Question 659 of 966

Model the data →hardMultiple ChoiceObjective-mapped

Quick Answer

The correct answer is that all rows where OrderDate is between 2024-01-01 and 2024-04-01 will be refreshed in Partition1. This is because incremental refresh partitions in Power BI are defined by fixed RangeStart and RangeEnd parameters; when a partition falls entirely in the past, the refresh process performs a full refresh of all rows within that date range, not just the changed rows. On the PL-300 exam, this concept tests your understanding that incremental refresh does not track row-level changes—it refreshes the entire partition’s data set based on the date boundaries. A common trap is assuming only new or modified rows are refreshed, but the engine always reloads every row in a historical partition. Memory tip: think of it as a “full bucket” refresh—once a partition’s date window is closed, the entire bucket gets emptied and refilled.

PL-300 Model the data Practice Question

This PL-300 practice question tests your understanding of model 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.

Exhibit

Refer to the exhibit.
```
{
  "name": "SalesByRegion",
  "source": "SQL Server",
  "tables": [
    {
      "name": "Sales",
      "columns": [
        { "name": "OrderID", "dataType": "int" },
        { "name": "Region", "dataType": "string" },
        { "name": "Amount", "dataType": "decimal" }
      ],
      "partitions": [
        {
          "name": "Partition1",
          "mode": "incrementalRefresh",
          "sourceExpression": "SELECT * FROM Sales WHERE OrderDate >= #\"2024-01-01\"# AND OrderDate < #\"2024-04-01\"#"
        },
        {
          "name": "Partition2",
          "mode": "incrementalRefresh",
          "sourceExpression": "SELECT * FROM Sales WHERE OrderDate >= #\"2024-04-01\"# AND OrderDate < #\"2024-07-01\"#"
        }
      ]
    }
  ]
}
```

You are reviewing a Power BI model definition in TMSL. The model has incremental refresh configured with two partitions. When the model refreshes on July 1, 2024, which data will be refreshed in Partition1?

Question 1hardmultiple choice

Full question →

Exhibit

Refer to the exhibit.
```
{
  "name": "SalesByRegion",
  "source": "SQL Server",
  "tables": [
    {
      "name": "Sales",
      "columns": [
        { "name": "OrderID", "dataType": "int" },
        { "name": "Region", "dataType": "string" },
        { "name": "Amount", "dataType": "decimal" }
      ],
      "partitions": [
        {
          "name": "Partition1",
          "mode": "incrementalRefresh",
          "sourceExpression": "SELECT * FROM Sales WHERE OrderDate >= #\"2024-01-01\"# AND OrderDate < #\"2024-04-01\"#"
        },
        {
          "name": "Partition2",
          "mode": "incrementalRefresh",
          "sourceExpression": "SELECT * FROM Sales WHERE OrderDate >= #\"2024-04-01\"# AND OrderDate < #\"2024-07-01\"#"
        }
      ]
    }
  ]
}
```

A
Only new rows added since last refresh.
Why wrong: Same as A.
B
No data, because the partition is in the past.
Why wrong: Past partitions are refreshed.
C
Only data modified since the last refresh.
Why wrong: Incremental refresh refreshes all data in the partition window.
D
All rows where OrderDate is between 2024-01-01 and 2024-04-01.
That's the partition's range; on July 1 it's past data and will be fully refreshed.

Full breakdown with real-world context →

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

✓

All rows where OrderDate is between 2024-01-01 and 2024-04-01.

Option C is correct. Incremental refresh partitions use parameters like RangeStart and RangeEnd. In this example, the partitions are hardcoded dates. On July 1, 2024, Partition1 covers data from Jan 1 to Apr 1, which is in the past, so it will be fully refreshed. Option A is wrong because only past data is refreshed. Option B is wrong because incremental refresh refreshes all data in the partition, not just changes. Option D is wrong because the partition is not excluded.

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.

✗
Only new rows added since last refresh.
Why it's wrong here
Same as A.
✗
No data, because the partition is in the past.
Why it's wrong here
Past partitions are refreshed.
✗
Only data modified since the last refresh.
Why it's wrong here
Incremental refresh refreshes all data in the partition window.
✓
All rows where OrderDate is between 2024-01-01 and 2024-04-01.
Why this is correct
That's the partition's range; on July 1 it's past data and will be fully refreshed.
Related concept
Read the scenario before looking for a memorised answer.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.

Detailed technical explanation

How to think about this question

This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.

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.
Use explanations to understand the rule behind the answer.

TExam Day Tips

Underline the problem statement mentally.
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 PL-300 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.

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FAQ

Questions learners often ask

What does this PL-300 question test?

Model the data — This question tests Model the data — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: All rows where OrderDate is between 2024-01-01 and 2024-04-01. — Option C is correct. Incremental refresh partitions use parameters like RangeStart and RangeEnd. In this example, the partitions are hardcoded dates. On July 1, 2024, Partition1 covers data from Jan 1 to Apr 1, which is in the past, so it will be fully refreshed. Option A is wrong because only past data is refreshed. Option B is wrong because incremental refresh refreshes all data in the partition, not just changes. Option D is wrong because the partition is not excluded.

What should I do if I get this PL-300 question wrong?

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jun 21, 2026

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