{"id":14860,"date":"2026-09-17T07:46:10","date_gmt":"2026-09-17T07:46:10","guid":{"rendered":"https:\/\/www.examlabs.com\/certification\/?p=14860"},"modified":"2026-09-17T07:46:10","modified_gmt":"2026-09-17T07:46:10","slug":"microsoft-pl-300-practice-test-questions-and-exam-dumps-part11-q201-220","status":"publish","type":"post","link":"https:\/\/www.examlabs.com\/certification\/microsoft-pl-300-practice-test-questions-and-exam-dumps-part11-q201-220\/","title":{"rendered":"Microsoft PL-300 Practice Test Questions and Exam Dumps Part11 Q201-220"},"content":{"rendered":"

<\/h1>\n

View Full <\/b>Microsoft PL-300 Exam Dumps<\/b><\/a> and Practice Test Dumps.<\/b><\/h2>\n

 <\/p>\n

Question 201<\/b><\/h3>\n

Which Power BI feature allows a report author to control which visuals respond to selections made in another visual?<\/b><\/p>\n

    \n
  1. Edit Interactions<\/span><\/li>\n
  2. Drillthrough<\/span><\/li>\n
  3. Bookmarks<\/span><\/li>\n
  4. Data alerts<\/span><\/li>\n<\/ol>\n

    Correct Answer: 1<\/b><\/p>\n

    Explanation<\/b><\/p>\n

    Edit Interactions allows report authors to control how one visual affects other visuals on the same report page. Depending on the desired behavior, a visual can filter another visual, highlight its data, or have no effect on it. This is useful when a report requires precise control over interactive behavior. Drillthrough navigates to detail pages, bookmarks save report states, and data alerts notify users about dashboard values. Therefore, Edit Interactions is the appropriate feature for controlling how visual selections affect other visuals.<\/span><\/p>\n

    Question 202<\/b><\/h3>\n

    Which DAX function can return a table containing the dates between a specified start date and end date?<\/b><\/p>\n

      \n
    1. DATE<\/span><\/li>\n
    2. DATESBETWEEN<\/span><\/li>\n
    3. DATEDIFF<\/span><\/li>\n
    4. EDATE<\/span><\/li>\n<\/ol>\n

      Correct Answer: 2<\/b><\/p>\n

      Explanation<\/b><\/p>\n

      DATESBETWEEN returns a table containing dates between a specified start date and end date. It is commonly used in time-intelligence calculations where a measure needs to evaluate data over a custom date range. For example, it can be used to calculate sales between two selected dates. DATE creates a single date, DATEDIFF calculates the difference between dates, and EDATE shifts a date by a specified number of months. Therefore, DATESBETWEEN is the appropriate DAX function when a date table expression covering a defined range is required.<\/span><\/p>\n

      Question 203<\/b><\/h3>\n

      Which Power Query transformation can remove duplicate records based on one or more selected columns?<\/b><\/p>\n

        \n
      1. Remove Duplicates<\/span><\/li>\n
      2. Remove Errors<\/span><\/li>\n
      3. Replace Values<\/span><\/li>\n
      4. Group By<\/span><\/li>\n<\/ol>\n

        Correct Answer: 1<\/b><\/p>\n

        Explanation<\/b><\/p>\n

        Remove Duplicates eliminates repeated records based on the columns selected by the user. For example, if a customer dataset contains multiple identical CustomerID records and only unique records are required, Remove Duplicates can be applied to the relevant column. This transformation helps improve data quality before the information is loaded into the Power BI model. Remove Errors targets invalid records, Replace Values changes specific values, and Group By creates summaries. Therefore, Remove Duplicates is the appropriate transformation for eliminating repeated records.<\/span><\/p>\n

        Question 204<\/b><\/h3>\n

        Which Power BI visual is most suitable for displaying a detailed dataset with values arranged in rows and columns?<\/b><\/p>\n

          \n
        1. Matrix<\/span><\/li>\n
        2. Card<\/span><\/li>\n
        3. Gauge<\/span><\/li>\n
        4. Funnel chart<\/span><\/li>\n<\/ol>\n

