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NEW QUESTION: 1
開発者は、複数のアカウントを含むAWS Organization組織単位（OU）内の新しいアカウントにサインインしました。 Amazon $ 3サービスへのアクセスは、次のSCPで制限されています。
セキュリティエンジニアは、他のアカウントに影響を与えることなく、どのようにして開発者にAmazon $ 3アクセスを提供できますか？
A. SCPを組織のルートOUに移動して、Amazon $ 3へのアクセス制限を解除します。
B. 開発者向けのIAMポリシーを追加します。これにより、3ドルのアクセスが許可されます。
C. 3ドルのアクセスを制限するSCPを適用せずに新しいOUを作成します。開発者アカウントをこの新しいOUに移動します。
D. $ 3サービスの開発者アカウントの許可リストを追加します。
Answer: C
NEW QUESTION: 2
A. Option D
B. Option A
C. Option C
D. Option B
Answer: D
NEW QUESTION: 3
各アプリケーションに推奨するAzureデータストレージソリューションはどれですか？ 回答するには、回答エリアで適切なオプションを選択します。
注：それぞれの正しい選択には1ポイントの価値があります。
Answer:
Explanation:
Explanation
Health Review: Azure SQL Database
Scenario: ADatum identifies the following requirements for the Health Review application:
* Ensure that sensitive health data is encrypted at rest and in transit.
* Tag all the sensitive health data in Health Review. The data will be used for auditing.
Health Interface: Azure Cosmos DB
ADatum identifies the following requirements for the Health Interface application:
* Upgrade to a data storage solution that will provide flexible schemas and increased throughput for writing data. Data must be regionally located close to each hospital, and reads must display be the most recent committed version of an item.
* Reduce the amount of time it takes to add data from new hospitals to Health Interface.
* Support a more scalable batch processing solution in Azure.
* Reduce the amount of development effort to rewrite existing SQL queries.
Health Insights: Azure SQL Data Warehouse
Azure SQL Data Warehouse is a cloud-based enterprise data warehouse that leverages massively parallel processing (MPP) to quickly run complex queries across petabytes of data. Use SQL Data Warehouse as a key component of a big data solution.
You can access Azure SQL Data Warehouse (SQL DW) from Databricks using the SQL Data Warehouse connector (referred to as the SQL DW connector), a data source implementation for Apache Spark that uses Azure Blob Storage, and PolyBase in SQL DW to transfer large volumes of data efficiently between a Databricks cluster and a SQL DW instance.
Scenario: ADatum identifies the following requirements for the Health Insights application:
* The new Health Insights application must be built on a massively parallel processing (MPP) architecture that will support the high performance of joins on large fact tables References:
https://docs.databricks.com/data/data-sources/azure/sql-data-warehouse.html