Implementing Analytics Solutions Using Microsoft Fabric Practice Questions
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DP-600 FAQs
With the DP-600 certification, you can pursue roles such as Fabric Analytics Engineer, Data Engineer, Data Analyst, and Solution Architect. These roles involve designing, implementing, and managing data analytics solutions using Microsoft Fabric.
The salary for DP-600 certified professionals varies based on experience and location. On average, salaries range from $90,000 to $130,000 per year, with higher figures possible for those with extensive experience and additional certifications.
Key benefits include validation of your expertise in Microsoft Fabric analytics, enhanced job prospects, potential for higher salaries, and recognition from employers and peers. The certification demonstrates your ability to implement and manage advanced data analytics solutions?.
The DP-600 exam tests skills in designing and implementing analytics solutions using Microsoft Fabric, including data lakes, pipelines, and Power BI integration. It’s designed for data engineers and analysts working with unified analytics platforms.
Practice building data pipelines in Microsoft Fabric using a trial tenant, focusing on data ingestion and transformation. Study Microsoft Learn’s DP-600 learning path and use practice exam to simulate pipeline scenarios.
While PL-300 focuses on Power BI for data visualization, DP-600 emphasizes end-to-end analytics workflows in Microsoft Fabric, including data engineering tasks like lakehouse management and real-time analytics, requiring broader technical expertise.
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Implementing Analytics Solutions Using Microsoft Fabric Questions and Answers
You have a Fabric tenant that contains a workspace named Workspace1. Workspace1 contains a warehouse named DW1. DW1 contains two tables named Employees and Sales. All users have read access to
DW1.
You need to implement access controls to meet the following requirements:
For the Sales table, ensure that the users can see only the sales data from their respective region.
For the Employees table, restrict access to all Personally Identifiable Information (PII).
Maintain access to unrestricted data for all the users.
What should you use for each table? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

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 tenant that contains a semantic model named Model1.
You discover that the following query performs slowly against Model1.

You need to reduce the execution time of the query.
Solution: You replace line 4 by using the following code:

Does this meet the goal?
You have a Fabric tenant that contains a semantic model named Model1. Model1 uses Import mode. Model1 contains a table named Orders. Orders has 100 million rows and the following fields.

You need to reduce the memory used by Model! and the time it takes to refresh the model. Which two actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct answer is worth one point.
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