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 have a Power BI dataset that includes a date table created using CALENDAR(). You need to ensure that the date table always covers the full range of dates present in the fact table, even after new data is loaded. What should you do?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "always"
Why it matters: Absolute qualifier. An answer using 'always' is only correct if there are genuinely no exceptions — absolute statements are often wrong in networking.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Create the date table using CALENDAR(MIN('Fact'[Date]), MAX('Fact'[Date]))
Option C is correct because using `CALENDAR(MIN('Fact'[Date]), MAX('Fact'[Date]))` dynamically computes the date range from the fact table's actual data. This ensures that when new data is loaded with dates outside the previous range, the date table automatically expands to cover the full range, maintaining referential integrity for time intelligence calculations.
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 a fixed start and end date in the CALENDAR function
Why it's wrong here
Static range will not include future dates.
✗
Create a disconnected date table
Why it's wrong here
Disconnected tables do not filter the fact table.
✓
Create the date table using CALENDAR(MIN('Fact'[Date]), MAX('Fact'[Date]))
Why this is correct
This dynamic approach updates with the fact table's date range.
Clue confirmation
The clue word "always" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Enable Auto Date/Time in the model
Why it's wrong here
Auto Date/Time creates hidden tables but may not cover all dates if data changes.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often choose Option A (fixed dates) because they think a static range is simpler and sufficient, but they overlook the requirement for the date table to dynamically cover the full range after new data loads, which only a dynamic CALENDAR expression can achieve.
Detailed technical explanation
How to think about this question
Under the hood, `CALENDAR()` returns a single-column table of dates, and when combined with `MIN()` and `MAX()` over the fact table's date column, it creates a dynamic range that recalculates upon dataset refresh. A subtle behavior is that if the fact table is empty, `MIN()` and `MAX()` return BLANK, causing `CALENDAR()` to fail; a common workaround is to use `COALESCE` or `IF` to provide default dates. In real-world scenarios, this pattern is essential for incremental refresh policies where new data may extend the date range, ensuring that time intelligence functions like `TOTALYTD` or `SAMEPERIODLASTYEAR` continue to work correctly.
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
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
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.
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 the date table using CALENDAR(MIN('Fact'[Date]), MAX('Fact'[Date])) — Option C is correct because using `CALENDAR(MIN('Fact'[Date]), MAX('Fact'[Date]))` dynamically computes the date range from the fact table's actual data. This ensures that when new data is loaded with dates outside the previous range, the date table automatically expands to cover the full range, maintaining referential integrity for time intelligence calculations.
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.
Are there clue words in this question I should notice?
Yes — watch for: "always". Absolute qualifier. An answer using 'always' is only correct if there are genuinely no exceptions — absolute statements are often wrong in networking.
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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