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NEW QUESTION: 1
WebApp1という名前のAzure Webアプリを開発しています。 WebApp1は、B1料金設定層を使用するPlan1という名前のAzure App Serviceプランを使用します。
CPU使用率が10分間70％を超えたときにアプリのインスタンスを追加するようにWebApp1を構成する必要があります。
順番に実行する必要がある3つのアクションはどれですか？回答するには、適切なアクションをアクションのリストから回答エリアに移動し、正しい順序に並べます。

Answer:
Explanation:

説明

ボックス1：スケールアウト（App Serviceプラン）設定ブレードから、価格帯を変更するB1の価格帯では1つのコアのみが許可されます別の価格帯を選択する必要があります。
ボックス2：スケールアウト（App Serviceプラン）設定ブレードから、自動スケールを有効にします
*ログ
http://portal.azure.comのAzureポータルにアクセスします。
*自動スケーリングするApp Serviceに移動します。
*メニューから[スケールアウト（App Serviceプラン）]を選択します
* [自動スケールを有効にする]をクリックします。これにより、スケーリングルールのエディターがアクティブになります。

ボックス3：スケールモードからメトリックに基づくスケールに、ルールを追加し、インスタンスの制限を設定します。
[ルールを追加]をクリックします。これは、ルールを作成し、スケーリングの詳細を指定できるフォームを示しています。
参照：
https://azure.microsoft.com/en-us/pricing/details/app-service/windows/
https://blogs.msdn.microsoft.com/hsirtl/2017/07/03/autoscaling-azure-web-apps/

NEW QUESTION: 2
ディスクオフロードに関して正しいものは次のうちどれですか？
A. 使用するディスク容量を指定できません。
B. ディスクオフロードを有効にして、構成可能な場所のファイルシステムにキャッシュエントリをコピーできます。
C. サーバーの起動時に、DynaCacheはディスクキャッシュ全体をメモリにロードします。
D. ディスクにオフロードされるキャッシュエントリの数は指定できません。
Answer: A,B,D
Explanation:
AC：ディスクオフロードを有効にする前に、次のことを考慮してください。
ディスクにオフロードされるキャッシュエントリの数を指定することはできません。
使用するディスク容量を指定することはできません。
D：ディスクオフロードを有効にして、キャッシュエントリをファイルシステムにコピーできます（場所は構成可能です）。

NEW QUESTION: 3
A company previously migrated its data warehouse solution to AWS. The company also has an AWS Direct Connect connection. Corporate office users query the data warehouse using a visualization tool. The average size of a query returned by the data warehouse is 50 MB and each webpage sent by the visualization tool is approximately 500 KB. Result sets returned by the data warehouse are not cached.
Which solution provides the LOWEST data transfer egress cost for the company?
A. Host the visualization tool on premises and query the data warehouse directly over a Direct Connect connection at a location in the same AWS Region.
B. Host the visualization tool on premises and query the data warehouse directly over the internet.
C. Host the visualization tool in the same AWS Region as the data warehouse. Access it over the internet.
D. Host the visualization tool in the same AWS Region as the data warehouse and access it over a Direct Connect connection at a location in the same Region.
Answer: D

NEW QUESTION: 4
A Machine Learning Specialist kicks off a hyperparameter tuning job for a tree-based ensemble model using Amazon SageMaker with Area Under the ROC Curve (AUC) as the objective metric This workflow will eventually be deployed in a pipeline that retrains and tunes hyperparameters each night to model click-through on data that goes stale every 24 hours With the goal of decreasing the amount of time it takes to train these models, and ultimately to decrease costs, the Specialist wants to reconfigure the input hyperparameter range(s) Which visualization will accomplish this?
A. A scatter plot with points colored by target variable that uses (-Distributed Stochastic Neighbor Embedding (I-SNE) to visualize the large number of input variables in an easier-to-read dimension.
B. A histogram showing whether the most important input feature is Gaussian.
C. A scatter plot showing the correlation between maximum tree depth and the objective metric.
D. A scatter plot showing (he performance of the objective metric over each training iteration
Answer: C