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Earning the Microsoft Power BI Data Analyst (PL-300 Deutsch Version) certification signals readiness to deal with current challenges, and PremiumVCEDump builds the path with a question bank designed to run ahead of the test, not chase it.

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

Microsoft Power BI Data Analyst (PL-300 Deutsch Version) Materials That Go Where You Go

Three things set it apart. The bank is researched, not assembled — a specialized team studies question patterns for different kinds of learners, so 472 practice questions for the PL-300 Deutsch exam actually match how people study. The formats are flexible — PDF, PC engine, and an online engine that works offline once downloaded. And the service is integrated — verified answers, daily updates for 365 days, and support by email or online chat at any hour.
The official Microsoft Power BI Data Analyst (PL-300 Deutsch Version) outline splits its weight like this:
  • Visualize the Data (25-30%)
  • Manage and Maintain Workspace Items (10-15%)
  • Prepare the Data (10-15%)
Work the heaviest domains first, then let PremiumVCEDump practice sessions confirm each one.
Yes — that is one of the strengths of the online PL-300 Deutsch version. Download it once in an online environment, and it works offline after that on any electronic device, with unlimited use wherever you are. A network outage, a long flight, a rural commute — your Microsoft Power BI Data Analyst (PL-300 Deutsch Version) study environment travels with you instead of depending on the nearest router. The PC engine and printable PDF play the same role for desk and paper study.
Around 40-60 questions in 120 minutes minutes. The PC engine recreates that exact environment, so practicing in it doubles as dress rehearsal for exam day — and 472 practice questions for the PL-300 Deutsch exam give you plenty of runs to feel ready.
No mandatory prerequisites, but Microsoft recommends having foundational knowledge of data concepts and Microsoft Power BI before taking the exam.
A professional team of specialized experts, organized specifically to research question patterns and study how different learners approach the PL-300 Deutsch material. Content is refined against the live Microsoft Power BI Data Analyst (PL-300 Deutsch Version) blueprint, every answer is verified before publication, and the bank keeps pace with contemporary talent development — so it serves the way people actually prepare today, not the way they did years ago.
A pass requires 700 (scaled score, passing not publicly disclosed), and sitting the exam costs $165.00 USD. Since every retake repeats that fee, thorough preparation with verified PremiumVCEDump material is the investment that protects it.

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

Sie verfügen über einen Power BI-Arbeitsbereich, der einen einseitigen Bericht mit dem Namen „Umsatz“ enthält.
Sie müssen alle visuellen Elemente aus dem Vertriebsbereich in ein Dashboard einfügen. Die Lösung muss sicherstellen, dass zusätzlich zur Seite hinzugefügte visuelle Elemente automatisch auch im Dashboard erscheinen.
Welche drei Aktionen sollten Sie nacheinander ausführen? Um diese Frage zu beantworten, verschieben Sie die entsprechenden Aktionen aus der Aktionsliste in den Antwortbereich und ordnen Sie sie in der richtigen Reihenfolge an.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:
The verified mapping records Select sales report. The required outcome is to add all the visuals from Sales to a dashboard. The solution must ensure that additional visuals added to the page are added automatically to the dashboard. A broader role would grant unnecessary authoring or administration, while Viewer cannot create or publish workspace content. Workspace access is role based. Viewer is read-only, Contributor can create and publish content, Member adds broader collaboration rights, and Admin can manage the workspace and its users. In Microsoft ' s current exam outline, the corresponding objective is " Create dashboards " . This keeps service access and operational behavior within the scope requested instead of granting or changing unrelated capabilities.
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/collaborate-share/service-roles-new- workspaces | PL-300 objective: " Create dashboards " | Study guide: https://learn.microsoft.com/en-us
/credentials/certifications/resources/study-guides/pl-300

Sie haben die in der folgenden Tabelle gezeigten Tabellen.

Die Tabelle „Impressions“ enthält ungefähr 30 Millionen Datensätze pro Monat.
Sie müssen ein Anzeigenanalysesystem erstellen, um die folgenden Anforderungen zu erfüllen:
Präsentieren Sie die Anzahl der Anzeigenimpressionen für den Tag, die Kampagne und den Site-Namen. Die Analysen für das letzte Jahr sind erforderlich.
Minimieren Sie die Größe des Datenmodells.
Welche zwei Aktionen sollten Sie ausführen? Jede richtige Antwort stellt einen Teil der Lösung dar.
HINWEIS: Jede richtige Auswahl ist einen Punkt wert.

  • A. Erstellen Sie eine berechnete Kennzahl, die mithilfe der COUNTROWS-Funktion aggregiert.
  • B. Gruppieren Sie die Impressions nach Ad_id, Site_name und Impression_date.
    Aggregieren Sie mithilfe der CountRows-Funktion.
  • C. Erstellen Sie eine berechnete Tabelle, die Ad_id, Site_name und Impression_date enthält.
  • D. Erstellen Sie Eins-zu-Viele-Beziehungen zwischen den Tabellen.
Reveal Solution  Discussion  0

Correct Answer: B,D  🗳️

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

Sie verwenden Microsoft Power BI Desktop, um Daten im Power Query-Editor zu profilieren. Die Tabellendaten werden wie in der folgenden Abbildung dargestellt angezeigt.

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 retained answer-area mapping contains the correct selections. Begin with the scenario statement that you are using microsoft power bi desktop to profile data in power query editor. table data is displayed as shown in the following exhibit. use the drop-down menus to select. 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. In Microsoft ' s current exam outline, the corresponding objective is " Evaluate data, including data statistics and column properties " .
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-query/best-practices | 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

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

Das Datenmodell muss die folgende Analyse unterstützen:
Gesamtumsatz nach Produkt und Monat der Bestellung
Verkaufsmengen nach Produkt und Bestelltag
Anzahl der Verkaufstransaktionen nach Quartal, in dem die Bestellung aufgegeben wurde
Wählen Sie für jede der folgenden Aussagen „Ja“, wenn die Aussage zutrifft. Wählen Sie andernfalls „Nein“.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

The scenario establishes that the data model must support the following analysis: Total sales by product by month in which the order was placed Quantities sold by product by day on which the order was. The selections in the retained answer exhibit are the verified configuration. The relationship must carry filters from the descriptive table to the transaction table through matching keys. Bidirectional filtering is reserved for a demonstrated need because it can introduce multiple active paths. 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 " .
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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