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NEW QUESTION: 1
ホットサイトを確認しているときに、情報システム監査人は、あるタイプのハードウェアプラットフォームがインストールされていないことを発見しました。情報システム監査人は最初に
A. ホットサイトでのハードウェアの購入とインストールを推奨
B. 新しいマシンの納期を確定
C. 調査結果をISの上級管理職に直ちに報告する
D. ハードウェアがないことによるビジネスへの影響を判断します。
Answer: D
NEW QUESTION: 2
A company plans to implement an HTTP-based API to support a web app. The web app allows customers to check the status of their orders.
The API must meet the following requirements:
* Implement Azure Functions
* Provide public read-only operations
* Do not allow write operations
You need to recommend configuration options.
What should you recommend? To answer, configure the appropriate options in the dialog box in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Allowed authentication methods: GET only
Authorization level: Anonymous
The option is Allow Anonymous requests. This option turns on authentication and authorization in App Service, but defers authorization decisions to your application code. For authenticated requests, App Service also passes along authentication information in the HTTP headers.
This option provides more flexibility in handling anonymous requests.
References:
https://docs.microsoft.com/en-us/azure/app-service/overview-authentication-authorization
NEW QUESTION: 3
データの視覚化要件に従って、診断テストの評価用に視覚化を作成する必要があります。
どの3つのモジュールを順番に使用することをお勧めしますか?回答するには、適切なモジュールをモジュールのリストから回答エリアに移動し、正しい順序で並べます。
Answer:
Explanation:
Explanation:
Step 1: Sweep Clustering
Start by using the "Tune Model Hyperparameters" module to select the best sets of parameters for each of the models we're considering.
One of the interesting things about the "Tune Model Hyperparameters" module is that it not only outputs the results from the Tuning, it also outputs the Trained Model.
Step 2: Train Model
Step 3: Evaluate Model
Scenario: You need to provide the test results to the Fabrikam Residences team. You create data visualizations to aid in presenting the results.
You must produce a Receiver Operating Characteristic (ROC) curve to conduct a diagnostic test evaluation of the model. You need to select appropriate methods for producing the ROC curve in Azure Machine Learning Studio to compare the Two-Class Decision Forest and the Two-Class Decision Jungle modules with one another.
References:
http://breaking-bi.blogspot.com/2017/01/azure-machine-learning-model-evaluation.html