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This exam measures your ability to accomplish the following technical tasks: prepare the data; model the data; visualize and analyze the data; and deploy and maintain assets.
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Microsoft offers a wide range of certifications to enhance your knowledge in various areas of IT. The Microsoft Power BI Data Analyst Certification Exam is one of the most popular and sought-after Microsoft certification exams which aims to develop your skills as a data analyst by providing you with an opportunity to learn about basic business intelligence concepts, data analysis techniques and tools that can be used for building data models. Microsoft PL-300 Dumps are the best way to pass your exam.
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Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/pl-300
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Microsoft Power BI Data Analyst (PL-300 Deutsch Version) Sample Questions:
Sie haben die folgende Tabelle mit dem Namen Standort.
Die Spalte „GeoCode“ gibt das Land an, in dem sich der jeweilige Kunde befindet.
Sie erstellen eine Kartenvisualisierung wie in der Abbildung gezeigt.
Sie müssen sicherstellen, dass die Karte die Länderstandorte anzeigt.
Was sollten Sie tun?
- A. Füge der Tabelle „Standort“ eine Geoportal-Spalte hinzu.
- B. Ändern Sie den Datentyp der GeoCode-Spalte.
- C. Benennen Sie die Spalte „GeoCode“ in „Land“ um.
- D. Benennen Sie die Tabelle „Standort“ in „Land“ um.
- E. Ersetzen Sie die Werte in der Spalte GeoCode durch Postleitzahlen.
- F. Die Standardzusammenfassung der GeoCode-Spalte ändern.
Correct Answer: C 🗳️
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Sie haben einen Power BI-Bericht.
Sie planen, die Analysefunktion zu nutzen, um ungewöhnliche Verteilungen in Visualisierungen zu erklären. Sie müssen Erkenntnisse aus den Daten gewinnen. Was sollten Sie tun?
- A. Wählen Sie das Bild aus und anschließend in der Aktionsleiste „Einblicke erhalten“.
- B. Klicken Sie mit der rechten Maustaste auf einen Datenpunkt in einer Visualisierung und wählen Sie dann „Analysieren“.
- C. Erstellen Sie ein Streudiagramm und fügen Sie dann eine Trendlinie zum Diagramm hinzu.
- D. Erstellen Sie eine Prognose mithilfe des Analysebereichs.
Correct Answer: B 🗳️
Explanation: Only visible for VCE4Dumps members. You can sign-up / login (it's free).
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 eine Frage in diesem Abschnitt beantwortet haben, können Sie NICHT mehr dorthin zurückkehren. Daher werden diese Fragen nicht im Überprüfungsbildschirm angezeigt. Sie erstellen einen Parameter namens DataSourceExcel, der den Dateinamen und den Speicherort einer Microsoft Excel-Datenquelle enthält.
Sie müssen die Abfrage aktualisieren, um auf den Parameter zu verweisen, anstatt auf mehrere hartcodierte Kopien des Speicherorts in jeder Abfragedefinition.
Lösung: Im Power Query M-Code ersetzen Sie Verweise auf die Excel-Datei durch DataSourceExcel.
Erreicht dies das Ziel?
- A. Ja
- B. Nein
Correct Answer: A 🗳️
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Sie verwenden den Power Query-Editor, um die in der folgenden Abbildung dargestellte Abfrage zu überprüfen.
Correct Answer:
Explanation:
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. Use the selections preserved in the answer exhibit as the supported configuration. The relevant context is that you use power query editor to review the query shown in the following exhibit. A visual, measure, or model relationship cannot repair the incoming tabular shape; those features operate after the query result has already been loaded. This rationale is anchored to the PL-300 objective " 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
Sie haben in einem Power BI-Modell zwei Tabellen mit den Namen „Kunden“ und „Rechnung“. Die Tabelle „Kunden“ enthält die folgenden Felder:
Kunden-ID
Kundenstadt
Kundenstatus
Kundenname
Kundenadresse 1
Kundenadresse 2
Kundenpostleitzahl
Die Tabelle „Rechnung“ enthält folgende Felder:
Bestellnummer
Rechnungs-ID
Rechnungsdatum
Kunden-ID
Gesamtbetrag
Gesamtzahl der Artikel
Die Kundentabelle ist über die Spalten mit der Kunden-ID mit der Rechnungstabelle verknüpft. Ein Kunde kann innerhalb eines Monats mehrere Rechnungen erhalten.
Das Power BI-Modell muss folgende Informationen bereitstellen:
Die Anzahl der Kunden, denen im letzten Monat in jedem Bundesstaat eine Rechnung gestellt wurde.
Der durchschnittliche Rechnungsbetrag pro Kunde in jeder Postleitzahl
Sie müssen die Beziehung zwischen der Kundentabelle und der Rechnungstabelle definieren. Die Lösung muss die Abfrageleistung optimieren.
Was sollten Sie konfigurieren? Wählen Sie dazu die entsprechenden Optionen im Antwortbereich aus.
HINWEIS: Jede richtige Auswahl zählt als ein Punkt.
Correct Answer:
Explanation:
The technical decision turns on how to define the relationship from the Customers table to the Invoice table.
The solution must optimize query performance. 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 correct entries in the retained answer area are 1) One-to-many; 2) Single. The opposite cardinality or unnecessary bidirectional filtering can duplicate results, block propagation, or create ambiguity rather than solve the stated model path. Microsoft lists this skill in the current PL-300 outline as " 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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