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弊社のDP-420練習資料は、さまざまな学位の受験者に適しています。この受験者は、この分野の知識のレベルに関係なく互換性があります。 これらのDesigning and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DBトレーニング資料は、当社にとって名誉あるものであり、お客様の目標を達成するための最大の特権として扱っています。 一方、理論と実践を離婚することはできませんが、心配する必要はありません。刺激テストの質問があり、学習と実践の両方を同時に行うことができます。 私たちの知る限り、DP-420試験準備は何百万人もの受験者に夢を追いかけ、より効率的に学習するように動機付けました。 DP-420の練習資料は、あなたを失望させません。
この試験では、Azure Cosmos DBに関連するさまざまなトピック、パーティション化やスケーリング、データモデリング、インデックス作成、クエリ、パフォーマンスチューニングなど。さらに、候補者は、マイクロサービス、コンテナ化、サーバーレスコンピューティングなど、クラウドネイティブアプリケーションの設計原則に関する知識についてテストされます。
Microsoft DP-420試験は、クラウドコンピューティング、Azure、およびNoSQLデータ管理の経験を持つ開発者、アーキテクト、およびデータベース管理者を対象としています。DP-420試験に合格した候補者は、Azure Cosmos DBを使用してクラウドネイティブアプリケーションを設計および実装する能力を証明できます。また、グローバルにスケーリングし、高可用性を提供し、効率的に実行するソリューションを作成する能力も持っています。この試験に合格することは、クラウドネイティブアプリケーション開発の専門知識を示し、専門家としての市場価値を高める優れた方法です。
MicrosoftのDP-420試験に参加するのは大ブレークになる一方が、DP-420試験情報は雑多などの問題が注目している。たくさんの品質高く問題集を取り除き、我々JPNTestのDP-420問題集を選らんでくださいませんか。我々のDP-420問題集はあなたに質高いかつ完備の情報を提供し、成功へ近道のショットカットになります。
Microsoft DP-420試験の準備にあたっては、Azure Cosmos DBを含むクラウドネイティブアプリケーションの開発パターンやベストプラクティスを含むクラウドネイティブアプリケーション開発について堅固な理解が必要です。候補者はAzure Cosmos DBを使用したクラウドネイティブアプリケーションの開発と導入に実践的な経験を持つ必要があります。
質問 # 36
You have an Azure Cosmos DB Core (SQL) API account named storage1 that uses provisioned throughput capacity mode.
The storage1 account contains the databases shown in the following table.
The databases contain the containers shown in the following table.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
正解：
解説：
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/plan-manage-costs
https://azure.microsoft.com/en-us/pricing/details/cosmos-db/
質問 # 37
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 an Azure Cosmos DB Core (SQL) API account named account 1 that uses autoscale throughput.
You need to run an Azure function when the normalized request units per second for a container in account1 exceeds a specific value.
Solution: You configure an application to use the change feed processor to read the change feed and you configure the application to trigger the function.
Does this meet the goal?
正解：B
解説：
Instead configure an Azure Monitor alert to trigger the function.
You can set up alerts from the Azure Cosmos DB pane or the Azure Monitor service in the Azure portal.
Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/create-alerts
質問 # 38
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 to copy data to another Azure Cosmos DB Core (SQL) API container.
Does this meet the goal?
正解：B
解説：
Instead: Create an Azure function that uses Azure Cosmos DB Core (SQL) API change feed as a trigger and Azure event hub as the output.
Note: 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:
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/sql/changefeed-ecommerce-solution
質問 # 39
Hotspot Question
You configure a backup for an Azure Cosmos DB for NoSQL account as shown in the following exhibit.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.
正解：
解説：
Explanation:
Box 1: 12 hours
The number of copies stored depends on the interval and the retention period.
The default retention backup intervall is 240 minutes (4h) and the retention period is 8h, thats why
2 copies are stored by default. The first 2 copies are free as well.
In this example, every 2h a copy is created and is kept for 12h. This means there can be up to 6 copies. 4 of the 6 copies are billed according to Azure blob storage pricing.
Box 2: create a support ticket
Request data restore from a backup
If you accidentally delete your database or a container, you can file a support ticket or call the Azure support to restore the data from automatic online backups.
Note: With Azure Cosmos DB SQL API accounts, you can also maintain your own backups by using one of the following approaches:
Use Azure Data Factory to move data periodically to a storage of your choice.
Use Azure Cosmos DB change feed to read data periodically for full backups or for incremental changes, and store it in your own storage.
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/configure-periodic-backup-restore
質問 # 40
You plan to deploy two Azure Cosmos DB Core (SQL) API accounts that will each contain a single database.
The accounts will be configured as shown in the following table.
How should you provision the containers within each account to minimize costs? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
正解：
解説：
Explanation:
Box 1: Serverless capacity mode
Azure Cosmos DB serverless best fits scenarios where you expect intermittent and unpredictable traffic with long idle times. Because provisioning capacity in such situations isn ' t required and may be cost-prohibitive, Azure Cosmos DB serverless should be considered in the following use-cases:
Getting started with Azure Cosmos DB
Running applications with bursty, intermittent traffic that is hard to forecast, or low ( < 10%) average-to-peak traffic ratio Developing, testing, prototyping and running in production new applications where the traffic pattern is unknown Integrating with serverless compute services like Azure Functions Box 2: Provisioned throughput capacity mode and autoscale throughput The use cases of autoscale include:
Variable or unpredictable workloads: When your workloads have variable or unpredictable spikes in usage, autoscale helps by automatically scaling up and down based on usage. Examples include retail websites that have different traffic patterns depending on seasonality; IOT workloads that have spikes at various times during the day; line of business applications that see peak usage a few times a month or year, and more. With autoscale, you no longer need to manually provision for peak or average capacity.
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/serverless
https://docs.microsoft.com/en-us/azure/cosmos-db/provision-throughput-autoscale#use-cases-of-autoscale
質問 # 41
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DP-420最新テスト: https://www.jpntest.com/shiken/DP-420-mondaishu
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