Microsoft DP-420熱門證照 & DP-420試題

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Microsoft DP-420(設計並實施使用Microsoft Azure Cosmos DB的雲原生應用程序)認證考試針對希望展示他們在設計並實施使用Microsoft Azure Cosmos DB的雲原生應用程序方面的專業知識的專業人員設計。此認證驗證候選人能夠設計和實施可擴展且高可用的基於雲的應用程序,並使用Azure Cosmos DB。

>> Microsoft DP-420熱門證照 <<

覆蓋全面的Microsoft DP-420熱門證照是行業領先材料和經過驗證的DP-420:Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB

Microsoft的DP-420考試認證是屬於那些熱門的IT認證,也是雄心勃勃的IT專業人士的夢想,這部分考生需要做好充分的準備,讓他們在DP-420考試中獲得最高分,使自己的配置檔相容市場需求。

Microsoft DP-420認證考試是雲開發人員展示他們在使用Azure Cosmos DB設計和實施原生雲應用程序方面專業知識的絕佳機會。通過這個考試可以驗證候選人在使用Cosmos DB創建安全、可擴展和高可用性應用程序方面的知識和技能。這個認證是想在使用Microsoft Azure進行原生雲應用程序開發方面提升職業前景的開發人員的重要要求。

最新的 Azure Cosmos DB Developer Specialty DP-420 免費考試真題 (Q39-Q44):

問題 #39
You plan to create an Azure Cosmos DB database named db1 that will contain two containers. One of the containers will contain blog posts, and the other will contain users. Each item in the blog post container will include:
* A single blog post
* All the comments associated to the blog post
* The names of the users who created the blog post and added the comments.
You need to design a solution to update usernames m the user container without causing data integrity issues. The solution must minimize administrative and development effort. What should you include in the solution? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

答案:

解題說明:


問題 #40
You have a container in an Azure Cosmos DB for NoSQL account.
Data update volumes are unpredictable.
You need to process the change feed of the container by using a web app that has multiple instances. The change feed will be processed by using the change feed processor from the Azure Cosmos DB SDK. The multiple instances must share the workload.
Which three actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

答案:D,E,F

解題說明:
A: Implementing the change feed processor.
The point of entry is always the monitored container, from a Container instance you call GetChangeFeedProcessorBuilder.
C: You define the compute instance name or unique identifier with WithInstanceName, this should be unique and different in each compute instance you are deploying.
F: The lease container: The lease container acts as a state storage and coordinates processing the change feed across multiple workers. The lease container can be stored in the same account as the monitored container or in a separate account.
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/sql/change-feed-processor


問題 #41
You plan to create an Azure Cosmos DB account that will use the NoSQL API.
You need to create a grouping strategy for items that will be stored in the account. The solution must ensure that write and read operations on the items can be performed within the same transaction.
What should you use to group the items?

答案:B

解題說明:
Azure Cosmos DB supports full ACID compliant transactions with snapshot isolation for operations within the same logical partition key.
https://learn.microsoft.com/en-us/azure/cosmos-db/nosql/how-to-manage-consistency?tabs=portal%2Cdotnetv2%2Capi-async#override-the-default-consistency-level


問題 #42
You have an Azure subscription that contains an Azure Cosmos DB for NoSQL account named account1.
In account1, you plan to create a container that will store the data items shown in the following table.

Each customer item will have customer sales by month values embedded.
The most executed query will return data for a matrix that aggregates the monthly sales of each business category. The matrix will use customer business categories as columns and months as rows.
You need to configure the partition key for the container. The solution must minimize the request units (RUs) required to run the query.
Which property should you use for the partition key?

答案:B

解題說明:
The correct property to use for the partition key is customerBusinessCategoryId.
Selecting customerBusinessCategoryId as the partition key minimizes Request Units (RUs) for the following reasons:
Query Alignment: The most frequent query aggregates monthly sales per business category.
Single-Partition Efficiency: By partitioning by customerBusinessCategoryId, all customer records belonging to the same business category are stored within the same logical partition.
Reduced Overhead: The aggregation query can be routed to a single partition (or a specific set of partitions for each category) rather than scanning every partition in the container (a cross-partition query), which significantly lowers RU consumption.
Data Distribution: With 100 unique categories, the data is distributed enough to avoid major performance bottlenecks while still keeping related records together for the specific aggregation required by the matrix.
Incorrect:
Other options like customerName or customerSalesForMonth would result in expensive cross- partition queries because the data needed for a single business category's aggregate would be scattered across many different partitions.
Reference:
https://docs.azure.cn/en-us/cosmos-db/partitioning


問題 #43
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?

答案:A

解題說明:
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


問題 #44
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DP-420試題: https://www.vcesoft.com/DP-420-pdf.html

順便提一下,可以從雲存儲中下載VCESoft DP-420考試題庫的完整版:https://drive.google.com/open?id=1HyoDQZfZZ7AkN0cdlyrJ9_J6Yth4CiMM