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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Implementing Data Engineering Solutions Using Microsoft Fabric |
| Exam Number: | DP-700 |
| Real Exam Qty: | 50 - 60 |
| Certificate Validity Period: | 12 Months (Renewable annually) |
| Exam Duration: | 100 minutes |
| Related Certifications: | Microsoft Certified: Fabric Data Engineer Associate |
| Available Languages: | English, Japanese, Portuguese (Brazil), Simplified Chinese, French, German, Spanish |
| Exam Format: | Scenario-based, Drag-and-drop, Multiple choice, Case studies |
| Passing Score: | 700 / 1000 |
| Exam Price: | $165 USD |
| Sample Questions: | Microsoft DP-700 Sample Questions |
| Exam Way: | Online proctored or Test center |
| Pre Condition: | No specific prior certification required. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/exams/dp-700/ |
The Implementing Data Engineering Solutions Using Microsoft Fabric (DP-700) exam questions are the real, valid, and updated DP-700 Exam Questions that are specifically designed for quick and complete DP-700 exam preparation. With PrepAwayTest Implementing Data Engineering Solutions Using Microsoft Fabric (DP-700) practice test questions you can start Microsoft DP-700 exam preparation immediately.
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NEW QUESTION # 133
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 Fabric eventstream that loads data into a table named Bike_Location in a KQL database. The table contains the following columns:
BikepointID
Street
Neighbourhood
No_Bikes
No_Empty_Docks
Timestamp
You need to apply transformation and filter logic to prepare the data for consumption. The solution must return data for a neighbourhood named Sands End when No_Bikes is at least 15. The results must be ordered by No_Bikes in ascending order.
Solution: You use the following code segment:
Does this meet the goal?
Answer: A
Explanation:
This code does not meet the goal because this is an SQL-like query and cannot be executed in KQL, which is required for the database.
Correct code should look like:
NEW QUESTION # 134
You have a table in a Fabric lakehouse that contains the following data.
You have a notebook that contains the following code segment.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
NEW QUESTION # 135
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.
Answer:
Explanation:
Explanation:
NEW QUESTION # 136
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 KQL database that contains two tables named Stream and Reference. Stream contains streaming data in the following format.
Reference contains reference data in the following format.
Both tables contain millions of rows.
You have the following KQL queryset.
You need to reduce how long it takes to run the KQL queryset.
Solution: You add the make_list() function to the output columns.
Does this meet the goal?
Answer: A
Explanation:
Adding an aggregation like make_list() would require additional processing and memory, which could make the query slower.
NEW QUESTION # 137
You need to ensure that the data engineer s are notified if any step in populating the lakehouses fails. The solution must meet the technical requirements and minimize development effort.
What should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
NEW QUESTION # 138
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