Microsoft DP 900 Azure Data Fundamentals Dumps 2025

For A Full Set of 1245 questions.  
Go to https://dumpsarena.co/microsoft-dumps/dp-900/ 
Dumpsarena offers detailed explanations to each question which helps to understand the concepts better.  
It is recommended to score above 85% in Dumpsarena exams before attempting a real exam.  
Dumpsarena updates exam questions every 2 weeks.  
You will get life time access and life time free updates Dumpsarena assures 100% pass guarantee in first attempt.

Here are 10 multiple-choice review questions with explanations for the Microsoft DP 900 Azure Data Fundamentals dumps:

1. Which Azure service is a fully managed NoSQL database for JSON documents?

A) Azure SQL Database

B) Azure Cosmos DB

C) Azure Blob Storage

D) Azure Data Lake Storage✅ Answer: B) Azure Cosmos DB

📌 Explanation: Azure Cosmos DB is a globally distributed, multi-model database service that supports NoSQL workloads, including document storage (JSON).

https://dumpsarena.co/microsoft-dumps/dp-900/

2. What is the primary use case for Azure Data Lake Storage Gen2?

A) Storing relational data

B) Running real-time analytics on large-scale unstructured data

C) Hosting virtual machines

D) Managing DNS records✅ Answer: B) Running real-time analytics on large-scale unstructured data

📌 Explanation: Azure Data Lake Storage Gen2 is optimized for big data analytics and supports hierarchical namespace for efficient file storage.

3. Which Azure service provides a serverless SQL query engine to analyze data in Azure Blob Storage?

A) Azure Synapse Analytics

B) Azure Data Factory

C) Azure Databricks

D) Azure HDInsight✅ Answer: A) Azure Synapse Analytics

📌 Explanation: Azure Synapse Analytics includes a serverless SQL pool that allows querying data directly from Azure Blob Storage or Data Lake.

4. What is PolyBase in Azure Synapse Analytics used for?

A) Data encryption

B) Querying external data without moving it

C) Virtual network isolation

D) Backup and restore✅ Answer: B) Querying external data without moving it

📌 Explanation: PolyBase enables querying data stored in external sources (e.g., Hadoop, Blob Storage) without importing it into the database.

5. Which Azure service is best for real-time data ingestion from IoT devices?

A) Azure SQL Database

B) Azure Event Hubs

C) Azure Table Storage

D) Azure Data Factory✅ Answer: B) Azure Event Hubs

📌 Explanation: Azure Event Hubs is designed for high-throughput, real-time data streaming, making it ideal for IoT scenarios.

https://681c4760dd63c.site123.me/

6. What does ETL stand for in data processing?

A) Extract, Transform, Load

B) Encrypt, Transfer, Log

C) Export, Tag, Locate

D) Evaluate, Test, Loop✅ Answer: A) Extract, Transform, Load

📌 Explanation: ETL refers to extracting data from sources, transforming it, and loading it into a destination (e.g., a data warehouse).

https://www.instagram.com/dumpsarena/

7. Which Azure service is a fully managed data warehouse solution?

A) Azure Cosmos DB

B) Azure SQL Database

C) Azure Synapse Analytics (dedicated SQL pool)

D) Azure Redis Cache✅ Answer: C) Azure Synapse Analytics (dedicated SQL pool)

📌 Explanation: The dedicated SQL pool in Azure Synapse Analytics is a fully managed enterprise data warehouse.

https://www.pinterest.com/Dumpsarena/

8. What is the primary benefit of columnstore indexes in Azure SQL Data Warehouse?

A) Faster transaction processing

B) Improved compression and query performance for analytics

C) Reduced storage costs

D) Automatic failover✅ Answer: B) Improved compression and query performance for analytics

📌 Explanation: Columnstore indexes optimize read-heavy analytical queries by storing data column-wise, improving compression and speed.

https://x.com/ITexam2025

9. Which Azure service is used for orchestrating and automating data pipelines?

A) Azure Logic Apps

B) Azure Data Factory

C) Azure Functions

D) Azure Stream Analytics✅ Answer: B) Azure Data Factory

📌 Explanation: Azure Data Factory is a cloud-based ETL/ELT service for creating, scheduling, and managing data workflows.

https://github.com/Examprepsol

10. What is the purpose of partitioning in Azure Cosmos DB?

A) To reduce cost by limiting storage

B) To distribute data across physical partitions for scalability

C) To enforce data encryption

D) To schedule backups✅ Answer: B) To distribute data across physical partitions for scalability

📌 Explanation: Partitioning (sharding) in Cosmos DB improves performance and scalability by distributing data across multiple partitions.

https://sites.google.com/view/examsimulatortestengine/home

Final Tips for Microsoft DP 900 Azure Data Fundamentals dumps:

✔ Focus on core concepts (relational vs. non-relational, analytics, storage types).

✔ Understand Azure services (Cosmos DB, Synapse, Data Factory, Blob Storage).

✔ Practice scenario-based questions (e.g., choosing the right service for a use case).Would you like more questions on a specific topic? 😊