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So, What Is the Verdict?
The Microsoft Certified: Azure Data Fundamentals validation pushes candidates to secure a job as a data engineer, data analyst, database administrator, and developer. All of these positions will come with massive earnings and diverse career prospects. But, obtaining this Microsoft designation is going to be tricky since candidates need to go through DP-900 exam. Still, because of countless books found on Amazon plus the endorsed Microsoft preparation program, toppling this exam will become a simple walk in the park!
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
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Retirement date: none
Prove that you can describe the following: core data concepts; how to work with relational data on Azure; how to work with non-relational data on Azure; and an analytics workload on Azure.
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Workload analytics on Azure
- Data visualization in Microsoft Power BI – this topic requires candidates to learn more about paginated reporting, dashboards, interactive reports, as well as workflow in Power BI.
- Elements of a modern data warehouse – this sub-section is focused on Azure data services related to modern data warehousing. In addition, applicants should be familiar with modern data warehousing workload and architecture.
- Date processing and ingestion on Azure – main topics within this subdomain include data loading common practices, Azure Data Factory components (activities, pipeline, etc.), and data processing.
- Analytics workloads – under this topic, candidates should learn more about transactional workloads as well as data warehousing workloads. Also, they have to get skilled in differentiating between an analytics and a transactional workload, know the difference between real and batch time, and be able to determining when a data warehouse solution is required.
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What requirements should you fulfill before taking the Microsoft DP-900 exam?
The candidates for this certification exam are those individuals who want to validate their foundational-level experience in working with data within Cloud. They should possess the basic knowledge and skills in the domain of core data concepts. They also need to have an understanding of how these are implemented with the use of Microsoft Azure data services.
The applicants do not have to fulfill any requirements to take the Microsoft DP-900 test or get the associated certification. However, they must be familiar with different concepts of non-relational and relational data. They should also know various types of data workloads that are available, including analytical and transactional. Additionally, the students must develop mastery of the exam topics before sitting for this test.
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Microsoft DP-900 Deutsch Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Describe considerations for working with non-relational data on Azure | 15–20% | - Describe non-relational data concepts
|
| Identify considerations for relational data on Azure | 20–25% | - Describe Azure relational data services
|
| Describe core data concepts | 25–30% | - Describe types of data
|
| Describe an analytics workload on Azure | 25–30% | - Describe big data and analytics concepts
|
Microsoft Azure Data Fundamentals (DP-900 Deutsch Version) Sample Questions:
Welche Speicherlösung unterstützt Zugriffskontrolllisten (ACLs) auf Datei- und Ordnerebene?
- A. Azure Blob Storage
- B. Azure-Warteschlangenspeicher
- C. Azure Cosmos DB
- D. Azure Data Lake-Speicher
Correct Answer: D 🗳️
Explanation: Only visible for ActualPDF members. You can sign-up / login (it's free).
Um den Satz zu vervollständigen, wählen Sie im Antwortbereich die entsprechende Option aus.
Correct Answer:
Sie haben eine SQL-Abfrage, die Kundendaten und Bestelldaten kombiniert. Die Abfrage enthält berechnete Spalten.
Sie müssen die SQL-Abfrage beibehalten, damit andere Benutzer die Abfrage verwenden können. Was solltest du erstellen?
- A. eine Tabelle
- B. Skalarfunktion
- C. eine Ansicht
- D. ein Index
Correct Answer: C 🗳️
Explanation: Only visible for ActualPDF members. You can sign-up / login (it's free).
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
Big data solutions often use long-running batch jobs to filter, aggregate, and otherwise prepare the data for analysis. Usually these jobs involve reading source files from scalable storage (like HDFS, Azure Data Lake Store, and Azure Storage), processing them, and writing the output to new files in scalable storage.
Box 2: No
Box 3: No
Reference:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/big-data/batch-processing
Welcher Tabellentyp enthält in einem analytischen Datenmodell Entitäten, die zum Aggregieren numerischer Werte verwendet werden, wobei jede Entität durch eine Zeile mit einem eindeutigen Schlüsselwert dargestellt wird?
- A. Dimension
- B. Brücke
- C. Tatsache
Correct Answer: C 🗳️
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