100% Pass Quiz 2026 Microsoft DP-300–Efficient Reliable Exam Braindumps

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Many applicants do not fulfill their dream of becoming professionals because of using outdated exam preparation material. Failure in the Administering Relational Databases on Microsoft Azure exam leads them to anxiety. If this situation sounds familiar, do not waste time and get your hands on Microsoft DP-300 for exam preparation.

The DP-300 certification exam is a great way for database administrators to enhance their career prospects. Administering Relational Databases on Microsoft Azure certification demonstrates to potential employers that the candidate has the necessary skills and knowledge to administer relational databases on Microsoft Azure. DP-300 certified professionals are in high demand in the industry and can expect to receive higher salaries and better job opportunities.

Microsoft DP-300 (Administering Relational Databases on Microsoft Azure) certification exam is designed for database administrators who want to validate their skills in administering Azure SQL databases. Candidates who pass DP-300 exam demonstrate their ability to design, implement, and maintain databases, as well as ensure their security, availability, and performance in the Microsoft Azure environment.

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Microsoft DP-300 Certification has great effect in this field and may affect your career even future. Administering Relational Databases on Microsoft Azure real questions files are professional and high passing rate so that users can pass the exam at the first attempt. High quality and pass rate make us famous and growing faster and faster.

The DP-300 Certification Exam covers a wide range of topics related to database administration, including designing and implementing database solutions on Azure, managing and monitoring databases, ensuring database security, and performing backups and restores. It also covers advanced topics such as designing for high availability and disaster recovery, implementing Azure SQL Database features, and managing Azure Synapse Analytics.

Microsoft Administering Relational Databases on Microsoft Azure Sample Questions (Q146-Q151):

NEW QUESTION # 146
HOTSPOT
You need to recommend the appropriate purchasing model and deployment option for the 30 new databases.
The solution must meet the technical requirements and the business requirements.
What should you recommend? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:

Answer:

Explanation:

Section: [none]
Explanation:
Box 1: DTU
Scenario:
* The 30 new databases must scale automatically.
* Once all requirements are met, minimize costs whenever possible.
You can configure resources for the pool based either on the DTU-based purchasing model or the vCore-based purchasing model.
In short, for simplicity, the DTU model has an advantage. Plus, if you're just getting started with Azure SQL Database, the DTU model offers more options at the lower end of performance, so you can get started at a lower price point than with vCore.
Box 2: An Azure SQL database elastic pool
Azure SQL Database elastic pools are a simple, cost-effective solution for managing and scaling multiple databases that have varying and unpredictable usage demands. The databases in an elastic pool are on a single server and share a set number of resources at a set price. Elastic pools in Azure SQL Database enable SaaS developers to optimize the price performance for a group of databases within a prescribed budget while delivering performance elasticity for each database.
Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/database/elastic-pool-overview
https://docs.microsoft.com/en-us/azure/azure-sql/database/reserved-capacity-overview Testlet 2 This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam.
You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.
To start the case study
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.
Overview
Contoso, Ltd. is a clothing retailer based in Seattle. The company has 2,000 retail stores across the United States and an emerging online presence.
The network contains an Active Directory forest named contoso.com. The forest is integrated with an Azure Active Directory (Azure AD) tenant named contoso.com. Contoso has an Azure subscription associated to the contoso.com Azure AD tenant.
Existing Environment
Transactional Data
Contoso has three years of customer, transaction, operational, sourcing, and supplier data comprised of 10 billion records stored across multiple on-premises Microsoft SQL Server servers. The SQL Server instances contain data from various operations systems. The data is loaded into the instances by using SQL Server Integration Services (SSIS) packages.
You estimate that combining all product sales transactions into a company-wide sales transactions dataset will result in a single table that contains 5 billion rows, with one row per transaction.
Most queries targeting the sales transactions data will be used to identify which products were sold in retail stores and which products were sold online during different time periods. Sales transaction data that is older than three years will be removed monthly.
You plan to create a retail store table that will contain the address of each retail store. The table will be approximately 2 MB. Queries for retail store sales will include the retail store addresses.
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.
Streaming Twitter Data
The ecommerce department at Contoso develops an Azure logic app that captures trending Twitter feeds referencing the company's products and pushes the products to Azure Event Hubs.
Planned Changes and Requirements
Planned Changes
Contoso plans to implement the following changes:
* Load the sales transaction dataset to Azure Synapse Analytics.
* Integrate on-premises data stores with Azure Synapse Analytics by using SSIS packages.
* Use Azure Synapse Analytics to analyze Twitter feeds to assess customer sentiments about products.
Sales Transaction Dataset Requirements
Contoso identifies the following requirements for the sales transaction dataset:
* Partition data that contains sales transaction records. Partitions must be designed to provide efficient loads by month. Boundary values must belong to the partition on the right.
* Ensure that queries joining and filtering sales transaction records based on product ID complete as quickly as possible.
* Implement a surrogate key to account for changes to the retail store addresses.
* Ensure that data storage costs and performance are predictable.
* Minimize how long it takes to remove old records.
Customer Sentiment Analytics Requirements
Contoso identifies the following requirements for customer sentiment analytics:
* Allow Contoso users to use PolyBase in an Azure Synapse Analytics dedicated SQL pool to query the content of the data records that host the Twitter feeds. Data must be protected by using row-level security (RLS). The users must be authenticated by using their own Azure AD credentials.
* Maximize the throughput of ingesting Twitter feeds from Event Hubs to Azure Storage without purchasing additional throughput or capacity units.
* Store Twitter feeds in Azure Storage by using Event Hubs Capture. The feeds will be converted into Parquet files.
* Ensure that the data store supports Azure AD-based access control down to the object level.
* Minimize administrative effort to maintain the Twitter feed data records.
* Purge Twitter feed data records that are older than two years.
Data Integration Requirements
Contoso identifies the following requirements for data integration:
* Use an Azure service that leverages the existing SSIS packages to ingest on-premises data into datasets stored in a dedicated SQL pool of Azure Synapse Analytics and transform the data.
* Identify a process to ensure that changes to the ingestion and transformation activities can be version- controlled and developed independently by multiple data engineers.