          Correct Answer: 1<\/b><\/p>\n

          Explanation<\/b><\/p>\n

          A Matrix visual displays data in rows and columns and supports hierarchical structures, subtotals, and drill-down capabilities. It is useful when users need to inspect detailed information while also organizing data by multiple dimensions. For example, sales can be displayed by region, product category, and individual products. A Card displays a single value, a Gauge compares a value with a target, and a Funnel chart represents sequential stages. Therefore, Matrix is the appropriate visual when detailed tabular information and hierarchical grouping are required.<\/span><\/p>\n

          Question 205<\/b><\/h3>\n

          Which DAX function can return the first nonblank value from an expression based on a specified column?<\/b><\/p>\n

            \n
          1. FIRSTNONBLANK<\/span><\/li>\n
          2. FIRSTDATE<\/span><\/li>\n
          3. COALESCE<\/span><\/li>\n
          4. MIN<\/span><\/li>\n<\/ol>\n

            Correct Answer: 1<\/b><\/p>\n

            Explanation<\/b><\/p>\n

            FIRSTNONBLANK returns the first value in a column for which the specified expression is not blank. It can be useful in calculations where the first meaningful result needs to be identified within a particular context. FIRSTDATE specifically returns the first date in a date context, while COALESCE returns the first nonblank result among multiple expressions. MIN returns the smallest value. Therefore, FIRSTNONBLANK is the appropriate function when the requirement is to find the first column value associated with a nonblank expression.<\/span><\/p>\n

            Question 206<\/b><\/h3>\n

            Which Power BI feature allows users to display a visual value using geographic locations such as countries, states, or cities?<\/b><\/p>\n

              \n
            1. Data category<\/span><\/li>\n
            2. Bookmark<\/span><\/li>\n
            3. Drillthrough<\/span><\/li>\n
            4. Field parameter<\/span><\/li>\n<\/ol>\n

              Correct Answer: 1<\/b><\/p>\n

              Explanation<\/b><\/p>\n

              Data categories help Power BI understand the semantic meaning of geographic fields such as Country, State, City, Address, or Postal Code. Assigning an appropriate data category can improve how geographic information is interpreted by mapping visuals and other features. Bookmarks save report states, Drillthrough navigates to detail pages, and Field parameters provide dynamic field selection. Therefore, Data category is the appropriate feature when geographic fields need to be correctly identified for reporting and visualization purposes.<\/span><\/p>\n

              Question 207<\/b><\/h3>\n

              Which DAX function can return a table containing all values from a column while respecting the current filter context?<\/b><\/p>\n

                \n
              1. ALL<\/span><\/li>\n
              2. VALUES<\/span><\/li>\n
              3. REMOVEFILTERS<\/span><\/li>\n
              4. DISTINCTCOUNT<\/span><\/li>\n<\/ol>\n

                Correct Answer: 2<\/b><\/p>\n

                Explanation<\/b><\/p>\n

                VALUES returns a one-column table containing the distinct values from a specified column within the current filter context. It is commonly used in DAX calculations that need to work with the values currently available after filters have been applied. ALL and REMOVEFILTERS can remove filtering, while DISTINCTCOUNT returns a numerical count rather than a table of values. Therefore, VALUES is the appropriate function when a DAX expression needs to retrieve the distinct values of a column according to the current context.<\/span><\/p>\n

                Question 208<\/b><\/h3>\n

                Which Power Query operation allows you to remove columns that are not needed in the final model?<\/b><\/p>\n

                  \n
                1. Remove Columns<\/span><\/li>\n
                2. Fill Down<\/span><\/li>\n
                3. Merge Queries<\/span><\/li>\n
                4. Pivot Column<\/span><\/li>\n<\/ol>\n

                  Correct Answer: 1<\/b><\/p>\n

                  Explanation<\/b><\/p>\n

                  Remove Columns allows unnecessary fields to be excluded from a Power Query dataset. Removing irrelevant columns can simplify the model, reduce the amount of data loaded, and make the resulting table easier to work with. For example, a source file may contain internal notes or unused identifiers that are not required for reporting. Fill Down copies values into blank cells, Merge Queries joins tables, and Pivot Column restructures data. Therefore, Remove Columns is the appropriate transformation for eliminating unwanted fields from a query.<\/span><\/p>\n

