The answer is that the parameter value is not provided in the dataset settings. This is the most likely cause of a parameterized query deployment failure because Power BI requires explicit parameter values to be defined in the dataset’s Parameters section before a refresh can execute; without them, the query engine cannot resolve the placeholder, causing the refresh to fail. On the Microsoft Power BI Data Analyst PL-300 exam, this scenario tests your understanding of deployment pipelines and dataset configuration, often appearing as a trap where candidates overlook that parameters must be manually supplied when moving between stages like development and production. A common memory tip is to think of parameters as empty variables—they need a value assigned in the target environment, just like filling in a blank field before running a report.
PL-300 Prepare the data Practice Question
This PL-300 practice question tests your understanding of prepare the data. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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.
```json
[
{
"name": "Sales",
"mode": "Import",
"source": {
"type": "Sql",
"query": "SELECT * FROM Sales WHERE Year = @Year"
},
"parameters": [
{
"name": "Year",
"required": true,
"type": "Int64.Type"
}
]
}
]
```
You are defining a Power BI dataset using a JSON policy for deployment pipelines. The above snippet defines a table named 'Sales' with a parameterized query. When you deploy this dataset to production, the refresh fails. What is the most likely cause?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "most likely"
Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
The parameter value is not provided in the dataset settings.
Option D is correct because when a Power BI dataset uses a parameterized query, the parameter value must be explicitly provided in the dataset settings under the 'Parameters' section. If the parameter value is not supplied or is missing after deployment to production, the refresh will fail because the query cannot resolve the parameter. This is a common oversight when moving datasets between pipeline stages.
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.
✗
The SQL source does not support parameterized queries.
Why it's wrong here
SQL Server supports parameterized queries via native query.
✗
The parameter type should be 'Text' instead of 'Int64'.
Why it's wrong here
Year as integer is fine; the issue is not type-related.
✗
The mode 'Import' is not allowed with parameterized queries.
Why it's wrong here
Import mode can use parameterized queries; parameters are resolved at refresh time.
✓
The parameter value is not provided in the dataset settings.
Why this is correct
After deployment, you must set the parameter value in the Power BI service dataset settings, otherwise the refresh fails.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
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 assume parameterized queries require 'DirectQuery' mode or that SQL sources cannot handle parameters, but the real issue is the missing parameter value in the dataset settings after deployment.
Detailed technical explanation
How to think about this question
In Power BI, parameterized queries in M (Power Query) use the `Value.NativeQuery` or `Odbc.Query` functions with parameters defined in the dataset's metadata. When deploying via pipelines, the parameter values are stored in the dataset's `parameterValues` property in the JSON policy. If this property is missing or empty, the M engine cannot bind the parameter, causing a 'Parameter value not specified' error during refresh. This is distinct from dynamic M parameters, which are resolved at query time.
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.
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: The parameter value is not provided in the dataset settings. — Option D is correct because when a Power BI dataset uses a parameterized query, the parameter value must be explicitly provided in the dataset settings under the 'Parameters' section. If the parameter value is not supplied or is missing after deployment to production, the refresh will fail because the query cannot resolve the parameter. This is a common oversight when moving datasets between pipeline stages.
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: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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