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NEW QUESTION: 1
You have an Azure data factory.
You need to ensure that pipeline-run data is retained for 120 days. The solution must ensure that you can query the data by using the Kusto query language.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.

Answer:
Explanation:

Explanation

Step 1: Create an Azure Storage account that has a lifecycle policy
To automate common data management tasks, Microsoft created a solution based on Azure Data Factory. The service, Data Lifecycle Management, makes frequently accessed data available and archives or purges other data according to retention policies. Teams across the company use the service to reduce storage costs, improve app performance, and comply with data retention policies.
Step 2: Create a Log Analytics workspace that has Data Retention set to 120 days.
Data Factory stores pipeline-run data for only 45 days. Use Azure Monitor if you want to keep that data for a longer time. With Monitor, you can route diagnostic logs for analysis to multiple different targets, such as a Storage Account: Save your diagnostic logs to a storage account for auditing or manual inspection. You can use the diagnostic settings to specify the retention time in days.
Step 3: From Azure Portal, add a diagnostic setting.
Step 4: Send the data to a log Analytics workspace,
Event Hub: A pipeline that transfers events from services to Azure Data Explorer.
Keeping Azure Data Factory metrics and pipeline-run data.
Configure diagnostic settings and workspace.
Create or add diagnostic settings for your data factory.
* In the portal, go to Monitor. Select Settings > Diagnostic settings.
* Select the data factory for which you want to set a diagnostic setting.
* If no settings exist on the selected data factory, you're prompted to create a setting. Select Turn on diagnostics.
* Give your setting a name, select Send to Log Analytics, and then select a workspace from Log Analytics Workspace.
* Select Save.
Reference:
https://docs.microsoft.com/en-us/azure/data-factory/monitor-using-azure-monitor

NEW QUESTION: 2
ある企業は、99.99％のSLAを持つ動的なミッションクリティカルなWebアプリケーションを実行しています。グローバルアプリケーションユーザーは、24時間年中無休でアプリケーションにアクセスします。アプリケーションは現在オンプレミスでホストされており、特に何百万人ものユーザーが同時にアプリケーションにアクセスする場合、SLAを定期的に満たすことができません。リモートユーザーは遅延を訴えます。
このアプリケーションをどのように再設計してスケーラブルにし、最低コストで自動フェイルオーバーを可能にする必要がありますか？
A. Amazon Route 53レイテンシベースのルーティングを使用して、ヘルスチェックで最も近い地域にルーティングします。各リージョンのAmazon S3でウェブサイトをホストし、アプリケーション層にAWS LambdaでAmazon API Gatewayを使用します。 Amazon DynamoDBグローバルテーブルを、キャッシュ用のAmazon DynamoDB Accelerator（DAX）のデータレイヤーとして使用します。
B. 位置情報ベースのルーティングでAmazon Route 53フェイルオーバールーティングを使用します。各地域のアプリケーション層に追加のApplication Load BalancerおよびEC2インスタンスを備えたApplication Load Balancerの背後にある、自動的にスケーリングされたAmazon EC2インスタンスでWebサイトをホストします。データ層としてMySQLを使用したマルチAZ配置を使用します。
C. Amazon Route 53ラウンドロビンルーティングを使用して、ヘルスチェックで複数のリージョンに負荷を均等に分散します。 Network Load Balancerの背後にあるAWS Fargateテクノロジーコンテナー、および各リージョンのアプリケーションレイヤー用の追加のNetwork Load Balancerコンテナーを使用して、自動的にスケーリングされたAmazon ECSでウェブサイトをホストします。データレイヤーにAmazon Auroraレプリカを使用します。
D. Amazon Route 53地理位置情報ベースのルーティングを使用します。 Network Load Balancerの背後にある自動的にスケーリングされたAWS Fargateコンテナーでウェブサイトをホストし、各リージョンのアプリケーションレイヤーに追加のNetwork Load BalancerおよびFargateコンテナーを追加します。 Aurora MySQL用のAmazon Aurora Multi-Masterをデータレイヤーとして使用します。
Answer: A

NEW QUESTION: 3
IS 감사자는 라이선스 계약을 위반하여 동일한 라이선스 키를 가진 소프트웨어가 여러 워크 스테이션에 배포 된 인스턴스를 발견합니다. 다음 중 감사인이 가장 권장하는 것은 무엇입니까?
A. 추가 라이선스 자금 조달에 대한 비즈니스 사례를 평가합니다.
B. 중복을 관리하기 위해 소프트웨어 라이선스 모니터링을 구현합니다.
C. 문제가되는 패키지에서 포함 된 키를 제거합니다.
D. 소프트웨어 액세스 권한을 부여하기 전에 사업주 승인 필요
Answer: B

NEW QUESTION: 4
You need to receive an alert when Azure SQL Data Warehouse consumes the maximum allotted resources.
Which resource type and signal should you use to create the alert in Azure Monitor? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation
Resource type: SQL data warehouse
DWU limit belongs to the SQL data warehouse resource type.
Signal: DWU USED
References:
https://docs.microsoft.com/en-us/azure/sql-database/sql-database-insights-alerts-portal