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Failing the PL-300 Deutsch exam means paying the full registration fee again. A focused run through the Microsoft Power BI Data Analyst (PL-300 Deutsch Version) practice questions at ActualTestsQuiz is a far cheaper way to walk into the testing center prepared.

Microsoft PL-300 Deutsch Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft Power BI Data Analyst
Exam Number:PL-300
Related Certifications:Microsoft Certified: Power BI Data Analyst Associate
Exam Duration:120 minutes
Real Exam Qty:40-60
Passing Score:700 (scaled score, passing not publicly disclosed)
Certificate Validity Period:1 year
Available Languages:English, Chinese (Simplified), Japanese, Korean
Exam Format:Multiple choice, Short answer, Case study, Drag and drop
Exam Price:$165.00 USD
Sample Questions: DOWNLOAD DEMO
Exam Way:Online proctored exam (Pearson VUE) or in-person testing center
Pre Condition:No mandatory prerequisites, but Microsoft recommends having foundational knowledge of data concepts and Microsoft Power BI before taking the exam.
Official Syllabus URL:https://learn.microsoft.com/en-us/certifications/exams/pl-300/

Microsoft PL-300 Deutsch Exam Syllabus Topics:

SectionWeightObjectives
Analyze the Data10-15%- Work with metrics in Power BI
  • 1. Track goals with scorecards
  • 2. Create metrics using Microsoft measurements
  • 3. Define and monitor KPIs
  • 4. Use the Decomposition Tree visual
- Perform analysis in Power BI
  • 1. Configure auto-insights
  • 2. Identify patterns and trends
  • 3. Use the Q&A visual
  • 4. Generate Pinn visual insights
  • 5. Apply Quick Insights
Model the Data25-30%- Create measures and DAX calculations
  • 1. Create calculated measures
  • 2. Use Time Intelligence functions
  • 3. Use CALCULATE and FILTER functions
  • 4. Implement context transition
  • 5. Write and use basic DAX syntax
  • 6. Create semi-additive measures
- Optimize model performance
  • 1. Configure aggregations
  • 2. Validate performance and resolve issues
  • 3. Optimize Dax queries
  • 4. Optimize DirectQuery models
  • 5. Improve user experience by hiding objects
- Design a data model
  • 1. Implement row-level security
  • 2. Resolve performance issues with relationships
  • 3. Define tables and table schemas
  • 4. Determine the appropriate granularity
  • 5. Apply field metadata and groupings
  • 6. Design a star schema or snowflake schema
- Develop the data model
  • 1. Create calculated tables and columns
  • 2. Build hierarchies and hierarchical fields
  • 3. Implement row-level security roles
  • 4. Use the calculation group feature
  • 5. Create common date tables
  • 6. Configure table relationships
Manage and Maintain Workspace Items10-15%- Manage datasets
  • 1. Resolve dataset permission issues
  • 2. Manage gateways and data sources
  • 3. Configure dataset metadata and properties
  • 4. Manage dataset refresh scheduling
- Create and manage workspaces
  • 1. Publish and update a Power BI app
  • 2. Configure workspace membership and roles
  • 3. Endorse sensitive content with sensitivity labels
  • 4. Configure content certification
Visualize the Data25-30%- Enhance reports for user experience
  • 1. Add tooltips and navigation
  • 2. Design for mobile and specific layouts
  • 3. Add accessibility features and compliance
  • 4. Apply artistic formatting to visuals
- Build visuals
  • 1. Apply AI insights and enhanced analytics
  • 2. Determine the appropriate visual type
  • 3. Format and configure pages and report backgrounds
  • 4. Apply sorting and filtering to visuals
  • 5. Configure data colors and shapes
  • 6. Configure visual interactions and cross-filtering
- Enrich reports with advanced visuals
  • 1. Create custom visuals
  • 2. Configure R and Python visuals
  • 3. Use dynamic page navigation
  • 4. Integrate Microsoft Copilot for Power BI
Prepare the Data10-15%- Get data from various data sources
  • 1. Configure dataset refresh
  • 2. Use Microsoft Fabric and OneLake
  • 3. Change data source settings
  • 4. Select a shared dataset or create a local copy
  • 5. Choose between DirectQuery, Import, and Dual storage modes
  • 6. Identify and connect to a data source
- Clean, transform, and load the data
  • 1. Configure data loading and queries
  • 2. Profile the data
  • 3. Resolve data quality issues
  • 4. Design and build intermediate tables
  • 5. Apply user-friendly naming conventions to columns and tables
  • 6. Identify the data structure
  • 7. Determine proper data types

