PL-300 Deutsch exam dumps

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  • Exam Code: PL-300 Deutsch
  • Exam Name: Microsoft Power BI Data Analyst (PL-300 Deutsch Version)
  • No. of Questions: 472 Questions and Answers
  • Updated: Oct 27, 2026

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Smartphone or iPad at your convenience — the Microsoft Power BI Data Analyst (PL-300 Deutsch Version) practice test supports any electronic equipment: 472 practice questions for the PL-300 Deutsch exam in 2026.

Microsoft PL-300 Deutsch Exam Overview:

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

Microsoft PL-300 Deutsch Exam: Spare-Time Answers

The Microsoft Power BI Data Analyst (PL-300 Deutsch Version) is Microsoft's certification exam for Microsoft Certified: Power BI Data Analyst Associate, at the Associate level. Office workers without time for classes prepare best in spare time with focused material. Related credentials include Microsoft Certified: Power BI Data Analyst Associate.

$165.00 USD per attempt, 700 (scaled score, passing not publicly disclosed) to pass. Retakes cost the full fee — realize your shortcomings early with the 472 practice questions for the PL-300 Deutsch exam at Actual4Labs.

No mandatory prerequisites, but Microsoft recommends having foundational knowledge of data concepts and Microsoft Power BI before taking the exam. Eligibility rules change over time, so verify the current requirements on the official page (official PL-300 Deutsch exam page) before registering.

Upon successful payment, our system emails the Microsoft Power BI Data Analyst (PL-300 Deutsch Version) test braindump automatically within about a minute, with 24/7 customer assisting if nothing arrives within 2 hours. If you fail the corresponding PL-300 Deutsch exam within 60 days of purchase, we full refund you: send a scanned enrollment slip plus the official Score Report PDF within 2 days of the exam, processed within 7 days. Excluded: exams within 3 days of purchase, candidate names that don't match the payer, and free or expired products. Or exchange for two equal-value products free.

120 minutes for 40-60 questions. The Actual4Labs Soft Test Engine lets you set test time and check accuracy — like the actual test, on any electronic equipment.

The Microsoft Power BI Data Analyst (PL-300 Deutsch Version) blueprint spans 5 domains — including Manage and Maintain Workspace Items (10-15%), Model the Data (25-30%), Visualize the Data (25-30%). Daily checks keep our material aligned; the complete outline above lists every subtopic.

Yes — download the free demo of the Microsoft Power BI Data Analyst (PL-300 Deutsch Version) test braindump before you buy. Purchases include one-year free updating service — 365 days by email; renew afterward at 50% off.

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

Sie verwenden den Leistungsanalysator, um die Leistung einer Visualisierung in einem Power BI-Bericht zu analysieren:
Sie müssen die folgenden Protokollinformationen ermitteln:
Die Zeit, die zum Abrufen von Daten aus einer Quelle benötigt wird
Die Wartezeit, bis andere visuelle Elemente fertiggestellt sind
Welche Aufgabenkategorien sollten Sie überprüfen? Wählen Sie dazu die entsprechenden Optionen im Antwortbereich aus.
HINWEIS: Jede richtige Auswahl zählt als ein Punkt.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:
What determines the answer is the need to identify the following log information: The time spent to retrieve data from a source The time required to wait for other visuals to complete. Performance Analyzer records how long each visual spends on its DAX query, display, and other processing. DAX query view can then run and inspect a copied query to isolate the measure responsible for slow execution. Use the selections preserved in the answer exhibit as the supported configuration. Guessing from total page time does not isolate the slow visual or measure; the diagnostic must separate DAX query, visual display, and other processing duration.
Microsoft lists this skill in the current PL-300 outline as " Identify poorly performing measures, relationships, and visuals by using Performance Analyzer and DAX query view " .
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/create-reports/performance-analyzer | PL-300 objective: " Identify poorly performing measures, relationships, and visuals by using Performance Analyzer and DAX query view " | Study guide: https://learn.microsoft.com/en-us/credentials/certifications
/resources/study-guides/pl-300

Sie erweitern ein Power BI-Modell, das DAX-Berechnungen enthält.
Sie müssen eine Kennzahl erstellen, die den kumulierten Jahresumsatz ab dem gleichen Datum des vorherigen Kalenderjahres zurückgibt.
Welche DAX-Funktionen sollten Sie verwenden? Wählen Sie dazu die entsprechenden Optionen im Antwortbereich aus.
HINWEIS: Jede richtige Auswahl zählt als ein Punkt.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

DAX calculations depend on evaluation context. Aggregators, iterators, and filter-modifying functions must be combined so the expression evaluates the intended rows while retaining or replacing filters only where required. The key constraint is to create a measure that returns the year-to-date total sales from the same date of the previous calendar year. The retained answer-area mapping contains the correct selections. The relevant current PL-300 study-guide bullet is " Implement time intelligence measures " . An alternative that changes the source or creates a stored column either ignores filter context or increases model size without meeting a dynamic measure requirement. 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/dax/ | PL-300 objective: " Implement time intelligence measures " | Study guide: https://learn.microsoft.com/en-us/credentials/certifications/resources
/study-guides/pl-300

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 ein gruppiertes Balkendiagramm, das eine Kennzahl mit dem Namen „Gehalt“ als Wert und ein Feld mit dem Namen „Mitarbeiter“ als Achse enthält. Das Gehalt ist in den Daten als numerischer Betrag vorhanden, der US-Dollar darstellt.
Sie müssen eine Referenzlinie erstellen, um anzuzeigen, welche Mitarbeiter über dem Mediangehalt liegen.
Lösung: Sie erstellen eine konstante Linie und setzen den Wert auf .5.
Erreicht dies das Ziel?

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

Correct Answer: B  🗳️

Explanation: Only visible for Actual4Labs members. You can sign-up / login (it's free).

Sie haben einen Power BI-Bericht, der die in der folgenden Abbildung dargestellte Visualisierung enthält.

Sie müssen die visuelle Darstellung für Nutzer mit Farbsehschwäche zugänglicher gestalten.
Was sollten Sie tun?

  • A. Ändere die rote Hintergrundfarbe in Orange.
  • B. Füge Symbole hinzu, um den Verkaufsstatus jedes Produkts darzustellen.
  • C. Füge den Tabellenwerten zusätzliche Kennzahlen hinzu.
  • D. Ändere die Schriftfarbe der Werte in der Spalte "Umsatz" auf Weiß.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Explanation: Only visible for Actual4Labs members. You can sign-up / login (it's free).

Sie erstellen einen Analysebericht, der Daten aus den in der folgenden Tabelle aufgeführten Tabellen verwendet.

Zwischen den Tabellen besteht eine Beziehung.
Für employeejd und employee_photo bestehen keine Meldepflichten.
Sie müssen das Datenmodell optimieren.
Welche Einstellungen sollten Sie für employeejd und employee.photo vornehmen? Wählen Sie dazu die entsprechenden Optionen im Antwortbereich aus.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

What determines the answer is the need to optimize the data model. The retained answer area specifies 1) Hide; 2) Delete. A lookup-to-fact design normally uses one-to-many cardinality and single-direction filtering from the unique key to the repeating key. That creates predictable propagation and avoids an unnecessary ambiguous filter path. The opposite cardinality or unnecessary bidirectional filtering can duplicate results, block propagation, or create ambiguity rather than solve the stated model path. The current PL-300 study guide places this under the objective " Define a relationship ' s cardinality and cross-filter direction " . 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/transform-model/desktop- relationships-understand | PL-300 objective: " Define a relationship ' s cardinality and cross-filter direction "
| Study guide: https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/pl-300

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