有效的Microsoft DP-700：Implementing Data Engineering Solutions Using Microsoft Fabric PDF -熱門的Fast2test DP-700考古題介紹

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Microsoft DP-700 考試大綱：

主題	簡介
主題 1	Implement and manage an analytics solution: This section of the exam measures the skills of Microsoft Data Analysts regarding configuring various workspace settings in Microsoft Fabric. It focuses on setting up Microsoft Fabric workspaces, including Spark and domain workspace configurations, as well as implementing lifecycle management and version control. One skill to be measured is creating deployment pipelines for analytics solutions.
主題 2	Monitor and optimize an analytics solution: This section of the exam measures the skills of Data Analysts in monitoring various components of analytics solutions in Microsoft Fabric. It focuses on tracking data ingestion, transformation processes, and semantic model refreshes while configuring alerts for error resolution. One skill to be measured is identifying performance bottlenecks in analytics workflows.
主題 3	Ingest and transform data: This section of the exam measures the skills of Data Engineers that cover designing and implementing data loading patterns. It emphasizes preparing data for loading into dimensional models, handling batch and streaming data ingestion, and transforming data using various methods. A skill to be measured is applying appropriate transformation techniques to ensure data quality.

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DP-700考古題介紹，DP-700考試資料

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最新的 Microsoft Certified: Fabric Data Engineer Associate DP-700 免費考試真題 (Q35-Q40):

問題 #35
You have a Fabric workspace that contains a warehouse named Warehouse1.
You have an on-premises Microsoft SQL Server database named Database1 that is accessed by using an on- premises data gateway.
You need to copy data from Database1 to Warehouse1.
Which item should you use?

A. a data pipeline
B. a notebook
C. a KQL queryset
D. a Dataflow Gen1 dataflow

答案：A

解題說明：
To copy data from an on-premises Microsoft SQL Server database (Database1) to a warehouse (Warehouse1) in Microsoft Fabric, the best option is to use a data pipeline. A data pipeline in Fabric allows for the orchestration of data movement, from source to destination, using connectors, transformations, and scheduled workflows. Since the data is being transferred from an on-premises database and requires the use of a data gateway, a data pipeline provides the appropriate framework to facilitate this data movement efficiently and reliably.

問題 #36
You have a Fabric workspace that contains a warehouse named Warehouse1. Data is loaded daily into Warehouse1 by using data pipelines and stored procedures.
You discover that the daily data load takes longer than expected.
You need to monitor Warehouse1 to identify the names of users that are actively running queries.
Which view should you use?

A. sys.dm_exec_requests
B. sys.dm_exec_connections
C. queryinsights.frequently_run_queries
D. queryinsights.long_running_queries
E. sys.dm_exec_sessions

答案：E

解題說明：
sys.dm_exec_sessions provides real-time information about all active sessions, including the user, session ID, and status of the session. You can filter on session status to see users actively running queries.

問題 #37
HOTSPOT
You have a Fabric workspace that contains a warehouse named Warehouse1. Warehouse1 contains the following tables and columns.

You need to denormalize the tables and include the ContractType and StartDate columns in the Employee table. The solution must meet the following requirements:
Ensure that the StartDate column is of the date data type.
Ensure that all the rows from the Employee table are preserved and include any matching rows from the Contract table.
Ensure that the result set displays the total number of employees per contract type for all the contract types that have more than two employees.
How should you complete the statement? 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 #38
You have a Fabric workspace named Workspace1 that contains a lakehouse named Lakehouse1. Lakehouse1 contains the following tables:
Orders
Customer
Employee
The Employee table contains Personally Identifiable Information (PII).
A data engineer is building a workflow that requires writing data to the Customer table, however, the user does NOT have the elevated permissions required to view the contents of the Employee table.
You need to ensure that the data engineer can write data to the Customer table without reading data from the Employee table.
Which three actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. Assign the data engineer the Contributor role for Workspace2.
B. Assign the data engineer the Viewer role for Workspace2.
C. Create a new workspace named Workspace2 that contains a new lakehouse named Lakehouse2.
D. Assign the data engineer the Viewer role for Workspace1.
E. Share Lakehouse1 with the data engineer.
F. Assign the data engineer the Contributor role for Workspace1.
G. Migrate the Employee table from Lakehouse1 to Lakehouse2.

答案：E,F,G

解題說明：
To meet the requirements of ensuring that the data engineer can write data to the Customer table without reading data from the Employee table (which contains Personally Identifiable Information, or PII), you can implement the following steps:
* Share Lakehouse1 with the data engineer.
By sharing Lakehouse1 with the data engineer, you provide the necessary access to the data within the lakehouse. However, this access should be controlled through roles and permissions, which will allow writing to the Customer table but prevent reading from the Employee table.
* Assign the data engineer the Contributor role for Workspace1.
Assigning the Contributor role for Workspace1 grants the data engineer the ability to perform actions such as writing to tables (e.g., the Customer table) within the workspace. This role typically allows users to modify and manage data without necessarily granting them access to view all data (e.g., PII data in the Employee table).
* Migrate the Employee table from Lakehouse1 to Lakehouse2.
To prevent the data engineer from accessing the Employee table (which contains PII), you can migrate the Employee table to a separate lakehouse (Lakehouse2) or workspace (Workspace2). This separation of sensitive data ensures that the data engineer's access is restricted to the Customer table in Lakehouse1, while the Employee table can be managed separately and protected under different access controls.

問題 #39
You have a Fabric warehouse named Warehouse1 that contains a table named Table1. Table 1 has a column named EmailAddress. All users have access to Warehouse1.
You need to configure dynamic data masking for the EmailAddress column. The solution must meet the following requirements:
* The solution must NOT change the data in Warehouse1.
* The solution must NOT require changes to the queries that access Table1.
* The solution must NOT require changes to the security or permissions granted to Warehouse1.
What should you use?

A. a Data Control Language (DCL) statement
B. a Data Manipulation Language (DML) statement
C. a dynamic management view (DMV)
D. a Data Definition Language (DDL) statement

答案：D

問題 #40
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