究極のガイドはDP-300最新2025年12月24日時間限定！今すぐダウンロード！
2025年最新のな厳密検証された合格させるDP-300試験にはリアル問題と解答
Microsoft DP-300認定試験は、Microsoft Azure上で関係データベースを管理するスキルと知識を証明する絶好の機会です。この認定資格は業界で高く評価され、プロフェッショナルに新しいキャリアの機会を提供できます。候補者は、実践的な経験を積み、オンラインのトレーニングコースを受講し、関連するトピックを学習することで、試験の準備ができます。DP-300試験に合格することは、どのデータベース管理者のキャリアの展望を向上させる素晴らしい成果です。
DP-300認定試験は、Microsoft Azure上の関係型データベースを管理するスキルと経験を示したい個人にとって必須の資格です。この認定は、Azureプラットフォーム上でデータベースを展開、管理、および維持するスキルを検証します。また、この認定は、個人がAzure上で安全で高性能なデータベースソリューションを設計および実装するために必要な知識と専門知識を持っていることを示します。
質問 # 66
From a website analytics system, you receive data extracts about user interactions such as downloads, link clicks, form submissions, and video plays.
The data contains the following columns:
You need to design a star schema to support analytical queries of the dat a. The star schema will contain four tables including a date dimension.
To which table should you add each column? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
正解：
解説：
Reference:
https://docs.microsoft.com/en-us/power-bi/guidance/star-schema
質問 # 67
You have an Azure SQL database named that contains a table named Table1.
You run a query to bad data into Table1.
The performance Of Table1 during the load operation are shown in exhibit.
正解：
解説：
Explanation:
質問 # 68
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.
正解：
解説：
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
質問 # 69
Case Study 4 - A.Datum
Overview
ADatum Corporation is a retailer that sells products through two sales channels: retail stores and a website.
Existing Environment
ADatum has one database server that has Microsoft SQL Server 2016 installed. The server hosts three mission-critical databases named SALESDB, DOCDB, and REPORTINGDB.
SALESDB collects data from the stores and the website.
DOCDB stores documents that connect to the sales data in SALESDB. The documents are stored in two different JSON formats based on the sales channel.
REPORTINGDB stores reporting data and contains several columnstore indexes. A daily process creates reporting data in REPORTINGDB from the data in SALESDB. The process is implemented as a SQL Server Integration Services (SSIS) package that runs a stored procedure from SALESDB.
Requirements
Planned Changes
ADatum plans to move the current data infrastructure to Azure. The new infrastructure has the following requirements:
Migrate SALESDB and REPORTINGDB to an Azure SQL database.
Migrate DOCDB to Azure Cosmos DB.
The sales data, including the documents in JSON format, must be gathered as it arrives and analyzed online by using Azure Stream Analytics. The analytics process will perform aggregations that must be done continuously, without gaps, and without overlapping.
As they arrive, all the sales documents in JSON format must be transformed into one consistent format.
Azure Data Factory will replace the SSIS process of copying the data from SALESDB to REPORTINGDB.
Technical Requirements
The new Azure data infrastructure must meet the following technical requirements:
Data in SALESDB must encrypted by using Transparent Data Encryption (TDE). The encryption must use your own key.
SALESDB must be restorable to any given minute within the past three weeks.
Real-time processing must be monitored to ensure that workloads are sized properly based on actual usage patterns.
Missing indexes must be created automatically for REPORTINGDB.
Disk IO, CPU, and memory usage must be monitored for SALESDB.
Which windowing function should you use to perform the streaming aggregation of the sales data?
- A. Sliding
- B. Session
- C. Hopping
- D. Tumbling
正解：D
解説：
Scenario: The sales data, including the documents in JSON format, must be gathered as it arrives and analyzed online by using Azure Stream Analytics. The analytics process will perform aggregations that must be done continuously, without gaps, and without overlapping.
Tumbling window functions are used to segment a data stream into distinct time segments and perform a function against them, such as the example below. The key differentiators of a Tumbling window are that they repeat, do not overlap, and an event cannot belong to more than one tumbling window.
Reference:
https://github.com/MicrosoftDocs/azure-docs/blob/master/articles/stream-analytics/stream-analytics-window-functions.md
質問 # 70
Which audit log destination should you use to meet the monitoring requirements?
- A. Azure Event Hubs
- B. Azure Storage
- C. Azure Log Analytics
正解：C
解説：
Explanation
Scenario: Use a single dashboard to review security and audit data for all the PaaS databases.
With dashboards can bring together operational data that is most important to IT across all your Azure resources, including telemetry from Azure Log Analytics.
Note: Auditing for Azure SQL Database and Azure Synapse Analytics tracks database events and writes them to an audit log in your Azure storage account, Log Analytics workspace, or Event Hubs.
