Microsoft DA-100 Deutsch Valid Dump : Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version)

DA-100 Deutsch real exams

Exam Code: DA-100-Deutsch

Exam Name: Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version)

Updated: Sep 19, 2026

Q & A: 150 Questions and Answers

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Microsoft DA-100 Deutsch Exam Overview:

Certification Vendor:Microsoft
Exam Name:Analyzing Data with Microsoft Power BI
Exam Number:DA-100
Related Certifications:Microsoft Certified: Data Analyst Associate
Certificate Validity Period:Certification valid for one year, renewable
Real Exam Qty:40-60
Exam Duration:120 minutes
Exam Price:USD 165
Passing Score:700
Exam Format:Build list, Multiple choice, Drag and drop, Multiple response, Case study
Available Languages:Spanish, Korean, German, French, English, Italian, Arabic (Saudi Arabia), Portuguese (Brazil), Japanese, Chinese (Traditional), Chinese (Simplified)
Sample Questions:Free Download DA-100 Deutsch valid dump
Exam Way:Online (proctored) or Onsite at a Pearson VUE testing center
Pre Condition:Familiarity with data concepts and experience with data analysis
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/data-analyst-associate/

Microsoft DA-100 Deutsch Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Deploy and maintain deliverables10%- Manage datasets
  • 1. Configure row-level security group membership
  • 2. Configure cross-workspace sharing
  • 3. Configure a dataset scheduled refresh
  • 4. Provide access to datasets
- Create and manage workspaces
  • 1. Create and configure a workspace
  • 2. Configure and update a workspace app
  • 3. Assign workspace roles
Topic 2: Model the data30%- Design a data model
  • 1. Define quick measures
  • 2. Define the tables
  • 3. Design and implement role-playing dimensions
  • 4. Configure table and column properties
  • 5. Define a relationship's cross-filter direction and security filtering
- Optimize model performance
  • 1. Optimize Power Query transformations
  • 2. Improve performance by identifying and removing unnecessary rows and columns
  • 3. Improve performance by choosing optimal data types
- Create measures by using DAX
  • 1. Implement Time Intelligence using DAX
  • 2. Create semi-additive measures
  • 3. Use DAX aggregation functions
  • 4. Create calculated measures
  • 5. Use DAX logical functions
- Develop a data model
  • 1. Create calculated tables
  • 2. Create calculated columns
  • 3. Implement row-level security roles
  • 4. Create hierarchies
Topic 3: Visualize the data25%- Enforce accessibility
  • 1. Design accessible reports
  • 2. Configure tab order
  • 3. Use accessibility features
- Create dashboards
  • 1. Manage tiles on a dashboard
  • 2. Use the Q&A feature
  • 3. Set mobile view
  • 4. Configure data alerts
- Create reports
  • 1. Create and manage bookmarks
  • 2. Import a custom visual
  • 3. Format and configure visualizations
  • 4. Add visualization items to reports
  • 5. Apply slicing and filtering
  • 6. Configure conditional formatting
  • 7. Choose an appropriate visualization type
Topic 4: Prepare the data20%- Get data from different data sources
  • 1. Change data source settings
  • 2. Select a storage mode
  • 3. Choose an appropriate Power BI data source
  • 4. Select a shared dataset or create a local dataset
  • 5. Identify and connect to a data source
- Profile the data
  • 1. Interpret data distribution and variance
  • 2. Identify data anomalies
  • 3. Examine data structures
- Transform and load the data
  • 1. Create and transform tables
  • 2. Create and transform columns
  • 3. Select appropriate column data types
  • 4. Define relationship cardinality and cross-filter direction
  • 5. Design a star schema
- Clean the data
  • 1. Resolve data import errors
  • 2. Resolve inconsistencies, unexpected or null values, and data quality issues
  • 3. Evaluate data, including data statistics and column properties
Topic 5: Analyze the data15%- Perform advanced analysis
  • 1. Use the Analyze feature
  • 2. Perform What-if analysis
  • 3. Use advanced analytical custom visuals
  • 4. Identify outliers
- Enhance reports for usability and storytelling
  • 1. Group and layer visuals
  • 2. Configure sync slicers
  • 3. Configure bookmarks
  • 4. Create custom tooltips
  • 5. Configure navigation for a report
  • 6. Apply sorting
  • 7. Edit and configure interactions between visuals

