- A
Enable query folding in Power Query.
Why wrong: Query folding optimizes query performance but does not reduce the amount of data loaded incrementally.
- B
Use the 'Reduce data' option in Power Query Editor.
Why wrong: Reduce data is a preview feature that limits rows during development, not for scheduled refresh.
- C
Change the storage mode to DirectQuery.
Why wrong: DirectQuery does not import data, so refresh time is not applicable; it queries the source directly.
- D
Configure incremental refresh on the table using the 'LastModifiedDate' column.
Incremental refresh partitions the table and only refreshes partitions that have changed, based on a date/time column.
Quick Answer
The answer is to configure incremental refresh on the table using the 'LastModifiedDate' column. This is correct because incremental refresh in Power BI uses a date/time column like LastModifiedDate to filter the dataset, loading only rows that have changed since the last refresh rather than the entire table, which dramatically reduces refresh time and data volume while keeping Import mode benefits. On the PL-300 exam, this scenario tests your understanding of how to optimize refresh performance without switching to DirectQuery, and a common trap is confusing incremental refresh with query folding or forgetting that the policy must be set in Power Query Editor with a valid date range. Remember the key requirement: incremental refresh always needs a datetime column to define the filter window, so if you see a question about reducing refresh load with a LastModifiedDate field, think "incremental policy." Memory tip: "LastModifiedDate = Last Refresh Only" — the column name itself tells you to only pull what’s new.
PL-300 Prepare the data Practice Question
This PL-300 practice question tests your understanding of prepare the data. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 uses Import mode and refreshes daily. The source data includes a column 'LastModifiedDate'. You want to reduce the amount of data loaded during each refresh by only loading rows that have changed since the last refresh. Which feature should you configure?
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
Configure incremental refresh on the table using the 'LastModifiedDate' column.
Incremental refresh in Power BI allows you to filter data by a date/time column (such as 'LastModifiedDate') so that only rows that have changed since the last refresh are loaded. This reduces refresh time and data volume while still using Import mode. The feature requires a date/time column and a properly configured policy in the Power Query Editor.
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.
- ✗
Enable query folding in Power Query.
Why it's wrong here
Query folding optimizes query performance but does not reduce the amount of data loaded incrementally.
- ✗
Use the 'Reduce data' option in Power Query Editor.
Why it's wrong here
Reduce data is a preview feature that limits rows during development, not for scheduled refresh.
- ✗
Change the storage mode to DirectQuery.
Why it's wrong here
DirectQuery does not import data, so refresh time is not applicable; it queries the source directly.
- ✓
Configure incremental refresh on the table using the 'LastModifiedDate' column.
Why this is correct
Incremental refresh partitions the table and only refreshes partitions that have changed, based on a date/time column.
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 confuse incremental refresh with query folding or 'Reduce data' options, not realizing that incremental refresh is the only feature designed to load only changed rows in Import mode while keeping the dataset in Import mode.
Detailed technical explanation
How to think about this question
Incremental refresh works by creating two partitions: one for historical data (which is refreshed only when the policy requires it) and one for the incremental range (which is refreshed each time). The 'LastModifiedDate' column is used in a RangeStart/RangeEnd parameter filter that Power Query applies to the source query, enabling the source system to return only the changed rows. This approach requires the source to support query folding on the date filter for optimal performance.
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 media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
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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Prepare the data — study guide chapter
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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: Configure incremental refresh on the table using the 'LastModifiedDate' column. — Incremental refresh in Power BI allows you to filter data by a date/time column (such as 'LastModifiedDate') so that only rows that have changed since the last refresh are loaded. This reduces refresh time and data volume while still using Import mode. The feature requires a date/time column and a properly configured policy in the Power Query Editor.
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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