Microsoft PL-300 Deutsch Q&A - in .pdf

  • PL-300 Deutsch pdf
  • Exam Code: PL-300 Deutsch
  • Exam Name: Microsoft Power BI Data Analyst (PL-300 Deutsch Version)
  • Updated: Sep 10, 2026
  • Q & A: 472 Questions and Answers
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  • Exam Code: PL-300 Deutsch
  • Exam Name: Microsoft Power BI Data Analyst (PL-300 Deutsch Version)
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  • Updated: Sep 10, 2026
  • Q & A: 472 Questions and Answers
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  • Exam Code: PL-300 Deutsch
  • Exam Name: Microsoft Power BI Data Analyst (PL-300 Deutsch Version)
  • Updated: Sep 10, 2026
  • Q & A: 472 Questions and Answers
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Microsoft PL-300 Deutsch Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft Power BI Data Analyst
Exam Number:PL-300
Exam Price:$165.00 USD
Passing Score:700 (scaled score, passing not publicly disclosed)
Certificate Validity Period:1 year
Real Exam Qty:40-60
Exam Duration:120 minutes
Exam Format:Short answer, Case study, Drag and drop, Multiple choice
Related Certifications:Microsoft Certified: Power BI Data Analyst Associate
Available Languages:Korean, Japanese, Chinese (Simplified), English
Sample Questions:PL-300 Deutsch Practice Dumps
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
Model the Data25-30%- Design a data model
  • 1. Define tables and table schemas
  • 2. Apply field metadata and groupings
  • 3. Resolve performance issues with relationships
  • 4. Design a star schema or snowflake schema
  • 5. Implement row-level security
  • 6. Determine the appropriate granularity
- Create measures and DAX calculations
  • 1. Write and use basic DAX syntax
  • 2. Implement context transition
  • 3. Create calculated measures
  • 4. Use CALCULATE and FILTER functions
  • 5. Use Time Intelligence functions
  • 6. Create semi-additive measures
- Optimize model performance
  • 1. Optimize DirectQuery models
  • 2. Optimize Dax queries
  • 3. Improve user experience by hiding objects
  • 4. Validate performance and resolve issues
  • 5. Configure aggregations
- Develop the data model
  • 1. Implement row-level security roles
  • 2. Configure table relationships
  • 3. Create calculated tables and columns
  • 4. Use the calculation group feature
  • 5. Build hierarchies and hierarchical fields
  • 6. Create common date tables
Prepare the Data10-15%- Clean, transform, and load the data
  • 1. Configure data loading and queries
  • 2. Resolve data quality issues
  • 3. Profile the data
  • 4. Identify the data structure
  • 5. Apply user-friendly naming conventions to columns and tables
  • 6. Design and build intermediate tables
  • 7. Determine proper data types
- Get data from various data sources
  • 1. Use Microsoft Fabric and OneLake
  • 2. Choose between DirectQuery, Import, and Dual storage modes
  • 3. Select a shared dataset or create a local copy
  • 4. Identify and connect to a data source
  • 5. Change data source settings
  • 6. Configure dataset refresh
Visualize the Data25-30%- Build visuals
  • 1. Apply AI insights and enhanced analytics
  • 2. Configure visual interactions and cross-filtering
  • 3. Determine the appropriate visual type
  • 4. Format and configure pages and report backgrounds
  • 5. Configure data colors and shapes
  • 6. Apply sorting and filtering to visuals
- Enhance reports for user experience
  • 1. Apply artistic formatting to visuals
  • 2. Add accessibility features and compliance
  • 3. Add tooltips and navigation
  • 4. Design for mobile and specific layouts
- Enrich reports with advanced visuals
  • 1. Configure R and Python visuals
  • 2. Integrate Microsoft Copilot for Power BI
  • 3. Use dynamic page navigation
  • 4. Create custom visuals
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. Endorse sensitive content with sensitivity labels
  • 3. Configure workspace membership and roles
  • 4. Configure content certification
Analyze the Data10-15%- Work with metrics in Power BI
  • 1. Use the Decomposition Tree visual
  • 2. Track goals with scorecards
  • 3. Define and monitor KPIs
  • 4. Create metrics using Microsoft measurements
- Perform analysis in Power BI
  • 1. Configure auto-insights
  • 2. Identify patterns and trends
  • 3. Use the Q&A visual
  • 4. Apply Quick Insights
  • 5. Generate Pinn visual insights

