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Die Prüfung validiert das Wissen des Kandidaten über Azure Cosmos DB, einschließlich seiner Funktionen, Fähigkeiten und Designmuster. Es prüft auch die Fähigkeit des Kandidaten, Anwendungen mit Azure Cosmos DB zu entwerfen und zu implementieren, einschließlich der Datenmodellierung, Partitionierungsstrategien und Datenkonsistenzmodelle. Die Prüfung umfasst auch bewährte Verfahren für die Bereitstellung, Überwachung und Fehlerbehebung von cloudnativen Anwendungen mit Azure Cosmos DB.
Die Prüfung misst die Kompetenz des Kandidaten in verschiedenen Bereichen wie der Gestaltung und Implementierung von Cosmos DB-Lösungen, der Gestaltung und Implementierung von globalen Verteilungslösungen, der Gestaltung und Implementierung von nicht-relationalen Datenmodellen, der Gestaltung und Implementierung von serverseitigen Programmierungsmodellen und der Gestaltung und Implementierung von Sicherheitslösungen. Die Prüfung erfordert, dass der Kandidat seine Expertise im Umgang mit verschiedenen Tools und Technologien wie Azure Cosmos DB, Azure Functions, Azure Event Grid, Azure Stream Analytics und Azure Search demonstriert. Das Bestehen dieser Prüfung validiert die Fähigkeit des Kandidaten, cloud-native Anwendungen auf Microsoft Azure unter Verwendung von Cosmos DB zu entwerfen und zu implementieren und bereitet ihn auf eine erfolgreiche Karriere in der Entwicklung von cloud-native Anwendungen vor.
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Kandidaten, die die Microsoft DP-420-Prüfung ablegen möchten, sollten ein solides Verständnis von Azure Cosmos DB und Cloud-native Anwendungs-Entwicklungsprinzipien haben. Sie sollten auch praktische Erfahrung im Aufbau verteilter Anwendungen und in der Arbeit mit Cloud-Technologien haben. Microsoft bietet Schulungskurse und Ressourcen an, um Kandidaten bei der Vorbereitung auf die Prüfung zu unterstützen, einschließlich Online-Kursen, Lernführern und Übungsprüfungen.
189. Frage
You have an Azure Cosmos DB for NoSQL account that has multiple write regions.
You need to receive an alert when requests that target the database exceed the available request units per second (RU/s).
Which Azure Monitor signal should you use?
Antwort: D
Begründung:
Explanation
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 create alerts for Azure Cosmos DB using Azure Monitor based on the metrics, activity log events, or Log Analytics logs on your account 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 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.
190. Frage
You have a database named db1 in an Azure Cosmos DB for NoSQL
You are designing an application that will use dbl.
In db1, you are creating a new container named coll1 that will store in coll1.
The following is a sample of a document that will be stored in coll1.
The application will have the following characteristics:
* New orders will be created frequently by different customers.
* Customers will often view their past order history.
You need to select the partition key value for coll1 to support the application. The solution must minimize costs.
To what should you set the partition key?
Antwort: C
Begründung:
Based on the characteristics of the application and the provided document structure, the most suitable partition key value for coll1 in the given scenario would be the customerId, Option B.
The application frequently creates new orders by different customers and customers often view their past order history. Using customerId as the partition key would ensure that all orders associated with a particular customer are stored in the same partition. This enables efficient querying of past order history for a specific customer and reduces cross-partition queries, resulting in lower costs and improved performance.
a partition key is a JSON property (or path) within your documents that is used by Azure Cosmos DB to distribute data among multiple partitions3. A partition key should have a high cardinality, which means it should have many distinct values, such as hundreds or thousands1. A partition key should also align with the most common query patterns of your application, so that you can efficiently retrieve data by using the partition key value1.
Based on these criteria, one possible partition key that you could use for coll1 is B. customerId.
This partition key has the following advantages:
It has a high cardinality, as each customer will have a unique ID3.
It aligns with the query patterns of the application, as customers will often view their past order history3.
It minimizes costs, as it reduces the number of cross-partition queries and optimizes the storage and throughput utilization1.
This partition key also has some limitations, such as:
It may not be optimal for scenarios where orders need to be queried independently from customers or aggregated by date or other criteria3.
It may result in hot partitions or throttling if some customers create orders more frequently than others or have more data than others1.
It may not support transactions across multiple customers, as transactions are scoped to a single logical partition2.
Depending on your specific use case and requirements, you may need to adjust this partition key or choose a different one. For example, you could use a synthetic partition key that concatenates multiple properties of an item2, or you could use a partition key with a random or pre-calculated suffix to distribute the workload more evenly2.
191. Frage
You have an Azure Cosmos DB for NoSQL account named account1.
You have an app named App1 that connects to account1 and uses strong consistency for all requests.
You implement the Azure Cosmos DB integrated cache for account1.
You need to ensure that App1 uses the integrated cache.
What should you do?
Antwort: B
Begründung:
To use the Azure Cosmos DB integrated cache, you must modify your application configuration to route requests through the Dedicated Gateway and, crucially, relax the consistency level for those specific requests.
The integrated cache does not support Strong consistency. If a request uses Strong consistency, it will automatically bypass the cache and go directly to the backend partitions.
Relax Request Consistency
Since your app currently uses Strong consistency, you must override this at the request level for any read (point read or query) that you want to be cached.
The cache only supports Session or Eventual consistency.
Session consistency is recommended to maintain the "read-your-own-writes" guarantee while still utilizing the cache.
Reference:
https://learn.microsoft.com/en-us/azure/cosmos-db/integrated-cache
192. Frage
You have a container named container1 in an Azure Cosmos DB Core (SQL) API account. The container1 container has 120 GB of data.
The following is a sample of a document in container1.
The orderId property is used as the partition key.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Antwort:
Begründung:
193. Frage
You have a container in an Azure Cosmos DB Core (SQL) API account. The container stores telemetry data from IoT devices. The container uses telemetryId as the partition key and has a throughput of 1,000 request units per second (RU/s). Approximately 5,000 IoT devices submit data every five minutes by using the same telemetryId value.
You have an application that performs analytics on the data and frequently reads telemetry data for a single IoT device to perform trend analysis.
The following is a sample of a document in the container.
You need to reduce the amount of request units (RUs) consumed by the analytics application.
What should you do?
Antwort: D
Begründung:
Explanation
The partition key is what will determine how data is routed in the various partitions by Cosmos DB and needs to make sense in the context of your specific scenario. The IoT Device ID is generally the "natural" partition key for IoT applications.
Reference: https://docs.microsoft.com/en-us/azure/architecture/solution-ideas/articles/iot-using-cosmos-db
194. Frage
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