Microsoft DP-600 Exam Questions - Navigate Your Path to Success

The Microsoft Implementing Analytics Solutions Using Microsoft Fabric (DP-600) exam is a good choice for Microsoft Fabric Data Engineer Microsoft Fabric Data Analyst and if the candidate manages to pass Microsoft Implementing Analytics Solutions Using Microsoft Fabric exam, he/she will earn Microsoft Fabric Analytics Engineer Associate Certification. Below are some essential facts for Microsoft DP-600 exam candidates:

TrendyCerts offers 117 Questions that are based on actual Microsoft DP-600 syllabus.
Our Microsoft DP-600 Exam Practice Questions were last updated on: Mar 04, 2025

Sample Questions for Microsoft DP-600 Exam Preparation

Question 1

You have a Fabric tenant that contains a new semantic model in OneLake.

You use a Fabric notebook to read the data into a Spark DataFrame.

You need to evaluate the data to calculate the min, max, mean, and standard deviation values for all the string and numeric columns.

Solution: You use the following PySpark expression:

df .sumary ()

Does this meet the goal?

AYes

BNo

Correct : A

Yes, the df.summary() method does meet the goal. This method is used to compute specified statistics for numeric and string columns. By default, it provides statistics such as count, mean, stddev, min, and max. Reference = The PySpark API documentation details the summary() function and the statistics it provides.

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Question 2

You have a Fabric tenant that contains a takehouse named lakehouse1. Lakehouse1 contains a Delta table named Customer.

When you query Customer, you discover that the query is slow to execute. You suspect that maintenance was NOT performed on the table.

You need to identify whether maintenance tasks were performed on Customer.

Solution: You run the following Spark SQL statement:

DESCRIBE HISTORY customer

Does this meet the goal?

AYes

BNo

Correct : A

Yes, the DESCRIBE HISTORY statement does meet the goal. It provides information on the history of operations, including maintenance tasks, performed on a Delta table. Reference = The functionality of the DESCRIBE HISTORY statement can be verified in the Delta Lake documentation.