Prepare with latest Microsoft DP-900 Deutsch Pass-King Actual Torrent

Updated: Oct 18, 2026

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How to book the Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

  • Step 1: Visit Microsoft Learning and search for DP-900: Microsoft Azure fundamentals.
  • Step 2: Sign up/log in to the Pearson VUE account
  • Step 3: Select a local center based on your country, date, time and confirm with a payment method.

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900

Certification Paths Available

Upon earning Microsoft Certified: Azure Data Fundamentals, you will be able to advance your career to higher-level certifications. For instance, it can be a starting point for Microsoft Certified: Azure Data Engineer Associate or Microsoft Certified: Azure Database Administrator Associate. However, this fundamental accreditation is not a requirement for earning any of the next certificates. Therefore, all you have to do is to pass Microsoft DP-900 exam and prepare to face the real-world challenges as you advance in your career.

How to study the Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

The Microsoft official website, Microsoft offers a free learning resource, which is called the online learning portal. Automatic and adaptive and self-paced and interactive and targeted. Analytical and accurate and realistic and online and targeted, the candidates will increase their skills in Microsoft cloud technologies. Affiliate and present and online and available, the candidates will increase their skills in Microsoft cloud technologies. Meaningful and effective and available and interactive, the applicants will grow in expertise in Microsoft cloud technologies. Cut back on time spent studying, the candidates get to know Microsoft cloud technologies better. Hundreds of practice questions and hours of viewing the exam, the candidates get to know Microsoft cloud technologies better. Characteristics and assessment and quizzes and questions, the candidates get to know Microsoft cloud technologies better. Compare and contrast and objective and subjective, the candidates get to know Microsoft cloud technologies better. Microsoft DP-900 exam dumps is an important part of the exam. Applications and solutions and strategies and performance, the candidates get to fully utilize Microsoft cloud technology. Component and configuration and replication and Azure Site Recovery, the candidates will grow in proficiency in Microsoft cloud technology. Transaction and security and data loss and governance, the candidates will grow in proficiency in Microsoft cloud technology.

Walk through and detailed and comprehensive and accurate, Microsoft's cloud technology will improve the more candidates practice with it. Queries and databases and presentation and presentation, the candidates get to know Microsoft cloud technologies better.

Microsoft DP-900 Deutsch Exam Syllabus Topics:

SectionWeightObjectives
Identify considerations for relational data on Azure20–25%- Describe relational data concepts
  • 1. Normalization
    • 2. Query data with SQL
      • 3. Relationships, keys, constraints
        - Describe Azure relational data services
        • 1. SQL Server on Azure Virtual Machines
          • 2. Open-source databases: PostgreSQL, MySQL, MariaDB
            • 3. Azure SQL Managed Instance
              • 4. Azure SQL Database
                Describe considerations for working with non-relational data on Azure15–20%- Describe Azure storage services
                • 1. File Storage
                  • 2. Queue Storage
                    • 3. Table Storage
                      • 4. Blob Storage
                        - Describe non-relational data concepts
                        • 1. Characteristics of NoSQL data
                          • 2. Use cases for non-relational data
                            - Describe Azure Cosmos DB
                            • 1. APIs and data models
                              • 2. Capabilities and features
                                • 3. Consistency levels and partitioning
                                  Describe core data concepts25–30%- Describe roles and responsibilities
                                  • 1. Data engineer, data analyst, database administrator
                                    - Describe types of data
                                    • 1. Structured, semi-structured, and unstructured data
                                      • 2. File formats
                                        - Describe data workloads
                                        • 1. Batch and streaming data
                                          • 2. Analytical workloads
                                            • 3. Transactional workloads
                                              Describe an analytics workload on Azure25–30%- Describe Azure analytics services
                                              • 1. Azure Synapse Analytics
                                                • 2. Azure HDInsight
                                                  • 3. Microsoft Fabric
                                                    • 4. Azure Data Lake Storage Gen2
                                                      • 5. Azure Databricks
                                                        - Describe data visualization
                                                        • 1. Power BI capabilities
                                                          • 2. Data models and reports
                                                            - Describe real-time analytics
                                                            • 1. Stream processing concepts
                                                              • 2. Azure Stream Analytics
                                                                - Describe big data and analytics concepts
                                                                • 1. Modern data warehouse architecture
                                                                  • 2. Data lakes and data warehouses
                                                                    • 3. Data ingestion and processing

                                                                      Microsoft Azure Data Fundamentals (DP-900 Deutsch Version) Sample Questions:

                                                                      Question #1

                                                                      Wählen Sie die Antwort aus, die den Satz richtig vervollständigt.

                                                                      Reveal Solution  Discussion  0

                                                                      Correct Answer:


                                                                      Question #2

                                                                      Sie haben die folgende T-SQL-Anweisung.

                                                                      Welche Funktion hat die ON-Klausel?

                                                                      • A. Daten in der Kundentabelle aktualisieren
                                                                      • B. Daten in der Kundentabelle mit Daten in der Bestelltabelle abgleichen
                                                                      • C. einen Alias ​​für die Kundentabelle definieren.
                                                                      • D. Daten in der Bestelltabelle aktualisieren
                                                                      Reveal Solution  Discussion  0

                                                                      Correct Answer: B  🗳️

                                                                      Question #3

                                                                      Wählen Sie die Antwort aus, die den Satz richtig vervollständigt.

                                                                      Reveal Solution  Discussion  0

                                                                      Correct Answer:


                                                                      Question #4

                                                                      Sie müssen die Daten mithilfe von Azure Databricks analysieren.
                                                                      Welche zwei Möglichkeiten gibt es, das Ziel zu erreichen? Jede richtige Antwort stellt eine vollständige Lösung dar. HINWEIS: Jede richtige Auswahl ist einen Punkt wert.

                                                                      • A. Erstellen Sie einen Datenfluss in Azure Data Factory.
                                                                      • B. Erstellen einer Azure Data Factory-Pipeline.
                                                                      • C. Erstellt einen Apache Spark-Job, der in einem Spark-Cluster ausgeführt wird.
                                                                      • D. Verwenden Sie einen Apache Spark-Job zur Verarbeitung von Daten, die in einer Azure Cosmos DB-Datenbank gespeichert sind.
                                                                      • E. Erstellen Sie einen Microsoft Power BI-Bericht.
                                                                      Reveal Solution  Discussion  0

                                                                      Correct Answer: C,D  🗳️

                                                                      Question #5

                                                                      Wählen Sie die Antwort aus, die den Satz richtig vervollständigt.

                                                                      Reveal Solution  Discussion  0

                                                                      Correct Answer:


                                                                      Explanation:
                                                                      CSV
                                                                      CSV (Comma-separated values): This is a text file format that uses commas (,) as column delimiters and carriage returns (\r\n) as row delimiters. CSV files are widely used for exchanging data between different applications and platforms123.

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