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NEW QUESTION: 1
_____________への継続的な注意と優れたデザインは俊敏性を高めます。
A. 堅牢な計画
B. 最高のアーキテクチャ
C. 卓越した技術
D. 変更管理
Answer: C

NEW QUESTION: 2
VNet1という名前の仮想ネットワーク上に複数のAzure仮想マシンがあります。
次の図に示すように、Azure Storageアカウントを構成します。

ドロップダウンメニューを使用して、グラフィックに表示されている情報に基づいて各ステートメントを完成させる回答の選択肢を選択します。
注：それぞれ正しい選択は1ポイントの価値があります。

Answer:
Explanation:

説明

ボックス1：いつも
エンドポイントステータスが有効になります。
ボックス2：しない
ストレージアカウントのファイアウォールと仮想ネットワークの設定を構成したら、Azure Backupサービスがネットワークで制限されたストレージアカウントにアクセスできるようにするために、例外として[信頼されたMicrosoftサービスによるこのストレージアカウントへのアクセスを許可する]を選択します。

参照：
https://docs.microsoft.com/en-us/azure/storage/files/storage-how-to-use-files-windows
https://azure.microsoft.com/en-us/blog/azure-backup-now-supports-storage-accounts-secured-with-azure-storage

NEW QUESTION: 3
A Digital Developer is implementing an Open Commerce API call to add products to a basket. Given the following resource configuration:

Which modification allows the requests to successfully execute?
A. Change the "write_attributes" value to: " (+items) ".
B. Change the "read_attributes" value to: " (items) ".
C. Change the "methods" value to: ["get", "post"].
D. Change the "resource_id" value to: "/baskets/*/items".
Answer: D

NEW QUESTION: 4
AzureDatabricksによって処理されるストリーミングデータ用のストレージソリューションを設計しています。ソリューションは、次の要件を満たす必要があります。
*データスキーマは流動的である必要があります。
*ソースデータは高スループットである必要があります。
*データは複数のAzureリージョンでできるだけ早く利用できる必要があります。
要件を満たすために、ソリューションに何を含める必要がありますか？
A. Azure Synapse Analytics
B. Azure Data Lake Storage
C. Azure SQL Database
D. Azure Cosmos DB
Answer: D
Explanation:
Explanation
Azure Cosmos DB is Microsoft's globally distributed, multi-model database. Azure Cosmos DB enables you to elastically and independently scale throughput and storage across any number of Azure's geographic regions. It offers throughput, latency, availability, and consistency guarantees with comprehensive service level agreements (SLAs).
You can read data from and write data to Azure Cosmos DB using Databricks.
Note on fluid schema:
If you are managing data whose structures are constantly changing at a high rate, particularly if transactions can come from external sources where it is difficult to enforce conformity across the database, you may want to consider a more schema-agnostic approach using a managed NoSQL database service like Azure Cosmos DB.
Reference:
https://docs.databricks.com/data/data-sources/azure/cosmosdb-connector.html
https://docs.microsoft.com/en-us/azure/cosmos-db/relational-nosql