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NEW QUESTION: 1
ネットワークにcontoso.comという名前のActive Directoryドメインが含まれています。ドメインには、Windows 10を実行し、ドメインに参加しているComputer1とComputer2という名前の2つのコンピューターが含まれています。
Computer1で、Subscription1展示に示されているように、Computer2のSubscription1という名前のイベントサブスクリプションを作成します。 （「Subcription1」タブをクリックします。）

Subscription1は、転送されたイベントを宛先ログとして使用するように構成されています。
Computer1で、View1展示に示されているように、View1という名前のカスタムビューを作成します。 （[View1]タブをクリックします。）

次の各ステートメントについて、ステートメントがtrueの場合は[はい]を選択します。それ以外の場合は、[いいえ]を選択します。
注：それぞれの正しい選択は1ポイントの価値があります。

Answer:
Explanation:

NEW QUESTION: 2
Assuming that an audit team breach of duty occurred during a third party audit, which of the following could potentially initiate liable action?
A. The audit team
B. The auditee management
C. The lead auditor
D. The audit manager
Answer: B

NEW QUESTION: 3
Your company analyzes images from security cameras and sends to security teams that respond to unusual activity. The solution uses Azure Databricks.
You need to send Apache Spark level events, Spark Structured Streaming metrics, and application metrics to Azure Monitor.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions in the answer area and arrange them in the correct order.

Answer:
Explanation:

You can send application logs and metrics from Azure Databricks to a Log Analytics workspace.
Spark uses a configurable metrics system based on the Dropwizard Metrics Library.
Prerequisites: Configure your Azure Databricks cluster to use the monitoring library.
Note: The monitoring library streams Apache Spark level events and Spark Structured Streaming metrics from your jobs to Azure Monitor.
To send application metrics from Azure Databricks application code to Azure Monitor, follow these steps:
Step 1. Build the spark-listeners-loganalytics-1.0-SNAPSHOT.jar JAR file Step 2: Create Dropwizard gauges or counters in your application code.
Reference:
https://docs.microsoft.com/bs-latn-ba/azure/architecture/databricks-monitoring/application-logs

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