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Microsoft Power BI Data Analyst (PL-300) practice questions

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Questions
116
Exam length
120 min
Passing score
700
Updated
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Sample questions 12 of 116 shown

  1. Q1 Prepare the Data (25–30%)
    You import a large dataset to Power Query Editor. You need to identify whether a column contains only unique values. Which two Data Preview options can you use?
    1. Show whitespace
    2. Column distribution
    3. Column profile
    4. Column quality
    5. Monospaced
    Column distribution shows value counts and distinct counts for each column. Column quality shows the percentage of valid, empty, and error values. Together they help identify uniqueness.
  2. Q2 Prepare the Data (25–30%)
    You have a Power BI Desktop report named Report1 that uses an Azure SQL database as a data source. User1 plans to create a report using the same data source. You need to simplify the connection for User1. Which file type should you create?
    1. PBIDS
    2. PBIT
    3. XLSX
    4. PBIX
    A PBIDS file (Power BI Desktop data source file) contains only connection information. Users can open it to connect to the data source without knowing the connection details.
  3. Q3 Prepare the Data (25–30%)
    You import a sales table and notice product names have inconsistent casing and trailing spaces. What should you do first?
    1. Create a calculated column to trim the text
    2. Clean the column in Power Query
    3. Change the data type to text
    4. Use a DAX measure to standardize
    Cleaning and standardizing text in Power Query during the data preparation phase avoids duplicate categories and creates a cleaner semantic model.
  4. Q4 Prepare the Data (25–30%)
    The finance team wants to load the latest CSV file from a folder each week without changing the report. What is the best approach?
    1. Manually replace the file each week
    2. Connect to the folder in Power Query
    3. Use a parameter to point to the file
    4. Import all files and filter
    Folder-based data import in Power Query is more scalable than manually replacing individual files. It automatically processes all files in the folder.
  5. Q5 Prepare the Data (25–30%)
    A column contains text-typed order dates in mixed regional formats. What is the safest fix?
    1. Use locale-aware type conversion in Power Query
    2. Change the data type to date
    3. Use a DAX function to parse dates
    4. Split the column into parts
    Mixed regional date formats can break default date conversion. Locale-aware type conversion in Power Query handles different regional formats correctly.
  6. Q6 Prepare the Data (25–30%)
    You need to remove rows where ALL fields are empty. Where should you perform this?
    1. In Power Query before loading
    2. In the data model using DAX
    3. In a calculated column
    4. In the visual filter pane
    Removing blank rows in Power Query during data preparation reduces model size and improves refresh efficiency.
  7. Q7 Prepare the Data (25–30%)
    Source tables have Customer IDs with leading zeros that must be preserved. What is the safest data type?
    1. Text
    2. Whole number
    3. Decimal
    4. Date
    Converting to a numeric type removes leading zeros. The safest type for identifier columns with leading zeros is Text.
  8. Q8 Prepare the Data (25–30%)
    A sales column contains currency symbols and commas. What should be done before modeling?
    1. Clean and convert to numeric type in Power Query
    2. Keep the column as text
    3. Use a DAX measure to extract the values
    4. Split the column into multiple parts
    Measures can only work correctly with amounts stored as numbers. Cleaning and converting to a numeric type in Power Query is essential before modeling.
  9. Q9 Prepare the Data (25–30%)
    You connect to a database table with 50 columns but only need 12. What is the best practice?
    1. Import all columns and hide the unnecessary ones
    2. Remove unnecessary columns during data preparation
    3. Create a view in the database
    4. Use a calculated table to select columns
    Narrower tables improve both refresh speed and model efficiency. Removing unnecessary columns in Power Query is the best practice.
  10. Q10 Prepare the Data (25–30%)
    You need to combine "Orders" and "Returns" tables from different files with the same structure. Which transformation applies?
    1. Merge queries
    2. Append queries
    3. Group rows
    4. Pivot columns
    Append queries stacks rows from two or more tables with similar columns. Merge queries join related tables side by side.
  11. Q11 Prepare the Data (25–30%)
    You need to enrich a "Sales" table with "Region" names from a lookup table. Which transformation applies?
    1. Append queries
    2. Merge queries
    3. Group by
    4. Unpivot columns
    Merge queries bring in related columns from another table, similar to JOIN in SQL.
  12. Q12 Prepare the Data (25–30%)
    Your query has many unnecessary applied steps affecting refresh performance. What should you review?
    1. Query folding and step optimization
    2. The data source credentials
    3. The model relationships
    4. The visual performance analyzer
    Efficient Power Query transformations push work back to the data source (query folding) and avoid unnecessary steps, speeding up refreshes.

