100% Pass 2026 DP-900: Microsoft Azure Data Fundamentals–Valid Reliable Test Preparation

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Microsoft DP-900 Exam Syllabus Topics:

Section	Weight	Objectives
Describe considerations for working with non-relational data on Azure	15–20%	- 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. Consistency levels and partitioning 3. Capabilities and features - Describe Azure storage services 1. Queue Storage 2. Blob Storage 3. File Storage 4. Table Storage
Describe an analytics workload on Azure	25–30%	- Describe big data and analytics concepts 1. Modern data warehouse architecture 2. Data ingestion and processing 3. Data lakes and data warehouses - Describe data visualization 1. Power BI capabilities 2. Data models and reports - Describe real-time analytics 1. Azure Stream Analytics 2. Stream processing concepts - Describe Azure analytics services 1. Azure HDInsight 2. Azure Synapse Analytics 3. Azure Databricks 4. Microsoft Fabric 5. Azure Data Lake Storage Gen2
Describe core data concepts	25–30%	- Describe data workloads 1. Batch and streaming data 2. Analytical workloads 3. Transactional workloads - Describe types of data 1. File formats 2. Structured, semi-structured, and unstructured data - Describe roles and responsibilities 1. Data engineer, data analyst, database administrator
Identify considerations for relational data on Azure	20–25%	- Describe Azure relational data services 1. Azure SQL Database 2. SQL Server on Azure Virtual Machines 3. Azure SQL Managed Instance 4. Open-source databases: PostgreSQL, MySQL, MariaDB - Describe relational data concepts 1. Normalization 2. Query data with SQL 3. Relationships, keys, constraints

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Microsoft Azure Data Fundamentals Sample Questions (Q305-Q310):

NEW QUESTION # 305
To complete the sentence, select the appropriate option in the answer area.

Answer:

Explanation:

NEW QUESTION # 306
What are two uses of data visualization? Each correct answer present a complete solution.
NOTE: Each correct selection is worth one point.

A. implement machine learning to predict future values.
B. Consistently implement business logic across reports
C. Communicate the significance of data.
D. Represent trends and patterns over time.

Answer: A,D

Explanation:
Data visualization is a key component in being able to gain insight into your data. It helps make big and small data easier for humans to understand. It also makes it easier to detect patterns, trends, and outliers in groups of data.
Data visualization brings data to help you find key business insights quickly and effectively.

NEW QUESTION # 307
For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 308
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 309
Select the answer that correctly completes the sentence.

Answer:

Explanation:

NEW QUESTION # 310
......

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