Introduction
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What is the Microsoft DP-900 Exam?
The Microsoft Practice Test Azure Data Fundamentals (DP-900) exam is designed for individuals looking to validate their foundational knowledge of core data concepts and Microsoft Azure data services. It is an excellent starting point for those pursuing careers in data engineering, database administration, or data analytics.
Exam Details:
- Exam Code: DP-900
- Exam Name: Microsoft Azure Data Fundamentals
- Skills Measured: Core data concepts, relational & non-relational data, analytics workloads
- Exam Format: Multiple-choice, drag-and-drop, case studies
- Passing Score: 700/1000
- Exam Duration: 60 minutes
Passing this exam earns you the Microsoft Certified: Azure Data Fundamentals certification, boosting your credibility in cloud data services.
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Get Accurate & Authentic 200+ Sample Questions & Answers DP-900 Dumps PDF Free Download
Question 1: Which of the following best describes a benefit of using a relational database?
A) It stores data in flexible, unstructured formats
B) It enables scalability through horizontal partitioning
C) It enforces data integrity through relationships and constraints
D) It does not require a predefined schema
Question 2: Which data type is best suited for analyzing sensor data in real-time on Azure?
A) Structured data
B) Semi-structured data
C) Unstructured data
D) Streaming data
Question 3: Which Azure service is most appropriate for performing data warehousing and analytical queries on large volumes of data?
A) Azure Cosmos DB
B) Azure SQL Database
C) Azure Synapse Analytics
D) Azure Database for MySQL
Question 4: Which of the following best describes an OLTP (Online Transaction Processing) workload?
A) High-volume analytical processing of historical data
B) Batch processing of large data sets
C) Frequent, short transactions with real-time reads and writes
D) Data processing focused on AI and machine learning
Question 5: What is the primary purpose of a primary key in a relational database?
A) To provide faster search capabilities
B) To uniquely identify each record in a table
C) To define the relationship between two tables
D) To compress data for storage efficiency
