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Microsoft DP-300 Exam Syllabus Topics:

Section	Weight	Objectives
Monitor and optimize operational resources	15–20%	- Monitor database performance and health 1. Identify and diagnose performance issues 2. Set up alerts and notifications 3. Use Azure Monitor, SQL Insights, and metrics - Automate maintenance and operations 1. Automate tasks using jobs, scripts, or Logic Apps 2. Schedule and perform updates and patches 3. Manage database lifecycle operations - Optimize resource consumption 1. Manage costs and licensing 2. Implement auto-scaling and elasticity 3. Adjust compute, storage, and tier settings
Optimize query performance	15–20%	- Manage workload performance 1. Implement partitioning and compression 2. Troubleshoot slow-running queries 3. Control resource usage and concurrency - Improve query performance 1. Use query store and performance tuning tools 2. Optimize T-SQL code and constructs 3. Create and modify indexes - Analyze query execution plans 1. Evaluate index usage and design 2. Identify bottlenecks and inefficiencies 3. Interpret execution plans and statistics
Plan and implement data platform resources	15–20%	- Deploy database resources 1. Automate deployment using templates, PowerShell, or CLI 2. Configure resources for scale and performance 3. Deploy Azure SQL Database, Managed Instance, and SQL Server on Azure VMs - Implement migration strategies 1. Perform offline and online migrations 2. Migrate between Azure services or from on-premises 3. Evaluate migration requirements and strategies - Plan deployment of database offerings 1. Evaluate deployment options for Azure SQL services 2. Identify use cases for hybrid and multi-cloud solutions 3. Plan for scalability and performance requirements
Implement a secure environment	20–25%	- Implement compliance and security controls 1. Assess and remediate vulnerabilities 2. Configure auditing and logging 3. Implement data masking and classification - Secure data at rest and in transit 1. Implement Transparent Data Encryption 2. Configure encryption for connections and data transfer 3. Manage keys and certificates - Configure authentication and authorization 1. Apply least privilege principle 2. Manage database users, roles, and permissions 3. Implement Microsoft Entra ID authentication
Plan and configure high availability and disaster recovery	20–25%	- Design HA/DR strategy 1. Define RPO and RTO requirements 2. Choose between built-in and custom solutions 3. Evaluate hybrid and cross-region options - Configure high availability solutions 1. Test and monitor HA/DR operations 2. Implement failover groups and auto-failover 3. Configure Always On availability groups - Implement backup and restore 1. Configure automated backups and retention 2. Manage backup storage and costs 3. Perform point-in-time and long-term retention restores

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The Administering Relational Databases on Microsoft Azure (DP-300) certification exam is a valuable credential that is designed to validate the candidates' skills and knowledge level. The DP-300 certification exam is one of the high in demand industrial recognized credentials to prove your skills and knowledge level. With the Microsoft DP-300 Certification Exam everyone can upgrade their skills and become competitive and updated in the market.

Microsoft Administering Relational Databases on Microsoft Azure Sample Questions (Q188-Q193):

NEW QUESTION # 188
Hotspot Question
You have a Microsoft SQL Server database named DB1 that contains a table named Table1.
The database role membership for a user named User1 is shown in the following exhibit.

Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Box 1: delete a row from Table1
Members of the db_datawriter fixed database role can add, delete, or change data in all user tables.
Box 2: db_datareader
Members of the db_datareader fixed database role can read all data from all user tables.
Reference:
https://docs.microsoft.com/en-us/sql/relational-databases/security/authentication-access/database-level-roles

NEW QUESTION # 189
Which windowing function should you use to perform the streaming aggregation of the sales data?

A. Session
B. Hopping
C. Sliding
D. Tumbling

Answer: D

Explanation:
Scenario: The sales data, including the documents in JSON format, must be gathered as it arrives and analyzed online by using Azure Stream Analytics. The analytics process will perform aggregations that must be done continuously, without gaps, and without overlapping.
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://github.com/MicrosoftDocs/azure-docs/blob/master/articles/stream-analytics/stream-analytics-window-functions.md

NEW QUESTION # 190
You have an Azure Data Lake Storage Gen2 container.
Data is ingested into the container, and then transformed by a data integration application. The data is NOT modified after that. Users can read files in the container but cannot modify the files.
You need to design a data archiving solution that meets the following requirements:
* New data is accessed frequently and must be available as quickly as possible.
* Data that is older than five years is accessed infrequently but must be available within one second when requested.
* Data that us older than seven years is NOT accessed. After seven years, the data must be persisted at the lowest cost possible.
* Costs must be minimized while maintaining the required availability.
How should you manage the data? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

Box 1: Move to cool storage
The cool access tier has lower storage costs and higher access costs compared to hot storage. This tier is intended for data that will remain in the cool tier for at least 30 days. Example usage scenarios for the cool access tier include:
Short-term backup and disaster recovery
Older data not used frequently but expected to be available immediately when accessed Large data sets that need to be stored cost effectively, while more data is being gathered for future processing Note: Hot - Optimized for storing data that is accessed frequently.
Cool - Optimized for storing data that is infrequently accessed and stored for at least 30 days.
Archive - Optimized for storing data that is rarely accessed and stored for at least 180 days with flexible latency requirements, on the order of hours.
Box 2: Move to archive storage
Example usage scenarios for the archive access tier include:
Long-term backup, secondary backup, and archival datasets
Original (raw) data that must be preserved, even after it has been processed into final usable form Compliance and archival data that needs to be stored for a long time and is hardly ever accessed Reference:
https://docs.microsoft.com/en-us/azure/storage/blobs/storage-blob-storage-tiers

NEW QUESTION # 191
You have SQL Server on an Azure virtual machine named SQL1.
SQL1 has an agent job to back up all databases.
You add a user named dbadmin1 as a SQL Server Agent operator.
You need to ensure that dbadmin1 receives an email alert if a job fails.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:

Explanation:

Explanation

Step 1: Enable the email settings for the SQL Server Agent.
To send a notification in response to an alert, you must first configure SQL Server Agent to send mail.
Step 2: Create a job alert
Step 3: Create a job notification
Example:
-- adds an e-mail notification for the specified alert (Test Alert)
-- This example assumes that Test Alert already exists
-- and that Francois Ajenstat is a valid operator name.
USE msdb ;
GO
EXEC dbo.sp_add_notification
@alert_name = N'Test Alert',
@operator_name = N'Francois Ajenstat',
@notification_method = 1 ;
GO
Reference:
https://docs.microsoft.com/en-us/sql/ssms/agent/notify-an-operator-of-job-status
https://docs.microsoft.com/en-us/sql/ssms/agent/assign-alerts-to-an-operator

NEW QUESTION # 192
You have an Azure SQL database named DB1 that contains a table named Orders. The Orders table contains a row for each sales order. Each sales order includes the name of the user who placed the order.
You need to implement row-level security (RLS). The solution must ensure that the users can view only their respective sales orders.
What should you include in the solution? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation

NEW QUESTION # 193
......

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