Reference:
https://docs.microsoft.com/en-us/azure/azure-monitor/visualize/tutorial-logs-dashboards
質問 # 71
You have an Azure subscription that contains a logical SQL server. The server hosts two databases named db1 and db2 and an Azure AD sen/ice principal named appl.
You need to ensure that appl can access db1. The solution must use the principle of least privilege.
How should you complete the Transact-SQL statement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
正解：
解説：
Explanation:
質問 # 72
You have an Azure SQL database named sqldb1.
You need to minimize the possibility of Query Store transitioning to a read-only state.
What should you do?
- A. Decrease by half the value of Data Flush Interval
- B. Decrease by half the value of Statistics Collection interval
- C. Double the value of Data Flush interval
- D. Double the value of Statistics Collection Interval
正解：A
解説：
Explanation
Explanation:
The Max Size (MB) limit isn't strictly enforced. Storage size is checked only when Query Store writes data to disk. This interval is set by the Data Flush Interval (Minutes) option. If Query Store has breached the maximum size limit between storage size checks, it transitions to read-only mode.
Incorrect Answers:
C: Statistics Collection Interval: Defines the level of granularity for the collected runtime statistic, expressed in minutes. The default is 60 minutes. Consider using a lower value if you require finer granularity or less time to detect and mitigate issues. Keep in mind that the value directly affects the size of Query Store data.
Reference:
https://docs.microsoft.com/en-us/sql/relational-databases/performance/best-practice-with-the-query-store
質問 # 73
You are designing an enterprise data warehouse in Azure Synapse Analytics that will store website traffic analytics in a star schema.
You plan to have a fact table for website visits. The table will be approximately 5 GB.
You need to recommend which distribution type and index type to use for the table. The solution must provide the fastest query performance.
What should you recommend? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
正解：
解説：
Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-tables-distribute
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-tables-index
質問 # 74
You have an Azure SQL database.
Users report that the executions of a stored procedure are slower than usual. You suspect that a regressed query is causing the performance issue.
You need to view the query execution plan to verify whether a regressed query is causing the issue. The solution must minimize effort.
What should you use?
- A. Performance Recommendations in the Azure portal
- B. Query Store in Microsoft SQL Server Management Studio (SSMS)
- C. Extended Events in Microsoft SQL Server Management Studio (SSMS)
- D. Query Performance Insight in the Azure portal
正解：B
解説：
Use the Query Store Page in SQL Server Management Studio.
Query performance regressions caused by execution plan changes can be non-trivial and time consuming to resolve.
Since the Query Store retains multiple execution plans per query, it can enforce policies to direct the Query Processor to use a specific execution plan for a query. This is referred to as plan forcing. Plan forcing in Query Store is provided by using a mechanism similar to the USE PLAN query hint, but it does not require any change in user applications. Plan forcing can resolve a query performance regression caused by a plan change in a very short period of time.
Reference:
https://docs.microsoft.com/en-us/sql/relational-databases/performance/monitoring-performance-by-using-the-query-store
質問 # 75
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.
正解：
解説：
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
質問 # 76
Case Study 2 - Contoso, Ltd
Overview
General Overview
Contoso, Ltd. is a financial data company that has 100 employees. The company delivers financial data to customers.
Physical Locations
Contoso has a datacenter in Los Angeles and an Azure subscription. All Azure resources are in the US West 2 Azure region. Contoso has a 10-Gb ExpressRoute connection to Azure.
The company has customers worldwide.
Existing Environment
Active Directory
Contoso has a hybrid Azure Active Directory (Azure AD) deployment that syncs to on-premises Active Directory.
Database Environment
Contoso has SQL Server 2017 on Azure virtual machines shown in the following table.
SQL1 and SQL2 are in an Always On availability group and are actively queried. SQL3 runs jobs, provides historical data, and handles the delivery of data to customers.
The on-premises datacenter contains a PostgreSQL server that has a 50-TB database.
Current Business Model
Contoso uses Microsoft SQL Server Integration Services (SSIS) to create flat files for customers.
The customers receive the files by using FTP.
Requirements
Planned Changes
Contoso plans to move to a model in which they deliver data to customer databases that run as platform as a service (PaaS) offerings. When a customer establishes a service agreement with Contoso, a separate resource group that contains an Azure SQL database will be provisioned for the customer. The database will have a complete copy of the financial data. The data to which each customer will have access will depend on the service agreement tier. The customers can change tiers by changing their service agreement.
The estimated size of each PaaS database is 1 TB.
Contoso plans to implement the following changes:
Move the PostgreSQL database to Azure Database for PostgreSQL during the next six months.
Upgrade SQL1, SQL2, and SQL3 to SQL Server 2019 during the next few months.
Start onboarding customers to the new PaaS solution within six months.
Business Goals
Contoso identifies the following business requirements:
Use built-in Azure features whenever possible.
Minimize development effort whenever possible.
