The answer is using DAX’s CALENDARAUTO function and generating a list of dates in Power Query. Both methods produce a continuous, single-column table of dates that serves as the foundation for time intelligence calculations. CALENDARAUTO automatically scans your model’s date columns to determine the date range, while Power Query’s List.Dates function lets you explicitly define a start and end date. On the PL-300 exam, this question tests your ability to distinguish between table-constructing functions like CALENDARAUTO and aggregation or filter functions like CALCULATE, DATESYTD, or SUMMARIZE, which do not create a standalone date table. A common trap is confusing DATESYTD—which returns only year-to-date dates—with a full date table. Remember the memory tip: “Auto for automatic, List for manual—both build the date table, but CALCULATE never will.”
PL-300 Visualize and analyze the data Practice Question
This PL-300 practice question tests your understanding of visualize and analyze 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.
Which TWO of the following are valid ways to create a date table in Power BI? (Select two.)
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Using DAX: DateTable = CALENDARAUTO()
Option A is valid by using CALENDARAUTO. Option D is valid by using Power Query to generate a list of dates. Option B is wrong because CALCULATE is a function, not a table constructor. Option C is wrong because DATESYTD returns a table of dates but only for a year-to-date period, not a full date table. Option E is wrong because SUMMARIZE returns a summary table, not a date table.
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.
✗
Using DAX: DateTable = DATESYTD('Date'[Date])
Why it's wrong here
DATESYTD returns a table, but only year-to-date, not all dates.
✓
Using DAX: DateTable = CALENDARAUTO()
Why this is correct
CALENDARAUTO() returns a table with all dates from the model.
Related concept
Read the scenario before looking for a memorised answer.
✗
Using DAX: DateTable = CALCULATE(DISTINCT(Sales[Date]))
Why it's wrong here
CALCULATE returns a scalar, not a table.
✓
Using Power Query: Generate a list of dates from a start to end date
Why this is correct
Power Query can create a date table.
Related concept
Read the scenario before looking for a memorised answer.
✗
Using DAX: DateTable = SUMMARIZE(Sales, Sales[Date])
Why it's wrong here
Returns only dates present in Sales, may miss dates.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
Use explanations to understand the rule behind the answer.
TExam Day Tips
→Underline the problem statement mentally.
→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 PL-300 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Visualize and analyze the data — This question tests Visualize and analyze the data — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Using DAX: DateTable = CALENDARAUTO() — Option A is valid by using CALENDARAUTO. Option D is valid by using Power Query to generate a list of dates. Option B is wrong because CALCULATE is a function, not a table constructor. Option C is wrong because DATESYTD returns a table of dates but only for a year-to-date period, not a full date table. Option E is wrong because SUMMARIZE returns a summary table, not a date table.
What should I do if I get this PL-300 question wrong?
Identify which PL-300 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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