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NEW QUESTION: 1
ユーザーが定期的なAuto Scalingプロセスをセットアップしようとしています。ユーザーは、午前8時に毎日スケールアップし、午後7時にスケールダウンするプロセスを1つセットアップしました。ユーザーは、毎月1日午前8時にスケールアップし、同日午後7時にスケールダウンする別の繰り返しプロセスを設定しようとしています。このシナリオでAuto Scalingは何をしますか？
A. Auto Scalingは両方のプロセスを実行しますが、最初に1つのインスタンスのみを追加します
B. Auto Scalingは、月の1日に2つのインスタンスを追加します
C. 2つの別々のAuto Scalingプロセスのスケジュールに矛盾があるため、Auto Scalingはエラーをスローします
D. Auto Scalingは両方のプロセスをスケジュールしますが、1つのプロセスのみをランダムに実行します
Answer: C
Explanation:
Explanation
Auto Scaling based on a schedule allows the user to scale the application in response to predictable load changes. The user can also configure the recurring schedule action, which will follow the Linux cron format.
As per Auto Scaling, a scheduled action must have a unique time value. If the user attempts to schedule an activity at a time when another existing activity is already scheduled, the call will be rejected with an error message noting the conflict.

NEW QUESTION: 2
What is the default remote-age timer of a B-VPLS?
A. Lower than the default timer of an l-VPLS.
B. The same timer as an l-VPLS.
C. The same timer is used in all VPLS types.
D. Higher than the default timer of an I-VPLS.
Answer: A

NEW QUESTION: 3
You have an on-premises network that includes a Microsoft SQL Server instance named SQL1.
You create an Azure Logic App named App1.
You need to ensure that App1 can query a database on SQL1.
Which three 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.

Answer:
Explanation:

Explanation:
To access data sources on premises from your logic apps, you can create a data gateway resource in Azure so that your logic apps can use the on-premises connectors.
Box 1: From an on-premises computer, install an on-premises data gateway.
Before you can connect to on-premises data sources from Azure Logic Apps, download and install the on-premises data gateway on a local computer.
Box 2: From the Azure portal, create an on-premises data gateway
Create Azure resource for gateway
After you install the gateway on a local computer, you can then create an Azure resource for your gateway. This step also associates your gateway resource with your Azure subscription.
Sign in to the Azure portal. Make sure you use the same Azure work or school email address used to install the gateway.

On the Create connection gateway page, provide this information for your gateway resource.
To add the gateway resource to your Azure dashboard, select Pin to dashboard. When you're done, choose Create.
Box 3: From the Logic Apps Designer in the Azure portal, add a connector After you create your gateway resource and associate your Azure subscription with this resource, you can now create a connection between your logic app and your on-premises data source by using the gateway.
* In the Azure portal, create or open your logic app in the Logic App Designer.
* Add a connector that supports on-premises connections, for example, SQL Server.
* Set up your connection.
References:
https://docs.microsoft.com/en-us/azure/logic-apps/logic-apps-gateway-connection

NEW QUESTION: 4
도시는 지난 3 년간 공공 자전거 공유 프로그램에 대한 데이터를 수집해왔습니다. 현재 Amazon S3에있는 SPB 데이터 세트. 데이터에는 다음 데이터 포인트가 포함됩니다.
* 자전거 조직 포인트
* 자전거 목적지 포인트
* 포인트 간 마일리지
* 역에서 이용할 수 있는 자전거 슬롯 수 (역 위치에 따라 다름)
* 주어진 시간에 각 스테이션에서 사용 가능하고 취한 슬롯 수
이 프로그램은 이용 가능한 자전거 정류장 수를 늘리기 위해 추가 기금을 받았습니다. 모든 데이터는 정기적으로 Amazon Glacier에 보관됩니다.
자전거를 가장 많이 이용할 수 있도록 새로운 자전거 스테이션이 있어야 합니다. 이 작업을 어떻게 수행해야 합니까?
A. Amazon Redshift COPY 명령을 사용하여 Amazon S3에서 RedShift로 데이터를 이동하고 가장 인기있는 자전거 스테이션을 출력하는 SQL 쿼리를 플랫폼 화하십시오.
B. Amazon S3에서 데이터를 유지하고 스팟 인스턴스와 함께 전송 EMR 클러스터를 사용하여 데이터를 Amazon Kinesis로 이동시키는 Spark 스트리밍 작업을 실행합니다.
C. 스폿 인스턴스가 있는 Amazon S3에서 Amazon EBS 지원 볼륨 및 EC2 Hardoop으로 데이터를 이동하여 확률 적 그래디언트 디센트 최적화를 수행하는 Spark 작업을 실행합니다.
D. Amazon S3에 데이터를 유지하고 스팟 주장과 함께 Amazon EMR 기반 Hadoop 클러스터를 사용하여 EMBFS에 대한 확률 적 경사 하강 최적화를 수행하는 스파크 작업을 실행합니다.
Answer: D