Docker Certified Associate – Preparation & methodology
Preparing for the Docker Certified Associate (DCA) exam is an achievable goal with the right plan, focused practice, and high-quality mock exams.
Microsoft
Microsoft Azure Data Fundamentals
The DP-900 certification by Microsoft validates foundational knowledge in Azure data services.
Code examen
DP-900
Durée
60 min
Questions
60
Prérequis officiels
- Familiarity with basic cloud concepts, especially Azure services and deployment models.
- Understanding of core data concepts: relational vs non-relational, OLTP vs OLAP, transactions, normalization.
- Basic knowledge of querying relational data using SQL (SELECT, JOIN, GROUP BY).
- Awareness of data analytics fundamentals and common data workloads.
- Experience using the Azure portal for simple resource creation (recommended).
Professions ciblées
Data Engineer Data Analyst Database Administrator Business Analyst DeveloperDomaines clés
Le moteur de simulation d'ExamBoot est synchronisé avec le plan officiel de l'examen. Nos banques de questions adaptatives priorisent l'atteinte rapide de vos objectifs..
Explain different ways data can be represented (structured, semi-structured, unstructured); identify options for data storage including common file formats and database types; describe common data workloads (transactional vs analytical); and the roles and responsibilities for data workloads such as database administrators, data engineers, and data analysts.
Describe relational data concepts including features of relational data, normalization, common SQL statements and database objects; and describe relational Azure data services such as the Azure SQL family (Azure SQL Database, SQL Managed Instance, SQL Server on Azure VMs) and open-source database systems available on Azure.
Describe the capabilities of Azure storage (Blob, File, Table storage) and the features and use cases of Azure Cosmos DB including its APIs.
Describe common elements of large-scale analytics such as data ingestion and processing, analytical data stores, Microsoft cloud services for analytics (including Azure Databricks and Microsoft Fabric); real-time analytics considerations (batch vs streaming) and Microsoft cloud services for streaming; and data visualization in Power BI including data model features and choosing appropriate visualizations.
Conseil d'étude
Follow Microsoft's DP-900 learning path, do hands-on Azure labs, review sample questions, and memorize core relational, non-relational, and analytics concepts.
Blog
Dernières nouvelles du blog ExamBoot
Dernières nouvelles, guides pratiques et histoires de réussite des apprenants du blog ExamBoot
