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DP600 – MICROSOFT FABRICS EXAM LATEST 2026 ACTUAL EXAM
WITH COMPLETE QUESTIONS AND CORRECT DETAILED ANSWERS
(100% VERIFIED ANSWERS) |ALREADY GRADED A+| ||PROFESSOR
VERIFIED|| ||BRANDNEW!!!||
You are developing a large Microsoft Power BI semantic model
that will contain a fact table. The table will contain 400 million
rows.
You plan to leverage user-defined aggregations to speed up the
performance of the most frequently run queries.
You need to confirm that the queries are mapped to aggregated
data in the tables.
Which two tools should you use? Each correct answer presents
part of the solution. - ANSWER-DAX Studio & SQL Server Profiler
You have a Microsoft Power BI semantic model assigned to you
for ownership and maintenance.
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You need to perform an audit on the model to identify and resolve
potential performance or design issues.
Which Tabular Editor tool should you use? - ANSWER-Best
Practices Analyzer
You have a Fabric tenant that contains a workspace named
Workspace1. Workspace1 contains a warehouse that has a table
named Orders.
You have a Microsoft Power BI semantic model in Power BI
Desktop that sources data from the Orders table.
You need to enable incremental refresh for the table.
Which two parameters should you create? - ANSWER-
RangeStart and RangeEnd
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You have an Azure SQL database that contains a customer
dimension table. The table contains two columns named
CustomerID and CustomerCompositeKey.
You have a Fabric workspace that contains a Dataflow Gen2
query that connects to the database.
You need to use Dataflows Query Editor to identify which of the
two columns contains non-duplicate values per customer.
Which option should you use? - ANSWER-Column distribution -
distinct values
You have a Fabric tenant that contains a lakehouse.
You are creating a notebook to explore the data in the lakehouse.
You need create a query to find the total number of records in the
fact table for every individual product. The displayed results must
be sorted in descending order.
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How should you structure the query? - ANSWER-
df.groupBy("ProductKey").count().sort("count",
descending=True).show()
You have a Fabric lakehouse that contains a managed Delta table
named Product.
You plan to analyze the data by using a Fabric notebook and
PySpark.
You load the data to a DataFrame by running the following code.
df = spark.sql("SELECT * FROM Product")
You need to display the top 100 rows from the DataFrame.
Which PySpark command should you run? - ANSWER-
display(df.limit(100))
DP600 – MICROSOFT FABRICS EXAM LATEST 2026 ACTUAL EXAM
WITH COMPLETE QUESTIONS AND CORRECT DETAILED ANSWERS
(100% VERIFIED ANSWERS) |ALREADY GRADED A+| ||PROFESSOR
VERIFIED|| ||BRANDNEW!!!||
You are developing a large Microsoft Power BI semantic model
that will contain a fact table. The table will contain 400 million
rows.
You plan to leverage user-defined aggregations to speed up the
performance of the most frequently run queries.
You need to confirm that the queries are mapped to aggregated
data in the tables.
Which two tools should you use? Each correct answer presents
part of the solution. - ANSWER-DAX Studio & SQL Server Profiler
You have a Microsoft Power BI semantic model assigned to you
for ownership and maintenance.
,2|Page
You need to perform an audit on the model to identify and resolve
potential performance or design issues.
Which Tabular Editor tool should you use? - ANSWER-Best
Practices Analyzer
You have a Fabric tenant that contains a workspace named
Workspace1. Workspace1 contains a warehouse that has a table
named Orders.
You have a Microsoft Power BI semantic model in Power BI
Desktop that sources data from the Orders table.
You need to enable incremental refresh for the table.
Which two parameters should you create? - ANSWER-
RangeStart and RangeEnd
,3|Page
You have an Azure SQL database that contains a customer
dimension table. The table contains two columns named
CustomerID and CustomerCompositeKey.
You have a Fabric workspace that contains a Dataflow Gen2
query that connects to the database.
You need to use Dataflows Query Editor to identify which of the
two columns contains non-duplicate values per customer.
Which option should you use? - ANSWER-Column distribution -
distinct values
You have a Fabric tenant that contains a lakehouse.
You are creating a notebook to explore the data in the lakehouse.
You need create a query to find the total number of records in the
fact table for every individual product. The displayed results must
be sorted in descending order.
, 4|Page
How should you structure the query? - ANSWER-
df.groupBy("ProductKey").count().sort("count",
descending=True).show()
You have a Fabric lakehouse that contains a managed Delta table
named Product.
You plan to analyze the data by using a Fabric notebook and
PySpark.
You load the data to a DataFrame by running the following code.
df = spark.sql("SELECT * FROM Product")
You need to display the top 100 rows from the DataFrame.
Which PySpark command should you run? - ANSWER-
display(df.limit(100))