Microsoft Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version) (DA-100 Deutsch) — Questions Candidates Actually Ask

The DA-100 Deutsch exam, officially known as Microsoft Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version), is the Microsoft test that leads to the Microsoft Certified: Data Analyst Associate certification at the Associate level. Passing it validates the skills employers expect from a certified professional. It is also associated with related credentials such as Microsoft Certified: Data Analyst Associate.

The DA-100 Deutsch exam contains 40-60 questions, and you have 120 minutes to complete them. Work out your per-question pace before test day, and flag slow items instead of stalling on them — time pressure, not knowledge, sinks many first attempts. Timed mock exams in the Actual4Exams test engines are the most reliable way to build that rhythm.

The passing score for the DA-100 Deutsch exam is 700, and the official registration fee is USD 165. If you miss the mark, a retake means paying the full fee again, so book your seat only when you are ready. A practical benchmark: score consistently above the passing line on timed practice tests before scheduling the real exam.

Familiarity with data concepts and experience with data analysis

Entry requirements can change, so confirm the latest conditions on the official exam page: https://learn.microsoft.com/en-us/credentials/certifications/data-analyst-associate/.

Yes. A free PDF demo of the Microsoft Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version) questions is available, so you can check the question style and answer quality before you pay. Every purchase also includes 365 days of free updates, and if the product expires you can renew the update service at a 50% discount from your member zone.

If you take the corresponding DA-100 Deutsch exam within 60 days of purchase and do not pass, you can apply for a full refund under the 100% Money Back Guarantee: submit a scan of your enrollment slip and your official Score Report (PDF) within 2 days of the exam date, and the claim is processed within 7 days. Attempts made within 3 days of purchase, downloads without an actual exam attempt, free materials, and expired orders are not eligible, and the candidate name must match the payer name. Prefer new material instead of a refund? You can exchange your purchase for two free products of equal value and keep the update service on your original product. As for delivery, the files are available for instant download and are also emailed to you within one minute of payment — if nothing arrives within 2 hours, contact customer service. There is no limit on how many computers you can install the product on.

The official Microsoft Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version) outline is organized into 5 domains. The first three are:

  • Deploy and maintain deliverables — 10% of the exam
  • Prepare the data — 20% of the exam
  • Model the data — 30% of the exam

See the complete exam topics section above for the full outline and the weighting of every domain.

Microsoft Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version) Sample Questions:

Question #1

Sie haben ein Verkaufssystem, das die in der folgenden Tabelle aufgeführten Tabellen enthält.

Die Datumstabelle ist als Datumstabelle gekennzeichnet.
DateD ist der Datumsdatentyp. Sie müssen eine prozentuale Kennzahl für das jährliche Umsatzwachstum erstellen.
Welchen DAX-Ausdruck sollten Sie verwenden?

  • A. CALCULATE(SUM(Umsatz[Umsatz_Betrag]), DATESYTD('Datum'[Datums-ID]))
  • B. (SUM('Sales'[Sales_Amount]) - CALCULATE(SUM('Sales'[Sales_Amount]), SAMEPERIODLASTYEAR('Date'[DateID])))
    / CALCULATE(SUM('Sales'[sales_amount]), SAMEPERIODLASTYEAR('Date'[DateID]))
  • C. SUM(Sales[Sales_Amount]) - CALCULATE(SUM(Sales[Sales_Amount]), SAMEPERIODLASTYEAR('Date'[DateID])
  • D. CALCULATE(SUM(sales[sales_amount]), SAMEPERIODLASTYEAR('Date'[DateID]))
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Explanation: Only visible for Actual4Exams members. You can sign-up / login (it's free).

