PL-300 · topic practice

Visualize and analyze the data practice questions

Practise Microsoft Power BI Data Analyst PL-300 Visualize and analyze the data practice questions — original exam-style scenarios with answer choices, explanations, and analysis of common mistakes.

Courseiva uses original exam-style practice questions designed for learning and revision. The goal is to understand the concepts, recognise exam patterns, and improve through explanations — not memorise copied exam dumps.

Reviewed byJohnson Ajibi· MSc IT Security
20 questionsDomain: Visualize and analyze the data

What the exam tests

What to know about Visualize and analyze the data

Visualize and analyze the data questions test whether you can apply the concept in context, not just recognise a definition.

How the topic appears in realistic exam-style scenarios.

Which detail in the question changes the correct answer.

How to eliminate plausible but wrong options.

How to connect the question back to the wider exam objective.

Watch out for

Common Visualize and analyze the data exam traps

  • Answering from memory before reading the full scenario.
  • Missing a constraint such as cost, availability, security, scope or command context.
  • Choosing a broad answer when the question asks for the most specific fix.
  • Ignoring why the wrong options are tempting.

Practice set

Visualize and analyze the data questions

20 questions · select your answer, then reveal the explanation

A Power BI report uses a measure that calculates Year-over-Year sales growth. Users report that the measure shows incorrect values for January 2024 when compared to January 2023. The data model contains a Date table with a continuous date range from January 1, 2020 to December 31, 2024. Which DAX function is most likely causing the issue?

A company wants to create a Power BI report that shows sales performance by region. The data contains a table 'Sales' with columns: Date, Amount, RegionID, and ProductID. They also have a 'Regions' table with RegionID and RegionName. They want to display a matrix visual with RegionName on rows and Year on columns, with the sum of Amount as values. However, the report displays only 'RegionID' instead of 'RegionName'. What is the most likely cause?

A Power BI report includes a bar chart showing total sales by product category. The report designer wants to add a trend line to the chart to show the overall sales trend over time. Which type of visual should be used instead?

A Power BI report contains a table visual that displays employee names and their total sales. The data model includes an Employee table with columns: EmployeeID, Name, Department, and HireDate. The Sales table has columns: SaleID, EmployeeID, Amount, and SaleDate. The relationship between Employee and Sales is one-to-many. The user wants to see only employees who have made at least one sale. However, the table shows all employees, including those with no sales (blank Amount). What is the most likely reason?

A data analyst creates a Power BI report that uses a date table with a continuous date range. They want to calculate the running total of sales over the last 12 months, ending on the last date in the current filter context. Which DAX expression should they use?

A Power BI report includes a slicer for 'Year' and a line chart showing monthly sales. The report designer wants to ensure that when a user selects a year in the slicer, the line chart shows only the months of that year, with month names on the x-axis sorted chronologically. Which TWO actions must be taken?

A company has a Power BI dataset that includes a table 'Orders' with columns: OrderID, CustomerID, OrderDate, ShipDate, and Amount. They want to create a measure that calculates the number of orders shipped within 3 days of the order date. Which THREE of the following steps are necessary to create this measure?

A company has a Power BI report that uses a DirectQuery dataset from an Azure SQL Database. Users report that the report is slow when filtering by date. Which action should you take to improve performance?

A Power BI report uses a composite model with a DirectQuery source and an imported table. The imported table has many rows, and the report is taking a long time to refresh. What is the most likely cause?

You need to create a measure that calculates the year-over-year growth percentage for sales. Which DAX function should you use?

A company uses Row-Level Security (RLS) in Power BI. They want to ensure that when a manager views the report, they see data for their own region plus any region where a salesperson reports to them. Which RLS approach should you implement?

A Power BI report contains a page with many visuals that use a large DirectQuery dataset. The report is slow to load. Which design change would most improve the initial page load time?

Which TWO are valid ways to create a calculated table in Power BI?

Question 14mediummulti select
Read the full NAT/PAT explanation →

Which THREE are required components of a Power BI Paginated Report?

A Power BI developer writes the Power Query M code shown in the exhibit. The code runs successfully but returns an error when the user selects a year from a slicer in the report. The error states: 'Expression.Error: The key did not match any rows in the table.' Which is the most likely cause?

Exhibit

Refer to the exhibit.

```
let
    Source = Sql.Database("server", "database"),
    SalesTable = Source{[Schema="dbo",Item="Sales"]}[Data],
    FilteredRows = Table.SelectRows(SalesTable, each [Year] = 2021),
    GroupedRows = Table.Group(FilteredRows, {"ProductID"}, {{"TotalSales", each List.Sum([Amount]), type number}})
in
    GroupedRows
```

A Power BI admin applies the Azure Policy shown in the exhibit. What is the effect of this policy?

Exhibit

Refer to the exhibit.

```json
{
  "Version": "1.0",
  "Statement": [
    {
      "Effect": "Deny",
      "Action": [
        "Microsoft.PowerBi/datasets/read"
      ],
      "Resource": "*",
      "Condition": {
        "StringNotEquals": {
          "Microsoft.PowerBi/workspace": "finance-workspace-id"
        }
      }
    }
  ]
}
```

A sales manager wants to create a report that shows year-over-year growth for each product category. They have a date table and a sales table with daily sales. Which DAX measure should they use to calculate the previous year's sales?

A Power BI report shows a bar chart with sales by region. When users click on a region, they expect a line chart on the same page to filter to that region's sales over time. However, the line chart does not respond to the click. What is the most likely cause?

A company has a dataset with a table 'Orders' containing columns: OrderDate, CustomerID, Amount. They want to create a visual that shows the total amount per month. Which of the following is the best approach?

Which TWO of the following are valid ways to create a measure in Power BI?

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Frequently asked questions

What does the PL-300 exam test about Visualize and analyze the data?
Visualize and analyze the data questions test whether you can apply the concept in context, not just recognise a definition.
How should I use these practice questions?
Select your answer before revealing the explanation. Then read why each option is right or wrong — this active recall approach builds retention far faster than re-reading notes.
Can I practise just Visualize and analyze the data questions in a focused session?
Yes — the session launcher on this page draws every question from the Visualize and analyze the data domain. Use a 10-question session first to gauge your baseline, then move to 20 or 30 once the weak spots are clear.
Where can I practise other PL-300 topics?
Use the topic links above to move to related areas, or go back to the PL-300 question bank to see all topics.
Are these real exam questions or dumps?
These are original practice questions written to test the same concepts the PL-300 exam covers. They are not copied from any real exam or dump site.