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Microsoft PL-300 Deutsch Exam Braindumps - in .pdf Free Demo

  • Exam Code: PL-300-Deutsch
  • Exam Name: Microsoft Power BI Data Analyst (PL-300 Deutsch Version)
  • Last Updated: Oct 20, 2026
  • Q & A: 472 Questions and Answers
  • Convenient, easy to study. Printable Microsoft PL-300 Deutsch PDF Format. It is an electronic file format regardless of the operating system platform. 100% Money Back Guarantee.
  • PDF Price: $69.99    

Microsoft PL-300 Deutsch Exam Braindumps - Testing Engine PC Screenshot

  • Exam Code: PL-300-Deutsch
  • Exam Name: Microsoft Power BI Data Analyst (PL-300 Deutsch Version)
  • Last Updated: Oct 20, 2026
  • Q & A: 472 Questions and Answers
  • Uses the World Class PL-300 Deutsch Testing Engine. Free updates for one year. Real PL-300 Deutsch exam questions with answers. Install on multiple computers for self-paced, at-your-convenience training.
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About Microsoft Power BI Data Analyst (PL-300 Deutsch Version) Dump Torrent

Prerequisites of Microsoft Power BI Data Analyst Certification Exam

The Microsoft Power BI Data Analyst Certification Exam is a test which assesses your ability to have a high-level understanding of the data analysis process, including collecting, analyzing and visualizing data. It is a certification that will help you gain the required skills to be able to work with business intelligence solutions and tools. To be eligible to take this exam, you must meet the following prerequisites:

  • You are a professional data analyst with 2-4 years of work experience or an IT professional with 2-4 years of experience.

  • You have at least one year of experience working with relational databases, such as SQL Server or Oracle. In addition, you should have a basic understanding of how to create queries and reports using SQL Server Management Studio or Toad Data Point.

  • You have at least one year of experience using Power BI Desktop.

  • You have at least one year of experience using Power Query in Excel, or an equivalent experience using another data analysis tool.

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/pl-300

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Microsoft Power BI Data Analyst Exam Study Guide Gets You Certified Faster

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Microsoft PL-300 Deutsch Exam Syllabus Topics:

SectionWeightObjectives
Manage and secure Power BI15-20%- Deploy and distribute content
  • 1. Monitor usage and performance
    • 2. Share reports, dashboards, and apps
      • 3. Embed content in applications or websites
        - Manage workspaces and assets
        • 1. Create and configure workspaces
          • 2. Manage data refresh and scheduled updates
            • 3. Publish, update, and organize reports/datasets
              - Implement security and governance
              • 1. Configure row-level security (RLS) and object-level security
                • 2. Manage permissions and access
                  • 3. Apply data sensitivity labels and protection
                    Prepare the data25-30%- Get or connect to data
                    • 1. Choose storage modes: Import, DirectQuery, DirectLake
                      • 2. Create and modify parameters
                        • 3. Identify and connect to data sources or shared semantic models
                          • 4. Configure data source settings, credentials, and privacy levels
                            - Load and configure data
                            • 1. Define table structures and properties
                              • 2. Integrate data from multiple sources
                                • 3. Configure data refresh settings
                                  - Profile and clean data
                                  • 1. Transform data using Power Query Editor
                                    • 2. Manage data types, columns, and rows
                                      • 3. Evaluate data statistics and column properties
                                        • 4. Resolve inconsistencies, null values, and errors
                                          Model the data25-30%- Create model calculations
                                          • 1. Use DAX: calculated columns, calculated tables, measures
                                            • 2. Use CALCULATE and filter context
                                              • 3. Implement aggregation and time intelligence
                                                - Design data models
                                                • 1. Implement role-playing dimensions
                                                  • 2. Define tables, columns, and hierarchies
                                                    • 3. Create relationships: cardinality, cross-filter direction, security
                                                      • 4. Create common date tables
                                                        - Optimize model performance
                                                        • 1. Reduce cardinality and data size
                                                          • 2. Optimize relationships and calculations
                                                            • 3. Use aggregations and composite models
                                                              Visualize and analyze data25-30%- Enhance reports with analytics
                                                              • 1. Create paginated reports
                                                                • 2. Apply conditional formatting and custom visuals
                                                                  • 3. Use AI visuals, forecasts, and key influencers
                                                                    - Create reports and dashboards
                                                                    • 1. Create dashboards and pinned elements
                                                                      • 2. Apply filters, slicers, and drill-through
                                                                        • 3. Design report layout, formatting, and interactivity
                                                                          • 4. Choose appropriate visualizations
                                                                            - Perform data analysis
                                                                            • 1. Create and manage bookmarks and tooltips
                                                                              • 2. Implement custom visuals and R/Python scripts
                                                                                • 3. Interpret results and identify trends

                                                                                  Microsoft Power BI Data Analyst (PL-300 Deutsch Version) Sample Questions:

                                                                                  Question #1

                                                                                  Sie müssen die erforderliche Beziehung für die Visualisierung des Managers erstellen. Was müssen Sie tun, bevor Sie die Beziehung erstellen können?

