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Microsoft DP-300 Exam Syllabus Topics:

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

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Microsoft Administering Relational Databases on Microsoft Azure Sample Questions (Q225-Q230):

NEW QUESTION # 225
You plan to develop a dataset named Purchases by using Azure Databricks. Purchases will contain the following columns:
* ProductID
* ItemPrice
* LineTotal
* Quantity
* StoreID
* Minute
* Month
* Hour
* Year
* Day
You need to store the data to support hourly incremental load pipelines that will vary for each StoreID. The solution must minimize storage costs.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

Box 1: .partitionBy
Example:
df.write.partitionBy("y","m","d")
mode(SaveMode.Append)
parquet("/data/hive/warehouse/db_name.db/" + tableName)
Box 2: ("Year","Month","Day","Hour","StoreID")
Box 3: .parquet("/Purchases")
Reference:
https://intellipaat.com/community/11744/how-to-partition-and-write-dataframe-in-spark-without-deleting- partitions-with-no-new-data

NEW QUESTION # 226
You have an Azure SQL database named DB1 that contains a table named Table 1.
You run a query to load data into Table1.
The performance metrics of Table1 during the load operation are 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:

NEW QUESTION # 227
You have an Azure subscription that contains an Azure SQL database named DB1.
You need to recommend a high availability, disaster recovery (HA/DR) solution for DB1. The solution must meet the following requirements:
- Ensure that a recovery time objective (RTO) of less than five minutes can be met.
- Ensure that a recovery point objective (RPO) of less than 30 seconds
can be met.
- Ensure availability in the event of an Azure region outage.
What should you include in the recommendation?

A. zone redundancy
B. Azure Site Recovery
C. geo-restore
D. failover groups

Answer: D

Explanation:
To protect an Azure SQL Database from a regional outage, you should implement disaster recovery solutions like active geo-replication or failover groups to create a secondary, readable replica in a different Azure region.
Azure failover groups for Azure SQL Database offer a Recovery Time Objective (RTO) of typically less than 60 seconds and a Recovery Point Objective (RPO) of 5 seconds. This means that, in the event of a failover, your database should be back online within a minute, and you might experience a maximum of 5 seconds of data loss.
Note:
Active Geo-Replication and Failover Groups:
Active Geo-Replication:
This feature allows you to create readable secondary databases in different Azure regions. It provides a mechanism for failover to the secondary database in case of a regional outage, minimizing downtime.
Failover Groups:
Failover groups simplify the management of geo-replicated databases, enabling automatic failover of multiple databases simultaneously. They also provide read-write and read-only listener endpoints that remain unchanged after failover, simplifying application updates.
Reference:
https://learn.microsoft.com/en-us/azure/azure-sql/database/failover-group-sql-db?view=azuresql

NEW QUESTION # 228
You configure a long-term retention policy for an Azure SQL database as shown in the exhibit. (Click the Exhibit tab.)

The first weekly backup occurred on January 4, 2020. The dates for the first 10 weekly backups are:
January 4, 2020
January 11, 2020
January 18, 2020
January 25, 2020
February 1, 2020
February 8, 2020
February 15, 2020
February 22, 2020
February 29, 2020
March 7, 2020
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:

NEW QUESTION # 229
You need to use an Azure Resource Manager ARM) template to deploy an Azure virtual machine that will host a Microsoft SQL Server instance. The solution must maximize disk I/O performance for the SQL Server database and log files How should you complete the template? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation
Read onlyReadWrite

NEW QUESTION # 230
......

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