2025 Microsoft DP-700 Realistic Vce Format Pass Guaranteed
2025 Microsoft DP-700 Realistic Vce Format Pass Guaranteed
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Microsoft DP-700 Exam Syllabus Topics:
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Microsoft Implementing Data Engineering Solutions Using Microsoft Fabric Sample Questions (Q49-Q54):
NEW QUESTION # 49
You need to ensure that WorkspaceA can be configured for source control. Which two actions should you perform?
Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
- A. From Tenant setting, set Users can sync workspace items with GitHub repositories to Enabled
- B. Configure WorkspaceA to use a Premium Per User (PPU) license
- C. Assign WorkspaceA to Capl.
- D. From Tenant setting, set Users can synchronize workspace items with their Git repositories to Enabled
Answer: C,D
NEW QUESTION # 50
You are building a data loading pattern by using a Fabric data pipeline. The source is an Azure SQL database that contains 25 tables. The destination is a lakehouse.
In a warehouse, you create a control table named Control.Object as shown in the exhibit. (Click the Exhibit tab.) You need to build a data pipeline that will support the dynamic ingestion of the tables listed in the control table by using a single execution.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
NEW QUESTION # 51
HOTSPOT
You have a Fabric workspace that contains a warehouse named DW1. DW1 contains the following tables and columns.
You need to create an output that presents the summarized values of all the order quantities by year and product. The results must include a summary of the order quantities at the year level for all the products.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 52
You have a Fabric workspace named Workspace1 that contains a warehouse named Warehouse1.
You plan to deploy Warehouse1 to a new workspace named Workspace2.
As part of the deployment process, you need to verify whether Warehouse1 contains invalid references. The solution must minimize development effort.
What should you use?
- A. a deployment pipeline
- B. a T-SQL script
- C. a Python script
- D. a database project
Answer: C
Explanation:
A deployment pipeline in Fabric allows you to deploy assets like warehouses, datasets, and reports between different workspaces (such as from Workspace1 to Workspace2). One of the key features of a deployment pipeline is the ability to check for invalid references before deployment. This can help identify issues with assets, such as broken links or dependencies, ensuring the deployment is successful without introducing errors. This is the most efficient way to verify references and manage the deployment with minimal development effort.
NEW QUESTION # 53
You have a Fabric F32 capacity that contains a workspace. The workspace contains a warehouse named DW1 that is modelled by using MD5 hash surrogate keys.
DW1 contains a single fact table that has grown from 200 million rows to 500 million rows during the past year.
You have Microsoft Power BI reports that are based on Direct Lake. The reports show year-over-year values.
Users report that the performance of some of the reports has degraded over time and some visuals show errors.
You need to resolve the performance issues. The solution must meet the following requirements:
Provide the best query performance.
Minimize operational costs.
Which should you do?
- A. Increase the capacity.C Enable V-Order
- B. Change the MD5 hash to SHA256.
- C. Create views.
- D. Modify the surrogate keys to use a different data type.
Answer: D
Explanation:
In this case, the key issue causing performance degradation likely stems from the use of MD5 hash surrogate keys. MD5 hashes are 128-bit values, which can be inefficient for large datasets like the 500 million rows in your fact table. Using a more efficient data type for surrogate keys (such as integer or bigint) would reduce the storage and processing overhead, leading to better query performance. This approach will improve performance while minimizing operational costs because it reduces the complexity of querying and indexing, as smaller data types are generally faster and more efficient to process.
NEW QUESTION # 54
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