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The need for this exam has increased tremendously over the years. As more people start using technology, there is a greater need for more professionals who can help them with their problems. With the increasing demand for people with these skills, it will be difficult for you to get a job without having one. If you want to succeed in your career, you should consider taking this test because it will give you an edge over other candidates who do not have it. It will also help you stand out from the crowd if you are applying for jobs online or even if you are looking for promotion within your company. Column data types have questions and answers subcategories for real time scenario. Sample questions about data source settings have calculated columns mobile view. Quick measure mode filters the app syllabus to practice the average sales. If you are feeling sensitive to additives in your food, you may want to format your schema prepared environment to be more additive-sensitive. This could involve avoiding foods that contain additives, eating organic foods whenever possible, or using natural sweeteners.

Microsoft PL-300 Deutsch Exam Syllabus Topics:

Section	Weight	Objectives
Model the Data	25-30%	- Optimize model performance 1. Optimize DirectQuery models 2. Configure aggregations 3. Optimize Dax queries 4. Validate performance and resolve issues 5. Improve user experience by hiding objects - Create measures and DAX calculations 1. Use CALCULATE and FILTER functions 2. Use Time Intelligence functions 3. Create semi-additive measures 4. Implement context transition 5. Write and use basic DAX syntax 6. Create calculated measures - Develop the data model 1. Use the calculation group feature 2. Configure table relationships 3. Build hierarchies and hierarchical fields 4. Implement row-level security roles 5. Create common date tables 6. Create calculated tables and columns - Design a data model 1. Define tables and table schemas 2. Implement row-level security 3. Resolve performance issues with relationships 4. Design a star schema or snowflake schema 5. Apply field metadata and groupings 6. Determine the appropriate granularity
Visualize the Data	25-30%	- 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. Apply AI insights and enhanced analytics 5. Configure data colors and shapes 6. Determine the appropriate visual type - Enhance reports for user experience 1. Design for mobile and specific layouts 2. Add accessibility features and compliance 3. Apply artistic formatting to visuals 4. Add tooltips and navigation - Enrich reports with advanced visuals 1. Use dynamic page navigation 2. Configure R and Python visuals 3. Integrate Microsoft Copilot for Power BI 4. Create custom visuals
Manage and Maintain Workspace Items	10-15%	- Manage datasets 1. Configure dataset metadata and properties 2. Manage dataset refresh scheduling 3. Manage gateways and data sources 4. Resolve dataset permission issues - Create and manage workspaces 1. Configure workspace membership and roles 2. Publish and update a Power BI app 3. Configure content certification 4. Endorse sensitive content with sensitivity labels
Prepare the Data	10-15%	- Get data from various data sources 1. Select a shared dataset or create a local copy 2. Identify and connect to a data source 3. Configure dataset refresh 4. Choose between DirectQuery, Import, and Dual storage modes 5. Change data source settings 6. Use Microsoft Fabric and OneLake - Clean, transform, and load the data 1. Determine proper data types 2. Apply user-friendly naming conventions to columns and tables 3. Profile the data 4. Identify the data structure 5. Configure data loading and queries 6. Resolve data quality issues 7. Design and build intermediate tables
Analyze the Data	10-15%	- Perform analysis in Power BI 1. Use the Q&A visual 2. Configure auto-insights 3. Apply Quick Insights 4. Identify patterns and trends 5. Generate Pinn visual insights - Work with metrics in Power BI 1. Track goals with scorecards 2. Define and monitor KPIs 3. Create metrics using Microsoft measurements 4. Use the Decomposition Tree visual

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

Question #1
Welche zwei Visualisierungsarten können in Bilanzberichten verwendet werden, um die Berichtsziele zu erreichen? Jede richtige Antwort stellt einen Teil der Lösung dar.
HINWEIS: Jede richtige Auswahl zählt als ein Punkt.

A. ein gruppiertes Säulendiagramm, das die Salden nach Quartalen gefiltert nach Kontokategorien anzeigt, die langfristige Verbindlichkeiten darstellen.
B. ein Ribbon-Diagramm, das die Salden nach Quartal und Konten in der Legende anzeigt.
C. ein gruppiertes Säulendiagramm, das die Salden nach Datum (x-Achse) und Kontokategorie (Legende) ohne Filter anzeigt.
D. ein Liniendiagramm, das die Salden nach Quartalen gefiltert nach Kontokategorien anzeigt, die langfristige Verbindlichkeiten darstellen.
E. ein Tortendiagramm, das die Salden nach Kontokategorie ohne Filter anzeigt.

Question #2
Sie haben eine CSV-Datei, die Benutzerbeschwerden enthält. Die Datei enthält eine Spalte mit dem Namen Protokolliert protokolliert enthält das Datum und die Uhrzeit jeder aufgetretenen Beschwerde. Die Daten in Logged haben folgendes Format: 31.12.2018 um 08:59 Uhr.
Sie müssen in der Lage sein, die Beschwerden anhand des protokollierten Datums zu analysieren und eine integrierte Datumshierarchie zu verwenden.
Was tun?

A. Erstellen Sie eine Beispielspalte, die mit 2018-12-31 beginnt.
B. Erstellen Sie eine Beispielspalte, die mit 2018-12-31 beginnt, und legen Sie den Datentyp der neuen Spalte auf Datum fest
C. Wenden Sie die Parsing-Funktion aus den Datumstransformationsoptionen auf die Spalte Logged an.
D. Fügen Sie eine bedingte Spalte hinzu, die 2018 ausgibt, wenn die Spalte Logged mit 2018 beginnt, und legen Sie den Datentyp der neuen Spalte auf Ganze Zahl fest.

Question #3
Sie haben eine Datenquelle mit einer gemeinsamen Spalte. Diese Spalte enthält Datumsangaben, bei denen Groß- und Kleinschreibung beachtet werden muss. Sie verwenden ein semantisches Power BI-Modell im DirectQuery-Modus. Nach der Verbindung zum Modell stellen Sie fest, dass es undefinierte Werte und Fehler enthält. Sie müssen dieses Problem beheben.
Lösung: Sie fügen einen Indexschlüssel hinzu und normalisieren die Groß-/Kleinschreibung in der Datenquelle.
Wird damit das Ziel erreicht?

A. Ja
B. Nein

Question #4
Sie haben einen Power BI-Bericht.
Sie müssen eine berechnete Tabelle erstellen, die die 100 Kunden mit den höchsten Ausgaben zurückgibt.
Wie sollten Sie den DAX-Ausdruck vervollständigen? Wählen Sie dazu die entsprechenden Optionen im Antwortbereich aus.
HINWEIS: Jede richtige Auswahl zählt als ein Punkt.

Question #5
Sie verwenden den Power Query-Editor, um eine Vorschau der Daten in einer Spalte mit dem Namen „Ressourcenstandort“ anzuzeigen.
Die Spaltenstatistik und Werteverteilungen von Resource Location werden in der folgenden Abbildung dargestellt.

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.