{"id":2353,"date":"2026-09-21T15:05:20","date_gmt":"2026-09-21T15:05:20","guid":{"rendered":"https:\/\/exam.real4prep.com\/?p=2353"},"modified":"2026-09-21T15:05:20","modified_gmt":"2026-09-21T15:05:20","slug":"view-all-pl-300-actual-exam-questions-answers-and-explanations-for-free-q67-q85","status":"publish","type":"post","link":"https:\/\/exam.real4prep.com\/ja\/2026\/09\/21\/view-all-pl-300-actual-exam-questions-answers-and-explanations-for-free-q67-q85\/","title":{"rendered":"View All PL-300 Actual Exam Questions, Answers and Explanations for Free [Q67-Q85]"},"content":{"rendered":"\n\n
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View All PL-300 Actual Exam Questions, Answers and Explanations for Free<\/span><\/strong><\/span><\/p>\n

PL-300 Exam Free Practice Test with100% Accurate Answers<\/span><\/strong><\/p>\n

Microsoft PL-300 Exam Syllabus Topics:<\/h3>\n\n\n\n\n\n\n\n
Section<\/th>\nWeight<\/th>\nObjectives<\/th>\n<\/tr>\n
Topic 1: Model the data<\/td>\n25-30%<\/td>\n– Optimize model performance<\/p>\n
    \n
  • 1. Use aggregations and composite models\n
      <\/ul>\n<\/li>\n
    • 2. Reduce cardinality and data size\n
        <\/ul>\n<\/li>\n
      • 3. Optimize relationships and calculations\n
          <\/ul>\n<\/li>\n<\/ul>\n

          – Design data models<\/p>\n

            \n
          • 1. Define tables, columns, and hierarchies\n
              <\/ul>\n<\/li>\n
            • 2. Implement role-playing dimensions\n
                <\/ul>\n<\/li>\n
              • 3. Create relationships: cardinality, cross-filter direction, security\n
                  <\/ul>\n<\/li>\n
                • 4. Create common date tables\n
                    <\/ul>\n<\/li>\n<\/ul>\n

                    – Create model calculations<\/p>\n

                      \n
                    • 1. Implement aggregation and time intelligence\n
                        <\/ul>\n<\/li>\n
                      • 2. Use CALCULATE and filter context\n
                          <\/ul>\n<\/li>\n
                        • 3. Use DAX: calculated columns, calculated tables, measures\n
                            <\/ul>\n<\/li>\n<\/ul>\n<\/td>\n<\/tr>\n
Topic 2: Manage and secure Power BI<\/td>\n15-20%<\/td>\n– Deploy and distribute content<\/p>\n
    \n
  • 1. Monitor usage and performance\n
      <\/ul>\n<\/li>\n
    • 2. Share reports, dashboards, and apps\n
        <\/ul>\n<\/li>\n
      • 3. Embed content in applications or websites\n
          <\/ul>\n<\/li>\n<\/ul>\n

          – Manage workspaces and assets<\/p>\n

            \n
          • 1. Publish, update, and organize reports\/datasets\n
              <\/ul>\n<\/li>\n
            • 2. Manage data refresh and scheduled updates\n
                <\/ul>\n<\/li>\n
              • 3. Create and configure workspaces\n
                  <\/ul>\n<\/li>\n<\/ul>\n

                  – Implement security and governance<\/p>\n

                    \n
                  • 1. Configure row-level security (RLS) and object-level security\n
                      <\/ul>\n<\/li>\n
                    • 2. Apply data sensitivity labels and protection\n
                        <\/ul>\n<\/li>\n
                      • 3. Manage permissions and access\n
                          <\/ul>\n<\/li>\n<\/ul>\n<\/td>\n<\/tr>\n
Topic 3: Visualize and analyze data<\/td>\n25-30%<\/td>\n– Enhance reports with analytics<\/p>\n
    \n
  • 1. Use AI visuals, forecasts, and key influencers\n
      <\/ul>\n<\/li>\n
    • 2. Create paginated reports\n
        <\/ul>\n<\/li>\n
      • 3. Apply conditional formatting and custom visuals\n
          <\/ul>\n<\/li>\n<\/ul>\n

          – Perform data analysis<\/p>\n

            \n
          • 1. Implement custom visuals and R\/Python scripts\n
              <\/ul>\n<\/li>\n
            • 2. Interpret results and identify trends\n
                <\/ul>\n<\/li>\n
              • 3. Create and manage bookmarks and tooltips\n
                  <\/ul>\n<\/li>\n<\/ul>\n

                  – Create reports and dashboards<\/p>\n

                    \n
                  • 1. Design report layout, formatting, and interactivity\n
                      <\/ul>\n<\/li>\n
                    • 2. Create dashboards and pinned elements\n
                        <\/ul>\n<\/li>\n
                      • 3. Apply filters, slicers, and drill-through\n
                          <\/ul>\n<\/li>\n
                        • 4. Choose appropriate visualizations\n
                            <\/ul>\n<\/li>\n<\/ul>\n<\/td>\n<\/tr>\n
Topic 4: Prepare the data<\/td>\n25-30%<\/td>\n– Profile and clean data<\/p>\n
    \n
  • 1. Evaluate data statistics and column properties\n
      <\/ul>\n<\/li>\n
    • 2. Resolve inconsistencies, null values, and errors\n
        <\/ul>\n<\/li>\n
      • 3. Transform data using Power Query Editor\n
          <\/ul>\n<\/li>\n
        • 4. Manage data types, columns, and rows\n
            <\/ul>\n<\/li>\n<\/ul>\n

            – Load and configure data<\/p>\n

              \n
            • 1. Define table structures and properties\n
                <\/ul>\n<\/li>\n
              • 2. Integrate data from multiple sources\n
                  <\/ul>\n<\/li>\n
                • 3. Configure data refresh settings\n
                    <\/ul>\n<\/li>\n<\/ul>\n

                    – Get or connect to data<\/p>\n

                      \n
                    • 1. Create and modify parameters\n
                        <\/ul>\n<\/li>\n
                      • 2. Identify and connect to data sources or shared semantic models\n
                          <\/ul>\n<\/li>\n
                        • 3. Choose storage modes: Import, DirectQuery, DirectLake\n
                            <\/ul>\n<\/li>\n
                          • 4. Configure data source settings, credentials, and privacy levels\n
                              <\/ul>\n<\/li>\n<\/ul>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

                               <\/p>\n

                              \n
                              \n

                              NO.67<\/strong> What should you create to meet the reporting requirements of the sales department?
                              <\/p>\n<\/div>