PL-300 Deutsch Exam FAQ: What Candidates Ask About Microsoft Power BI Data Analyst (PL-300 Deutsch Version)

The PL-300 Deutsch exam, officially known as Microsoft Power BI Data Analyst (PL-300 Deutsch Version), is the Microsoft test that leads to the Microsoft Certified: Power BI Data Analyst Associate certification at the Associate level. Passing it validates the skills employers expect from a certified professional. It is also associated with related credentials such as Microsoft Certified: Power BI Data Analyst Associate.

The PL-300 Deutsch exam contains 40-60 questions, and you have 120 minutes to complete them. Work out your per-question pace before test day, and flag slow items instead of stalling on them — time pressure, not knowledge, sinks many first attempts. Timed mock exams in the ActualTestsQuiz test engines are the most reliable way to build that rhythm.

The passing score for the PL-300 Deutsch exam is 700 (scaled score, passing not publicly disclosed), and the official registration fee is $165.00 USD. If you miss the mark, a retake means paying the full fee again, so book your seat only when you are ready. A practical benchmark: score consistently above the passing line on timed practice tests before scheduling the real exam.

No mandatory prerequisites, but Microsoft recommends having foundational knowledge of data concepts and Microsoft Power BI before taking the exam.

Entry requirements can change, so confirm the latest conditions on the official exam page: https://learn.microsoft.com/en-us/certifications/exams/pl-300/.

Yes. A free PDF demo of the Microsoft Power BI Data Analyst (PL-300 Deutsch Version) questions is available, so you can check the question style and answer quality before you pay. Every purchase also includes 365 days of free updates, and if the product expires you can renew the update service at a 50% discount from your member zone.

If you take the corresponding PL-300 Deutsch exam within 60 days of purchase and do not pass, you can apply for a full refund under the 100% Money Back Guarantee: submit a scan of your enrollment slip and your official Score Report (PDF) within 2 days of the exam date, and the claim is processed within 7 days. Attempts made within 3 days of purchase, downloads without an actual exam attempt, free materials, and expired orders are not eligible, and the candidate name must match the payer name. Prefer new material instead of a refund? You can exchange your purchase for two free products of equal value and keep the update service on your original product. As for delivery, the files are available for instant download and are also emailed to you within one minute of payment — if nothing arrives within 2 hours, contact customer service. There is no limit on how many computers you can install the product on.

The official Microsoft Power BI Data Analyst (PL-300 Deutsch Version) outline is organized into 5 domains. The first three are:

  • Model the Data — 25-30% of the exam
  • Prepare the Data — 10-15% of the exam
  • Analyze the Data — 10-15% of the exam

See the complete exam topics section above for the full outline and the weighting of every domain.

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

Question #1

Sie verwenden den Power Query-Editor, um eine Vorschau der in der folgenden Abbildung dargestellten Daten anzuzeigen.

Sie bestätigen, dass die Daten immer in Zeile 3 beginnen und Zeile 3 immer die Spaltennamen enthält.
Wie sollten Sie die Anfrage formulieren? Wählen Sie dazu die entsprechenden Optionen im Antwortbereich aus.
HINWEIS: Jede richtige Auswahl zählt als ein Punkt.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

The deciding requirement in this question is to shape the query. This is a shaping operation in Power Query.
Performing it in the applied steps produces correctly typed, named, and structured columns before loading, which keeps report and model logic focused on analysis. Use the selections preserved in the answer exhibit as the supported configuration. A visual, measure, or model relationship cannot repair the incoming tabular shape; those features operate after the query result has already been loaded. Microsoft lists this skill in the current PL-300 outline as " Create and transform columns " . This keeps the query output reproducible at refresh and leaves the semantic model with the grain and schema required by the report.
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-query/best-practices | PL-300 objective: " Create and transform columns " | Study guide: https://learn.microsoft.com/en-us/credentials/certifications
/resources/study-guides/pl-300

Question #2

Sie haben ein semantisches Power BI-Modell namens Model1, das zwei Tabellen namens DimDate und FactSales enthält.
Zwischen DimDate und FactSales besteht eine aktive Beziehung. DimDate ist als Datumstabelle gekennzeichnet.
FactSales enthält die folgenden Daten.

