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NEW QUESTION: 1
Which two statements about UDLD aggressive mode are true? (Choose two.)
A. If a unidirectional link is detected, the port state is changed to errdisable.
B. If a unidirectional link is detected, the port state is determined by spanning tree.
C. UDLD message are send every 15 seconds.
D. UDLD automatically chooses the messaging interval based on the configured timers.
E. UDLD attempts to re-establish a downed link one time before declaring the link down.
F. The UDLD detection timer is four times the message interval by default
Answer: A,C
NEW QUESTION: 2
You have an Azure Storage account named storage1 that uses Azure Blob storage and Azure File storage.
You need to use AzCopy to copy data to the blob storage and file storage in storage1.
Which authentication method should you use for each type of storage? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
You can provide authorization credentials by using Azure Active Directory (AD), or by using a Shared Access Signature (SAS) token.
Box 1:
Both Azure Active Directory (AD) and Shared Access Signature (SAS) token are supported for Blob storage.
Box 2:
Only Shared Access Signature (SAS) token is supported for File storage.
Reference:
https://docs.microsoft.com/en-us/azure/storage/common/storage-use-azcopy-v10
NEW QUESTION: 3
You have an Azure Stream Analytics job that is a Stream Analytics project solution in Microsoft Visual Studio. The job accepts data generated by IoT devices in the JSON format.
You need to modify the job to accept data generated by the IoT devices in the Protobuf format.
Which three actions should you perform from Visual Studio in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation
Step 1: Add an Azure Stream Analytics Custom Deserializer Project (.NET) project to the solution.
Create a custom deserializer
1. Open Visual Studio and select File > New > Project. Search for Stream Analytics and select Azure Stream Analytics Custom Deserializer Project (.NET). Give the project a name, like Protobuf Deserializer.
2. In Solution Explorer, right-click your Protobuf Deserializer project and select Manage NuGet Packages from the menu. Then install the Microsoft.Azure.StreamAnalytics and Google.Protobuf NuGet packages.
3. Add the MessageBodyProto class and the MessageBodyDeserializer class to your project.
4. Build the Protobuf Deserializer project.
Step 2: Add .NET deserializer code for Protobuf to the custom deserializer project Azure Stream Analytics has built-in support for three data formats: JSON, CSV, and Avro. With custom .NET deserializers, you can read data from other formats such as Protocol Buffer, Bond and other user defined formats for both cloud and edge jobs.
Step 3: Add an Azure Stream Analytics Application project to the solution Add an Azure Stream Analytics project
1. In Solution Explorer, right-click the Protobuf Deserializer solution and select Add > New Project. Under Azure Stream Analytics > Stream Analytics, choose Azure Stream Analytics Application. Name it ProtobufCloudDeserializer and select OK.
2. Right-click References under the ProtobufCloudDeserializer Azure Stream Analytics project. Under Projects, add Protobuf Deserializer. It should be automatically populated for you.
Reference:
https://docs.microsoft.com/en-us/azure/stream-analytics/custom-deserializer
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