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NEW QUESTION: 1
会社は、Dynamics 365 for Finance and Operationsを実装し、Microsoft Power BIを使用してレポート要件をサポートするようにシステムをセットアップおよび構成します。ユーザーはPower BIインスタンスでグラフを作成して、毎日上位10の顧客の顧客注文パターンを表示します。
Dynamics 365 for Finance and Operationsでユーザーのワークスペースにグラフを固定するようにPower BI統合を構成する必要があります。
どの3つのアクションを実行する必要がありますか?それぞれの正解はソリューションの一部を示しています。
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。
A. エンティティストアで、PowerBIのアプリケーションIDとアプリケーションキーを構成します。
B. Azure Active Directoryで、カスタマーサービスマネージャーにレポートを実行する会社のAzure Active Directoryアカウントへの管理権限を付与します。
C. PowerBI.comのDynamics 365 for Finance and Operationsシステム管理セットアップ画面で、アプリケーションIDとアプリケーションキーを構成します。
D. Dynamics 365 for Finance and Operationsクライアントで、Power BIへのサインインを承認します。
E. Microsoft Azure Active Directoryで、PowerBIサービスをアプリ登録に追加し、必要な委任されたアクセス許可を付与します。
Answer: C,D,E
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/dynamics365/unified-operations/dev-itpro/analytics/configure-power-bi-integr

NEW QUESTION: 2

A. Option A
B. Option E
C. Option B
D. Option D
E. Option C
Answer: B
Explanation:
Explanation
The AWS documentation provide the following information on the best performance for DynamoDB tables The optimal usage of a table's provisioned throughput depends on these factors: The primary key selection.
The workload patterns on individual items. The primary key uniquely identifies each item in a table. The primary key can be simple (partition key) or composite (partition key and sort key). When it stores data, DynamoDB divides a table's items into multiple partitions, and distributes the data primarily based upon the partition key value. Consequently, to achieve the full amount of request throughput you have provisioned for a table, keep your workload spread evenly across the partition key values. Distributing requests across partition key values distributes the requests across partitions. For more information on DynamoDB best practises please visit the link:
* http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/GuideIinesForTables.html
Note: One of the AWS forumns is explaining the steps for this process in detail. Based on that, while importing data from S3 using datapipeline to a new table in dynamodb we can create a new index.
Please find the steps given below.


NEW QUESTION: 3




Answer:
Explanation:

Explanation