DP-700下載,DP-700考題寶典
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從Google Drive中免費下載最新的VCESoft DP-700 PDF版考試題庫:https://drive.google.com/open?id=1jHGqQ7B1HL6Nrwn7kEYCFbSC8sfC6DCm
Microsoft 的 DP-700 考古題覆蓋了最新的考試指南,根據真實的 DP-700 考試真題編訂,確保每位考生順利通過 DP-700 考試。如果在考試過程中變題了,考生可以享受免費更新一年的考題服務,保障了考生的權利。DP-700 考試適合於 Microsoft 技術人士開發,目的是為了測驗考生基於各種平臺的設計和開發應用知識技能。考生要考取 DP-700 認證,必須要擁有兩年開發技術領域的能力。
Microsoft DP-700 考試大綱:
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DP-700下載:Implementing Data Engineering Solutions Using Microsoft Fabric|Microsoft DP-700最佳途徑
我的很多IT行業的朋友為了通過Microsoft DP-700 認證考試花費了很多時間和精力,但是他們沒有選擇培訓班或者網上培訓,所以對他們而言通過考試是比較有難度的,一般他們的一次性通過的幾率很小。幸運地是VCESoft提供了最可靠的培訓工具。VCESoft提供的培訓材料包括Microsoft DP-700 認證考試的類比測試軟體和相關類比試題,練習題和答案。我們可以提供最佳最新的Microsoft DP-700 認證考試的練習題和答案來滿足你的需求。
最新的 Microsoft Certified: Fabric Data Engineer Associate DP-700 免費考試真題 (Q59-Q64):
問題 #59
You have a Fabric workspace that contains a warehouse named Warehouse1.
In Warehouse1, you create a table named DimCustomer by running the following statement.
You need to set the Customerkey column as a primary key of the DimCustomer table.
Which three code segments should you run in sequence? To answer, move the appropriate code segments from the list of code segments to the answer area and arrange them in the correct order.
答案:
解題說明:
問題 #60
DRAG DROP
You have a Fabric eventhouse that contains a KQL database. The database contains a table named TaxiData.
The following is a sample of the data in TaxiData.
You need to build two KQL queries. The solution must meet the following requirements:
One of the queries must partition RunningTotalAmount by VendorID.
The other query must create a column named FirstPickupDateTime that shows the first value of each hour from tpep_pickup_datetime partitioned by payment_type.
How should you complete each query? To answer, drag the appropriate values the correct targets. Each value 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:
Partition the RunningTotalAmount by VendorID. - Row_cumsum
The Row_cumsum function computes the cumulative sum of a column while optionally restarting the accumulation based on a condition. In this case, it calculates the cumulative sum of total_amount for each VendorID, restarting when the VendorID changes (VendorID != prev(VendorID)).
Create a column FirstPickupDateTime that shows the first value of each hour from tpep_pickup_datetime, partitioned by payment_type - Row_window_session
問題 #61
You need to ensure that usage of the data in the Amazon S3 bucket meets the technical requirements.
What should you do?
- A. Create a workspace identity and enable high concurrency for the notebooks.
- B. Create a workspace identity and use the identity in a data pipeline.
- C. Create a shortcut and ensure that caching is enabled for the workspace.
- D. Create a shortcut and ensure that caching is disabled for the workspace.
答案:D
解題說明:
To ensure that the usage of the data in the Amazon S3 bucket meets the technical requirements, we must address two key points:
問題 #62
You are building a data orchestration pattern by using a Fabric data pipeline named Dynamic Data Copy as shown in the exhibit. (Click the Exhibit tab.)
Dynamic Data Copy does NOT use parametrization.
You need to configure the ForEach activity to receive the list of tables to be copied.
How should you complete the pipeline expression? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
答案:
解題說明:
Explanation:
問題 #63
You have a Fabric workspace that contains an eventstream named Eventstream1. Eventstream1 processes data from a thermal sensor by using event stream processing, and then stores the data in a lakehouse.
You need to modify Eventstream1 to include the standard deviation of the temperature.
Which transform operator should you include in the Eventstream1 logic?
- A. Group by
- B. Union
- C. Expand
- D. Aggregate
答案:A
解題說明:
To compute the standard deviation of the temperature from the thermal sensor data, you would use the Aggregate transform operator in Eventstream1. The Aggregate operator allows you to apply functions like sum, average, count, and statistical functions like standard deviation across a group of rows or events. This operator is ideal for operations that require summarizing or computing statistics over a dataset, such as calculating the standard deviation.
問題 #64
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從Google Drive中免費下載最新的VCESoft DP-700 PDF版考試題庫:https://drive.google.com/open?id=1jHGqQ7B1HL6Nrwn7kEYCFbSC8sfC6DCm
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