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NEW QUESTION: 1
According to ISO 27001, of the steps for establishing an Information Security Governance program listed below, which comes first?
A. Define the budget of the Information Security Management System
B. Decide how to manage risk
C. Identify threats, risks, impacts and vulnerabilities
D. Define Information Security Policy
Answer: D
NEW QUESTION: 2
Azure Machine Learning Studioの2クラスニューラルネットワークモジュールを使用して、バイナリ分類モデルを構築します。 Tune Model Hyperparametersモジュールを使用して、モデルの精度を調整します。
Tune Model Hyperparametersモジュールを使用して、調整する必要があるハイパーパラメーターを選択する必要があります。
どの2つのハイパーパラメーターを使用する必要がありますか？それぞれの正解はソリューションの一部を示しています。
注：それぞれの正しい選択には1ポイントの価値があります。
A. Learning Rate
B. Hidden layer specification
C. Number of hidden nodes
D. The type of the normalizer
E. Number of learning iterations
Answer: B,E
Explanation:
説明
D：学習反復回数に、アルゴリズムがトレーニングケースを処理する最大回数を指定します。
E：非表示層の仕様では、作成するネットワークアーキテクチャのタイプを選択します。
入力レイヤーと出力レイヤーの間に、複数の非表示レイヤーを挿入できます。ほとんどの予測タスクは、1つまたはいくつかの隠されたレイヤーだけで簡単に実行できます。
参照：
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/two-class-neural-network
NEW QUESTION: 3
.phone, a smartphone manufacturer, currently dominates the smartphone market.
Which of the following may explain why this is beneficial for the smartphone industry?
A. .phone's monopoly in the smartphone industry allows it to produce its phones at a more affordable price
B. .phone's monopoly allows it to increase its own profits significantly, therefore benefiting the market as a whole
C. .phone's monopoly in the industry allows for better research and development, thus leading to better and more frequent technological advances
D. .phone's monopoly allows the company to increase supply and therefore make smartphones more available, especially to those in developing markets
Answer: C
NEW QUESTION: 4
デバイスが指定された場所から200メートル以上移動したときにユーザーに警告するリアルタイム監視アプリを作成する予定です。
計画したアプリのデータを処理するには、Azure Stream Analyticsジョブを設計する必要があります。 このソリューションでは、開発するコードの量と使用するテクノロジーの数を最小限に抑える必要があります。
Stream Analyticsジョブには何を含める必要がありますか？ 回答するには、回答エリアで適切なオプションを選択します。
注：それぞれの正しい選択には1ポイントの価値があります。
Answer:
Explanation:
Explanation
Input type: Stream
You can process real-time IoT data streams with Azure Stream Analytics.
Input source: Azure IoT Hub
In a real-world scenario, you could have hundreds of these sensors generating events as a stream. Ideally, a gateway device would run code to push these events to Azure Event Hubs or Azure IoT Hubs.
Function: Geospatial
With built-in geospatial functions, you can use Azure Stream Analytics to build applications for scenarios such as fleet management, ride sharing, connected cars, and asset tracking.
Reference:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-get-started-with-azure-stream-analytics
https://docs.microsoft.com/en-us/azure/stream-analytics/geospatial-scenarios
