Data Engineering on Microsoft Azure (DP-203 Deutsch Version): DP-203 Exam


"Data Engineering on Microsoft Azure (DP-203 Deutsch Version)", also known as DP-203 exam, is a Microsoft Certification. With the complete collection of questions and answers, PrepAwayPDF has assembled to take you through 365 Q&As to your DP-203 Exam preparation. In the DP-203 exam resources, you will cover every field and category in Microsoft Certified: Azure Data Engineer Associate Certification helping to ready you for your successful Microsoft Certification.

  • Exam Code: DP-203
  • Exam Name: Data Engineering on Microsoft Azure (DP-203 Deutsch Version)
  • Total Questions: 365

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Microsoft DP-203 Deutsch Exam Overview:

Certification Vendor:Microsoft
Exam Name:Data Engineering on Microsoft Azure
Exam Number:DP-203
Exam Format:Multiple response, Case studies, Multiple choice, Drag and drop, Build list
Passing Score:700 (out of 1000)
Exam Price:$165 USD (varies by country/region)
Available Languages:Portuguese (Brazil), Spanish, Korean, Japanese, French, Chinese (Simplified), German, English
Certificate Validity Period:1 year (renewable through free online assessment)
Exam Duration:120 minutes
Related Certifications:Microsoft Certified: Azure Data Fundamentals (DP-900)
Microsoft Certified: Azure Solutions Architect Expert (AZ-305)
Real Exam Qty:40-60 (approx.)
Recommended Training:Microsoft Azure Data Engineer Associate Certification
Microsoft Learn DP-203 Learning Path
Exam Registration:Pearson VUE Registration
Microsoft Learn Certification Exam Page
Sample Questions: DOWNLOAD DEMO
Exam Way:Online proctored or in-person at authorized testing centers (Pearson VUE)
Pre Condition:No mandatory prerequisites. Recommended: familiarity with Azure data services, SQL, and basic data engineering concepts.
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/exams/dp-203/

Microsoft DP-203 Deutsch Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Monitor and optimize data solutions30-35%- Monitor data processing
  • 1. Monitor pipelines using Azure Monitor
    • 2. Troubleshoot data workflows
      - Optimize performance
      • 1. Optimize query performance in Synapse
        • 2. Optimize data storage performance
          Topic 2: Secure data solutions- Implement data security
          • 1. Implement encryption at rest and in transit
            • 2. Manage access control with Azure RBAC
              - Ensure compliance
              • 1. Use Microsoft Purview for governance
                Topic 3: Develop data processing40-45%- Ingest and transform data
                • 1. Use Azure Data Factory for pipelines
                  • 2. Implement stream processing solutions
                    • 3. Implement batch processing solutions
                      - Develop data transformation logic
                      • 1. Use Spark in Azure Databricks
                        • 2. Use SQL-based transformations
                          Topic 4: Design and implement data storage25-30%- Develop data storage solutions
                          • 1. Implement Azure Data Lake Storage solutions
                            • 2. Implement relational data stores (Azure SQL, Synapse)
                              • 3. Implement Azure Blob Storage solutions
                                - Design data storage structures
                                • 1. Design a data serialization format strategy
                                  • 2. Recommend appropriate storage accounts and services
                                    • 3. Design a data partitioning strategy

                                      Microsoft Data Engineering on Microsoft Azure (DP-203 Deutsch Version) Exam FAQ — Direct Answers

                                      No mandatory prerequisites. Recommended: familiarity with Azure data services, SQL, and basic data engineering concepts. Eligibility rules do change, so confirm the current requirements on the official page (official DP-203 Deutsch exam page) before booking.

                                      120 minutes for 40-60 (approx.) questions. Efficiency beats exhaustion: the PrepAwayPDF software version simulates the real test scene and scores your performance, so every practice hour moves you forward.

                                      Yes:

                                      Training gives knowledge direction; practice gives it proof. Follow courses with the 365 practice questions for the Microsoft Data Engineering on Microsoft Azure (DP-203 Deutsch Version) to measure real progress.

