- A
The pipeline didn't deploy the dataset because it was already in Test.
Why wrong: The pipeline deploys all content, including datasets.
- B
The data source credentials were not applied during deployment.
Why wrong: Credentials are separate; the data source itself is what's mismatched.
- C
The dataset parameters were not configured in the deployment pipeline rules.
Parameter rules are required to update data source connections across stages.
- D
The Test workspace has a separate dataset that was manually created.
Why wrong: The pipeline overwrites the dataset in the target workspace.
PL-300 Deploy and maintain assets Practice Question
This PL-300 practice question tests your understanding of deploy and maintain assets. 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.
You manage a Power BI deployment that uses deployment pipelines. After promoting content from Development to Test, you notice that the Test workspace dataset uses a different data source than expected. What is the most likely reason?
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 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
The dataset parameters were not configured in the deployment pipeline rules.
Option C is correct because deployment pipeline rules allow you to configure dataset parameters (such as data source paths) to differ between pipeline stages. If these rules are not set, the dataset retains the data source configuration from the source stage (Development), causing the Test workspace to use an unexpected data source. The pipeline deploys the dataset artifact, but without parameter overrides, the data source connection string remains unchanged.
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 pipeline didn't deploy the dataset because it was already in Test.
Why it's wrong here
The pipeline deploys all content, including datasets.
- ✗
The data source credentials were not applied during deployment.
Why it's wrong here
Credentials are separate; the data source itself is what's mismatched.
- ✓
The dataset parameters were not configured in the deployment pipeline rules.
Why this is correct
Parameter rules are required to update data source connections across stages.
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.
- ✗
The Test workspace has a separate dataset that was manually created.
Why it's wrong here
The pipeline overwrites the dataset in the target workspace.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse data source credentials with data source parameters, assuming that credential issues cause the wrong data source to appear, when in fact parameters control the actual connection string, while credentials only handle authentication after the connection is established.
Detailed technical explanation
How to think about this question
Deployment pipeline rules use Power BI's parameterization feature to override dataset parameters (e.g., server, database) at each stage. These rules are defined in the pipeline settings and are evaluated during deployment; if no rule exists for a parameter, the dataset retains the original value from the source stage. This is critical in multi-environment setups where Development uses a dev database and Test should use a test database, preventing accidental connection to production data.
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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Deploy and maintain assets — study guide chapter
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FAQ
Questions learners often ask
What does this PL-300 question test?
Deploy and maintain assets — This question tests Deploy and maintain assets — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: The dataset parameters were not configured in the deployment pipeline rules. — Option C is correct because deployment pipeline rules allow you to configure dataset parameters (such as data source paths) to differ between pipeline stages. If these rules are not set, the dataset retains the data source configuration from the source stage (Development), causing the Test workspace to use an unexpected data source. The pipeline deploys the dataset artifact, but without parameter overrides, the data source connection string remains unchanged.
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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Last reviewed: Jun 11, 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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