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NEW QUESTION: 1
DRAG DROP
You manage a bot in a serverless architecture.
The bot provides custom responses to questions based upon the identity of the user.
The bot must meet the following requirements:
Identify the user by face.
Provide text-to-speech reading of questions to the user.
Analyze the text of the user's responses for patterns.
What should you recommend? To answer, drag the appropriate solution to the correct scenario. Each solution may be used once, more than once, or not at all. You may need to drag the split bar between panes to scroll or view content.
NOTE: Each correct selection is worth one point.
Select and Place:
Answer:
Explanation:
Explanation/Reference:
Explanation:
Note: With Azure, built-in intelligence is within the reach of all app developers. Enable your serverless code or logic to use Machine Learning and Cognitive Services.
Box 1, Identify users by face: Azure Cognitive Services
Microsoft Face API, a cloud-based service that provides the most advanced face algorithms. Face API has two main functions: face detection with attributes and face recognition.
Box 2, Provide text-to-speech services: Azure Cognitive Services
Infuse your apps, websites and bots with intelligent algorithms to see, hear, speak, understand and interpret your user needs through natural methods of communication.
Example:
Speech: Convert spoken audio into text, use voice for verification, or add speaker recognition to your app.
Box 3, Read questions to users: Azure Functions
Azure Functions is a serverless solution.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/face/overview
https://azure.microsoft.com/en-us/services/cognitive-services/
NEW QUESTION: 2
As shown in the following figure, what routes can R2 learn?
A. R2 can learn the route 10.1.1.0/24.
B. R2 can learn routes 10.1.2.0/24 and 10.1.3.0/24.
C. R2 can learn the LSPs of R1 but cannot add them to the routing table.
D. R2 can learn all the routes of R1.
Answer: D
NEW QUESTION: 3
Sie verwalten eine Microsoft SQL Server 2012-Instanz, für die mehrere SQL Server-Agent-Jobs konfiguriert sind.
Wenn SQL Server-Agent-Aufträge fehlschlagen, werden die von den Auftragsschritten zurückgegebenen Fehlermeldungen abgeschnitten.
Die folgende Fehlermeldung ist ein Beispiel für die abgeschnittene Fehlermeldung:
Msgstr "Als Benutzer CONTOSO \ ServiceAccount .... 0.4035.00 für 64 - Bit - Copyright (C) Microsoft Corp
1984-2011. Alle Rechte vorbehalten. Gestartet 63513 PM Fehler 2012-06-23 183536.87 Code 0XC001000E Source UserImport Beschreibung Code 0x00000000 Source Log Import Aktivitätsbeschreibung ... Die Paketausführung fA.
.. Der Schritt ist fehlgeschlagen. "
Sie müssen sicherstellen, dass alle Details der Jobschrittfehler für SQL Server-Agent-Jobs beibehalten werden.
Was tun?
A. Ausgabedateien konfigurieren.
B. Konfigurieren Sie die Ereignisweiterleitung.
C. Deaktivieren Sie die Funktion "Limit size of job history log".
D. Erweitern Sie die Agentenprotokollierung, um Informationen von allen Ereignissen einzuschließen.
Answer: A
NEW QUESTION: 4
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Anomaly detection encompasses many important tasks in machine learning:
Identifying transactions that are potentially fraudulent.
Learning patterns that indicate that a network intrusion has occurred.
Finding abnormal clusters of patients.
Checking values entered into a system.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/anomaly-detection