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NEW QUESTION: 1
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are creating a new experiment in Azure Learning learning Studio.
One class has a much smaller number of observations than the other classes in the training You need to select an appropriate data sampling strategy to compensate for the class imbalance.
Solution: You use the Synthetic Minority Oversampling Technique (SMOTE) sampling mode.
Does the solution meet the goal?
A. No
B. Yes
Answer: B
Explanation:
SMOTE is used to increase the number of underepresented cases in a dataset used for machine learning. SMOTE is a better way of increasing the number of rare cases than simply duplicating existing cases.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/smote
NEW QUESTION: 2
The probability that events A and B do not occur simultaneously equals 0.77. The probability of neither A nor B occurring equals 0.38. If P(A) equals 0.26, the probability of B occurring equals ________.
A. 0.62
B. 0.59
C. 0.43
Answer: B
Explanation:
The probability that events A and B do not occur simultaneously equals one minus the probability that events A and B occur
The probability that events A and B do not occur simultaneously equals one minus the probability that events A and B occur simultaneously. Thus, P(A and B) = 1 - 0.77 = 0.23.
The probability of neither A nor B occurring equals one minus the probability of either A or B occurring.
Thus, P(A or B) = 1 - 0.38 = 0.62.
Now, P(A or B) = P(A) + P(B) - P(A and B). Therefore, P(B) = P(A or B) - P(A) + P(A and B) = 0.62 - 0.26 +
0 .23 = 0.59.
NEW QUESTION: 3
A company is developing a Java web app. The web app code is hosted in a GitHub repository located at https://github.com/Contoso/webapp.
The web app must be evaluated before it is moved to production. You must deploy the initial code release to a deployment slot named staging.
You need to create the web app and deploy the code.
How should you complete the commands? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: group
# Create a resource group.
az group create --location westeurope --name myResourceGroup
Box 2: appservice plan
# Create an App Service plan in STANDARD tier (minimum required by deployment slots).
az appservice plan create --name $webappname --resource-group myResourceGroup --sku S1 Box 3: webapp
# Create a web app.
az webapp create --name $webappname --resource-group myResourceGroup \
--plan $webappname
Box 4: webapp deployment slot
#Create a deployment slot with the name "staging".
az webapp deployment slot create --name $webappname --resource-group myResourceGroup \
--slot staging
Box 5: webapp deployment source
# Deploy sample code to "staging" slot from GitHub.
az webapp deployment source config --name $webappname --resource-group myResourceGroup \
--slot staging --repo-url $gitrepo --branch master --manual-integration References:
https://docs.microsoft.com/en-us/azure/app-service/scripts/cli-deploy-staging-environment
NEW QUESTION: 4
ある会社がAmazonS3に機密データを保存する準備をしています。コンプライアンス上の理由から、データは保存時に暗号化する必要があります。暗号化キーの使用状況は、監査目的でログに記録する必要があります。キーは毎年ローテーションする必要があります。
どのソリューションがこれらの要件を満たし、最も運用効率が高いですか？
A. 手動ローテーションを使用したAWS KMS（SSE-KMS）カスタマーマスターキー（CMK）を使用したサーバー側の暗号化。
B. 自動ローテーションを使用したAWS KMS（SSE-KMS）カスタマーマスターキー（CMK）を使用したサーバー側の暗号化。
C. 顧客提供のキーを使用したサーバー側の暗号化（SSE-C）
D. Amazon S3マネージドキーを使用したサーバー側の暗号化（SSE-S3）
Answer: B