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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:
| Section | Weight | Objectives |
|---|---|---|
| Prepare the Data | 10-15% | - Clean, transform, and load the data
|
| Visualize the Data | 25-30% | - Enrich reports with advanced visuals
|
| Model the Data | 25-30% | - Create measures and DAX calculations
|
| Analyze the Data | 10-15% | - Perform analysis in Power BI
|
| Manage and Maintain Workspace Items | 10-15% | - Manage datasets
|
Microsoft Power BI Data Analyst (PL-300 Deutsch Version) Materials That Go Where You Go
- Visualize the Data (25-30%)
- Manage and Maintain Workspace Items (10-15%)
- Prepare the Data (10-15%)
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.
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.
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.
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.
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“.
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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