with non-contiguous dates.
Detailed technical explanation
How to think about this question
When you mark a date table, DAX uses it as the basis for all time intelligence calculations, ensuring that functions like TOTALYTD evaluate over a complete set of dates. The date table must have a unique date column with no gaps and a continuous range covering all dates in the fact table. Under the hood, DAX generates a calendar table internally if auto-date/time is enabled, but this hidden table cannot be customized and may not align with fiscal years or custom calendars, making a separate marked date table the recommended approach for production models.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
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
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Questions learners often ask
What does this PL-300 question test?
Prepare the data — This question tests Prepare the data — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Create a separate date table and mark it as a date table in the model. — Option D is correct because time intelligence functions like TOTALYTD and SAMEPERIODLASTYEAR require a separate date table with a contiguous date range marked as the date table in the model. This ensures that DAX can correctly calculate time-based aggregations across all dates, even if the fact table has gaps or missing dates. Without a marked date table, these functions may return incorrect or blank results.
What should I do if I get this PL-300 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
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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