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Microsoft DP-600 Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Implementing Analytics Solutions Using Microsoft Fabric |
| Exam Number: | DP-600 |
| Exam Duration: | 120 minutes |
| Certificate Validity Period: | 1 year |
| Related Certifications: | Microsoft Certified: Fabric Analytics Engineer Associate |
| Real Exam Qty: | 40-60 |
| Exam Format: | Case studies, Drag-and-drop, Multiple-choice |
| Passing Score: | 700/1000 |
| Exam Price: | $165 USD |
| Available Languages: | Japanese, Korean, English, Chinese (Simplified) |
| Sample Questions: | Microsoft DP-600 Sample Questions |
| Exam Way: | Online proctored or in-person testing center |
| Pre Condition: | Candidates should have foundational knowledge of data concepts, experience with Microsoft Fabric, and proficiency in data transformation and modeling. Familiarity with Power BI is recommended but not required. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/certifications/exams/dp-600 |
Microsoft DP-600 Exam Syllabus Topics:
| Topic | Details |
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| Topic 1 |
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| Topic 2 |
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Reference: https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/dp-600
Microsoft Implementing Analytics Solutions Using Microsoft Fabric Sample Questions:
You have a Microsoft Fabric tenant that contains a dataflow.
You are exploring a new semantic model.
From Power Query, you need to view column information as shown in the following exhibit.
Which three Data view options should you select? Each correct answer presents part of the solution. NOTE:
Each correct answer is worth one point.
- A. Show column quality details
- B. Show column value distribution
- C. Show column profile in details pane
- D. Enable column profile
- E. Enable details pane
Correct Answer: A,D,E 🗳️
Explanation: Only visible for BraindumpQuiz members. You can sign-up / login (it's free).
You have a Fabric tenant that contains customer churn data stored as Parquet files in OneLake. The data contains details about customer demographics and product usage.
You create a Fabric notebook to read the data into a Spark DataFrame. You then create column charts in the notebook that show the distribution of retained customers as compared to lost customers based on geography, the number of products purchased, age. and customer tenure.
Which type of analytics are you performing?
- A. diagnostic
- B. prescriptive
- C. predictive
- D. descriptive
Correct Answer: D 🗳️
Explanation: Only visible for BraindumpQuiz members. You can sign-up / login (it's free).
You have a KQL database that contains a table named Readings.
You need to query Readings and return the results shown in the following table.
How should you complete the query? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
Comprehensive Detailed Explanation
We need to query a KQL database table named Readings to generate output that includes both the current reading and the previous reading values and datetime for each row.
Step 1: Understanding Requirements
The output table shows:
City, Area, MeterReading, Datetime
PrevMeterReading, PrevDatetime
The prev() function in KQL is used to access the value of a column from the previous row (based on order).
Step 2: Query Construction
We start with filtering:
Readings
| where City == " Copenhagen "
| sort by Datetime
To add columns that calculate the previous reading and previous datetime, we use extend:
| extend PrevMeterReading = prev(MeterReading), PrevDatetime = prev(Datetime) extend creates new columns.
prev() pulls the previous row's values.
Finally, we only want specific columns in the output. For this, we use project:
| project City, Area, MeterReading, Datetime, PrevMeterReading, PrevDatetime Step 3: Completed Query Readings
| where City == " Copenhagen "
| sort by Datetime
| extend PrevMeterReading = prev(MeterReading), PrevDatetime = prev(Datetime)
| project City, Area, MeterReading, Datetime, PrevMeterReading, PrevDatetime Why This is Correct extend adds calculated columns.
prev() gives access to the previous row.
project selects only the required columns.
This matches exactly the table shown in the question.
References
Kusto Query Language - extend operator
Kusto Query Language - project operator
prev() function in KQL
What should you use to implement calculation groups for the Research division semantic models?
- A. Microsoft Power Bl Desktop
- B. DAX Studio
- C. Tabular Editor
- D. the Power Bl service
Correct Answer: C 🗳️
Explanation: Only visible for BraindumpQuiz members. You can sign-up / login (it's free).
You have a data warehouse that contains the following tables:
You have a T-SQL query named Query1 that contains the following statements.
For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
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