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

PL-300 Deutsch Exam Simulator
  • Exam Code: PL-300-Deutsch
  • Exam Name: Microsoft Power BI Data Analyst (PL-300 Deutsch Version)
  • Updated: Nov 13, 2026
  • Q & A: 472 Questions and Answers

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About Microsoft PL-300 Deutsch Exam Braindumps

Accuracy comes from process, not promises. Experienced experts draft and review each round of the Microsoft Power BI Data Analyst (PL-300 Deutsch Version) question bank, and Exam4PDF applies that process to all 472 practice questions in the package.

Microsoft PL-300 Deutsch Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft Power BI Data Analyst
Exam Number:PL-300
Passing Score:700 (scaled score, passing not publicly disclosed)
Available Languages:English, Japanese, Chinese (Simplified), Korean
Exam Duration:120 minutes
Exam Price:$165.00 USD
Real Exam Qty:40-60
Certificate Validity Period:1 year
Exam Format:Drag and drop, Multiple choice, Short answer, Case study
Related Certifications:Microsoft Certified: Power BI Data Analyst Associate
Sample Questions:Microsoft PL-300 Deutsch exam simulator
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
Topic 1: Manage and Maintain Workspace Items10-15%- 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
- Manage datasets
  • 1. Resolve dataset permission issues
  • 2. Manage gateways and data sources
  • 3. Manage dataset refresh scheduling
  • 4. Configure dataset metadata and properties
Topic 2: Prepare the Data10-15%- Get data from various data sources
  • 1. Configure dataset refresh
  • 2. Select a shared dataset or create a local copy
  • 3. Change data source settings
  • 4. Choose between DirectQuery, Import, and Dual storage modes
  • 5. Identify and connect to a data source
  • 6. Use Microsoft Fabric and OneLake
- Clean, transform, and load the data
  • 1. Design and build intermediate tables
  • 2. Apply user-friendly naming conventions to columns and tables
  • 3. Determine proper data types
  • 4. Resolve data quality issues
  • 5. Configure data loading and queries
  • 6. Identify the data structure
  • 7. Profile the data
Topic 3: Visualize the Data25-30%- Enhance reports for user experience
  • 1. Design for mobile and specific layouts
  • 2. Apply artistic formatting to visuals
  • 3. Add accessibility features and compliance
  • 4. Add tooltips and navigation
- Build visuals
  • 1. Configure visual interactions and cross-filtering
  • 2. Format and configure pages and report backgrounds
  • 3. Determine the appropriate visual type
  • 4. Configure data colors and shapes
  • 5. Apply sorting and filtering to visuals
  • 6. Apply AI insights and enhanced analytics
- 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
Topic 4: Model the Data25-30%- Optimize model performance
  • 1. Improve user experience by hiding objects
  • 2. Optimize Dax queries
  • 3. Validate performance and resolve issues
  • 4. Configure aggregations
  • 5. Optimize DirectQuery models
- Design a data model
  • 1. Determine the appropriate granularity
  • 2. Implement row-level security
  • 3. Resolve performance issues with relationships
  • 4. Design a star schema or snowflake schema
  • 5. Define tables and table schemas
  • 6. Apply field metadata and groupings
- Create measures and DAX calculations
  • 1. Use Time Intelligence functions
  • 2. Create semi-additive measures
  • 3. Implement context transition
  • 4. Use CALCULATE and FILTER functions
  • 5. Write and use basic DAX syntax
  • 6. Create calculated measures
- Develop the data model
  • 1. Implement row-level security roles
  • 2. Use the calculation group feature
  • 3. Create common date tables
  • 4. Build hierarchies and hierarchical fields
  • 5. Create calculated tables and columns
  • 6. Configure table relationships
Topic 5: Analyze the Data10-15%- Perform analysis in Power BI
  • 1. Use the Q&A visual
  • 2. Identify patterns and trends
  • 3. Generate Pinn visual insights
  • 4. Apply Quick Insights
  • 5. Configure auto-insights
- Work with metrics in Power BI
  • 1. Define and monitor KPIs
  • 2. Create metrics using Microsoft measurements
  • 3. Track goals with scorecards
  • 4. Use the Decomposition Tree visual

PL-300 Deutsch Exam FAQ

The Microsoft Power BI Data Analyst (PL-300 Deutsch Version) exam requires a score of 700 (scaled score, passing not publicly disclosed) to pass, and the official registration fee is $165.00 USD. Knowing these numbers in advance keeps your planning honest.

Each round of the PL-300 Deutsch question bank starts from the official exam objectives: experts map the syllabus, draft questions to cover it with precision, and review the result before release. When new exam points appear, the bank is updated accordingly — deliberate coverage, not guesswork.

Any details you leave with us during browsing or purchase are guarded against misuse and external threats, and they are used only to deliver your order and support. Your PL-300 Deutsch purchase stays between you and us — that is a standing commitment, not a marketing line.

The Microsoft Power BI Data Analyst (PL-300 Deutsch Version) exam contains 40-60 questions, and you will have 120 minutes minutes to complete them. Practicing under the same constraints makes exam-day pacing feel rehearsed.

The Microsoft Power BI Data Analyst (PL-300 Deutsch Version) exam is scored on a scale where 700 (scaled score, passing not publicly disclosed) is required to pass, and the official exam fee is $165.00 USD.

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

You can confirm the current eligibility requirements on the official PL-300 Deutsch exam page before you register.

This package includes 472 practice questions for the Microsoft Power BI Data Analyst (PL-300 Deutsch Version) exam. Every answer is verified by an experienced team of experts, so you can trust what you study.

