Microsoft DP-300日本語 : Administering Relational Databases on Microsoft Azure (DP-300日本語版)

  • Exam Code: DP-300日本語
  • Exam Name: Administering Relational Databases on Microsoft Azure (DP-300日本語版)
  • Updated: Oct 14, 2026     Q & A: 434 Questions and Answers

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Exam DP-300 focuses on administering relational databases on Microsoft Azure. It is designed for database administrators and data management specialists who are involved in handling cloud relational databases and on-premises ones developed on Microsoft Azure Data and Microsoft SQL Server services.

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Microsoft DP-300 Exam Syllabus Topics:

TopicDetails

Plan and Implement Data Platform Resources (15-20%)

Deploy resources by using manual methods-deploy database offerings on selected platforms
-configure customized deployment templates
-apply patches and updates for hybrid and IaaS deployment
Recommend an appropriate database offering based on specific requirements-evaluate requirements for the deployment
-evaluate the functional benefits/impact of possible database offerings
-evaluate the scalability of the possible database offering
- evaluate the HA/DR of the possible database offering
-evaluate the security aspects of the possible database offering
Configure resources for scale and performance-configure Azure SQL Database for scale and performance
-configure Azure SQL managed instances for scale and performance
-configure SQL Server in Azure VMs for scale and performance
-calculate resource requirements
-evaluate database partitioning techniques, such as database sharding
-set up SQL Data Sync
Evaluate a strategy for moving to Azure-evaluate requirements for the migration
-evaluate offline or online migration strategies
-evaluate requirements for the upgrade
-evaluate offline or online upgrade strategies
Implement a migration or upgrade strategy for moving to Azure-implement an online migration strategy
-implement an offline migration strategy
-implement an online upgrade strategy
-implement an offline upgrade strategy

Implement a Secure Environment (15-20%)

Configure database authentication by using platform and database tools-configure Azure AD authentication
-create users from Azure AD identities
-configure security principals
Configure database authorization by using platform and database tools-configure database and object-level permissions using graphical tools
-apply principle of least privilege for all securables
Implement security for data at rest-implement Transparent Data Encryption (TDE)
- implement object-level encryption
-implement Dynamic Data Masking
-implement Azure Key Vault and disk encryption for Azure VMs
Implement security for data in transit-configure server and database-level firewall rules
-implement Always Encrypted
Implement compliance controls for sensitive data-apply a data classification strategy
-configure server and database audits
-implement data change tracking
-perform a vulnerability assessment

Monitor and Optimize Operational Resources (15-20%)

Monitor activity and performance-prepare an operational performance baseline
-determine sources for performance metrics
-interpret performance metrics
- configure and monitor activity and performance at the infrastructure, server, service, and database levels
Implement performance-related maintenance tasks-implement index maintenance tasks
-implement statistics maintenance tasks
-configure database auto-tuning
-manage storage capacity
Identify performance-related issues- configure Query Store to collect performance data
-identify sessions that cause blocking
-assess growth/fragmentation of databases and logs
-assess performance-related database configuration parameters
Configure resources for optimal performance-configure storage and infrastructure resources
-configure server and service account settings for performance
-configure Resource Governor for performance
Configure a user database for optimal performance-implement database-scoped configuration
-configure compute resources for scaling
-configure Intelligent Query Processing (IQP)

Optimize Query Performance (5-10%)

Review query plans-determine the appropriate type of execution plan
-identify problem areas in execution plans
-extract query plans from the Query Store
Evaluate performance improvements- determine the appropriate Dynamic Management Views (DMVs) to gather query performance information
-identify performance issues using DMVs
-identify and implement index changes for queries
-recommend query construct modifications based on resource usage
-assess the use of hints for query performance
Review database table and index design-identify data quality issues with duplication of data
-identify normal form of database tables
-assess index design for performance
-validate data types defined for columns
-recommend table and index storage including filegroups
-evaluate table partitioning strategy
- evaluate the use of compression for tables and indexes

Perform Automation of Tasks (10-15%)

Create scheduled tasks-manage schedules for regular maintenance jobs
-configure multi-server automation
-configure notifications for task success/failure/non-completion
Evaluate and implement an alert and notification strategy-create event notifications based on metrics
-create event notifications for Azure resources
-create alerts for server configuration changes
-create tasks that respond to event notifications
Manage and automate tasks in Azure-perform automated deployment methods for resources
-implement policies by using automated evaluation modes

Plan and Implement a High Availability and Disaster Recovery (HADR) Environment (15-20%)

Recommend an HADR strategy for a data platform solution-recommend HADR strategy based on RPO/RTO requirements
-evaluate HADR for hybrid deployments
-evaluate Azure-specific HADR solutions
-identify resources for HADR solutions
Test an HADR strategy by using platform, OS, and database tools-test HA by using failover
-test DR by using failover or restore
Perform backup and restore a database by using database tools- perform a database backup with options
- perform a database restore with options
-perform a database restore to a point in time
-configure long-term backup retention
Configure HA/DR by using OS, platform, and database tools-configure replication
-create anAlways On Availability Group
-configure auto-failover groups
-integrate a database into an Availability Group
- configure quorum options for a Windows Server Failover Cluster
-configure an Availability Group listener

