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NEW QUESTION: 1
リアルタイムデータ処理ソリューションの高可用性を改善するにはどうすればよいですか？
A. 高同時実行性Databricksクラスターをデプロイします。
B. 地理冗長ストレージ（GRS）を使用するようにData Lake Storageを設定します。
C. 同一のAzure Stream AnalyticsジョブをAzureのペアのリージョンにデプロイします。
D. Azure Stream Analyticsジョブをデプロイし、Azure Automation Runbookを使用してジョブのステータスを確認し、停止した場合はジョブを開始します。
Answer: C
Explanation:
Guarantee Stream Analytics job reliability during service updates
Part of being a fully managed service is the capability to introduce new service functionality and improvements at a rapid pace. As a result, Stream Analytics can have a service update deploy on a weekly (or more frequent) basis. No matter how much testing is done there is still a risk that an existing, running job may break due to the introduction of a bug. If you are running mission critical jobs, these risks need to be avoided. You can reduce this risk by following Azure's paired region model.
Scenario: The application development team will create an Azure event hub to receive real-time sales data, including store number, date, time, product ID, customer loyalty number, price, and discount amount, from the point of sale (POS) system and output the data to data storage in Azure
NEW QUESTION: 2
アプリケーション開発者は、顧客のアカウント閉鎖の確率を取得できるように予測スコアリングエージェントを構成する必要があります。
次の手順に加えて、他の手順を定義する順序が重要でないエージェントを構成するために、アプリケーション開発者が完了する必要がある他の手順は何ですか？
[ソリューションマップ]ビュー内の[作成者]セクションのウィザードを使用して、予測スコアリングエージェントを作成します。
A. Define a connectivity definition from the "Model" section inside the "Solution Map" view. Define an inbound end point for the scoring service and set its advanced properties as follows:
advanced properties:
- url
http://localhost:9080/scoring/services/Scoring.HttpV2
- user user1
- password password1
B. 接続プロパティを使用して、エージェント記述子ファイル「agentadsc」を完成させます。
高度なプロパティ：
- url
http://localhost:9080/scoring/services/Scoring.HttpV2
- user user1
- password password1
C. Add the following properties and their values to the solution_properties.xml file:
<property
name="my_scoring_endpoint.url">http://localhost:9080/scoring/services/Scoring.H1
<property name="my_scoring_endpoint.user">userl</property>
<property name="my scoring endpoint.password" encoded="true">passwordl</pro
D. Update the predictive scoring agent Java file (ie: MyAgent.java) with the following annotation:
@ScoringConfiguration (user="userl",url="http://localhost:9080/scoring/services/Scoring.HttpV2", password="passwordl")
Answer: C
NEW QUESTION: 3
Which statement is true about profiles?
A. A user can exist without any profile.
B. Password management using profiles is always enabled.
C. A profile can be assigned only to one user.
D. Resource limits specified in a profile assigned to a user are always enabled.
Answer: B
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