The Microsoft Power BI Data Analyst (PL-300 Deutsch Version) practice questions are organized around the official exam objectives. Key topics include:

  • Prepare the Data (10-15%)
  • Visualize the Data (25-30%)
  • Model the Data (25-30%)

Syllabus-driven coverage means no wasted practice on irrelevant material.

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

Question #1

Hinweis: Diese Frage ist Teil einer Reihe von Fragen, die dasselbe Szenario darstellen. Jede Frage in der Reihe enthält eine einzigartige Lösung, die die angegebenen Ziele erfüllen könnte. Einige Fragensätze haben möglicherweise mehr als eine richtige Lösung, während andere möglicherweise keine richtige Lösung haben.
Nachdem Sie in diesem Szenario eine Frage beantwortet haben, können Sie NICHT darauf zurückkommen. Daher werden diese Fragen nicht auf dem Überprüfungsbildschirm angezeigt.
Sie haben mehrere Berichte und Dashboards in einem Arbeitsbereich.
Sie müssen allen Organisationsbenutzern Lesezugriff auf ein Dashboard und mehrere Berichte gewähren.
Lösung: Sie aktivieren In App enthalten für alle Assets.
Erreicht dies das Ziel?

  • A. Ja
  • B. Nein
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Explanation: Only visible for Exam4PDF members. You can sign-up / login (it's free).

Question #2

Sie haben eine Tabelle, die die folgenden drei Spalten enthält:
Stadt
Gesamtumsatz
Beruf
Sie müssen eine Visualisierung der wichtigsten Einflussfaktoren erstellen, wie in der Abbildung gezeigt.

Wie sollten Sie die Visualisierung konfigurieren? Wählen Sie dazu die entsprechenden Optionen im Antwortbereich aus.
HINWEIS: Jede richtige Auswahl zählt als ein Punkt.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

Read the completed answer mapping as 1) Total Sales; 2) Occupation; 3) City. The scenario is asking for a way to create a key influencers visualization as shown in the exhibit. Visual selection follows the analytical question: line charts show change over time, bars compare categories, scatter charts expose relationships and outliers, KPIs track progress against a target, and AI visuals explain likely drivers. This directly matches the current study-guide objective " Use AI visuals " . The other visual or configuration choices encode a different task, lose the required interaction, or fail one of the stated display constraints. The result remains understandable to report consumers and responds correctly to the interaction or filtering behavior described in the question.
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/visuals/power-bi-visualizations- overview | PL-300 objective: " Use AI visuals " | Study guide: https://learn.microsoft.com/en-us/credentials
/certifications/resources/study-guides/pl-300

Question #3

Sie erstellen einen Bericht zum Analysieren von Kundentransaktionen aus einer Datenbank, die die in der folgenden Tabelle gezeigten Tabellen enthält.

Sie importieren die Tabellen.
Welche Beziehung sollten Sie verwenden, um die Tabellen zu verknüpfen?

  • A. One-to-Many von der Transaktion zum Kunden
  • B. Eins-zu-eins zwischen Kunde und Transaktion
  • C. viele-zu-viele zwischen Kunde und Transaktion
  • D. One-to-Many vom Kunden zur Transaktion
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Explanation: Only visible for Exam4PDF members. You can sign-up / login (it's free).

Question #4

Sie haben einen Power BI-Bericht namens „Bestellungen“, der die folgende Analyse unterstützt:
; Gesamtumsatz im Zeitverlauf
Die Anzahl der Bestellungen im Laufe der Zeit
; Neu- und Stammkundenzahlen
Die Größe des Datenmodells nähert sich der Grenze für ein semantisches Modell mit gemeinsam genutzter Kapazität. Die Modellansicht für das semantische Modell ist in der folgenden Abbildung dargestellt.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

Import-model reduction should remove unused data, lower avoidable cardinality, or aggregate only to the required analytical grain. The selected change preserves every field, row, and precision requirement stated in the question. Use the selections preserved in the answer exhibit as the supported configuration. The relevant context is that you have a power bi report named orders that supports the following analysis:; total sales over time; the count of orders over time; new and repeat customer counts the data model. A proposed optimization is invalid if it drops required columns, removes needed transaction detail, or lowers numeric precision contrary to the scenario. This rationale is anchored to the PL-300 objective " Improve performance by identifying and removing unnecessary rows and columns " .
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/guidance/import-modeling-data- reduction | PL-300 objective: " Improve performance by identifying and removing unnecessary rows and columns " | Study guide: https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides
/pl-300

Question #5

Sie erstellen Datenprofile mithilfe des Power Query-Editors.
Sie haben eine Tabelle mit einer Spalte namens Spalte1. Die Spaltenstatistik und die Werteverteilung für Spalte1 werden in der folgenden Abbildung dargestellt.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

The retained answer-area mapping contains the correct selections. The key constraint is to interpret the Column statistics and Value distribution shown for Column1. A transformation that replaces, removes, or filters values would change the data before the analyst has quantified the problem; profiling is the diagnostic step. Column profile and column distribution expose value frequency, distinct and unique counts, errors, empty values, and statistics for the selected field. Those diagnostics answer a data-quality question without changing the source values. In Microsoft ' s current exam outline, the corresponding objective is " Evaluate data, including data statistics and column properties " . 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/data-profiling-tools | PL-300 objective: " Evaluate data, including data statistics and column properties " | Study guide: https://learn.
microsoft.com/en-us/credentials/certifications/resources/study-guides/pl-300

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