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Reader reviews 106 ratings

4.3 ★★★★★★ Based on 106 ratings

  • My colleague recommended this for PL-300 and I’m glad I listened. Passed on my first go after two weeks of solid study.

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Frequently asked questions

What are the most common technical pitfalls that cause candidates to fail the PL-300 exam?

The most common pitfalls involve DAX filter context evaluation—specifically understanding exactly how the CALCULATE function overwrites or merges with active page filters—and optimizing relationship configurations. Candidates frequently confuse the correct application of bi-directional cross-filtering versus single cross-filtering, leading to performance degradation or incorrect data aggregations on multi-part exam scenarios. Our practice questions include scenario-based items on both topics, with detailed explanations that walk through the DAX filter context evaluation step by step.

Given that Microsoft Learn is accessible during the exam, how should I adjust my study path for PL-300?

Treat the exam as if it were closed-book. The 120-minute limit does not allow sufficient time to search for fundamental concepts. Use your study path to master Power Query transformations and DAX syntax, utilizing the built-in Microsoft Learn interface strictly to verify specific function parameters or obscure feature properties under pressure. Practice navigating documentation quickly using the official Microsoft Exam Sandbox before your test day. Our practice questions are designed to be answered without external reference, building the recall speed you need on exam day.

What official Microsoft materials should I use to verify my readiness before scheduling the PL-300 test?

Do not rely on unverified third-party sources. Utilize the official, free Microsoft Learn Practice Assessments directly on the PL-300 exam page to receive an analytical score report with structural rationales for every question. Additionally, review the Exam Readiness Zone on Microsoft Learn for video deep-dives into high-weight exam topics. Combining these official resources with our supplementary practice question bank gives you both the authoritative content and the repetition needed to build exam-day confidence.

How long is the Microsoft Certified: Power BI Data Analyst Associate credential valid, and what is the renewal process?

The certification is valid for one year from the date you pass the exam. You can renew it for free during a 6-month eligibility window prior to expiration by completing a self-paced, unproctored online renewal assessment on Microsoft Learn. If you miss this window, the certification expires completely, and you must retake the live proctored PL-300 exam. No additional exam fee is required for renewal if completed within the eligibility window.

What is Microsoft's standard retake policy for PL-300, and how can I avoid using multiple attempts?

If you do not pass on your first attempt, you must wait at least 24 hours before rescheduling a second try. For attempts 3 through 5, a 14-day waiting period is strictly enforced between each registration, and you are capped at five total attempts per rolling 12-month period. Our practice tests help you identify domain-specific knowledge gaps before using an attempt, particularly in the heavily weighted "Model the data" and "Visualize and analyze the data" domains where DAX calculation and relationship configuration scenarios require both speed and accuracy.

How does the online PL-300 mock exam simulate the real testing experience, including case studies and DAX calculation scenarios?

The online mock exam replicates the PL-300 exam format with unreviewable case study sections, drag-and-drop sequencing, build-list ordering questions, and multiple-response questions that award partial credit for individually correct selections. The practice engine also simulates the split-screen Microsoft Learn workflow and includes performance-based scenarios that test whether you can quickly locate the correct DAX function syntax or Power Query transformation step without losing time—the same skill the real exam measures.

Is the PL-300 practice question bank available as a PDF download for offline review of DAX calculations and Row-Level Security scenarios?

Yes, the full question bank is available as a downloadable PDF that packages all practice questions, answer explanations, and domain references in a portable format. The PDF gives special attention to DAX CALCULATE function filter context evaluation, calculation group implementation, Row-Level Security (RLS) role configuration, and Performance Analyzer optimization workflows—topics that together account for up to 50% of the exam's weighted content. It is ideal for offline review during commutes, flights, or in environments without stable internet access.

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