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NEW QUESTION: 1
You plan to use Azure Monitor with AutoScale Services. You create a URI to be used with the monitoring service. You need to configure an alert that specifies the URI. Which Azure Command-Line Interface (CLI) command or Azure PowerShell cmdlet should you run?
A. New-AzureRmAlertRuleEmail
B. New-AzureRmAutoscaleRule
C. New-AzureRmAlertRuleWebhook
D. Azure insights logprofile add
Answer: C
Explanation:
The New-AzureRmAlertRuleWebhook cmdlet creates an alert rule webhook.
NEW QUESTION: 2
What is the correct order of steps in Duo Multifactor Authentication?
A. 1 Request Login
2 Check authentication / group mapping
3 Authentication Granted
4. Duo MFA
5. Create User session
6. Log into Splunk
B. 1 Request Login
2. Connect to SAML server
3 Duo MFA
4 Create User session
5 Authentication Granted 6. Log into Splunk
C. 1. Request Login 2 Duo MFA
3. Authentication Granted 4 Connect to SAML server
5. Log into Splunk
6. Create User session
D. 1 Request Login 2 Duo MFA
3. Check authentication / group mapping
4 Create User session
5. Authentication Granted
6 Log into Splunk
Answer: D
NEW QUESTION: 3
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this question, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have an Azure IoT solution that includes an Azure IoT hub, a Device Provisioning Service instance, and 1,000 connected IoT devices.
All the IoT devices are provisioned automatically by using one enrollment group. You need to temporarily disable the IoT devices from the connecting to the IoT hub.
Solution: From the IoT hub, you change the credentials for the shared access policy of the IoT devices. Does the solution meet the goal?
A. Yes
B. No
Answer: B
Explanation:
Reference:
https://docs.microsoft.com/bs-latn-ba/azure/iot-dps/how-to-unprovision-devices
NEW QUESTION: 4
Azure Stream Analytics機能を実装しています。
各要件に対してどのウィンドウ関数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: Tumbling
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.
Box 2: Hoppping
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. To make a Hopping window the same as a Tumbling window, specify the hop size to be the same as the window size.
Box 3: Sliding
Sliding window functions, unlike Tumbling or Hopping windows, produce an output only when an event occurs. Every window will have at least one event and the window continuously moves forward by an E (epsilon). Like hopping windows, events can belong to more than one sliding window.
References:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-window-functions