Question 711 of 966
Prepare the datamediumMultiple ChoiceObjective-mapped

Quick Answer

The correct answer is to configure incremental refresh on the table using the LastModifiedDate column. This approach minimizes data refresh time for a large fact table by ensuring that only new or changed rows are loaded from Azure SQL Database, rather than performing a full reload of all 50 million rows. Incremental refresh works by applying a Power Query filter on the LastModifiedDate column, which pushes the query logic back to the source via query folding, so only the modified data is transferred. On the PL-300 exam, this scenario tests your understanding of performance optimization for large datasets and the critical role of query folding in enabling efficient incremental loads. A common trap is to assume that partitioning the table manually in the source is required, but Power BI’s built-in incremental refresh handles this automatically when a datetime column exists. Memory tip: think “LastModifiedDate = Last Load Date” — the filter always asks for rows newer than your last refresh timestamp.

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 are building a Power BI report for a manufacturing company. You have a large fact table with 50 million rows in Azure SQL Database. You need to minimize the data refresh time and ensure that only new or changed rows are loaded. The source table has a LastModifiedDate column. 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: "minimum / minimize"

    Why it matters: Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.

Question 1mediummultiple choice
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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.

Option B is correct because incremental refresh in Power BI allows you to load only new or changed rows from a large fact table by filtering on a date/time column such as LastModifiedDate. This minimizes data refresh time by avoiding a full reload of all 50 million rows, and it leverages the source system's ability to efficiently query only the modified data. Power Query pushes the filter logic to Azure SQL Database via query folding, ensuring optimal performance.

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 to push filters to the source.

    Why it's wrong here

    Query folding helps but still requires filtering to reduce data.

  • Configure incremental refresh on the table using the LastModifiedDate column.

    Why this is correct

    Correct. Incremental refresh loads only new/changed data.

    Clue confirmation

    The clue word "minimum / minimize" in the question point toward this answer.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Schedule a full refresh every hour.

    Why it's wrong here

    Full refresh loads all 50 million rows, which is slow.

  • Create a Power BI dataflow that performs a full load and then use that dataflow as a source.

    Why it's wrong here

    This adds complexity and still does full load initially.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often confuse query folding with incremental refresh, thinking that enabling query folding alone will automatically load only new rows, but query folding only optimizes the pushdown of existing filters—it does not create the filtering logic needed for incremental loading.

Detailed technical explanation

How to think about this question

Incremental refresh works by partitioning the fact table into date ranges (e.g., daily or monthly) and only refreshing partitions that contain new or changed data based on the LastModifiedDate column. Under the hood, Power BI generates dynamic SQL queries with WHERE clauses on the LastModifiedDate column, which are folded to the Azure SQL Database, leveraging its indexing and query optimizer. A real-world scenario is a manufacturing IoT system where sensor data grows rapidly; incremental refresh ensures that only the latest sensor readings are loaded, keeping the report up-to-date without overwhelming the database or the Power BI service.

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 on the table using the LastModifiedDate column. — Option B is correct because incremental refresh in Power BI allows you to load only new or changed rows from a large fact table by filtering on a date/time column such as LastModifiedDate. This minimizes data refresh time by avoiding a full reload of all 50 million rows, and it leverages the source system's ability to efficiently query only the modified data. Power Query pushes the filter logic to Azure SQL Database via query folding, ensuring optimal performance.

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: "minimum / minimize". Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.

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

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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.