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Microsoft DP-300 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Plan and implement data platform resources20-25%- Plan and implement data platform resources based on requirements
  • 1. Plan and implement network requirements
  • 2. Implement encryption and data classification
  • 3. Plan for migration of on-premises SQL Server databases
  • 4. Configure Azure SQL Managed Instance and Azure SQL Database
- Recommend an appropriate database offering based on requirements
  • 1. Identify requirements for compliance and regulatory standards
  • 2. Recommend appropriate service tier, storage type, and size
  • 3. Evaluate requirements and select appropriate PaaS vs. IaaS offering
  • 4. Recommend multi-factor authentication for database access
Topic 2: Implement a SQL Server database15-20%- Provision and configure SQL Server on Azure VMs
  • 1. Implement automated backup and restore
  • 2. Configure SQL Server high availability and disaster recovery
  • 3. Deploy and configure SQL Server on Azure Virtual Machines
- Manage SQL Server databases
  • 1. Manage database schemas and objects
  • 2. Monitor and optimize database performance
  • 3. Implement database authentication and authorization
Topic 3: Implement a PaaS database solution15-20%- Implement and configure Azure SQL Database
  • 1. Implement automatic scaling and performance tuning
  • 2. Configure elastic pools and serverless options
  • 3. Configure geo-replication and failover groups
- Implement and configure Azure SQL Managed Instance
  • 1. Implement linked servers and database mail
  • 2. Configure Service Broker and SQL Agent jobs
  • 3. Configure instance-level firewall and connectivity
Topic 4: Implement secure resources20-25%- Implement Azure role-based access control and firewall rules
  • 1. Implement row-level and column-level security
  • 2. Configure server and database-level firewall rules
  • 3. Configure Azure Active Directory authentication
- Implement a risk mitigation strategy based on requirements
  • 1. Implement disaster recovery and high availability solutions
  • 2. Implement Azure Defender for Cloud and threat protection
  • 3. Implement security measures for data access and audit
Topic 5: Monitor database operations10-15%- Troubleshoot database issues
  • 1. Diagnose connectivity and performance issues
  • 2. Analyze metrics and alert thresholds
  • 3. Implement backup, restore, and recovery procedures
- Monitor and log database activity
  • 1. Configure Azure Monitor and Log Analytics
  • 2. Implement auditing and monitoring solutions
  • 3. Use DMVs and extended events for monitoring
Topic 6: Optimize database solutions10-15%- Optimize database resources
  • 1. Configure intelligent query processing
  • 2. Implement automated tuning recommendations
  • 3. Implement resource governance and resource pools
- Optimize query performance
  • 1. Analyze execution plans and identify performance bottlenecks
  • 2. Create and maintain indexes
  • 3. Implement query Store and Performance Insight

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Microsoft Administering Relational Databases on Microsoft Azure Sample Questions (Q168-Q173):

NEW QUESTION # 168
You create a new Azure SQL managed instance named SQL1 and enable Database Mail extended stored You need to ensure that SQ Server Agent jobs running on SQL 1 can notify when a failure Occurs Which three actions should you perform in sequence 7 TO answer. move the appropriate actions from the list Of actions to answer area and arrange them in correct order.

Answer:

Explanation:

Explanation:


NEW QUESTION # 169
You are designing a dimension table in an Azure Synapse Analytics dedicated SQL pool.
You need to create a surrogate key for the table. The solution must provide the fastest query performance.
What should you use for the surrogate key?

Answer: C

Explanation:
Dedicated SQL pool supports many, but not all, of the table features offered by other databases.
Surrogate keys are not supported. Implement it with an Identity column.
Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse- tablesoverview Basic Concept: This question tests performance optimization for SQL workloads, including Query Store, automatic tuning, index/statistics maintenance, and engine-level resource behavior.
Why A is Correct: an IDENTITY column is related to operational monitoring or tuning, but it must match the exact signal needed: query history, resource utilization, wait/blocking detail, or automatic remediation. This fits the case because the requested outcome is: You need to create a surrogate key for the table. The selected feature addresses that outcome directly rather than relying on a workaround.
Why B is Wrong: a GUID column is related to operational monitoring or tuning, but it must match the exact signal needed: query history, resource utilization, wait/blocking detail, or automatic remediation. It does not expose the required metric, query history, wait/blocking signal, or tuning mechanism; using it would not give the administrator the evidence requested.
Why C is Wrong: a sequence object is related to operational monitoring or tuning, but it must match the exact signal needed: query history, resource utilization, wait/blocking detail, or automatic remediation. It is useful in other troubleshooting paths, but this scenario requires a more specific monitoring or optimization feature.


NEW QUESTION # 170
Hotspot Question
You are building an Azure Stream Analytics job to retrieve game data.
You need to ensure that the job returns the highest scoring record for each five-minute time interval of each game.
How should you complete the Stream Analytics query? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Box 1: TopOne() OVER(PARTITION BY Game ORDER BY Score Desc) TopOne returns the top- rank record, where rank defines the ranking position of the event in the window according to the specified ordering. Ordering/ranking is based on event columns and can be specified in ORDER BY clause.
Analytic Function Syntax:
TopOne() OVER ([<PARTITION BY clause>] ORDER BY (<column name> [ASC |DESC])+
<LIMIT DURATION clause> [<WHEN clause>])
Box 2: Tumbling(minute 5)
Tumbling window functions are used to segment a data stream into distinct time segments and perform a function against them, such as the example below. The key differentiators of a Tumbling window are that they repeat, do not overlap, and an event cannot belong to more than one tumbling window.

Reference:
https://docs.microsoft.com/en-us/stream-analytics-query/topone-azure-stream-analytics
https://github.com/MicrosoftDocs/azure-docs/blob/master/articles/stream-analytics/stream-analytics-window-functions.md


NEW QUESTION # 171
You have SQL Server on an Azure virtual machine.
You review the query plan shown in the following exhibit.

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:

Reference:
https://docs.microsoft.com/en-us/sql/relational-databases/performance/monitoring-performance-by-using-the-query-store


NEW QUESTION # 172
You have an Azure SQL Database managed instance named sqldbmi1 that contains a database name Sales.
You need to initiate a backup of Sales.
How should you complete the Transact-SQL statement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://techcommunity.microsoft.com/t5/azure-sql-database/native-database-backup-in-azure-sql-managed-instance/ba-p/386154


NEW QUESTION # 173
......

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