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DP-203考試關注各種主題,包括數據存儲解決方案、數據處理解決方案、數據監控和優化,以及在數據解決方案中實施安全和隱私措施。通過此考試的候選人將證明他們在設計和實施數據解決方案,將數據解決方案與其他服務和工具集成,以及實施數據安全和隱私措施方面的熟練程度。
Microsoft DP-203認證考試包括各種主題,包括設計和實施數據存儲解決方案,設計和實施數據處理解決方案,監視和優化數據解決方案以及設計和實施數據安全。考試分為兩個部分,第一部分包括多項選擇問題,而第二部分要求候選人完成與考試中涵蓋的主題有關的實用任務。
Fast2test就是一個專門為Microsoft專業人士提供相關DP-203認證考試的資訊來源的網站。通過很多使用過Fast2test的產品的人反映,Fast2test被證明是最好的資訊來源網站。Fast2test的產品是一個很可靠的培訓工具。Fast2test提供的DP-203考試練習題的答案是非常準確的。我們的Fast2test的資深專家正在不斷地提升我們的培訓資料的品質。
DP-203考試涵蓋了與Azure上的數據工程相關的各種主題,包括數據存儲解決方案、數據處理、數據集成、數據安全和數據監控和優化。候選人需要展示他們對各種Azure數據處理服務和工具的理解,例如Azure數據工廠、Azure Databricks、Azure HDInsight和Azure Synapse Analytics。
問題 #231
You have an Azure Data Lake Storage Gen 2 account named storage1.
You need to recommend a solution for accessing the content in storage1. The solution must meet the following requirements:
List and read permissions must be granted at the storage account level.
Additional permissions can be applied to individual objects in storage1.
Security principals from Microsoft Azure Active Directory (Azure AD), part of Microsoft Entra, must be used for authentication.
What should you use? To answer, drag the appropriate components to the correct requirements. Each component may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
答案:
解題說明:
Explanation
Box 1: Role-based access control (RBAC) roles
List and read permissions must be granted at the storage account level.
Security principals from Microsoft Azure Active Directory (Azure AD), part of Microsoft Entra, must be used for authentication.
Role-based access control (Azure RBAC)
Azure RBAC uses role assignments to apply sets of permissions to security principals. A security principal is an object that represents a user, group, service principal, or managed identity that is defined in Azure Active Directory (AD). A permission set can give a security principal a "coarse-grain" level of access such as read or write access to all of the data in a storage account or all of the data in a container.
Box 2: Access control lists (ACLs)
Additional permissions can be applied to individual objects in storage1.
Access control lists (ACLs)
ACLs give you the ability to apply "finer grain" level of access to directories and files. An ACL is a permission construct that contains a series of ACL entries. Each ACL entry associates security principal with an access level.
Reference: https://learn.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-access-control-model
問題 #232
You have an Azure Blob storage account that contains a folder. The folder contains 120,000 files. Each file contains 62 columns.
Each day, 1,500 new files are added to the folder.
You plan to incrementally load five data columns from each new file into an Azure Synapse Analytics workspace.
You need to minimize how long it takes to perform the incremental loads.
What should you use to store the files and format?
答案:
解題說明:
問題 #233
You are designing a real-time dashboard solution that will visualize streaming data from remote sensors that connect to the internet. The streaming data must be aggregated to show the average value of each 10-second interval. The data will be discarded after being displayed in the dashboard.
The solution will use Azure Stream Analytics and must meet the following requirements:
Minimize latency from an Azure Event hub to the dashboard.
Minimize the required storage.
Minimize 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:
Reference:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-power-bi-dashboard
問題 #234
You are designing an Azure Data Lake Storage solution that will transform raw JSON files for use in an analytical workload.
You need to recommend a format for the transformed files. The solution must meet the following requirements:
* Contain information about the data types of each column in the files.
* Support querying a subset of columns in the files.
* Support read-heavy analytical workloads.
* Minimize the file size.
What should you recommend?
答案:A
解題說明:
Parquet, an open-source file format for Hadoop, stores nested data structures in a flat columnar format.
Compared to a traditional approach where data is stored in a row-oriented approach, Parquet file format is more efficient in terms of storage and performance.
It is especially good for queries that read particular columns from a "wide" (with many columns) table since only needed columns are read, and IO is minimized.
Reference: https://www.clairvoyant.ai/blog/big-data-file-formats
問題 #235
You are designing a slowly changing dimension (SCD) for supplier data in an Azure Synapse Analytics dedicated SQL pool.
You plan to keep a record of changes to the available fields.
The supplier data contains the following columns.
Which three additional columns should you add to the data to create a Type 2 SCD? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
答案:A,B,F
解題說明:
Reference:
https://docs.microsoft.com/en-us/sql/integration-services/data-flow/transformations/slowly-changing-dimension-
問題 #236
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