                                      Delivery and payment are both safe: we support credit card payment, your information is protected by a strict system, and the product emails automatically within a minute of purchase — unlimited devices, 7*24 support if nothing arrives within 2 hours. If you fail the corresponding DP-203 Deutsch exam within 60 days of purchase, we refund in full: provide a scanned enrollment slip plus the official Score Report PDF within 2 days of the exam, processed within 7 days. Excluded: exams within 3 days of purchase, candidate names that don't match the payer, and free or expired products. Or exchange for two equal-value products free.

                                      $165 USD (varies by country/region) per attempt, 700 (out of 1000) to pass. Since a retake costs the full fee, prepare with direction: the 365 practice questions from PrepAwayPDF focus your effort where the exam points are.

                                      The Microsoft Data Engineering on Microsoft Azure (DP-203 Deutsch Version) is Microsoft's certification exam for Microsoft Certified: Azure Data Engineer Associate, at the Associate level. It validates applied skills employers hire for — a credential worth the effort. Related credentials include Microsoft Certified: Azure Data Fundamentals (DP-900), Microsoft Certified: Azure Solutions Architect Expert (AZ-305).

                                      The Microsoft Data Engineering on Microsoft Azure (DP-203 Deutsch Version) blueprint covers 4 domains — including Secure data solutions, Monitor and optimize data solutions (30-35%), Develop data processing (40-45%). The weightings are your efficiency map: heavy domains first. Every subtopic appears in the outline above.

                                      Through the vendor's official registration channels:

                                      The Microsoft Data Engineering on Microsoft Azure (DP-203 Deutsch Version) is delivered Online proctored or in-person at authorized testing centers (Pearson VUE), so pick the arrangement that suits you when booking.

                                      Yes — download the free Microsoft Data Engineering on Microsoft Azure (DP-203 Deutsch Version) demo and judge the question quality before paying. Every purchase stays valid for 365 days with free updates throughout, renewable afterward at 50% off.

                                      Microsoft Data Engineering on Microsoft Azure (DP-203 Deutsch Version) Sample Questions:

                                      Sie verfügen über ein Azure Data Lake Storage Gen2-Konto mit dem Namen „konto1“, das Protokolle speichert, wie in der folgenden Tabelle gezeigt.

                                      Sie gehen nicht davon aus, dass während der Aufbewahrungsfristen auf die Protokolle zugegriffen wird.
                                      Sie müssen eine Lösung für Konto1 empfehlen, die die folgenden Anforderungen erfüllt:
                                      * Löscht die Protokolle automatisch am Ende jedes Aufbewahrungszeitraums
                                      * Minimiert Lagerkosten
                                      Was sollten Sie in die Empfehlung aufnehmen? Um zu antworten, wählen Sie im Antwortbereich die entsprechenden Optionen aus.
                                      HINWEIS: Jede richtige Auswahl ist einen Punkt wert.

                                      Reveal Solution  Discussion  0

                                      Correct Answer:


                                      Explanation:

                                      Box 1: Store the infrastructure logs in the Cool access tier and the application logs in the Archive access tier For infrastructure logs: Cool tier - An online tier optimized for storing data that is infrequently accessed or modified. Data in the cool tier should be stored for a minimum of 30 days. The cool tier has lower storage costs and higher access costs compared to the hot tier.
                                      For application logs: Archive tier - An offline tier optimized for storing data that is rarely accessed, and that has flexible latency requirements, on the order of hours. Data in the archive tier should be stored for a minimum of 180 days.
                                      Box 2: Azure Blob storage lifecycle management rules
                                      Blob storage lifecycle management offers a rule-based policy that you can use to transition your data to the desired access tier when your specified conditions are met. You can also use lifecycle management to expire data at the end of its life.
                                      Reference:
                                      https://docs.microsoft.com/en-us/azure/storage/blobs/access-tiers-overview

                                      Sie müssen eine Lösung erstellen, um sicherzustellen, dass Benutzer bestimmte Dateien in einem Azure Data Lake Storage Gen2-Konto aus einem serverlosen SQL-Pool von Azure Synapse Analytics abfragen können.
                                      Welche drei Aktionen sollten Sie nacheinander ausführen? Um zu antworten, verschieben Sie die entsprechenden Aktionen aus der Aktionsliste in den Antwortbereich und ordnen Sie sie in der richtigen Reihenfolge an.
                                      HINWEIS: Mehr als eine Reihenfolge der Antwortmöglichkeiten ist richtig. Sie erhalten eine Gutschrift für jede der korrekten Bestellungen, die Sie auswählen.

