Microsoft · DP-300
Validates expertise in implementing and managing operational aspects of cloud-native and hybrid data platform solutions built on SQL Server and SQL database services, including management, availability, security, and performance monitoring and optimization.
Practice Questions
389
≈ 7 practice exams
Duration
100 minutes
Passing Score
700/1000
Difficulty
AssociateLast Updated
Jan 2026
Use this DP-300 practice exam to prepare for Microsoft Certified: Azure Database Administrator Associate (DP-300) with realistic questions, detailed explanations, and focused study modes. The practice bank includes 389 questions for Microsoft DP-300, so you can review the exam steadily instead of relying on one long cram session.
As you practice, pay extra attention to recurring topics such as Plan and implement data platform resources, Implement a secure environment, Monitor, configure, and optimize database resources, Configure and manage automation of tasks, and Plan and configure HA/DR environment. Start with short sessions to identify weak areas, then move into timed quizzes once your accuracy is consistent.
The explanations are especially useful when you want to connect exam wording to the responsibilities and scenarios described in the official certification guidance. Use the free preview first, then unlock the full question bank when you are ready to build a complete study routine.
The Microsoft Certified: Azure Database Administrator Associate (DP-300) validates expertise in administering SQL Server database infrastructure across cloud, on-premises, and hybrid environments. Candidates demonstrate proficiency with Azure SQL Database, Azure SQL Managed Instance, and SQL Server on Azure Virtual Machines (both Windows and Linux), covering management, availability, security, and performance monitoring and optimization. The exam was last updated on October 25, 2024, with a forthcoming English-language update planned for June 18, 2025.
Certified professionals are expected to implement and manage operational aspects of cloud-native and hybrid data platform solutions using Transact-SQL (T-SQL) and other administrative tooling. The role encompasses evaluating and executing database migration strategies between on-premises and Azure, configuring high availability and disaster recovery environments, automating routine operational tasks, and collaborating with Azure data engineers, solution architects, developers, and data scientists. This certification is delivered through Pearson VUE and is available in ten languages including English, Chinese (Simplified), Japanese, Korean, French, German, Portuguese (Brazil), Italian, Chinese (Traditional), and Spanish.
This certification is designed for database administrators who manage both on-premises SQL Server environments and cloud-based Azure SQL services. Ideal candidates typically have at least two years of experience as a data administrator, with hands-on familiarity with Azure SQL Database, Azure SQL Managed Instance, and SQL Server on Azure Virtual Machines. Professionals transitioning from traditional DBA roles into cloud-first or hybrid environments will find this certification particularly relevant.
Job roles that benefit most from this certification include Azure SQL Database Administrators, Cloud Database Engineers, DBA Leads, and SQL Server DBAs seeking to expand into Azure. Those who work cross-functionally with Azure solution architects, data engineers, and developers—and who are responsible for database security, performance tuning, backup/recovery, and automation—are the primary audience.
Microsoft does not impose formal prerequisites for sitting the DP-300 exam, but recommends candidates have subject matter expertise in building database solutions that support multiple workloads with both SQL Server on-premises and Azure SQL services. Practical knowledge of Transact-SQL (T-SQL) for administrative management is strongly advised, as the exam tests the application of T-SQL in real-world scenarios including backup, restore, security configuration, and monitoring.
Candidates should have working experience with Azure SQL Database, Azure SQL Managed Instance, and SQL Server on Azure Virtual Machines. Familiarity with Azure Resource Manager (ARM), PowerShell, Azure CLI, and infrastructure-as-a-service (IaaS) deployment concepts is also beneficial. Completing the official instructor-led course DP-300T00-A or the equivalent self-paced learning paths on Microsoft Learn is strongly recommended before attempting the exam.
Exam DP-300 is administered through Pearson VUE as a proctored assessment with a time limit of 100 minutes. Candidates must achieve a scaled score of 700 or higher out of 1000 to pass. The exam may include a variety of question types such as multiple choice, drag-and-drop, case studies, and interactive lab components. Microsoft notes that the exam may contain questions on generally available (GA) features as well as Preview features that are commonly used in production environments.
The exam is delivered online (remote proctored) or at authorized Pearson VUE testing centers. Candidates who take the exam in a non-native language can request an additional 30 minutes as a language accommodation. If a candidate fails, they may retake the exam 24 hours after the first attempt; subsequent retake timing varies per Microsoft's retake policy. The certification expires annually and can be renewed at no cost via a free online assessment on Microsoft Learn.
Holding the Microsoft Certified: Azure Database Administrator Associate opens pathways to roles including Azure SQL Database Administrator, Cloud Database Engineer, DBA Lead, and SQL Server DBA with cloud responsibilities. In the United States, certified Azure database professionals earn median salaries ranging from approximately $103,000 at the entry level to over $150,000 for experienced practitioners, with some reports citing average compensation around $122,000–$144,000. Microsoft's own DBA roles on Glassdoor show a base salary range of $113,000–$159,000 annually.