NEW QUESTION # 147
You configure version control for an Azure Data Factory instance as 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: adf_publish
By default, data factory generates the Resource Manager templates of the published factory and saves them into a branch called adf_publish. To configure a custom publish branch, add a publish_config.json file to the root folder in the collaboration branch. When publishing, ADF reads this file, looks for the field publishBranch, and saves all Resource Manager templates to the specified location. If the branch doesn't exist, data factory will automatically create it. And example of what this file looks like is below:
{
"publishBranch": "factory/adf_publish"
}
Box 2: /dwh_barchlet/ adf_publish/contososales
RepositoryName: Your Azure Repos code repository name. Azure Repos projects contain Git repositories to manage your source code as your project grows. You can create a new repository or use an existing repository that's already in your project.
Reference:
https://docs.microsoft.com/en-us/azure/data-factory/source-control


NEW QUESTION # 148
Case Study 5 - ADatum Corporation
Overview
ADatum Corporation is a financial services company that has a main office in New York City.
Existing Environment
Licensing Agreement
ADatum has a Microsoft Volume Licensing agreement that includes Software Assurance.
Network Infrastructure
ADatum has an on-premises datacenter and an Azure subscription named Sub1.
Sub1 contains a virtual network named Network1 in the East US Azure region.
The datacenter is connected to Network1 by using a Site-to-Site (S2S) VPN.
Identity Environment
The on-premises network contains an Active Directory Domain Services (AD DS) forest.
The forest contains a single domain named corp.adatum.com.
The corp.adatum.com domain syncs with a Microsoft Entra tenant named adatum.com.
Database Environment
The datacenter contains the servers shown in the following table.

DB1 and DB2 are used for transactional and analytical workloads by an application named App1.
App1 runs on Microsoft Entra hybrid joined servers that run Windows Server 2022. App1 uses Kerberos authentication.
DB3 stores compliance data used by two applications named App2 and App3.
DB3 performance is monitored by using Extended Events sessions, with the event_file target set to a file share on a local disk of SVR3.
Resource allocation for DB3 is managed by using Resource Governor.
Requirements
Planned Changes
ADatum plans to implement the following changes:
- Deploy an Azure SQL managed instance named Instance1 to Network1.
- Migrate DB1 and DB2 to Instance1.
- Migrate DB3 to Azure SQL Database.
- Following the migration of DB1 and DB2, hand over database development to remote developers who use Microsoft Entra joined Windows 11 devices.
- Following the migration of DB3, configure the database to be part of an auto-failover group.
Availability Requirements
ADatum identifies the following post-migration availability requirements:
- For DB1 and DB2, offload analytical workloads to a read-only database replica in the same Azure region.
- Ensure that if a regional disaster occurs, DB1 and DB2 can be recovered from backups.
- After the migration, App1 must maintain access to DB1 and DB2.
- For DB3, manage potential performance issues caused by resource demand changes by App2 and App3.
- Ensure that DB3 will still be accessible following a planned failover.
- Ensure that DB3 can be restored if the logical server is deleted.
- Minimize downtime during the migration of DB1 and DB2.
Security Requirements
ADatum identifies the following security requirements for after the migration:
- Ensure that only designated developers who use Microsoft Entra joined Windows 11 devices can access DB1 and DB2 remotely.
- Ensure that all changes to DB3, including ones within individual transactions, are audited and recorded.
Management Requirements
ADatum identifies the following post-migration management requirements:
- Continue using Extended Events to monitor DB3.
- In Azure SQL Database, automate the management of DB3 by using elastic jobs that have database-scoped credentials.
Business Requirements
ADatum identifies the following business requirements:
- Minimize costs whenever possible, without affecting other requirements.
- Minimize administrative effort.
Drag and Drop Question
You need to recommend an authentication solution for App1 access to DB1 and DB2 after their migration to Instance1. The solution must meet the availability requirements.
Which actions should you perform in sequence? To answer, drag the appropriate actions to the correct order. Each action may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 149
You have an Azure subscription that contains the resources shown in the following table.

App1 experiences transient connection errors and timeouts when it attempts to access db1 after extended periods of inactivity. You need to modify db1 to resolve the issues experienced by App1 as soon as possible, without considering immediate costs. What should you do?

Answer: C


NEW QUESTION # 150
You have SQL Server 2019 on an Azure virtual machine that contains an SSISDB database.
A recent failure causes the master database to be lost.
You discover that all Microsoft SQL Server integration Services (SSIS) packages fail to run on the virtual machine.
Which four actions should you perform in sequence to resolve the issue? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct.

Answer:

Explanation:

Explanation:

Step 1: Attach the SSISDB database
Step 2: Turn on the TRUSTWORTHY property and the CLR property
If you are restoring the SSISDB database to an SQL Server instance where the SSISDB catalog was never created, enable common language runtime (clr) Step 3: Open the master key for the SSISDB database Restore the master key by this method if you have the original password that was used to create SSISDB.
open master key decryption by password = 'LS1Setup!' --'Password used when creating SSISDB' Alter Master Key Add encryption by Service Master Key Step 4: Encrypt a copy of the mater key by using the service master key Reference:
https://docs.microsoft.com/en-us/sql/integration-services/backup-restore-and-move-the-ssis-catalog


NEW QUESTION # 151
......

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