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Skills measured

  • Integrate an Azure Cosmos DB solution (5–10%)
  • Design and implement data distribution (5–10%)
  • Optimize an Azure Cosmos DB solution (15–20%)
  • The English language version of this exam will be updated on August 4, 2022. Please download the exam skills outline below to see what’s changing.
  • Maintain an Azure Cosmos DB solution (25–30%)
  • Design and implement data models (35–40%)

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-420?WT.mc_id=Azure_blog-wwl

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Microsoft DP-420日本語 Exam Syllabus Topics:

SectionWeightObjectives
Optimize an Azure Cosmos DB solution15-20%- Design and implement change feeds
  • 1. Implement aggregation persistence
  • 2. Consume change feeds using SDK
  • 3. Develop Azure Functions triggers
  • 4. Manage change feed instances
- Define and implement indexing strategy
  • 1. Optimize index performance
  • 2. Configure custom indexing policies
  • 3. Implement composite indexes
  • 4. Choose appropriate index types
  • 5. Choose read-heavy or write-heavy indexing
- Optimize query performance
  • 1. Retrieve request unit cost
  • 2. Implement integrated cache
  • 3. Adjust indexing policies
  • 4. Calculate query cost
Maintain an Azure Cosmos DB solution25-30%- Monitor and troubleshoot Azure Cosmos DB solutions
  • 1. Troubleshoot throughput issues
  • 2. Monitor metrics and logs
  • 3. Implement backup and recovery strategies
  • 4. Monitor performance and availability
Design and implement data models35-40%- Implement data access
  • 1. Use consistency and query request options
  • 2. Implement patch operations
  • 3. Implement optimistic concurrency control
  • 4. Implement SQL queries with arrays and aggregation
  • 5. Use SDKs for CRUD operations
  • 6. Manage transactional batch operations
- Design a data partitioning strategy
  • 1. Choose a partitioning strategy
  • 2. Evaluate throughput and data distribution
  • 3. Implement synthetic partition keys
  • 4. Plan for transactions with partition keys
  • 5. Evaluate cross-partition query cost
  • 6. Choose a partition key
- Design and implement a non-relational data model for Azure Cosmos DB for NoSQL
  • 1. Store multiple entity types in the same container
  • 2. Store multiple related entities in the same document
  • 3. Denormalize data across documents
  • 4. Identify partition key, id, and unique keys
  • 5. Reference between documents
  • 6. Identify data and associated access patterns
- Plan and implement sizing and scaling
  • 1. Choose between serverless, provisioned, and free tier
  • 2. Evaluate throughput and storage requirements
  • 3. Design resource governance and scaling
  • 4. Configure throughput
  • 5. Evaluate global distribution costs
- Implement server-side programming
  • 1. Write and deploy stored procedures
  • 2. Implement user-defined functions
  • 3. Implement triggers
- Implement client connectivity options
  • 1. Configure client-side threading and logging
  • 2. Choose gateway or direct connectivity mode
  • 3. Create database connections
  • 4. Handle connection errors
  • 5. Implement singleton client
  • 6. Use Azure Cosmos DB emulator
Integrate an Azure Cosmos DB solution5-10%- Enable analytical workloads
  • 1. Query analytical store from Synapse
  • 2. Configure Azure Cosmos DB Mirroring
  • 3. Write data back from Spark
  • 4. Enable analytical store
- Implement solutions across services
  • 1. Use Change Feed for denormalization
  • 2. Integrate Azure Functions and Event Hubs
  • 3. Enforce referential integrity
  • 4. Aggregate and archive data
  • 5. Implement Azure AI Search integration
Design and implement data distribution5-10%- Design and implement replication strategy
  • 1. Choose when to distribute data
  • 2. Perform manual failovers
  • 3. Define automatic failover policies
  • 4. Evaluate consistency model impacts
  • 5. Choose a consistency model
- Design and implement multi-region writes
  • 1. Choose when to use multi-region writes
  • 2. Implement conflict resolution policies
  • 3. Implement multi-region writes

Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB (DP-420日本語版) Sample Questions:

Azure Cosmos DB for NoSQL アカウントを含む Azure サブスクリプションをお持ちの場合、以下の C# コードを使用して暗号化ポリシーを定義および実装します。

以下の各記述について、正しい場合は「はい」を、そうでない場合は「いいえ」を選択してください。
注:正解ごとに1ポイントが加算されます。

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

製品カタログの要件を満たすためのソリューションを導入する必要があります。
紛争解決方針を実施するには、何をすべきでしょうか。

  • A. con-productコンテナのインデックスポリシーで、すべてのフィールドのインデックス作成を無効にします。
  • B. 新しいコンテナを作成し、製品カタログデータを新しいコンテナに移行します。
  • C. account1 のデフォルトの整合性レベルを「eventual」に設定します。
  • D. 複合製品コンテナのインデックスポリシーから頻繁に変更されるフィールドを削除します。
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

account1 という名前の Azure Cosmos DB for NoSQL アカウントに、db1 という名前のデータベースがあります。db1 データベースの手動スループットは、毎秒 4,000 リクエスト ユニット (RU/s) です。
Azure CLI を使用して、db1 のスループットを手動設定から自動スケーリング設定に変更する必要があります。ソリューションは、最低 4,000 RU/s、最大 40,000 RU/s のスループットを提供する必要があります。
CLIステートメントはどのように入力すればよいですか?回答するには、回答欄で適切なオプションを選択してください。
注:正解ごとに1ポイントが加算されます。

Reveal Solution  Discussion  0

Correct Answer:


Explanation:
Migrate
40000
According to the Azure CLI reference1, you need to use the az cosmosdb sql database throughput migrate command to migrate the throughput of the SQL database between autoscale and manually provisioned. You also need to use the --throughput-type parameter to specify the type of throughput to migrate to, and the --max-throughput parameter to specify the maximum throughput resource can scale to (RU
/s).
To complete the CLI statements, you should replace the missing values with:
--throughput-type autoscale
--max-throughput 40000
The final command should look like this:
az cosmosdb sql database throughput migrate \
--account-name account1 \
--name db1 \
--resource-group rg1 \
--throughput-type autoscale \
--max-throughput 40000

account1 という名前の Azure Cosmos DB for NoSQL アカウントがあり、App1 という名前のアプリケーションをサポートしています。App1 は、一貫性プレフィックスの一貫性レベルを使用しています。
アカウント1を、専用ゲートウェイと統合キャッシュを使用するように設定します。
App1が統合キャッシュを使用できることを確認する必要があります。
APP1に対して実行すべき2つのアクションはどれですか?それぞれの正解は、解決策の一部を示しています。
注:正解ごとに1ポイントが加算されます。

  • A. 接続モードを直接に変更します
  • B. リクエストの一貫性レベルを「強い」に変更します。
  • C. セッションへのリクエストの一貫性レベルを変更します。
  • D. アカウントのエンドポイントを https://account1.documents.azure.com に変更してください。
  • E. アカウントのエンドポイントを https://account1.sqlx.cosmos.azure.com に変更します。
Reveal Solution  Discussion  0

Correct Answer: C,E  🗳️

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Azure Cosmos DB Core (SQL) API アカウントにデータベースがあります。このデータベースは2時間ごとにバックアップされます。
特定時点への復元をサポートするソリューションを導入する必要があります。
まず最初に何をすべきでしょうか?

  • A. アカウントの継続バックアップを有効にします。
  • B. 定期的なバックアップポリシーを持つ新しいアカウントを作成します。
  • C. アカウントのバックアップと復元の設定を構成します。
  • D. アカウントのポイントインタイム復元設定を構成します。
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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