Minimize the compute costs of the PaaS solutions.
Provide all the customers with their own copy of the database by using the PaaS solution.
Provide the customers with different table and row access based on the customer's service agreement.
In the event of an Azure regional outage, ensure that the customers can access the PaaS solution with minimal downtime. The solution must provide automatic failover.
Ensure that users of the PaaS solution can create their own database objects but he prevented from modifying any of the existing database objects supplied by Contoso.
Technical Requirements
Contoso identifies the following technical requirements:
Users of the PaaS solution must be able to sign in by using their own corporate Azure AD credentials or have Azure AD credentials supplied to them by Contoso. The solution must avoid using the internal Azure AD of Contoso to minimize guest users.
All customers must have their own resource group, Azure SQL server, and Azure SQL database. The deployment of resources for each customer must be done in a consistent fashion.
Users must be able to review the queries issued against the PaaS databases and identify any new objects created.
Downtime during the PostgreSQL database migration must be minimized.
Monitoring Requirements
Contoso identifies the following monitoring requirements:
Notify administrators when a PaaS database has a higher than average CPU usage.
Use a single dashboard to review security and audit data for all the PaaS databases.
Use a single dashboard to monitor query performance and bottlenecks across all the PaaS databases.
Monitor the PaaS databases to identify poorly performing queries and resolve query performance issues automatically whenever possible.
PaaS Prototype
During prototyping of the PaaS solution in Azure, you record the compute utilization of a customer's Azure SQL database as shown in the following exhibit.
Role Assignments
For each customer's Azure SQL Database server, you plan to assign the roles shown in the following exhibit.
What should you implement to meet the disaster recovery requirements for the PaaS solution?
- A. failover groups
- B. geo-replication
- C. Always On availability groups
- D. Availability Zones
正解：A
解説：
Scenario: In the event of an Azure regional outage, ensure that the customers can access the PaaS solution with minimal downtime. The solution must provide automatic failover.
The auto-failover groups feature allows you to manage the replication and failover of a group of databases on a server or all databases in a managed instance to another region. It is a declarative abstraction on top of the existing active geo-replication feature, designed to simplify deployment and management of geo- replicated databases at scale. You can initiate failover manually or you can delegate it to the Azure service based on a user-defined policy.
The latter option allows you to automatically recover multiple related databases in a secondary region after a catastrophic failure or other unplanned event that results in full or partial loss of the SQL Database or SQL Managed Instance availability in the primary region.
Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/database/auto-failover-group-overview
質問 # 77
You have a on-premises Microsoft SQL Server named SQL1 that hosts five databases.
You need to migrate the databases to an Azure SQL managed instance. The solution must minimize downtime and prevent data loss.
What should you use?
- A. Backup and Restore
- B. log shipping
- C. Database Migration Assistant
- D. Always On availability groups
正解：C
質問 # 78
You are building a database backup solution for a SQL Server database hosted on an Azure virtual machine.
In the event of an Azure regional outage, you need to be able to restore the database backups. The solution must minimize costs.
Which type of storage accounts should you use for the backups?
- A. zone-redundant storage (ZRS)
- B. geo-redundant storage
- C. read-access geo-redundant storage (RA-GRS)
- D. locally-redundant storage (LRS)
正解：C
解説：
Section: [none]
Explanation:
Geo-redundant storage (with GRS or GZRS) replicates your data to another physical location in the secondary region to protect against regional outages. However, that data is available to be read only if the customer or Microsoft initiates a failover from the primary to secondary region. When you enable read access to the secondary region, your data is available to be read if the primary region becomes unavailable. For read access to the secondary region, enable read-access geo-redundant storage (RA-GRS) or read-access geo-zone- redundant storage (RA-GZRS).
Incorrect Answers:
A: Locally redundant storage (LRS) copies your data synchronously three times within a single physical location in the primary region. LRS is the least expensive replication option, but is not recommended for applications requiring high availability.
C: Zone-redundant storage (ZRS) copies your data synchronously across three Azure availability zones in the primary region.
D: Geo-redundant storage (with GRS or GZRS) replicates your data to another physical location in the secondary region to protect against regional outages. However, that data is available to be read only if the customer or Microsoft initiates a failover from the primary to secondary region.
Reference:
https://docs.microsoft.com/en-us/azure/storage/common/storage-redundancy
質問 # 79
You have a SQL Server on Azure Virtual Machines instance named VM1 that hosts a database named DB1. You run the following query.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
正解：
解説：
質問 # 80
You have an Azure SQL database.
You need to implement a disaster recovery solution that meets the following requirements:
* Minimizes how long it takes to recover the database if a datacenter fails
* Minimizes administrative effort
What should you include in the solution?
- A. active geo-replication
- B. Azure Backup
- C. Azure Site Recovery
- D. auto-failover groups
正解：D
質問 # 81
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