Question #2

Sie müssen das Datenmodell so entwerfen, dass es die Berichtsanforderungen erfüllt.
Was sollten Sie in Power BI Desktop tun?

  • A. Fügen Sie aus Power Query Spalten zur Orders-Tabelle hinzu, um das Kalenderquartal und den Kalendermonat der OrderDate-Spalte zu berechnen.
  • B. Verwenden Sie in Power Query einen DAX-Ausdruck, um der Orders-Tabelle Spalten hinzuzufügen, um das Kalenderquartal der OrderDate-Spalte, den Kalendermonat der OrderDate-Spalte, das Kalenderquartal der ShippedDate-Spalte und den Kalendermonat von . zu berechnen die Spalte Versanddatum.
  • C. Verwenden Sie in Power Bl Desktop die Option Automatisches Datum/Uhrzeit beim Erstellen der Berichte.
  • D. Fügen Sie aus Power Query eine Datumstabelle hinzu. Erstellen Sie eine aktive Beziehung zur Spalte "OrderDate" in der Tabelle "Orders" und eine inaktive Beziehung zur Spalte "ShippedDate" in der Tabelle "Orders".
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #3

Sie haben eine Tabelle, die die folgenden drei Spalten enthält:
* Stadt
* Gesamtumsatz
* Beruf
Sie müssen eine Visualisierung der wichtigsten Einflussfaktoren erstellen, wie in der Ausstellung gezeigt. (Klicken Sie auf die Registerkarte Ausstellung.)

Wie ist die Visualisierung zu konfigurieren? Wählen Sie zum Antworten die entsprechenden Optionen im Antwortbereich aus.
HINWEIS: Jede richtige Auswahl ist einen Punkt wert.

Reveal Solution  Discussion  0

Correct Answer:


Reference:
https://docs.microsoft.com/en-us/power-bi/visuals/power-bi-visualization-influencers

Question #4

Sie verfügen über ein Microsoft Power BI-Datenmodell, das drei Tabellen mit den Namen Orders, Date und City enthält. Zwischen Date und Orders und zwischen City und Orders besteht eine Eins-zu-Viele-Beziehung.
Das Modell enthält zwei Sicherheitsrollen auf Zeilenebene (RLS) mit den Namen Role1 und Role2. Rolle1 enthält den folgenden Filter.
Stadt[Bundesstaat Provinz] = "Kentucky"
Rolle2 enthält den folgenden Filter.
Datum[Kalenderjahr] = 2020
Wenn ein Benutzer Mitglied von Rolle1 und Rolle2 ist, welche Daten werden dann in einem Bericht angezeigt, der das Modell verwendet?

  • A. Der Benutzer sieht Daten, für die der Wert der Bundesstaat Provinz Kentucky und das Kalenderjahr 2020 ist.
  • B. Der Benutzer sieht nur Daten, für die der Wert der Bundesstaat Provinz Kentucky ist.
  • C. Der Benutzer erhält eine Fehlermeldung und kann die Daten im Bericht nicht sehen.
  • D. Der Benutzer sieht Daten, für die der Wert der Bundesstaat Provinz Kentucky oder das Kalenderjahr 2020 ist.
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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Question #5

Sie müssen eine berechnete Spalte erstellen, um den Monat basierend auf den Berichtsanforderungen anzuzeigen. Welchen DAX-Ausdruck sollten Sie verwenden?

  • A. FORMAT('Date'[date], "MMM YYYY")
  • B. FORMAT('Date' [date_id], "MMM YYYY")
  • C. FORMAT('Date' [date], "M YY")
  • D. FORMAT('Date'[date_id], "MMM") & "" & FORMAT('Date'[year], "#")
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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