Perform Administration by Using T-SQL (10-15%)

Examine system health-evaluate database health using DMVs
-evaluate server health using DMVs
-perform database consistency checks by using DBCC
Monitor database configuration by using T-SQL-assess proper database autogrowth configuration
-report on database free space
-review database configuration options
Perform backup and restore a database by using T-SQL-prepare databases for Always On Availability Groups
-perform transaction log backup
-perform restore of user databases
-perform database backups with options
Manage authentication by using T-SQL-manage certificates
-manage security principals
Manage authorization by using T-SQL-configure permissions for users to access database objects
-configure permissions by using custom roles

Reference: https://learn.microsoft.com/en-us/credentials/certifications/azure-database-administrator-associate/?practice-assessment-type=certification

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Microsoft Administering Relational Databases on Microsoft Azure (DP-300日本語版) Sample Questions:

Question #1

Azure SynapseAnalytics専用のSQLプールがあります。
PDW_SHOWSPACEUSED( 'dbo.FactInternetSales');を実行します。次の表に示す結果を取得します。

dbo.FactInternetSalesテーブルを正確に説明しているステートメントはどれですか?

  • A. テーブルに含まれる行は10,000未満です。
  • B. テーブルが歪んでいます。
  • C. テーブルはラウンドロビン分布を使用します
  • D. すべてのディストリビューションにデータが含まれています。
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Explanation: Only visible for Pass4guide members. You can sign-up / login (it's free).

Question #2

Azure SQL データベースがあります。このデータベースには、カラムストアインデックスを使用するテーブルが含まれており、そのテーブルへのアクセス頻度は低いです。
カラムストアのアーカイブ圧縮を有効にします。
この構成で考えられる2つの結果は何ですか?それぞれの正解は完全な解答を示しています。
注:正解ごとに1ポイントが加算されます。

  • A. インデックスを使用するクエリは、より多くのCPUリソースを消費します。
  • B. インデックスはより多くのディスク容量を消費します。
  • C. インデックスはより多くのメモリを消費します。
  • D. インデックスを使用するクエリは、より多くのディスクI/Oを消費します。
  • E. インデックスを使用するクエリでは、取得するデータページ数が少なくなります。
Reveal Solution  Discussion  0

Correct Answer: A,E  🗳️

Question #3

複数のデータベースをホストするオンプレミスのMicrosoft SQL Serverインスタンス(SQL1)があります。Azureサブスクリプションには、Azure SQL Managed Instance(SQLM11)が含まれています。Azure Data Studioを使用して、SQLiデータベースをSQLMHにオフライン移行する必要があります。SQL1には何をインストールすればよいでしょうか?

  • A. SQL Server データ ツール (SSDT)
  • B. Azure Migrate アプライアンス
  • C. データ移行アシスタント (DMA)
  • D. セルフホスト型統合ランタイム
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Explanation: Only visible for Pass4guide members. You can sign-up / login (it's free).

Question #4

DB1 という名前の Azure SQL データベースがあります。
Subnet 1 という名前の仮想ネットワーク サブネットに接続する Azure 仮想マシンが 10 台あります。
次の要件を満たすデータベース レベルのファイアウォールを実装する必要があります。
* 10台の仮想マシンのみがDB1にアクセスできるようにします
* 最小権限の原則に従う
ファイアウォール ルールをどのように構成し、仮想マシンから DB1 へのネットワーク接続をどのように確立すればよいでしょうか。回答するには、回答領域で適切なオプションを選択してください。
注意: 正しい選択ごとに 1 ポイントが加算されます。

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

Basic Concept: This question tests secure database administration, where the control must match the data state, access boundary, identity model, or compliance requirement.
Why the selected answer is Correct: The selected values fit this scenario because they apply the required Azure SQL configuration at the correct scope and sequence: You need to implement a database-level firewall that meets the following requirements: * Ensures that only the 10 virtual machines can access DB1 * Follows the principle of least privilege How should you configure the firewall rule, and how should you establis Why the alternate choices are Wrong: The alternate selections apply to different administrative stages or different scopes. In a hotspot or drag-drop task, order and scope are part of the answer, so a technically valid Azure feature can still be wrong if it is placed in the wrong step.

Question #5

ウェブサイト分析システムからは、ダウンロード、リンクのクリック、フォームの送信、ビデオの再生などのユーザーインタラクションに関するデータ抽出を受け取ります。
データには次の列が含まれます。

データの分析クエリをサポートするには、スタースキーマを設計する必要があります。スタースキーマには、日付ディメンションを含む4つのテーブルが含まれます。
各列をどのテーブルに追加する必要がありますか? 回答するには、回答領域で適切なオプションを選択してください。
注意: 正しい選択ごとに 1 ポイントが加算されます。

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

Box 1: FactEvents
Fact tables store observations or events, and can be sales orders, stock balances, exchange rates, temperatures, etc.
Box 2: DimChannel
Dimension tables describe business entities - the things you model. Entities can include products, people, places, and concepts including time itself. The most consistent table you ' ll find in a star schema is a date dimension table. A dimension table contains a key column (or columns) that acts as a unique identifier, and descriptive columns.
Box 3: DimEvent
Reference:
https://docs.microsoft.com/en-us/power-bi/guidance/star-schema

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