                                      Reveal Solution  Discussion  0

                                      Correct Answer:


                                      Explanation:

                                      Step 1: Create an external data source
                                      You can create external tables in Synapse SQL pools via the following steps:
                                      CREATE EXTERNAL DATA SOURCE to reference an external Azure storage and specify the credential that should be used to access the storage.
                                      CREATE EXTERNAL FILE FORMAT to describe format of CSV or Parquet files.
                                      CREATE EXTERNAL TABLE on top of the files placed on the data source with the same file format.
                                      Step 2: Create an external file format object
                                      Creating an external file format is a prerequisite for creating an external table.
                                      Step 3: Create an external table
                                      Reference:
                                      https://docs.microsoft.com/en-us/azure/synapse-analytics/sql/develop-tables-external-tables

                                      Sie verfügen über ein Azure-Abonnement, das eine Azure Data Factory enthält.
                                      Sie bearbeiten eine Azure Data Factory-Aktivitäts-JSON.
                                      Das Skript muss eine Datei aus Azure Blob Storage an mehrere Ziele kopieren. Die Lösung muss sicherstellen, dass die Quell- und Zieldateien über konsistente Ordnerpfade verfügen.
                                      Wie sollten Sie das Skript vervollständigen? Um die Frage zu beantworten, ziehen Sie die entsprechenden Werte an die richtigen Ziele. Jeder Wert kann einmal, mehrmals oder überhaupt nicht verwendet werden. Möglicherweise müssen Sie die Trennleiste zwischen den Bereichen ziehen oder scrollen, um den Inhalt anzuzeigen.
                                      HINWEIS: Jede richtige Auswahl ist einen Punkt wert

                                      Reveal Solution  Discussion  0

                                      Correct Answer:


                                      Explanation:

                                      Sie haben einen Trigger in Azure Data Factory wie in der folgenden Abbildung gezeigt konfiguriert.

                                      Verwenden Sie die Dropdown-Menüs, um die Antwortmöglichkeit auszuwählen, die jede Aussage basierend auf den in der Grafik dargestellten Informationen vervollständigt.

                                      Reveal Solution  Discussion  0

                                      Correct Answer:


                                      Explanation:

                                      Sie verfügen über ein Azure-Abonnement, das ein Speicherkonto enthält. Das Konto enthält einen Blobcontainer namens blob1 und einen serverlosen Azure Synapse Analytics-SQL-Pool.
                                      Sie müssen die in blob1 gespeicherten CSV-Dateien abfragen. Die Lösung muss sicherstellen, dass alle Dateien in einem Ordner mit dem Namen csv und allen seinen Unterordnern abgefragt werden.
                                      Wie müssen Sie die Abfrage ergänzen? Wählen Sie zur Beantwortung die entsprechenden Optionen im Antwortbereich aus.
                                      HINWEIS: Jede richtige Auswahl ist einen Punkt wert.

                                      Reveal Solution  Discussion  0

                                      Correct Answer:


                                      Explanation:
                                      A computer screen shot of a computer code Description automatically generated

                                      BULK Path (first dropdown):
                                      * Correct Option: abfs:
                                      * Since the storage account uses Azure Data Lake Storage Gen2, the abfs:// (Azure Blob File System) protocol is the correct option for accessing the files.
                                      Path to Query Files:
                                      * The path 'abfs://[email protected]/blob1/' specifies the container (blob1) and the folder (csv) within the storage account.
                                      * This ensures that all files in the csv folder and its subfolders are included in the query.
                                      FORMAT (last dropdown):
                                      * Correct Option: 'CSV'
                                      * This indicates that the queried files are in the CSV format, which matches the requirement in the question.

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