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NEW QUESTION: 1
ログポリシーを実装する必要があります。
Azure Event Gridサブスクリプションをどのように完了する必要がありますか？回答するには、適切なJSONセグメントを正しい場所にドラッグします。各JSONセグメントは、1回、複数回、またはまったく使用されない可能性があります。コンテンツを表示するには、ペイン間の分割バーをドラッグするか、スクロールする必要があります。
注：それぞれ正しい選択は1ポイントの価値があります。
Answer:
Explanation:
Explanation
Box 1:WebHook
Scenario: If an anomaly is detected, an Azure Function that emails administrators is called by using an HTTP WebHook.
endpointType: The type of endpoint for the subscription (webhook/HTTP, Event Hub, or queue).
Box 2: SubjectBeginsWith
Box 3: Microsoft.Storage.BlobCreated
Scenario: Log Policy
All Azure App Service Web Apps must write logs to Azure Blob storage. All log files should be saved to a container named logdrop. Logs must remain in the container for 15 days.
Example subscription schema
{
"properties": {
"destination": {
"endpointType": "webhook",
"properties": {
"endpointUrl":
"https://example.azurewebsites.net/api/HttpTriggerCSharp1?code=VXbGWce53l48Mt8wuotr0GPmyJ/nDT4hgd
}
},
"filter": {
"includedEventTypes": [ "Microsoft.Storage.BlobCreated", "Microsoft.Storage.BlobDeleted" ],
"subjectBeginsWith": "blobServices/default/containers/mycontainer/log",
"subjectEndsWith": ".jpg",
"isSubjectCaseSensitive ": "true"
}
}
}
References:
https://docs.microsoft.com/en-us/azure/event-grid/subscription-creation-schema
NEW QUESTION: 2
Trunk ports can allow multiple VLANs to pass, including VLAN4096.
A. False
B. True
Answer: A
NEW QUESTION: 3
Exhibit:
Referring to the exhibit, you need to implement VPLS between CE-A1 and CE-A2 You must ensure that no loops are created due to the multihoming of the connection from CE-A2 to PE2 and PE3.
Based on the type of VPLS, which two solutions will satisfy this requirement? (Choose two.)
A. In a BGP VPLS, configure multihoming and local preference on PE-2 and PE-3.
B. In an LDP VPLS. configure multihoming and local preference on PE-2 and PE-3
C. In an LDP VPLS, configure a primary and backup neighbor.
D. In a BGP VPLS, configure a primary and backup neighbor.
Answer: A,C
NEW QUESTION: 4
You are building an intelligent solution using machine learning models.
The environment must support the following requirements:
* Data scientists must build notebooks in a cloud environment
* Data scientists must use automatic feature engineering and model building in machine learning pipelines.
* Notebooks must be deployed to retrain using Spark instances with dynamic worker allocation.
* Notebooks must be exportable to be version controlled locally.
You need to create the environment.
Which four actions should you perform 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: Create an Azure HDInsight cluster to include the Apache Spark Mlib library Step 2: Install Microsot Machine Learning for Apache Spark You install AzureML on your Azure HDInsight cluster.
Microsoft Machine Learning for Apache Spark (MMLSpark) provides a number of deep learning and data science tools for Apache Spark, including seamless integration of Spark Machine Learning pipelines with Microsoft Cognitive Toolkit (CNTK) and OpenCV, enabling you to quickly create powerful, highly-scalable predictive and analytical models for large image and text datasets.
Step 3: Create and execute the Zeppelin notebooks on the cluster
Step 4: When the cluster is ready, export Zeppelin notebooks to a local environment.
Notebooks must be exportable to be version controlled locally.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-zeppelin-notebook
https://azuremlbuild.blob.core.windows.net/pysparkapi/intro.html