                  Question 209<\/b><\/h3>\n

                  Which DAX function can calculate a measure while explicitly removing filters from specified columns or tables?<\/b><\/p>\n

                    \n
                  1. CALCULATE<\/span><\/li>\n
                  2. REMOVEFILTERS<\/span><\/li>\n
                  3. FILTER<\/span><\/li>\n
                  4. VALUES<\/span><\/li>\n<\/ol>\n

                    Correct Answer: 2<\/b><\/p>\n

                    Explanation<\/b><\/p>\n

                    REMOVEFILTERS clears filters from specified tables or columns when used in a DAX calculation. It is commonly combined with CALCULATE when a measure needs to ignore a particular filter while retaining other parts of the current context. For example, a percentage-of-total measure can remove filters from a category column to calculate an overall total. CALCULATE modifies filter context, FILTER creates a filtered table expression, and VALUES returns distinct values. Therefore, REMOVEFILTERS is the appropriate function for explicitly clearing selected filters.<\/span><\/p>\n

                    Question 210<\/b><\/h3>\n

                    Which Power BI visual is designed to display one or more key numerical values prominently?<\/b><\/p>\n

                      \n
                    1. Card<\/span><\/li>\n
                    2. Scatter chart<\/span><\/li>\n
                    3. Treemap<\/span><\/li>\n
                    4. Funnel chart<\/span><\/li>\n<\/ol>\n

                      Correct Answer: 1<\/b><\/p>\n

                      Explanation<\/b><\/p>\n

                      A Card visual is designed to display an important numerical value prominently, making it useful for key performance indicators such as total sales, profit, customer count, or order quantity. Cards provide a quick way for users to understand an important measure without analyzing a complex visual. Scatter charts display relationships between numerical variables, treemaps compare categories through proportional areas, and Funnel charts represent process stages. Therefore, Card is the appropriate visual when a key numerical value needs to be highlighted clearly.<\/span><\/p>\n

                      Question 211<\/b><\/h3>\n

                      Which DAX function can return the current date without including the current time?<\/b><\/p>\n

                        \n
                      1. NOW<\/span><\/li>\n
                      2. TODAY<\/span><\/li>\n
                      3. DATE<\/span><\/li>\n
                      4. CURRENTDATE<\/span><\/li>\n<\/ol>\n

                        Correct Answer: 2<\/b><\/p>\n

                        Explanation<\/b><\/p>\n

                        TODAY returns the current date without including a time component. It can be useful for calculations involving the current day, such as determining whether records are overdue or calculating the age of data relative to today. NOW returns both the current date and time. DATE creates a date from specified year, month, and day values, while CURRENTDATE is not the standard DAX function for this purpose. Therefore, TODAY is the appropriate DAX function when only the current date is required.<\/span><\/p>\n

                        Question 212<\/b><\/h3>\n

                        Which Power Query transformation is used to divide a column into multiple columns based on a delimiter or character position?<\/b><\/p>\n

                          \n
                        1. Merge Columns<\/span><\/li>\n
                        2. Split Column<\/span><\/li>\n
                        3. Group By<\/span><\/li>\n
                        4. Fill Up<\/span><\/li>\n<\/ol>\n

                          Correct Answer: 2<\/b><\/p>\n

                          Explanation<\/b><\/p>\n

                          Split Column divides the contents of a single column into multiple columns. The split can be based on a delimiter, such as a comma or space, or according to character positions. For example, a column containing “London, UK” can be split into separate City and Country columns using a comma delimiter. Merge Columns combines multiple columns, Group By creates summaries, and Fill Up copies values upward into blank cells. Therefore, Split Column is the appropriate Power Query transformation for separating column contents.<\/span><\/p>\n

                          Question 213<\/b><\/h3>\n

                          Which DAX function can evaluate an expression only for rows that meet specified filtering conditions?<\/b><\/p>\n

                            \n
                          1. FILTER<\/span><\/li>\n
                          2. FORMAT<\/span><\/li>\n
                          3. DISTINCT<\/span><\/li>\n
                          4. CONCATENATE<\/span><\/li>\n<\/ol>\n

