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NEW QUESTION: 1
You create a training pipeline using the Azure Machine Learning designer. You upload a CSV file that contains the data from which you want to train your model.
You need to use the designer to create a pipeline that includes steps to perform the following tasks:
* Select the training features using the pandas filter method.
* Train a model based on the naive_bayes.GaussianNB algorithm.
* Return only the Scored Labels column by using the query SELECT [Scored Labels] FROM t1; Which modules should you use? To answer, drag the appropriate modules to the appropriate locations. Each module name may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.


Answer:
Explanation:

NEW QUESTION: 2
ソリューションアーキテクトは、Amazon RDSに組み込むアプリケーションを構築しています。特に1つのテーブルが大量に読み込まれ、最小限の待ち時間が重要です。
次のうちどれが最高レベルのパフォーマンスを提供しますか？
A. Amazon CloudFrontを使う
B. Amazon ElastiCacheを使用してください
C. Amazon RDSリードレプリカを使用
D. Amazon DynamoDB Acceleratorを使用してください
Answer: B

NEW QUESTION: 3
각 목표를 확장하려면 클릭하십시오. Azure Portal에 연결하려면 브라우저 주소 표시 줄에 https://portal.azure.com을 입력하십시오.






모든 작업을 완료하면 '다음'버튼을 클릭하십시오.
'다음'버튼을 클릭하면 실험실로 돌아갈 수 없습니다. 시험의 나머지 부분을 완료하는 동안 백그라운드에서 채점됩니다.
개요
시험의 다음 섹션은 실습입니다. 이 섹션에서는 실제 환경에서 일련의 작업을 수행합니다. 실제 환경에서와 같이 대부분의 기능을 사용할 수 있지만 일부 기능 (예 : 복사 및 붙여 넣기, 외부 웹 사이트 탐색 기능)은 의도적으로 설계할 수 없습니다.
채점은 실험실에 명시된 작업을 수행한 결과를 기반으로 합니다. 즉, 작업을 수행하는 방법은 중요하지 않습니다. 작업을 성공적으로 수행하면 해당 작업에 대한 크레딧을 얻게 됩니다.
실습 시간은 별도로 정해져 있지 않으며 이 시험에는 두 개 이상의 실습 과정이 있어야 합니다. 각 실습을 마치는데 시간을 많이 사용할 수 있습니다. 그러나 제공된 시간 내에 실험실 및 시험의 다른 모든 섹션을 완료 할 수 있도록 시간을 적절히 관리해야 합니다.
랩 내에서 다음 버튼을 클릭하여 작업을 제출하면 랩으로 돌아올 수 없습니다.
실습을 시작하려면
다음 버튼을 클릭하여 실습을 시작할 수 있습니다.
Ubuntu 서버를 기반으로 VM1003a 및 VM1003b라는 두 개의 Azure 가상 컴퓨터를 배포해야 합니다.
17.10 이미지. 배포는 다음 요구 사항을 충족해야 합니다.
* 가용성 99.95 %의 서비스 수준 계약 (SLA)을 제공합니다.
* 관리 디스크를 사용하십시오.
Azure Portal에서 무엇을 해야 합니까?
Answer:
Explanation:
See solution below.
Explanation
1. Open the Azure portal.
2. On the left menu, select All resources. You can sort the resources by Type to easily find your images.
3. Select the image you want to use from the list. The image Overview page opens.
4. Select Create VM from the menu.
5. Enter the virtual machine information.
Select VM1003a as the name for the first Virtual machine.The user name and password entered here will be used to log in to the virtual machine. When complete, select OK. You can create the new VM in an existing resource group, or choose Create new to create a new resource group to store the VM.
6. Select a size for the VM. To see more sizes, select View all or change the Supported disk type filter.
7. Under Settings, make changes as necessary and select OK.
8. On the summary page, you should see your image name listed as a Private image. Select Ok to start the virtual machine deployment.
Repeat the procedure for the second VM and name it VM1003b.
References:
https://docs.microsoft.com/en-us/azure/virtual-machines/windows/create-vm-generalized-managed