                                                                                  • A. Ändern Sie den Datentyp von Sales[region_id] in Ganze Zahl.
                                                                                  • B. Ändern Sie den Datentyp von sales[sales_id] in Text.
                                                                                  • C. Ändern Sie den Datentyp von sales [region_id] in Dezimalzahl.
                                                                                  • D. Fügen Sie in der Tabelle "Sales" eine Kennzahl für sum(sales_amount) hinzu.
                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer: A  🗳️

                                                                                  Explanation: Only visible for DumpTorrent members. You can sign-up / login (it's free).

                                                                                  Question #2

                                                                                  Sie entwerfen das Datenmodell für ein semantisches Power BI-Modell. Das Sternschema enthält die folgenden Tabellen.

                                                                                  Welche Tabelle ist die Faktentabelle des Sternschemas, und welche Spalte in der Patiententabelle ist der Ersatzschlüssel des Sternschemas? Wählen Sie zur Beantwortung die entsprechenden Optionen im Antwortbereich aus.
                                                                                  HINWEIS: Jede richtige Auswahl zählt als ein Punkt.

                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer:


                                                                                  Explanation:

                                                                                  A fact table stores the event-level measurements and foreign keys, while a dimension uses a stable unique key to identify each descriptive member. The exhibit ' s transaction table and Patient key should be selected on that basis. The key constraint is to identify the fact table and the Patient table ' s surrogate key in the displayed star schema. The retained answer-area mapping contains the correct selections. The relevant current PL-300 study-guide bullet is " Create fact tables and dimension tables " . Combining descriptive attributes and transactions at mixed grains makes keys and aggregation less predictable than a dimension-to-fact star design.
                                                                                  It also preserves predictable filter context and aggregation behavior when the result is used by several visuals or report pages.
                                                                                  Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/guidance/star-schema | PL-300 objective: " Create fact tables and dimension tables " | Study guide: https://learn.microsoft.com/en-us
                                                                                  /credentials/certifications/resources/study-guides/pl-300

                                                                                  Question #3

                                                                                  Für die Vertriebsabteilung Ihres Unternehmens veröffentlichen Sie einen Power BI-Bericht, der Daten aus einer Microsoft Excel-Datei in einem Microsoft SharePoint-Ordner importiert. Das Datenmodell enthält mehrere Kennzahlen. Sie müssen aus den vorhandenen Daten einen Power BI-Bericht erstellen. Die Lösung soll den Entwicklungsaufwand minimieren. Welchen Datenquellentyp sollten Sie verwenden?

                                                                                  • A. eine Excel-Arbeitsmappe
                                                                                  • B. Semantisches Power BI-Modell
                                                                                  • C. ein SharePoint-Ordner
                                                                                  • D. Power BI-Datenflüsse
                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer: B  🗳️

                                                                                  Explanation: Only visible for DumpTorrent members. You can sign-up / login (it's free).

                                                                                  Question #4

                                                                                  Sobald das semantische Gewinn- und Verlustmodell erstellt ist, welche vier Aktionen sollten Sie nacheinander ausführen, um sicherzustellen, dass die Analysten der Geschäftseinheit die korrekten Gewinn- und Verlustdaten sehen? Um diese Frage zu beantworten, verschieben Sie die entsprechenden Aktionen aus der Aktionsliste in den Antwortbereich und ordnen Sie sie in der richtigen Reihenfolge an.

                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer:


                                                                                  Explanation:

                                                                                  The completed mapping shown in the answer area is correct. The scenario is asking for a way to Once the profit and loss semantic model is created, which four actions should you perform in sequence to ensure that the business unit analysts see the appropriate profit and loss data. The required service action depends on whether the person must consume, build, publish, or administer content. Selecting the narrowest workspace role prevents an unrelated permission from being granted implicitly. This directly matches the current study- guide objective " Assign workspace roles " . A broader role would grant unnecessary authoring or administration, while Viewer cannot create or publish workspace content.
                                                                                  Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/collaborate-share/service-roles-new- workspaces | PL-300 objective: " Assign workspace roles " | Study guide: https://learn.microsoft.com/en-us
                                                                                  /credentials/certifications/resources/study-guides/pl-300

                                                                                  Question #5

                                                                                  Sie haben eine Tabelle namens DiMCountries, die eine Spalte namens Country enthält, wie in der folgenden Tabelle dargestellt.

                                                                                  Sie planen, DiMCountnes als Dimensionsbericht zu verwenden.
                                                                                  Sie müssen sicherstellen, dass in der Spalte „Land“ in DiMCountnes jedes Land nur einmal aufgeführt wird.
                                                                                  Welche zwei Aktionen sollten Sie in der Spalte „Land“ durchführen? Jede richtige Antwort stellt einen Teil der Lösung dar.
                                                                                  HINWEIS: Jede richtige Antwort zählt als ein Punkt.

                                                                                  • A. Datenkategorie in Land ändern.
                                                                                  • B. Ersetzen Sie die leeren Felder.
                                                                                  • C. Wende eine Transformation an, bei der jedes Wort großgeschrieben wird.
                                                                                  • D. Wenden Sie eine saubere Transformation an.
                                                                                  • E. Doppelte Werte entfernen.
                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer: D,E  🗳️

                                                                                  Explanation: Only visible for DumpTorrent members. You can sign-up / login (it's free).

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