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NEW QUESTION: 1
Use the following login credentials as needed:
Azure Username: xxxxx
Azure Password: xxxxx
The following information is for technical support purposes only:
Lab Instance: 10277521
You plan to create multiple pipelines in a new Azure Data Factory V2.
You need to create the data factory, and then create a scheduled trigger for the planned pipelines. The trigger must execute every two hours starting at 24:00:00.
To complete this task, sign in to the Azure portal.
Answer:
Explanation:
See the explanation below.
Explanation
Step 1: Create a new Azure Data Factory V2
1. Go to the Azure portal.
2. Select Create a resource on the left menu, select Analytics, and then select Data Factory.
4. On the New data factory page, enter a name.
5. For Subscription, select your Azure subscription in which you want to create the data factory.
6. For Resource Group, use one of the following steps:
Select Use existing, and select an existing resource group from the list.
Select Create new, and enter the name of a resource group.
7. For Version, select V2.
8. For Location, select the location for the data factory.
9. Select Create.
10. After the creation is complete, you see the Data Factory page.
Step 2: Create a schedule trigger for the Data Factory
1. Select the Data Factory you created, and switch to the Edit tab.
2. Click Trigger on the menu, and click New/Edit.
3. In the Add Triggers page, click Choose trigger..., and click New.
4. In the New Trigger page, do the following steps:
a. Confirm that Schedule is selected for Type.
b. Specify the start datetime of the trigger for Start Date (UTC) to: 24:00:00 c. Specify Recurrence for the trigger. Select Every Hour, and enter 2 in the text box.
5. In the New Trigger window, check the Activated option, and click Next.
6. In the New Trigger page, review the warning message, and click Finish.
7. Click Publish to publish changes to Data Factory. Until you publish changes to Data Factory, the trigger does not start triggering the pipeline runs.
References:
https://docs.microsoft.com/en-us/azure/data-factory/quickstart-create-data-factory-portal
https://docs.microsoft.com/en-us/azure/data-factory/how-to-create-schedule-trigger
NEW QUESTION: 2
Which of the following statements about packet filtering is true?
A. It is used to send confidential data on the public network.
B. It allows or restricts the flow of specific types of packets to provide security.
C. It is used to store information about confidential data.
D. It allows or restricts the flow of encrypted packets to provide security.
Answer: B
Explanation:
Explanation/Reference:
Explanation:
Packet filtering is a method that allows or restricts the flow of specific types of packets to provide security.
It analyzes the incoming and outgoing packets and lets them pass or stops them at a network interface based on the source and destination addresses, ports, or protocols. Packet filtering provides a way to define precisely which type of IP traffic is allowed to cross the firewall of an intranet. IP packet filtering is important when users from private intranets connect to public networks, such as the Internet.
NEW QUESTION: 3
What are two features that distance-vector routing protocols can use to address the count-to-infinity
problem? (Choose two.)
A. route poisoning
B. route tagging
C. adjacency dead timers
D. triggered updates
E. split horizon
Answer: A,E