- A
Switch the data source to DirectQuery mode.
Why wrong: DirectQuery may improve refresh time but can degrade query performance and limit time intelligence.
- B
Remove unnecessary columns and rows from the query.
Why wrong: While this reduces model size, it may not significantly reduce refresh time if the table is large.
- C
Configure incremental refresh policy on the fact table.
Incremental refresh loads only new and updated rows, reducing the amount of data loaded each refresh.
- D
Reduce the scheduled refresh frequency to once a day.
Why wrong: This does not reduce the refresh time; it just refreshes less often.
Quick Answer
The correct strategy is to configure an incremental refresh policy on the fact table. This works because incremental refresh partitions your data by a date/time column, so during each scheduled refresh, Power BI only queries and loads the most recent data—such as the last five days—while leaving older, static partitions untouched. This dramatically reduces the volume of data transferred from SQL Server and the processing time, all while keeping the semantic model up-to-date. On the PL-300 exam, this question tests your understanding of Import mode optimization versus DirectQuery or hybrid approaches; a common trap is choosing to reduce the data model by deleting historical data entirely, which breaks reporting continuity. Remember the memory tip: “Refresh the delta, not the whole table”—focus on partitioning by date to slash refresh time without sacrificing freshness.
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 have a Power BI semantic model that uses Import mode with a SQL Server data source. The refresh takes over two hours. You need to reduce the refresh time while keeping data up-to-date. What is the best strategy?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"best"Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
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 policy on the fact table.
Option C is correct because incremental refresh policy allows you to refresh only the most recent data (e.g., last 5 days) while keeping historical partitions unchanged, drastically reducing the amount of data loaded during each refresh. This is the most effective way to reduce refresh time in Import mode while maintaining data freshness, as it avoids re-querying the entire fact table from SQL Server.
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.
- ✗
Switch the data source to DirectQuery mode.
Why it's wrong here
DirectQuery may improve refresh time but can degrade query performance and limit time intelligence.
- ✗
Remove unnecessary columns and rows from the query.
Why it's wrong here
While this reduces model size, it may not significantly reduce refresh time if the table is large.
- ✓
Configure incremental refresh policy on the fact table.
Why this is correct
Incremental refresh loads only new and updated rows, reducing the amount of data loaded each refresh.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Reduce the scheduled refresh frequency to once a day.
Why it's wrong here
This does not reduce the refresh time; it just refreshes less often.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse reducing refresh frequency (Option D) with reducing refresh time, or they think DirectQuery (Option A) is a universal performance fix, when in fact it shifts the performance burden to query time and sacrifices Import mode capabilities.
Detailed technical explanation
How to think about this question
Incremental refresh works by partitioning the fact table into date-based ranges (e.g., daily or monthly) using Power Query's RangeStart and RangeEnd parameters, and only refreshing the 'incremental' partition(s) that fall within the refresh window. Under the hood, Power BI issues filtered SQL queries to the source, retrieving only new or changed rows, which can reduce refresh time from hours to minutes for large tables. A real-world scenario is a sales fact table with 5 years of data; incremental refresh can refresh only the last 7 days, leaving older partitions untouched.
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: Configure incremental refresh policy on the fact table. — Option C is correct because incremental refresh policy allows you to refresh only the most recent data (e.g., last 5 days) while keeping historical partitions unchanged, drastically reducing the amount of data loaded during each refresh. This is the most effective way to reduce refresh time in Import mode while maintaining data freshness, as it avoids re-querying the entire fact table from SQL Server.
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: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
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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