Quick Answer
The correct answer is to refresh the dataset in Power BI Desktop. This is necessary because DirectQuery mode does not cache data, but it does cache the metadata schema—the list of fields and their types—from the underlying source. When a SQL view adds a new column, the cached metadata becomes stale; refreshing the dataset forces Power BI to re-query the source and discover the updated schema, making the new column available for use in visuals and measures. On the PL-300 exam, this concept tests your understanding of how DirectQuery handles schema changes versus data changes, often appearing as a trap where candidates mistakenly think they must republish or change the connection mode. A common memory tip: think of DirectQuery as a window—you can see the data live, but if the window frame (the schema) changes, you need to open it again by refreshing. Remember: schema refresh, not data refresh.
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 uses DirectQuery mode. The underlying SQL view now includes a new column. What must you do to make the new column available in Power BI?
Schedule a daily refresh in the service
Why wrong: Scheduled refresh is for Import, not DirectQuery.
Create a new measure to reference the column
Why wrong: Measure cannot access a column not in the model.
Publish the report again
Why wrong: Publishing does not refresh schema.
Refresh the dataset in Power BI Desktop
Refreshing updates the schema from the source.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Refresh the dataset in Power BI Desktop
When a SQL view used in DirectQuery mode is updated with a new column, you must refresh the dataset in Power BI Desktop to pull the updated schema into the model. DirectQuery does not cache data, but the metadata (field list) is cached; refreshing the dataset in Power BI Desktop re-queries the source to discover the new column. Only then can you use the column in visuals or measures.
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.
Schedule a daily refresh in the service
Why it's wrong here
Scheduled refresh is for Import, not DirectQuery.
Create a new measure to reference the column
Why it's wrong here
Measure cannot access a column not in the model.
Publish the report again
Why it's wrong here
Publishing does not refresh schema.
Refresh the dataset in Power BI Desktop
Why this is correct
Refreshing updates the schema from the source.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
The trap here is that candidates confuse DirectQuery with Import mode and assume that a scheduled refresh in the service will automatically bring in new columns, when in fact DirectQuery requires a manual metadata refresh in Power BI Desktop before republishing.
Detailed technical explanation
In DirectQuery mode, Power BI Desktop caches the metadata (table and column definitions) from the source during the initial connection or when you refresh the dataset. The underlying SQL view's schema change is not automatically detected; you must explicitly refresh the dataset in Power BI Desktop (Home > Refresh) to re-query the source's INFORMATION_SCHEMA or equivalent. This is distinct from Import mode, where a scheduled refresh in the service can pick up new columns if the source is updated, but DirectQuery requires the metadata refresh to happen in the authoring tool first.
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: Refresh the dataset in Power BI Desktop — When a SQL view used in DirectQuery mode is updated with a new column, you must refresh the dataset in Power BI Desktop to pull the updated schema into the model. DirectQuery does not cache data, but the metadata (field list) is cached; refreshing the dataset in Power BI Desktop re-queries the source to discover the new column. Only then can you use the column in visuals or measures.
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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