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Microsoft DP-300 Exam Syllabus Topics:

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

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Microsoft Administering Relational Databases on Microsoft Azure Sample Questions (Q360-Q365):

NEW QUESTION # 360
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:

Explanation
Graphical user interface, text, application, email Description automatically generated

NEW QUESTION # 361
A data engineer creates a table to store employee information for a new application. All employee names are in the US English alphabet. All addresses are locations in the United States. The data engineer uses the following statement to create the table.

You need to recommend changes to the data types to reduce storage and improve performance.
Which two actions should you recommend? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. Change PhoneNumberto the floatdata type.
B. Change LastHireDate to the datetime2(7)data type.
C. Change Salaryto the moneydata type.
D. Change LastHireDateto the datedata type.
E. Change PhoneNumberto the bigintdata type.

Answer: C,D

Explanation:
Section: [none]

NEW QUESTION # 362
You have an Azure Data Factory pipeline that is triggered hourly.
The pipeline has had 100% success for the past seven days.
The pipeline execution fails, and two retries that occur 15 minutes apart also fail. The third failure returns the following error.

What is a possible cause of the error?

A. The parameter used to generate year=2021/month=01/day=10/hour=06 was incorrect.
B. From 06:00 to 07:00 on January 10, 2021, there was no data in wwi/BIKES/CARBON.
C. From 06:00 to 07:00 on January 10, 2021, the file format of data in wwi/BIKES/CARBON was incorrect.
D. The pipeline was triggered too early.

Answer: A

NEW QUESTION # 363
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:

NEW QUESTION # 364
You need to design an analytical storage solution for the transactional data. The solution must meet the sales transaction dataset requirements.
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:

Box 1: Hash
Scenario:
Ensure that queries joining and filtering sales transaction records based on product ID complete as quickly as possible.
A hash distributed table can deliver the highest query performance for joins and aggregations on large tables.
Box 2: Round-robin
Scenario:
You plan to create a promotional table that will contain a promotion ID. The promotion ID will be associated to a specific product. The product will be identified by a product ID. The table will be approximately 5 GB.
A round-robin table is the most straightforward table to create and delivers fast performance when used as a staging table for loads. These are some scenarios where you should choose Round robin distribution:
* When you cannot identify a single key to distribute your data.
* If your data doesn't frequently join with data from other tables.
* When there are no obvious keys to join.
Reference:
https://rajanieshkaushikk.com/2020/09/09/how-to-choose-right-data-distribution-strategy-for-azure-synapse/

NEW QUESTION # 365
......

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