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Microsoft DP-300 certification exam is designed for IT professionals who are looking to showcase their skills in administering relational databases on Microsoft Azure. Administering Relational Databases on Microsoft Azure certification exam is an excellent way to demonstrate your knowledge and expertise in managing databases on Azure, and it is highly valued by employers who are looking for skilled professionals to manage their data.

Preparation Process

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Preparing for the DP-300 exam requires a significant investment of time and effort. You need to have hands-on experience with Microsoft Azure and its database services. You should also be familiar with database management concepts and tools, as well as best practices for security, performance, and disaster recovery. Fortunately, there are many resources available to help you prepare for DP-300 Exam, including online courses, study guides, and practice exams.

Microsoft Administering Relational Databases on Microsoft Azure Sample Questions (Q166-Q171):

NEW QUESTION # 166
You have a SQL Server on Azure Virtual Machines instance named VM1 . You run the following query.

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

Answer:

Explanation:


NEW QUESTION # 167
Hotspot Question
You have an Azure subscription.
You need to deploy an Azure SQL database. The solution must meet the following requirements:
- Support at least 36 cores.
- Minimize costs.
How should you complete the PowerShell script? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Box 1: "Gen5"
Box 2: Serverless
Purchasing model and service tier
The following table describes serverless support based on purchasing model, service tiers, and hardware:

The vCore purchasing model compute size is 2 to 128 vCores.
Reference:
https://learn.microsoft.com/en-us/azure/azure-sql/database/serverless-tier-overview


NEW QUESTION # 168
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have an Azure Synapse Analytics dedicated SQL pool that contains a table named Table1.
You have files that are ingested and loaded into an Azure Data Lake Storage Gen2 container named container1.
You plan to insert data from the files into Table1 and transform the data. Each row of data in the files will produce one row in the serving layer of Table1.
You need to ensure that when the source data files are loaded to container1, the DateTime is stored as an additional column in Table1.
Solution: You use an Azure Synapse Analytics serverless SQL pool to create an external table that has an additional DateTime column.
Does this meet the goal?

Answer: A

Explanation:
Section: [none]
Explanation:
In dedicated SQL pools you can only use Parquet native external tables. Native external tables are generally available in serverless SQL pools.
Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql/create-use-external-tables


NEW QUESTION # 169
You have an Azure SQL database named db1 on a server named server1.
The Intelligent Insights diagnostics log identifies that several tables are missing indexes.
You need to ensure that indexes are created for the tables.
What should you do?

Answer: B

Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/database/automatic-tuning-overview Basic Concept: This question tests performance optimization for SQL workloads, including Query Store, automatic tuning, index/statistics maintenance, and engine-level resource behavior.
Why C is Correct: Automatic tuning uses built-in recommendations and verification to create/drop indexes or force last known good plans where supported. The scenario asks for: You need to ensure that indexes are created for the tables. That makes Modify the automatic tuning settings for db1. the option that satisfies the required Azure SQL layer and operational outcome.
Why A is Wrong: RuntheDBCC SQLPERF command. 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.
Why B is Wrong: Run the dbcc dbreindex command. 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 would produce a different operational signal than the one needed to investigate, alert, or tune the workload in this question.
Why D is Wrong: Query Store captures query text, plans, and runtime statistics, making it central for reviewing query history and troubleshooting plan regressions. It is useful in other troubleshooting paths, but this scenario requires a more specific monitoring or optimization feature.


NEW QUESTION # 170
You need to implement the monitoring of SalesSQLDb1. The solution must meet the technical requirements.
How should you collect and stream metrics? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 171
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