Question 765 of 966

Prepare the data →hardMultiple ChoiceObjective-mapped

Quick Answer

The answer is that the CSV file's 'Private' privacy level prevents it from being combined with the SQL Server's 'Organizational' level, causing the privacy violation error. Power BI enforces strict data isolation rules based on privacy levels: when you combine data sources, the engine uses the most restrictive level to protect data, and a 'Private' source cannot be merged with an 'Organizational' or 'Public' source because that would risk leaking sensitive data across boundaries. On the PL-300 exam, this scenario tests your understanding of how Power BI’s data privacy firewall works during query folding and refresh—a common trap is assuming the error is due to credentials or gateway issues rather than level mismatches. Remember the hierarchy: Private is the most restrictive, then Organizational, then Public; data can only flow from a higher restriction to a lower one if the lower source is set to the same or higher level. Memory tip: think of it like a security clearance—Private data won't share a room with Organizational data unless both are cleared to the same level.

PL-300 Prepare the data Practice Question

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.

Exhibit

{
  "dataSources": [
    {
      "name": "SalesDB",
      "connectionString": "Data Source=sqlserver01;Initial Catalog=SalesDB;Integrated Security=SSPI",
      "credentialType": "Windows",
      "privacyLevel": "Organizational"
    },
    {
      "name": "MarketingCSV",
      "connectionString": "C:\\Data\\Marketing.csv",
      "credentialType": "None",
      "privacyLevel": "Private"
    }
  ]
}

Refer to the exhibit. You are reviewing the privacy levels for a Power BI semantic model that combines data from an on-premises SQL Server (SalesDB) and a local CSV file (MarketingCSV). The SQL Server data source has privacy level 'Organizational' and the CSV file has 'Private'. When you refresh the model, you encounter an error: 'A privacy violation occurred. Please check your privacy settings.' 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.

Question 1hardmultiple choice

Full question →

Exhibit

{
  "dataSources": [
    {
      "name": "SalesDB",
      "connectionString": "Data Source=sqlserver01;Initial Catalog=SalesDB;Integrated Security=SSPI",
      "credentialType": "Windows",
      "privacyLevel": "Organizational"
    },
    {
      "name": "MarketingCSV",
      "connectionString": "C:\\Data\\Marketing.csv",
      "credentialType": "None",
      "privacyLevel": "Private"
    }
  ]
}

A
The on-premises data gateway is not configured for the CSV file.
Why wrong: Gateway is not required for local files.
B
The CSV file's privacy level is set to 'Private', which prevents it from being combined with 'Organizational' sources.
'Private' means data cannot be shared with other sources; changing it to 'Organizational' or 'Public' would resolve.
C
The SQL Server connection string uses Integrated Security, which is not supported when combining data.
Why wrong: Integrated Security is supported.
D
The SQL Server table is partitioned, causing a conflict with the CSV file.
Why wrong: Partitioning does not cause privacy violations.

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

✓

The CSV file's privacy level is set to 'Private', which prevents it from being combined with 'Organizational' sources.

Option B is correct because Power BI enforces privacy level restrictions when combining data from different sources. The CSV file's 'Private' privacy level prevents it from being combined with the SQL Server data source set to 'Organizational', as Power BI will not merge data across these boundaries to avoid leaking private data to organizational sources. This results in the 'privacy violation' error during refresh.

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 on-premises data gateway is not configured for the CSV file.
Why it's wrong here
Gateway is not required for local files.
✓
The CSV file's privacy level is set to 'Private', which prevents it from being combined with 'Organizational' sources.
Why this is correct
'Private' means data cannot be shared with other sources; changing it to 'Organizational' or 'Public' would resolve.
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 SQL Server connection string uses Integrated Security, which is not supported when combining data.
Why it's wrong here
Integrated Security is supported.
✗
The SQL Server table is partitioned, causing a conflict with the CSV file.
Why it's wrong here
Partitioning does not cause privacy violations.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Microsoft often tests the misconception that privacy level errors are caused by gateway configuration or authentication issues, when in fact they are strictly about data isolation rules between sources with incompatible privacy levels.

Detailed technical explanation

How to think about this question

Power BI's privacy level settings (Private, Organizational, Public) control how data from different sources can be combined based on data isolation rules. When a 'Private' source is combined with an 'Organizational' source, Power BI refuses to merge the data to prevent potential data leakage from the private source. This is enforced at query execution time by the Power Query engine, which evaluates data source privacy levels before combining data, and the error is raised even if the actual data does not contain sensitive information.

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: The CSV file's privacy level is set to 'Private', which prevents it from being combined with 'Organizational' sources. — Option B is correct because Power BI enforces privacy level restrictions when combining data from different sources. The CSV file's 'Private' privacy level prevents it from being combined with the SQL Server data source set to 'Organizational', as Power BI will not merge data across these boundaries to avoid leaking private data to organizational sources. This results in the 'privacy violation' error during refresh.

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 30, 2026

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