                            Correct Answer: 1<\/b><\/p>\n

                            Explanation<\/b><\/p>\n

                            FILTER returns a table containing only the rows that satisfy a specified condition. It is frequently used within DAX calculations when a measure or expression needs to operate on a subset of records. For example, FILTER(Sales, Sales[Amount] > 5000) can produce a table containing sales transactions above a specified amount. FORMAT converts values into formatted text, DISTINCT returns unique values, and CONCATENATE combines text values. Therefore, FILTER is the appropriate DAX function for creating a table based on specified conditions.<\/span><\/p>\n

                            Question 214<\/b><\/h3>\n

                            Which Power BI capability allows users to move from Year to Quarter to Month within a date hierarchy in a visual?<\/b><\/p>\n

                              \n
                            1. Drill-down<\/span><\/li>\n
                            2. Drillthrough<\/span><\/li>\n
                            3. Page navigation<\/span><\/li>\n
                            4. Spotlight<\/span><\/li>\n<\/ol>\n

                              Correct Answer: 1<\/b><\/p>\n

                              Explanation<\/b><\/p>\n

                              Drill-down allows users to move through different levels of a hierarchy within the same visual. A date hierarchy may contain levels such as Year, Quarter, Month, and Day. Users can begin with a summarized yearly view and drill into quarters or months to investigate more detailed information. Drillthrough instead opens a separate detail page, Page navigation moves between report pages, and Spotlight emphasizes a visual. Therefore, Drill-down is the correct capability for navigating between levels of a hierarchy inside a visual.<\/span><\/p>\n

                              Question 215<\/b><\/h3>\n

                              Which DAX function can return a table of dates for the previous year based on the current date context?<\/b><\/p>\n

                                \n
                              1. SAMEPERIODLASTYEAR<\/span><\/li>\n
                              2. PREVIOUSMONTH<\/span><\/li>\n
                              3. LASTYEAR<\/span><\/li>\n
                              4. DATEADDYEAR<\/span><\/li>\n<\/ol>\n

                                Correct Answer: 1<\/b><\/p>\n

                                Explanation<\/b><\/p>\n

                                SAMEPERIODLASTYEAR returns a table containing dates from the corresponding period one year earlier than the current date context. It is commonly used for year-over-year comparisons, such as comparing current-year sales with sales from the same period in the previous year. PREVIOUSMONTH specifically works with the preceding month, while LASTYEAR and DATEADDYEAR are not the standard DAX functions for this exact operation. Therefore, SAMEPERIODLASTYEAR is the appropriate function for retrieving the corresponding previous-year period.<\/span><\/p>\n

                                Question 216<\/b><\/h3>\n

                                Which Power BI feature can be used to emphasize a selected visual while temporarily reducing the visual prominence of other report elements?<\/b><\/p>\n

                                  \n
                                1. Spotlight<\/span><\/li>\n
                                2. Slicer<\/span><\/li>\n
                                3. Bookmark<\/span><\/li>\n
                                4. Tooltip<\/span><\/li>\n<\/ol>\n

                                  Correct Answer: 1<\/b><\/p>\n

                                  Explanation<\/b><\/p>\n

                                  Spotlight emphasizes a selected visual by drawing attention to it while reducing the prominence of other elements on the report page. This can be useful during presentations or when a specific chart needs to be examined closely. A Slicer filters report data, a Bookmark saves a report state, and a Tooltip displays additional information when users hover over a visual. Therefore, Spotlight is the appropriate Power BI feature when the objective is to focus attention on one particular visual.<\/span><\/p>\n

                                  Question 217<\/b><\/h3>\n

                                  Which DAX function can return a table containing unique values from a column without counting them?<\/b><\/p>\n

                                    \n
                                  1. DISTINCT<\/span><\/li>\n
                                  2. COUNT<\/span><\/li>\n
                                  3. COUNTA<\/span><\/li>\n
                                  4. DISTINCTCOUNT<\/span><\/li>\n<\/ol>\n

