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

  • Exam Code: PL-300-Deutsch
  • Exam Name: Microsoft Power BI Data Analyst (PL-300 Deutsch Version)
  • Updated: Oct 09, 2026
  • Q & A: 472 Questions and Answers

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About Microsoft PL-300 Deutsch Exam Questions

Skim the whole map before walking the trail. In 2026, successful PL-300 Deutsch candidates start with the full Microsoft Power BI Data Analyst (PL-300 Deutsch Version) outline and the 472 practice questions from ValidVCE, then drill the difficult points they marked along the way.

Microsoft PL-300 Deutsch Exam Overview:

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

Microsoft PL-300 Deutsch Exam: Read Before You Buy

Microsoft Power BI Data Analyst (PL-300 Deutsch Version) is an official Microsoft exam, catalogued under exam code PL-300 Deutsch. Passing it awards the Microsoft Certified: Power BI Data Analyst Associate certification at the Associate level. It also connects with Microsoft Certified: Power BI Data Analyst Associate. It is built for candidates with ambitious aims, and the credential it grants is recognized accordingly.

Microsoft Power BI Data Analyst (PL-300 Deutsch Version) spans 5 official domains, led by Model the Data (25-30%), Analyze the Data (10-15%), and Visualize the Data (25-30%). The complete outline sits above; before getting down to business, look through the whole contents quickly so every later practice session has context.

The Microsoft Power BI Data Analyst (PL-300 Deutsch Version) exam presents 40-60 questions within 120 minutes. A practical tip from successful candidates: mark the most difficult questions during practice, exchange notes on them with friends, and repeat them until they stop being difficult. The ValidVCE engine makes that loop fast, and the clock stops being a threat.

Passing Microsoft Power BI Data Analyst (PL-300 Deutsch Version) requires 700 (scaled score, passing not publicly disclosed), and official registration costs $165.00 USD. Retakes bill the full $165.00 USD again, so verify readiness before booking: when your ValidVCE practice scores clear the requirement repeatedly, including on questions you once marked as difficult, you are ready.

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

Requirements change from time to time, so confirm the current conditions before registering on the official exam page.

Yes, a free demo of the Microsoft Power BI Data Analyst (PL-300 Deutsch Version) questions is available before purchase. Afterward, you can track freshness by the updating version number on the website, and whenever questions change we instantly email the details to you, free for 365 days. We even keep sending the latest questions after you pass, so you can follow every tiny change. After expiry, extending updates costs 50% of the regular price.

Your purchase carries a 100% money-back guarantee under clear conditions. Take the Microsoft Power BI Data Analyst (PL-300 Deutsch Version) exam within 60 days of purchase; if you fail, you may claim a full refund, provided the exam matches your product. Attempts within 3 days of purchase are ineligible, as are downloaded-but-unused products, free materials, and expired orders; the candidate name must match the payer name. Submit a scanned enrollment slip and the official Score Report PDF within 2 days of the exam, and claims are processed within 7 days. Alternatively, exchange for two other exam products of equal value, free, keeping the update service on your original purchase.

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

Question #1

Sie müssen das semantische Modell erstellen. Welchen semantischen Modellmodus sollten Sie verwenden?

  • A. DirectQuery
  • B. Import
  • C. Verbundwerkstoff
  • D. Live-Verbindung
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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

Question #2

Sie müssen das semantische Modell erstellen.
Welchen Speichermodus sollten Sie für die Tabellen im semantischen Modell verwenden?

  • A. DirectQuery
  • B. Import
  • C. Dual
  • D. Live-Verbindung
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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

Question #3

Die Ergebnisse der Leistungsanalyse sind in der folgenden Abbildung dargestellt.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

The selections in the retained answer exhibit are the verified configuration. 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. The scenario establishes that you have the performance analyzer results shown in the following exhibit. 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. For exam alignment, this is assessed under " Identify poorly performing measures, relationships, and visuals by using Performance Analyzer and DAX query view " in the current study guide.
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

Question #4

Ihre API gibt mehr als 100 Spalten zurück. Nachfolgend finden Sie eine Auswahl an Spaltennamen.
client_notified_timestamp
Client benachrichtigte Quelle
client_notified_sourceid
client_notified_value
client_responded_timestamp
Client-Antwortquelle
client_responded_sourceid
client_responded_value
Sie planen, nur eine Teilmenge der zurückgegebenen Spalten einzubeziehen.
Sie müssen alle Spalten entfernen, die das Suffix sourceid haben.
Wie sollten Sie den Power Query M-Code vervollständigen? 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 required outcome is to remove any columns that have a suffix of sourceid. Read the completed answer mapping as 1) Table.RemoveColumns; 2) List.Select; 3) Text.EndsWith. A visual, measure, or model relationship cannot repair the incoming tabular shape; those features operate after the query result has already been loaded. 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. The current skills outline describes this competency 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 #5

Sie haben ein semantisches Power BI-Modell, das eine Tabelle namens Opportunity enthält.
Die Tabelle „Chance“ enthält eine Spalte mit dem Namen „Qualifikation“.
Die Spalte „Qualifikation“ enthält Werte zwischen 0 und V.
Sie müssen ein neues Messinstrument entwickeln, um die Chancen auf einer Skala von niedrig, mittel und hoch zu bewerten.
Wie sollten Sie die DAX-Formel vervollständigen? 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 build a new measure to score the opportunities on a scale of low, medium, and high. The verified expression produces the requested scalar result under report filtering. It uses model relationships and DAX context semantics instead of shifting a dynamic calculation into a static source or calculated column. Use the selections preserved in the answer exhibit as the supported configuration. 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. Microsoft lists this skill in the current PL-300 outline as " Create single aggregation measures " .
Microsoft Learn reference: https://learn.microsoft.com/en-us/dax/ | PL-300 objective: " Create single aggregation measures " | Study guide: https://learn.microsoft.com/en-us/credentials/certifications/resources
/study-guides/pl-300

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