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NEW QUESTION: 1
Which action should they take first?
A. Define an SOA governance model.
B. Perform an SOA maturity assessment.
C. Create an SOA Center of Excellence (CoE).
D. Create a service registry.
Answer: B

NEW QUESTION: 2
Im Rahmen eines neuen Projekts zur Aktualisierung des Rechenzentrums hat der Sicherheitsmanager zusätzliche physische Sicherheit angefordert, um den Diebstahl von Assets zu verhindern. Welche der folgenden Technologien sollte implementiert werden?
A. Videoüberwachung
B. Sperrt Geräte
C. Bewegungserkennungsalarme
D. Asset-Tracking-Tags
Answer: C

NEW QUESTION: 3
次の表に示すデバイスがあります。

Azure IoTソリューションの概念実証（POC）を実装しています。
POCの一部としてAzure IoT Edgeデバイスをデプロイする必要があります。
どの2つのデバイスにIOTエッジを展開できますか？それぞれの正解は完全なソリューションを示します。
注：それぞれの正しい選択は1ポイントの価値があります。
A. デバイス3
B. デバイス2
C. デバイス4
D. デバイス1
Answer: A,B
Explanation:
Azure IoT Edge runs great on devices as small as a Raspberry Pi3 to server grade hardware.
Tier 1.
The systems listed in the following table are supported by Microsoft, either generally available or in public preview, and are tested with each new release.

Reference:
https://docs.microsoft.com/en-us/azure/iot-edge/support

NEW QUESTION: 4
C-Support Vector分類を使用して、不均衡なトレーニングデータセットでマルチクラス分類を行っています。以下に示すPythonコードを使用したC-Support Vector分類：

C-Support Vector分類コードを評価する必要があります。
どの評価ステートメントを使用す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:
Box 1: Automatically adjust weights inversely proportional to class frequencies in the input data The "balanced" mode uses the values of y to automatically adjust weights inversely proportional to class frequencies in the input data as n_samples / (n_classes * np.bincount(y)).
Box 2: Penalty parameter
Parameter: C : float, optional (default=1.0)
Penalty parameter C of the error term.
References:
https://scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html