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NEW QUESTION: 1
企業のセキュリティチームは、1AMアクセスキーが公開コードリポジトリで公開されていることを発見しました。今後、DevOpsチームは、セキュリティ侵害の疑いがあるすべてのキーを自動的に無効にし、セキュリティチームに通知するソリューションを実装したいと考えています。
これを達成するソリューションはどれですか？
A. 5分ごとにAWS CloudWatchイベントルールを実行して、アクセスキーの不正使用されたタグがtrueに設定されているかどうかを確認するAWS Lambda関数を呼び出します。もしそうなら。セキュリティチームに通知し、アクセスキーを無効にします。
B. Amazon MadeのAmazon CloudWatchイベントイベントを作成します。 2つのサブスクリプションを持つAmazon SNSトピックを作成します。1つはセキュリティチームに通知し、もう1つはアクセスキーを無効にするAWS Lambda関数をトリガーします。
C. Amazon GuardDutyを有効にし、GuardDutyのAmazon CloudWatchイベントルールイベントを設定します。
AWS Lambda関数をトリガーして、イベントが侵害されたキーに関連しているかどうかを確認します。その場合は、セキュリティチームに通知を送信し、アクセスキーを無効にします。
D. AWS Configをセットアップし、AWS ConfigのAWS CloudTrailイベントを作成します。 2つのサブスクリプションを持つAmazon SNSトピックを作成します。1つはセキュリティチームに通知し、もう1つはアクセスキーを無効にするAWS Lambda関数をトリガーします。
Answer: C
NEW QUESTION: 2
Segments are applied before sampling in reports.
A. False
B. True
Answer: A
NEW QUESTION: 3
You need to produce a visualization for the diagnostic test evaluation according to the data visualization requirements.
Which three modules should you recommend be used in sequence? To answer, move the appropriate modules from the list of modules to the answer area and arrange them in the correct order.
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