DP-900 Real Exam Questions
Microsoft Azure Data Fundamentals. Everything you need to prepare, practice, and pass.
193
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Exam Domains
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Certification Overview
The exam primarily covers a foundational understanding of core data concepts, including data roles and types. It delves into the considerations for working with both relational data and non-relational data within the Azure cloud environment, alongside an introduction to analytics workloads on Azure, focusing on conceptual knowledge rather than deep technical implementation.
What This Certification Proves
The Microsoft Azure Data Fundamentals (DP-900) certification validates a foundational understanding of core data concepts and how they are implemented using Microsoft Azure data services. It proves an individual's basic knowledge of relational, non-relational, and analytics data workloads on Azure, making it ideal for those starting their journey in cloud data.
Who Should Take This Exam
This exam is suitable for individuals with a foundational understanding of core data concepts, including those in non-technical roles like business analysts, technical project managers, or sales professionals. It's also an excellent starting point for students, developers, or IT professionals new to data on Azure seeking to validate basic cloud data knowledge.
Topic Breakdown
2 domains covering 2 questions
| Domain | Questions | Weight |
|---|---|---|
| Describe An Analytics Workload On Azure | 1 | 50% |
| Describe Considerations For Non-Relational Data On Azure | 1 | 50% |
Study Plans
Choose a study plan that matches your schedule and experience level
30 Days
Intensive Sprint
Week 1-2
- Master fundamentals: Describe An Analytics Workload On Azure
- Read Microsoft official documentation
- Complete 7 questions daily
Week 3
- Deep dive: Describe Considerations For Non-Relational Data On Azure
- Review weak areas from results
- Take 2 full-length exams
Week 4
- Review all flagged questions
- Timed exams to build stamina
- Final revision of key concepts
60 Days
Balanced Approach
Week 1-2
- Survey all exam domains
- Set up study environment
- Begin with foundational topics
Week 3-4
- Focus: Describe An Analytics Workload On Azure
- Focus: Describe Considerations For Non-Relational Data On Azure
- 4 questions daily
Week 5-6
- Focus: Remaining domains
- Hands-on labs if applicable
- Review explanations for wrong answers
Week 7-8
- Complete all 193 questions
- Identify and eliminate weak areas
- Take 3 full-length timed tests
90 Days
Comprehensive Study
Month 1
- Learn all exam domains at a comfortable pace
- Build strong foundational knowledge
- 3 questions daily
Month 2
- Deep dive into each domain
- Hands-on practice and labs
- Take weekly timed exams
Month 3
- Work through all 193 questions
- Identify and eliminate weak areas
- Take 3 full-length timed exams
DP-900-Specific Tips
- **Master Core Data Concepts**: Ensure a solid understanding of fundamental data roles, types of data (structured, semi-structured, unstructured), and data processing types (batch vs. streaming) as tested in the 'Describe core data concepts' domain.
- **Differentiate Relational and Non-Relational**: Clearly understand the characteristics, use cases, and advantages/disadvantages of relational vs. non-relational data models, crucial for the respective Azure domains.
- **Identify Azure Services by Data Type**: Familiarize yourself with the primary Azure services relevant to relational data (e.g., Azure SQL Database, Azure Database for MySQL/PostgreSQL) and non-relational data (e.g., Azure Cosmos DB, Azure Blob Storage, Azure Table Storage), knowing their core purpose and when to use them.
- **Understand Analytics Workload Basics**: Grasp the high-level components and flow of an analytics workload on Azure, including data ingestion, storage, processing, and visualization, and common services used (e.g., Azure Synapse Analytics, Azure Data Lake, Power BI).
- **Leverage Official Microsoft Learn Paths**: Utilize the free, structured learning paths provided by Microsoft for the DP-900 exam to cover all conceptual objectives comprehensively and efficiently.
- **Practice Conceptual Questions**: Focus on understanding 'what' and 'why' for each service and concept. The exam tests foundational knowledge and conceptual understanding rather than deep technical configuration or hands-on implementation.
- **Review Sample Scenarios**: Think through simple use cases for each data service and model to solidify your understanding of when to choose one over another for various data storage and processing needs.
Relevant Career Roles
Sample Questions
Try 5 free questions from the DP-900 question bank
You need to store data in Azure Blob storage for seven years to meet your company's compliance requirements. The retrieval time of the data is unimportant. The solution must minimize storage costs. Which storage tier should you use?
Your company needs to implement a relational database in Azure. The solution must minimize ongoing maintenance. Which Azure service should you use?
You have a transactional application that stores data in an Azure SQL managed instance. When should you implement a read-only database replica?
You need to implement an Azure platform as a service (PaaS) service that will host a relational database. The solution must support built-in autoscaling. Which service should you implement?
Which statement is an example of Data Definition Language (DDL)?
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