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NEW QUESTION: 1
Siehe Ausstellung.


Ein Netzwerkadministrator übernimmt die Aufgabe, die Konnektivität zwischen PC A und dem Dateiserver herzustellen.
Switch A und Switch B wurden teilweise mit VLAN 10, 11, 12 und 13 konfiguriert. Was ist der nächste Schritt in der Konfiguration?
A. Fügen Sie einen Router auf einem Stick zwischen Switch A und Switch B hinzu, um das Inter-VLAN-Routing zu ermöglichen.
B. Fügen Sie PC V zu VLAN 10 und den Dateiserver zu VLAN 11 für die VLAN-Segmentierung hinzu
C. Fügen Sie VLAN 13 zu den Trunk-Links auf Switch A und Switch B für die VLAN-Weitergabe hinzu
D. Fügen Sie PC A zum selben Subnetz wie der Fie-Server hinzu, um die Kommunikation innerhalb des VLAN zu ermöglichen.
Answer: C

NEW QUESTION: 2

A. Option D
B. Option C
C. Option E
D. Option A
E. Option B
Answer: D

NEW QUESTION: 3

A. Option D
B. Option A
C. Option C
D. Option B
Answer: C

NEW QUESTION: 4
How should you complete the GROUP BY clause to meet the Streaming Analytics requirements?
A. GROUP BY SlidingWindow(Second, 30)
B. GROUP BY HoppingWindow(Second, 60, 30)
C. GROUP BY TumblingWindow(Second, 30)
D. GROUP BY SessionWindow(Second, 30, 60)
Answer: C
Explanation:
Scenario: You plan to use a 30-second period to calculate the average temperature reading of the sensors.
Tumbling window functions are used to segment a data stream into distinct time segments and perform a function against them, such as the example below. The key differentiators of a Tumbling window are that they repeat, do not overlap, and an event cannot belong to more than one tumbling window.
InAnswers:
A: Hopping window functions hop forward in time by a fixed period. It may be easy to think of them as Tumbling windows that can overlap, so events can belong to more than one Hopping window result set.
Reference:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-window-functions
Topic 1, Contoso
To start the case study
To display the first question on this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.
Existing Environment. Current State of Development
Contoso produces a set of Bluetooth sensors that read the temperature and humidity. The sensors connect to IoT gateway devices that relay the data.
All the IoT gateway devices connect to an Azure IoT hub named iothub1.
Existing Environment. Device Twin
You plan to implement device twins by using the following JSON sample.

Existing Environment. Azure Stream Analytics
Each room will have between three to five sensors that will generate readings that are sent to a single IoT gateway device. The IoT gateway device will forward all the readings to iothub1 at intervals of between 10 and 60 seconds.
You plan to use a gateway pattern so that each IoT gateway device will have its own IoT Hub device identity.
You draft the following query, which is missing the GROUP BY clause.
SELECT
AVG(temperature),
System.TimeStamp() AS AsaTime
FROM
Iothub
You plan to use a 30-second period to calculate the average temperature reading of the sensors.
You plan to minimize latency between the condition reported by the sensors and the corresponding alert issued by the Stream Analytics job.
Existing Environment. Device Messages
The IoT gateway devices will send messages that contain the following JSON data whenever the temperature exceeds a specified threshold.

The level property will be used to route the messages to an Azure Service Bus queue endpoint named criticalep.
Existing Environment. Issues
You discover connectivity issues between the IoT gateway devices and iothub1, which cause IoT devices to lose connectivity and messages.
Requirements. Planning Changes
Contoso plans to make the following changes:
Use Stream Analytics to process and view data.
Use Azure Time Series Insights to visualize data.
Implement a system to sync device statuses and required settings.
Add extra information to messages by using message enrichment.
Create a notification system to send an alert if a condition exceeds a specified threshold.
Implement a system to identify what causes the intermittent connection issues and lost messages.
Requirements. Technical Requirements
Contoso must meet the following requirements:
Use the built-in functions of IoT Hub whenever possible.
Minimize hardware and software costs whenever possible.
Minimize administrative effort to provision devices at scale.
Implement a system to trace message flow to and from iothub1.
Minimize the amount of custom coding required to implement the planned changes.
Prevent read operations from being negatively affected when you implement additional services.