Great material deserves great service: free demo, instant delivery, a support team you can consult online anytime, 365 days of free updates, and a money back guarantee with published conditions. That full after-sales experience wraps around 340 practice questions for the DP-900 Deutsch exam at LatestCram — your complete Microsoft Azure Data Fundamentals (DP-900 Deutsch Version) toolkit.
Microsoft DP-900 Deutsch Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Relational Data in Azure | 20-25% | - Querying relational data - Azure relational data services
|
| Analytics Workloads in Azure | 25-30% | - Data ingestion and processing - Data analytics concepts - Data visualization and reporting - Azure analytics services
|
| Non-Relational Data in Azure | 15-20% | - Non-relational data concepts - Azure storage services
|
| Core Data Concepts | 25-30% | - Types of core data workloads - Data analytics workloads overview - Roles and responsibilities in data work - Relational vs non-relational data |
Microsoft Azure Data Fundamentals (DP-900 Deutsch Version): Real Questions, Straight Answers
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No prerequisites required; intended for beginners in data concepts and Azure services.
Vendor criteria change over time, so before committing to an exam date, confirm the current requirements on the official Microsoft exam page.
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You will answer 40-60 questions within 45-60 on the DP-900 Deutsch exam. That is a deliberate pace with little slack, which is why untimed practice only gets you halfway. Use the LatestCram desktop or online test engine for full-length timed mocks, learn to flag-and-return instead of digging in, and arrive with a pacing rhythm you have already proven.
Registration for the Microsoft Azure Data Fundamentals (DP-900 Deutsch Version) runs through the official channels below:
One detail for scheduling: the DP-900 Deutsch exam is delivered Online proctored exam via Pearson VUE or in-person test center — choose accordingly when you book.
The Microsoft Azure Data Fundamentals (DP-900 Deutsch Version) syllabus spans 4 domains, starting with Non-Relational Data in Azure (15-20%), Relational Data in Azure (20-25%), and Core Data Concepts (25-30%). The full weighted outline is in the syllabus section above — read it before you allocate a single study hour.
The DP-900 Deutsch exam — full name Microsoft Azure Data Fundamentals (DP-900 Deutsch Version) — is Microsoft's own measure of whether you can work with its technologies at a professional standard. Passing awards the Microsoft Certified: Azure Data Fundamentals certification, a credential at the Fundamentals level. For anyone making an informed career move, that vendor-backed proof is the kind of signal that shortens interviews. It also connects to Microsoft Certified: Azure Database Administrator Associate, Microsoft Certified: Azure Data Engineer Associate, Microsoft Certified: Azure AI Engineer Associate as natural next steps.
Passing the DP-900 Deutsch exam requires 700 (out of 1000), and official registration costs 99 USD (varies by country/region). That fee buys one attempt only — a retake is billed again in full, no exceptions. The economical play is to rehearse first: drill 340 practice questions at LatestCram under timed conditions until the passing mark sits comfortably behind you, then register.
Microsoft recommends these training resources for the Microsoft Azure Data Fundamentals (DP-900 Deutsch Version):
Courses supply the knowledge; repetition under exam conditions supplies the readiness. Pair either option with 340 practice questions from LatestCram and your preparation covers both.
Microsoft Azure Data Fundamentals (DP-900 Deutsch Version) Sample Questions:
Wählen Sie für jede der folgenden Aussagen „Ja“, wenn sie wahr ist. Andernfalls wählen Sie „Nein“. HINWEIS: Jede richtige Antwort ist einen Punkt wert.
Correct Answer:


Reference:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/relational-data/etl
Wählen Sie für jede der folgenden Aussagen „Ja“, wenn sie wahr ist. Andernfalls wählen Sie „Nein“. HINWEIS: Jede richtige Antwort ist einen Punkt wert.
Correct Answer:

Explanation:
Box 1: Yes
Azure Databricks can consume data from SQL Databases using JDBC and from SQL Databases using the Apache Spark connector.
The Apache Spark connector for Azure SQL Database and SQL Server enables these databases to act as input data sources and output data sinks for Apache Spark jobs.
Box 2: Yes
You can stream data into Azure Databricks using Event Hubs.
Box 3: Yes
You can run Spark jobs with data stored in Azure Cosmos DB using the Cosmos DB Spark connector.
Cosmos can be used for batch and stream processing, and as a serving layer for low latency access.
You can use the connector with Azure Databricks or Azure HDInsight, which provide managed Spark clusters on Azure.
Reference:
https://docs.microsoft.com/en-us/azure/databricks/data/data-sources/sql-databases-azure
https://docs.microsoft.com/en-us/azure/databricks/scenarios/databricks-stream-from-eventhubs
Sie verfügen über eine SQL-Abfrage, die Kundendaten und Bestelldaten kombiniert. Die Abfrage enthält berechnete Spalten.
Sie müssen ein Datenbankobjekt erstellen, das es anderen Benutzern ermöglicht, dieselbe SQL-Abfrage erneut auszuführen.
Was sollten Sie erstellen?
- A. eine Ansicht
- B. eine Tabelle
- C. ein Index
- D. eine Skalarfunktion
Correct Answer: A 🗳️
Ordnen Sie die Aktivitätstypen den entsprechenden Azure Data Factory-Aktivitäten zu.
Um diese Frage zu beantworten, ziehen Sie den entsprechenden Aktivitätstyp aus der linken Spalte in die Data Factory-Aktivität rechts. Jeder Aktivitätstyp kann einmal, mehrmals oder gar nicht verwendet werden.
HINWEIS: Jede richtige Übereinstimmung ist einen Punkt wert.
Correct Answer:


Reference:
https://docs.microsoft.com/en-us/azure/data-factory/concepts-pipelines-activities#data-transformation-activities
Ordnen Sie die Azure Data Factory-Komponenten den entsprechenden Beschreibungen zu.
Um diese Frage zu beantworten, ziehen Sie die entsprechende Komponente aus der linken Spalte in die entsprechende Beschreibung auf der rechten Seite. Jede Komponente kann einmal, mehrmals oder gar nicht verwendet werden.
HINWEIS: Jede richtige Übereinstimmung ist einen Punkt wert.
Correct Answer:

Explanation:
Box 1: Dataset
Datasets must be created from paths in Azure datastores or public web URLs, for the data to be accessible by Azure Machine Learning.
Box 2: Linked service
Linked services are much like connection strings, which define the connection information needed for Data Factory to connect to external resources.
Box 3: Pipeline
A pipeline is a logical grouping of activities that together perform a task.
Reference:
https://k21academy.com/microsoft-azure/dp-100/datastores-and-datasets-in-azure/
https://docs.microsoft.com/en-us/azure/data-factory/concepts-linked-services
https://docs.microsoft.com/en-us/azure/data-factory/concepts-pipelines-activities
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