Microsoft PL-300 Deutsch Exam: Frequently Asked Questions

The Microsoft Power BI Data Analyst (PL-300 Deutsch Version) exam is the official Microsoft test registered under exam code PL-300 Deutsch. Passing it earns you the Microsoft Certified: Power BI Data Analyst Associate certification, a credential at the Associate level. It is also linked to the related certification: Microsoft Certified: Power BI Data Analyst Associate. Microsoft exams are valued because they test job-ready skills, so a passing score here carries real weight on a resume.

The Microsoft Power BI Data Analyst (PL-300 Deutsch Version) exam includes 40-60 questions to be completed within 120 minutes. Do the pacing math before exam day: with that many items on the clock, you need a steady rhythm and the discipline to flag a hard question and move on instead of stalling. Two or three full timed sessions with the ActualCollection test engine will show you exactly what that pace feels like, so time pressure stops being a factor on the real day.

To pass the Microsoft Power BI Data Analyst (PL-300 Deutsch Version) exam you need 700 (scaled score, passing not publicly disclosed), and the official registration fee is $165.00 USD. A retake is not discounted: a failed attempt means paying the full $165.00 USD again, so treat your first sitting as the expensive one. A sensible rule is to book your seat only after you are scoring comfortably above the passing mark on the ActualCollection practice tests, not just squeaking past it once.

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

Eligibility rules do change from time to time, so confirm the current requirements before you register on the official exam page.

Yes. ActualCollection offers a free PDF demo of the Microsoft Power BI Data Analyst (PL-300 Deutsch Version) material so you can judge the question quality and format before spending anything. After purchase, your license includes 365 days of free updates, and if you want to keep receiving updates after that period, renewals are available at a 50% discount.

If you take the Microsoft Power BI Data Analyst (PL-300 Deutsch Version) exam within 60 days of your purchase and do not pass, ActualCollection backs you with a 100% money-back guarantee. The claim must match the exam your product covers: attempts taken within 3 days of purchase are not eligible (that is too little preparation time), and neither are downloaded-but-unused products, free materials, or expired orders. The candidate name must match the payer name, and you need to submit a scanned enrollment slip plus the official Score Report PDF within 2 days of the exam; claims are processed within 7 days. Prefer not to refund? You can swap instead and receive two other exam products of equal value for free while keeping the update service on your original purchase.

Delivery itself is instant: your files are downloadable right away and 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 may install the software on.

The official Microsoft Power BI Data Analyst (PL-300 Deutsch Version) syllabus is organized into 5 domains. Key areas include Prepare the Data (10-15%), Manage and Maintain Workspace Items (10-15%), and Analyze the Data (10-15%). The complete, up-to-date topic list appears in the exam topics section above; work through it line by line and flag anything you cannot yet explain in your own words.

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

Question #1

Was sollten Sie tun, um die bestehenden Bedenken hinsichtlich der Umweltdaten auszuräumen?

  • A. eine berechnete Spalte, die die folgende Formel verwendet: ABS(Sales[sales_amount])
  • B. eine Kennzahl, die die folgende Formel verwendet: SUMX(FILTER( ' Sales ' , ' Sales ' [sales_amount] > 0)),
    [Umsatz])
  • C. eine Kennzahl, die die folgende Formel verwendet: SUMME(Umsatz[Umsatzbetrag])
  • D. Eine berechnete Spalte, die die folgende Formel verwendet: WENN(ISTLEER(Umsatz[Umsatzbetrag]),0, (Umsatz)
    [sales_amount] ))
Answer: B

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

Question #2

Hinweis: Diese Frage ist Teil einer Reihe von Fragen, die dasselbe Szenario beschreiben. Zur Vereinfachung wird das Szenario in jeder Frage wiederholt. Jede Frage hat ein anderes Ziel und andere Antwortmöglichkeiten, der Text des Szenarios ist jedoch in allen Fragen dieser Reihe identisch.
Beginn eines wiederholten Szenarios
Sie verfügen über eine Microsoft SQL Server-Datenbank mit den im Datenbankdiagramm dargestellten Tabellen. (Klicken Sie auf das Diagramm.)