Demand for Azure SQL expertise continues to grow as enterprises migrate on-premises SQL Server workloads to Azure and adopt hybrid architectures. The DP-300 certification is recognized as a role-based, associate-level credential by Microsoft, placing it above fundamentals-level certifications and on par with other Azure associate credentials in terms of employer recognition. Certified professionals are positioned to advance toward expert-level certifications such as Azure Solutions Architect Expert or specialize further in data engineering. The certification renews annually via a free Microsoft Learn assessment, keeping holders current with the latest platform updates.
5 sample questions with answers and explanations. The full bank has 389 questions, enough for 7 full-length practice exams.
Preview — answers shown1. A data analyst is writing a T-SQL script in a Synapse dedicated SQL pool to create an external data source pointing to a container in an Azure Data Lake Storage Gen2 account named synapsedatalake. How should the LOCATION prefix and TYPE parameter be configured in the CREATE EXTERNAL DATA SOURCE statement?
Explanation
The correct syntax for an ADLS Gen2 location uses the Azure Blob File System driver prefix, abfss://, followed by the container and account name, which uses the dfs.core.windows.net endpoint. For a dedicated SQL pool, the external data source TYPE must be set to HADOOP when connecting to a data lake. Here is why the other options are incorrect: The blob.core.windows.net endpoint is for standard Blob Storage, not ADLS Gen2's hierarchical namespace. The TYPE must be HADOOP for a dedicated pool connecting to a data lake; BLOB_STORAGE and RDBMS are used for different purposes or in different Synapse pools.
2. The DBA at 'TenantHost Pro' uses an elastic pool to host databases for various customer tiers. They need to run a CPU-intensive data aggregation job, but only on the databases belonging to their 'Enterprise' tier customers. How can the DBA ensure the elastic job targets only this specific subset of databases within the pool?
Explanation
Defining a target group is the correct and most efficient method. Elastic Jobs are designed with this feature for precise control. The DBA can create a target group and explicitly add only the servers or databases belonging to the 'Enterprise' customers. When the job runs, it will only execute against the members of this specified group. Here is why the other options are not ideal: Creating a new pool is costly and unnecessary. Adding logic to the script is inefficient, as the job agent would still waste resources connecting to every database just to check if it should run. Manual execution is not scalable or automated.
3. A DBA is reviewing the execution plan for a query that joins two tables,CustomersandOrders. The plan shows aClustered Index Seekon theCustomerstable but aClustered Index Scanon theOrderstable. TheOrderstable has a clustered index onOrderID, but the join condition is onCustomerID. What is the most likely reason for the scan on theOrderstable?
Explanation
The query optimizer is scanning theOrderstable because it lacks an efficient way to find the rows for a specific customer. Since the join is onCustomerIDbut the table's physical order (the clustered index) is byOrderID, the optimizer has no choice but to read the entire table to find the matching customer orders. The solution is to create a nonclustered index on theOrderstable'sCustomerIDcolumn, which would allow the optimizer to perform a fast seek instead of a slow scan. Here is why the other options are less likely: Table size is a factor, but a scan on a large table is usually due to a missing index. Stale statistics could lead to a bad plan, but the fundamental issue is the lack of an appropriate index. Blocking would be reflected as wait time, not as a scan operator in the plan.
4. A DBA at 'Momentum Trading' is investigating a sudden, severe performance issue on their Azure SQL Managed Instance. They need to immediately see what all the currently active user sessions are waiting on to determine if there is a blocking or resource contention problem. Which Dynamic Management View (DMV) provides this specific, per-session wait information?
Explanation
The correct DMV is sys.dm_exec_sessions_wait_stats. This view is specifically designed to show the accumulated wait statistics for each currently active session. A DBA can query this, join it to sys.dm_exec_sessions, and immediately see which sessions are waiting, what they are waiting for (e.g., a lock, a page latch), and for how long. This is essential for diagnosing real-time contention issues. Here is why the other DMVs are not the right tool for this specific question: sys.dm_db_wait_stats shows cumulative wait stats for the entire instance since it was last restarted, not for current sessions. sys.dm_exec_query_profiles and sys.dm_exec_query_statistics_xml are used for analyzing the execution plans of queries.
5. A media streaming service, 'StreamFlix', uses a General Purpose Azure SQL Database to manage user subscriptions. To ensure business continuity and offload reporting queries, they need a solution that provides a continuously updated, readable copy of the database in a different Azure region. This copy must be available if their primary region fails. What should the DBA implement?
Explanation
Active geo-replication is the correct feature for this requirement. It is designed to create one or more continuously synchronized, readable secondary databases in different Azure regions. This meets both requirements perfectly: it provides a disaster recovery copy in another region and gives them a readable replica that can be used for reporting queries without impacting the primary production database. Here is why the other options are not the best fit: Failover groups are designed to manage the failover of a group of databases but active geo-replication is the underlying technology that creates the readable secondary. Automated backups are for point-in-time restore, not for providing a live, readable copy. Elastic pools are for managing the resources of multiple databases, not for disaster recovery.
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