                                    Correct Answer: 1<\/b><\/p>\n

                                    Explanation<\/b><\/p>\n

                                    DISTINCT returns a table containing unique values from a specified column or table expression. It is useful when a DAX calculation needs to work with a list of distinct values rather than a numerical count. For example, DISTINCT(Customer[Country]) can return the unique countries represented in the current context. COUNT and COUNTA return numerical counts, while DISTINCTCOUNT returns the number of unique values. Therefore, DISTINCT is the appropriate function when the actual set of unique values is required.<\/span><\/p>\n

                                    Question 218<\/b><\/h3>\n

                                    Which Power Query feature can change the names of columns to make them clearer or more consistent?<\/b><\/p>\n

                                      \n
                                    1. Rename<\/span><\/li>\n
                                    2. Replace Values<\/span><\/li>\n
                                    3. Group By<\/span><\/li>\n
                                    4. Fill Down<\/span><\/li>\n<\/ol>\n

                                      Correct Answer: 1<\/b><\/p>\n

                                      Explanation<\/b><\/p>\n

                                      Rename allows users to change column names in Power Query. Clear and consistent column names make datasets easier to understand and use in the Power BI model. For example, a source column named “Cust_ID” can be renamed to “Customer ID” to improve readability and consistency with other fields. Replace Values changes cell contents rather than column names, Group By summarizes records, and Fill Down fills blank values. Therefore, Rename is the appropriate Power Query operation when column names need to be changed.<\/span><\/p>\n

                                      Question 219<\/b><\/h3>\n

                                      Which DAX function can return the maximum value of a column while ignoring blank values?<\/b><\/p>\n

                                        \n
                                      1. MAX<\/span><\/li>\n
                                      2. MIN<\/span><\/li>\n
                                      3. SUM<\/span><\/li>\n
                                      4. COUNT<\/span><\/li>\n<\/ol>\n

                                        Correct Answer: 1<\/b><\/p>\n

                                        Explanation<\/b><\/p>\n

                                        MAX returns the largest value from a column or expression and does not treat BLANK values as a larger numeric result. It is useful when a measure needs to identify the highest value within the current filter context. For example, MAX(Sales[Amount]) can return the highest transaction amount visible after report filters are applied. MIN returns the smallest value, SUM calculates a total, and COUNT counts numeric values. Therefore, MAX is the appropriate DAX function when the highest value in a column is required.<\/span><\/p>\n

                                        Question 220<\/b><\/h3>\n

                                        Which Power Query transformation allows you to replace errors with a specified value instead of removing the affected rows?<\/b><\/p>\n

                                          \n
                                        1. Remove Errors<\/span><\/li>\n
                                        2. Replace Errors<\/span><\/li>\n
                                        3. Remove Duplicates<\/span><\/li>\n
                                        4. Keep Rows<\/span><\/li>\n<\/ol>\n

                                          Correct Answer: 2<\/b><\/p>\n

                                          Explanation<\/b><\/p>\n

                                          Replace Errors allows Power Query users to substitute a specified value wherever an error occurs in a selected column. This can be useful when invalid source values need to be handled without removing the entire record. For example, an error in a numeric column might be replaced with zero or another appropriate value, depending on the business requirement. Remove Errors deletes affected rows, Remove Duplicates eliminates repeated records, and Keep Rows retains records according to conditions. Therefore, Replace Errors is the appropriate transformation for correcting error values without deleting rows.<\/span><\/p>\n

                                           <\/p>\n","protected":false},"excerpt":{"rendered":"

                                          View Full Microsoft PL-300 Exam Dumps and Practice Test Dumps.   Question 201 Which Power BI feature allows a report author to control which visuals respond to selections made in another visual? Edit Interactions Drillthrough Bookmarks Data alerts Correct Answer: 1 Explanation Edit Interactions allows report authors to control how one visual affects other visuals […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[1648,1647],"tags":[],"_links":{"self":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/14860"}],"collection":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/comments?post=14860"}],"version-history":[{"count":1,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/14860\/revisions"}],"predecessor-version":[{"id":14931,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/14860\/revisions\/14931"}],"wp:attachment":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/media?parent=14860"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/categories?post=14860"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/tags?post=14860"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}