2026年Jpshikenの最新DP-420 PDFダンプおよびDP-420試験エンジンの無料共有：https://drive.google.com/open?id=1xsl1T5oWXb2fnXXi3fbkUjYkyLNvduxl
JpshikenがMicrosoft認証DP-420試験対策ツールのサイトで開発した問題集はとてもMicrosoft認証試験の受験生に適用します。Jpshikenが提供した研修ツールが対応性的なので君の貴重な時間とエネルギーを節約できます。
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Design and implement data distribution | 5-10% | - Design and implement replication strategy
|
| Topic 2: Integrate an Azure Cosmos DB solution | 5-10% | - Enable analytical workloads
|
| Topic 3: Design and implement data models | 35-40% | - Plan and implement sizing and scaling
|
| Topic 4: Optimize an Azure Cosmos DB solution | 15-20% | - Design and implement change feeds
|
| Topic 5: Maintain an Azure Cosmos DB solution | 25-30% | - Monitor and troubleshoot Azure Cosmos DB solutions
|
DP-420試験に合格することが、最高のキャリアの機会です。関連する証明書の豊富な経験は、企業があなたの選択のために一連の専門的な空席を開くために重要です。状況によってはあなたを助けたり破ったりすることができるこの運命的な試験について、当社はこれらのDP-420練習資料を説明責任を持って作成しました。他の場所に受け入れられる可能性が高くなり、より高い給料や受け入れが得られることを理解しています。
質問 # 22
You have an Azure Cosmos DB for NoSQL account named account1 that has a single read-write region and one additional read region. Account1 uses the strong default consistency level.
You have an application that uses the eventual consistency level when submitting requests to account1.
How will writes from the application be handled?
正解：B
解説：
Overriding the default consistency level only applies to reads within the SDK client. An account configured for strong consistency by default will still write and replicate data synchronously to every region in the account. When the SDK client instance or request overrides this with Session or weaker consistency, reads will be performed using a single replica.
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/consistency-levels
質問 # 23
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?
正解：B
解説：
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.
質問 # 24
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a container named container1 in an Azure Cosmos DB Core (SQL) API account.
You need to make the contents of container1 available as reference data for an Azure Stream Analytics job.
Solution: You create an Azure function that uses Azure Cosmos DB Core (SQL) API change feed as a trigger and Azure event hub as the output.
Does this meet the goal?
正解：A
解説：
The Azure Cosmos DB change feed is a mechanism to get a continuous and incremental feed of records from an Azure Cosmos container as those records are being created or modified. Change feed support works by listening to container for any changes. It then outputs the sorted list of documents that were changed in the order in which they were modified.
The following diagram represents the data flow and components involved in the solution:
質問 # 25
You need to create a database in an Azure Cosmos DB for NoSQL account. The database will contain three containers named coll1, coll2, and coll3. The coll1 container will have unpredictable read and write volumes. The coll2 and coll3 containers will have predictable read and write volumes. The expected maximum throughput for coll1 and coll2 is 50,000 request units per second (RU/s) each.
How should you provision the collection while minimizing costs?
正解：B
解説：
Manual is best suited for workloads with steady or predictable traffic.
Autoscale workloads is best suited with variable or unpredictable traffic.
Note: Azure Cosmos DB allows you to set provisioned throughput on your databases and containers. There are two types of provisioned throughput, standard (manual) or autoscale.
Autoscale provisioned throughput in Azure Cosmos DB allows you to scale the throughput (RU/s) of your database or container automatically and instantly. The throughput is scaled based on the usage, without impacting the availability, latency, throughput, or performance of the workload.
The use cases of autoscale include:
* Variable or unpredictable workloads
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/how-to-choose-offer
質問 # 26
You plan to implement con-iot1 and con-iot2.
You need to configure the default Time to Live setting for each container. The solution must meet the loT telemetry requirements.
What should you configure? To answer, select the appropriate options in the answer NOTE: Each correct selection is worth one point.
正解：
解説：
Explanation:
Box 1 =On (no default)
For con-iot1, you need to configure the default TTL setting to On (no default), which means that items in this container do not expire by default, but you can override the TTL value on a per-item basis. This meets the requirement of retaining all telemetry data unless overridden1.
Box 2 = On (3600 seconds)
For con-iot2, you need to configure the default TTL setting to On (3600 seconds), which means that items in this container will expire 3600 seconds (one hour) after their last modified time. This meets the requirement of deleting all telemetry data older than one hour1.
質問 # 27
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状況によってはあなたを助けたり破ったりすることができるこの運命的な試験について、当社はこれらのDP-420練習資料を説明責任を持って作成しました。他の場所に受け入れられる可能性が高くなり、より高い給料や受け入れが得られることを理解しています。 DP-420トレーニング資料は当社の責任会社によって作成されているため、他の多くのメリットも得られます。参考のために無料のデモを提供し、専門家が自由に作成できる場合は新しいアップデートをお送りします。
DP-420復習時間: https://www.jpshiken.com/DP-420_shiken.html
P.S. JpshikenがGoogle Driveで共有している無料かつ新しいDP-420ダンプ：https://drive.google.com/open?id=1xsl1T5oWXb2fnXXi3fbkUjYkyLNvduxl