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Microsoft DP-300 Exam Syllabus Topics:

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

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Microsoft Administering Relational Databases on Microsoft Azure Sample Questions (Q368-Q373):

NEW QUESTION # 368
You are designing an enterprise data warehouse in Azure Synapse Analytics that will contain a table named Customers. Customers will contain credit card information.
You need to recommend a solution to provide salespeople with the ability to view all the entries in Customers. The solution must prevent all the salespeople from viewing or inferring the credit card information.
What should you include in the recommendation?

A. data masking
B. row-level security
C. column-level security
D. Always Encrypted

Answer: C

Explanation:
Column-level security simplifies the design and coding of security in your application, allowing you to restrict column access to protect sensitive data.
Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/column-level-security

NEW QUESTION # 369
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:

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 # 370
You need to implement statistics maintenance for SalesSQLDb1. The solution must meet the technical requirements.
Which four 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:

Automating Azure SQL DB index and statistics maintenance using Azure Automation:
1. Create Azure automation account (Step 1)
2. Import SQLServer module (Step 2)
3. Add Credentials to access SQL DB
This will use secure way to hold login name and password that will be used to access Azure SQL DB
4. Add a runbook to run the maintenance (Step 3)
Steps: 1. Click on "runbooks" at the left panel and then click "add a runbook"
2. Choose "create a new runbook" and then give it a name and choose "Powershell" as the type of the runbook and then click on "create"

5. Schedule task (Step 4)
Steps:1. Click on Schedules2. Click on "Add a schedule" and follow the instructions to choose existing schedule or create a new schedule.
Reference:
https://techcommunity.microsoft.com/t5/azure-database-support-blog/automating-azure-sql-db-index-and-statisti

NEW QUESTION # 371
You have a database on a SQL Server on Azure Virtual Machines instance.
The current state of Query Store for the database is shown in the following exhibit.

Answer:

Explanation:

Explanation:
Graphical user interface, text Description automatically generated

NEW QUESTION # 372
You have an Azure Data Factory pipeline that performs an incremental load of source data to an Azure Data Lake Storage Gen2 account.
Data to be loaded is identified by a column named LastUpdatedDate in the source table.
You plan to execute the pipeline every four hours.
You need to ensure that the pipeline execution meets the following requirements:
Automatically retries the execution when the pipeline run fails due to concurrency or throttling limits.
Supports backfilling existing data in the table.
Which type of trigger should you use?

A. tumbling window
B. on-demand
C. schedule
D. event

Answer: A

Explanation:
Explanation
The Tumbling window trigger supports backfill scenarios. Pipeline runs can be scheduled for windows in the past.
Reference:
https://docs.microsoft.com/en-us/azure/data-factory/concepts-pipeline-execution-triggers

NEW QUESTION # 373
......

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