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NEW QUESTION: 1
Refer to the exhibit.

Which two statements about the network diagram are true? (Choose two.)
A. The subnet address of PC-B has 18 bits dedicated to the network portion.
B. One of the routers has two connected serial interfaces.
C. The subnet of PC-C can contain 256 hosts.
D. R1 and R3 are in the same subnet.
E. PC-A and PC-B are in the same subnet.
Answer: B,C

NEW QUESTION: 2
Sie müssen die Kaufanforderung implementieren.
Was sollte man tun?
A. Verwenden Sie die Sprachdienst-API, um die Stimme des Benutzers und die Bot Framework-REST-API-Konversationsvorgänge zu senden, um Absichten zu erkennen.
B. Verwenden Sie die Anhangsoperationen der Bot FrameworkREST-API, um die Stimme des Benutzers und die Sprachdienst-API zum Erkennen von Absichten zu senden.
C. Verwenden Sie die Bot Framework REST API-Konversationsoperationen, um die Stimme des Benutzers und die Sprachdienst-API zum Erkennen von Absichten zu senden.
D. Verwenden Sie die Direct Line REST-API, um die Stimme des Benutzers zu senden, und die Sprachdienst-API, um Absichten zu erkennen.
Answer: C
Explanation:
Erläuterung:
Szenario: Ermöglichen Sie es Benutzern, mit ihrer Stimme eine Bestellung zur Lieferung oder Abholung aufzugeben.
Sie müssen einen Chatbot mithilfe des Bot Builder SDK und des Language Understanding Intelligence Service (LUIS) entwickeln. Der Chatbot muss es Benutzern ermöglichen, Lebensmittel zur Abholung oder Lieferung zu bestellen.
Mit den Bot Framework-REST-APIs können Sie Bots erstellen, die Nachrichten mit im Bot Framework-Portal konfigurierten Kanälen austauschen, Statusdaten speichern und abrufen und Ihre eigenen Clientanwendungen mit Ihren Bots verbinden. Alle Bot Framework-Dienste verwenden den Industriestandard REST und JSON über HTTPS.
Die Sprachdienst-API wird zum Erkennen von Absichten verwendet.
Verweise:
https://docs.microsoft.com/de-de/azure/bot-service/rest-api/bot-framework-rest-connector-concepts?view=azure-bot-service-4.0
https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/how-to-recognize-intents-from-speech-cpp

NEW QUESTION: 3
Which of the following entity extraction techniques would be best for the extraction of telephone numbers from a text document?
A. regex
B. complex pattern-based
C. statistical
D. dictionary
Answer: C