Microsoft Updated DP-420 Exam Questions and Answers by evie-rose

Azure Monitor is a service that provides comprehensive monitoring for Azure resources, including Azure Cosmos DB. You can use Azure Monitor to collect, analyze, and alert on metrics and logs from your Azure Cosmos DB account.  You can c reate alerts for Azure Cosmos DB using Azure Monitor based on the metrics, activity log events, or Log Analytics logs on your account 1 .

For your scenario, if you want to receive an alert when requests that target the database exceed the available request units per second (RU/s), you should use the  Document Quota  metric. This metric measures the percentage of RU/s consumed by your account or container.  You can create an alert rule on this metric from the Azure portal by following these steps 2 :

In the Azure portal, select the Azure Cosmos DB account you want to monitor.

Under the Monitoring section of the sidebar, select Alerts, and then select New alert rule.

In the Create alert rule pane, fill out the Scope section by selecting your subscription name and resource type (Azure Cosmos DB accounts).

In the Condition section, select Add condition and choose Document Quota from the list of signals.

In the Configure signal logic pane, specify the threshold value and operator for your alert condition. For example, you can choose Greater than or equal to 90 as the threshold value and operator to receive an alert when your RU/s consumption reaches 90% or more of your provisioned throughput.

In the Alert rule details section, specify a name and description for your alert rule.

In the Actions section, select Add action group and choose how you want to receive notifications for your alert. For example, you can choose Email/SMS/Push/Voice as an action type and enter your email address or phone number as a receiver.

Review your alert rule settings and select Create alert rule to save it.

New and updated orders will be added to contoso-erp.orders:  Yes

The code performs bulk data ingestion from contoso-app:  No

Both contoso-app and contoso-erp have Analytics store enabled:  Yes

The code uses the spark.readStream method to read data from a container named orders in a database named contoso-app. The data is then filtered by a condition and written to another container named orders in a database named contoso-erp using the spark.writeStream method.  The write mode is set to “append”, which means that new and updated orders will be added to the destination container 1 .

The code does not perform bulk data ingestion from contoso-app, but rather stream processing. Bulk data ingestion is a process of loading large amounts of data into a data store in batches.  St ream processing is a process of continuously processing data as it arrives in real-time 2 .

Both contoso-app and contoso-erp have Analytics store enabled, because they are both accessed by Spark pools using the spark.cosmos.oltp method.  This method requires that the containers h ave Analytics store enabled, which is a feature that allows Spa rk pools to query data stored in Azure Cosmos DB containers using SQL APIs 3 .