Modell1 enthält die folgende Kennzahl:

Sie haben einen Bericht, der Modell1 verwendet. Der Bericht besteht aus einer einzigen Berichtsseite, deren Seitenfilter auf „Mai“ eingestellt ist.
9. September 2024. Das Ergebnis der Vorjahresmessung wird in einer Kartengrafik dargestellt.
Welcher Wert wird in der Kartenvisualisierung angezeigt?

  • A. 35
  • B. 10
  • C. 15
  • D. 60
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Question #3

Sie veröffentlichen ein semantisches Modell im Power BI-Dienst. Das semantische Modell enthält eine Verbindung zu einer lokalen Microsoft SQL Server-Datenbank.
Sie versuchen, eine geplante Aktualisierung zu konfigurieren, können aber das entsprechende lokale Datengateway nicht auswählen.
Sie bestätigen dem Administrator des Gateways Folgendes:
Sie verfügen über die erforderlichen Berechtigungen zur Nutzung des Gateways.
Die Datenquelle wurde auf dem Gateway erstellt.
Das Gateway hat den Status „Wird ausgeführt“.
Was ist der wahrscheinlichste Grund dafür, dass das Gateway nicht verfügbar ist?

  • A. Der Datenquellentyp wird vom lokalen Datengateway nicht unterstützt.
  • B. Die Datenquelle ist für die Verwendung von Single Sign-On (SSO) konfiguriert.
  • C. Die Anmeldeinformationen für die Datenquelle sind ungültig.
  • D. Der Servername in der PBIX-Datei stimmt nicht mit dem Datenquellennamen im Gateway überein.
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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Question #4

Sie haben eine Spalte mit dem Namen UnitslnStock, wie in der folgenden Abbildung dargestellt.

UnitsInStock verfügt über 75 Nicht-Null-Werte, von denen 51 eindeutig sind.
Nutzen Sie die Dropdown-Menüs, um die Antwortmöglichkeit auszuwählen, die die jeweilige Aussage anhand der in der Grafik dargestellten Informationen vervollständigt.
HINWEIS: Jede richtige Auswahl zählt als ein Punkt.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

The scenario establishes that you have a column named unitslnstock as shown in the following exhibit.
unitsinstock has 75 non-null values, of which 51 are unique. use the drop-down menus to select the answer choice. The selections in the retained answer exhibit are the verified configuration. Power Query should resolve this requirement before the data enters the semantic model. The chosen transformation preserves the required rows and grain while converting the source layout into an analysis-ready table. A visual, measure, or model relationship cannot repair the incoming tabular shape; those features operate after the query result has already been loaded. The current PL-300 study guide places this under the objective " Resolve inconsistencies, unexpected or null values, and data quality issues " .
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-query/best-practices | PL-300 objective: " Resolve inconsistencies, unexpected or null values, and data quality issues " | Study guide: https://learn.
microsoft.com/en-us/credentials/certifications/resources/study-guides/pl-300

Question #5

Sie müssen Beziehungen aufbauen, um die Berichtspflichten der Kundendienstabteilung zu erfüllen.
Was solltest du erschaffen?

  • A. eine zusätzliche Datumstabelle namens ShipDate, eine Viele-zu-Viele-Beziehung von Sales[sales_date_id] zu Date[date_id] und eine Viele-zu-Viele-Beziehung von Sales[sales_ship_date_id] zu ShipDate[date_id]
  • B. eine Eins-zu-Viele-Beziehung von Sales[sales_date_id] zu Date[date_id] und eine Eins-zu-Viele-Beziehung von Sales[sales_ship_date_id] zu Date[date_id]
  • C. eine zusätzliche Datumstabelle namens ShipDate, eine Eins-zu-Viele-Beziehung von Sales[sales_date_id] zu Date
    [date_id] und eine Eins-zu-Viele-Beziehung von Sales[sales_ship_date_id] zu ShipDate[date_id]
  • D. eine Eins-zu-Viele-Beziehung von Date[date_id] zu Sales[sales_date_id] und eine weitere Eins-zu-Viele-Beziehung von Date[date_id] zu Sales[sales_ship_date_id]
  • E. eine Eins-zu-Viele-Beziehung von Date[date_id] zu Sales[sales_date_id] und eine weitere Eins-zu-Viele-Beziehung von Date[date_id] zu Weekly_Returns[week_id]
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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

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