Quick Answer
The answer is to use the DAX expression `DateTable = CALENDARAUTO()`. This function is correct because it automatically scans every date column in your data model—including the `Date` column in your Sales table—and returns a single, contiguous range of dates from the earliest to the latest value found. This makes it the simplest and most reliable way to create a date dimension table that covers all transaction dates without needing to manually specify MIN or MAX dates. On the Microsoft Power BI Data Analyst PL-300 exam, this question tests your understanding of automatic date table creation versus manual approaches like `CALENDAR(MIN(...), MAX(...))`. A common trap is overcomplicating the solution by writing explicit date boundaries when `CALENDARAUTO()` handles the entire model in one call. Memory tip: Think of CALENDARAUTO as the "set it and forget it" function—it auto-discovers your data's full date range, so you don't have to.
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 designing a data model for a retail company. The source system has a Sales table with columns: Date, StoreID, ProductID, SalesAmount. You need to create a date dimension table that includes all dates from the Sales table. Which DAX expression should you use to create the date table?
DateTable = VALUES(Sales[Date])
Why wrong: Similar to DISTINCT, returns only existing dates.
DateTable = CALENDAR(MIN(Sales[Date]), MAX(Sales[Date]))
Why wrong: This works but is not using the most efficient function.
DateTable = CALENDARAUTO()
This automatically creates a date table covering all dates in the model.
DateTable = DISTINCT(Sales[Date])
Why wrong: This returns only dates that exist in Sales, missing dates between.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
DateTable = CALENDARAUTO()
Option C is correct because `CALENDARAUTO()` automatically generates a contiguous date table spanning all dates present in the model, including those from the Sales table. This function scans all date columns in the model and returns a single column of dates from the earliest to the latest, which is the simplest way to create a date dimension that covers the full range of transaction dates without needing explicit MIN/MAX references.
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.
DateTable = VALUES(Sales[Date])
Why it's wrong here
Similar to DISTINCT, returns only existing dates.
DateTable = CALENDAR(MIN(Sales[Date]), MAX(Sales[Date]))
Why it's wrong here
This works but is not using the most efficient function.
DateTable = CALENDARAUTO()
Why this is correct
This automatically creates a date table covering all dates in the model.
Related concept
Read the scenario before looking for a memorised answer.
DateTable = DISTINCT(Sales[Date])
Why it's wrong here
This returns only dates that exist in Sales, missing dates between.
Common exam traps
The trap here is that candidates often confuse `VALUES` or `DISTINCT` with creating a proper date dimension, not realizing that a date table must be a continuous range of dates, not just the distinct values from a fact table.
Trap categories for this question
Similar concept trap
Similar to DISTINCT, returns only existing dates.
Detailed technical explanation
`CALENDARAUTO()` internally scans all date columns in the model (including those in fact and dimension tables) and determines the earliest and latest date across the entire model, then generates a continuous date range. This function respects the model's date table marking and is especially useful when multiple fact tables have overlapping date ranges, as it ensures the date dimension covers all relevant periods without manual intervention. A subtle behavior is that `CALENDARAUTO()` can be influenced by the `DateTable` template in Power BI Desktop, which may add extra years (e.g., ±1 year) if the model contains date columns with partial years.
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: DateTable = CALENDARAUTO() — Option C is correct because `CALENDARAUTO()` automatically generates a contiguous date table spanning all dates present in the model, including those from the Sales table. This function scans all date columns in the model and returns a single column of dates from the earliest to the latest, which is the simplest way to create a date dimension that covers the full range of transaction dates without needing explicit MIN/MAX references.
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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