Sie planen die Entwicklung eines Power BI-Modells, wie in der Abbildung „Power BI-Modell“ dargestellt. (Klicken Sie auf die Abbildung).

Sie planen, Power BI zu verwenden, um Daten aus den Jahren 2013 bis 2015 zu importieren.
Die Produktunterkategorie [Subcategory] enthält NULL-Werte.
Ende des wiederholten Szenarios.
Sie implementieren das Power BI-Modell.
Sie müssen der Tabelle „Produktunterkategorien“ eine neue Spalte hinzufügen, die die folgende Formel verwendet.
=wenn [Unterkategorie] =null dann "NA" sonst [Unterkategorie]
Welchen Befehl sollten Sie im Abfrage-Editor verwenden?

  • A. Spalte aus Beispielen
  • B. Benutzerdefinierte Spalte
  • C. Benutzerdefinierte Funktion aufrufen
  • D. Bedingte Spalte
Answer: B

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

Question #3

Sie haben ein Liniendiagramm, das die Anzahl der Mitarbeiter in einer Abteilung im Zeitverlauf darstellt.
Die gesamten Gehaltskosten der Mitarbeiter sollen angezeigt werden, wenn man mit dem Mauszeiger über einen Datenpunkt fährt.
Welche Möglichkeiten gibt es, dieses Ziel zu erreichen?

  • A. Füge den visuellen Filtern ein Gehalt hinzu.
  • B. Gehalt zu den Drillthrough-Feldern hinzufügen.
  • C. Füge den Tooltips ein Gehalt hinzu.
Answer: C

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

Question #4

Hinweis: Diese Frage ist Teil einer Reihe von Fragen, die dasselbe Szenario beschreiben. Jede Frage dieser Reihe enthält eine individuelle Lösung, die die genannten Ziele erfüllen kann. Manche Fragensätze können mehrere richtige Lösungen haben, andere hingegen keine.
Nachdem Sie eine Frage in diesem Abschnitt beantwortet haben, können Sie nicht mehr zu ihr zurückkehren. Daher werden diese Fragen nicht in der Übersicht angezeigt.
Sie haben fünf Berichte und zwei Dashboards in einem Arbeitsbereich.
Sie müssen allen Benutzern Ihrer Organisation Lesezugriff auf ein Dashboard und drei Berichte gewähren. Lösung: In Microsoft Azure Active Directory (Azure AD), einem Bestandteil von Microsoft Enterprise, erstellen Sie eine Gruppe, die alle Benutzer enthält. Geben Sie anschließend jeden ausgewählten Bericht und das Dashboard für diese Gruppe frei.
Wird damit das Ziel erreicht?

  • A. Nein
  • B. Ja
Answer: B

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

Question #5

Das Hinzufügen eines Indexschlüssels und die Normalisierung der Groß-/Kleinschreibung in der Datenquelle helfen, Probleme mit undefinierten Werten und Fehlern in einer Spalte mit Groß-/Kleinschreibungsbeschränkung zu beheben. Der Indexschlüssel dient als eindeutiger Bezeichner, und die Normalisierung der Groß-/Kleinschreibung gewährleistet die Datenkonsistenz, wodurch die im semantischen Modell von Power BI aufgetretenen Fehler wahrscheinlich vermieden werden.
Sie verfügen über ein Power BI-Datenmodell, das eine Datumstabelle und eine Umsatztabelle aus einer Azure SQL-Datenbank importiert. Die Umsatztabelle enthält die folgenden Datumsfremdschlüssel.
;Fälligkeitsdatum
Bestelldatum
;Liefertermin
Sie müssen die Analyse der Umsatzentwicklung im Zeitverlauf auf Basis aller drei Stichtage gleichzeitig unterstützen.
Lösung: Sie erstellen Measures, die die DAX-Funktion USERELATIONSHIP verwenden, um die Verkäufe anhand der inaktiven Beziehungen zwischen der Verkaufstabelle und der Datumstabelle zu filtern.
Wird damit das Ziel erreicht?

  • A. Nein
  • B. Ja
Answer: A

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

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