お知らせ:DP-203試験は2021年2月23日に受験可能となります|ktest
試験 DP-203: Data Engineering on Microsoft Azure (beta)
Azure データエンジニアリングは、様々な構造化データシステムと非構造化データシステムのデータを分析ソリューションの構築に適した構造に統合、変換、強化します。

試験DP-203の候補者として:Data Engineering on Microsoft Azureには、SQL、Python、Scalaなどのデータ処理言語に関する確かな知識が必要であり、並列処理とデータアーキテクチャのパターンを理解している必要があります。
試験 DP-203: Data Engineering on Microsoft Azure (beta)
言語: 英語
廃止日: なし
受験料:¥21103 JPY*
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You need to integrate the on-premises data sources and Azure Synapse Analytics. The solution must meet the data integration requirements.
Which type of integration runtime should you use?
A.Azure-SSIS integration runtime
B.self-hosted integration runtime
C.Azure integration runtime
Answer : A
You have an Azure Data Lake Storage account that has a virtual network service endpoint configured.
You plan to use Azure Data Factory to extract data from the Data Lake Storage account. The data will then be loaded to a data warehouse in Azure Synapse Analytics by using PolyBase.
Which authentication method should you use to access Data Lake Storage?
A.shared access key authentication
B.managed identity authentication
C.account key authentication
D.service principal authentication
Answer : B
You have an Azure Synapse Analystics dedicated SQL pool that contains a table named Contacts. Contacts contains a column named Phone.
You need to ensure that users in a specific role only see the last four digits of a phone number when querying the Phone column.
What should you include in the solution?
A.a default value
B.dynamic data masking
C.row-level security (RLS)
D.column encryption
E.table partitions
Answer : C
You develop data engineering solutions for a company.
A project requires the deployment of data to Azure Data Lake Storage.
You need to implement role-based access control (RBAC) so that project members can manage the Azure Data Lake Storage resources.
Which three actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A.Assign Azure AD security groups to Azure Data Lake Storage.
B.Configure end-user authentication for the Azure Data Lake Storage account.
C.Configure service-to-service authentication for the Azure Data Lake Storage account.
D.Create security groups in Azure Active Directory (Azure AD) and add project members.
E.Configure access control lists (ACL) for the Azure Data Lake Storage account.
Answer : A, D, E
You are designing an Azure Synapse Analytics dedicated SQL pool.
You need to ensure that you can audit access to Personally Identifiable information (PII).
What should you include in the solution?
A.dynamic data masking
B.row-level security (RLS)
C.sensitivity classifications
D.column-level security
Answer : D


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