DP-600 Prerequisites and Skills Check

The short version

On the Microsoft pages we checked, DP-600 has no required prerequisite exam or certification. What Microsoft does describe is a candidate with real skills in building analytical assets such as semantic models, warehouses, and lakehouses, who can query data with SQL, KQL, and DAX. So the real prerequisite is experience, not a paper.

What Microsoft says

Microsoft’s audience profile says a candidate should have subject matter expertise in designing, creating, and managing analytical assets, and should work with stakeholders, architects, analysts, engineers, and administrators. The responsibilities are preparing and enriching data, securing and maintaining analytics assets, and implementing and managing semantic models. Microsoft also says you should be able to query and analyze data by using SQL, KQL, and DAX.

Required versus recommended

Item	Status
Another exam or certification	Not listed as required on Microsoft’s pages
Microsoft account	Needed to schedule; Microsoft recommends a personal account
SQL, KQL, DAX	Expected skills per the audience profile
Power BI and semantic model experience	Strongly implied by the skills list
Fabric workspace access	Not required, but practice without one is hard

Microsoft does not name a preceding certification for this exam on the pages we read, so we do not suggest one as official guidance. Many people find a base in Power BI helpful, but that is general experience, not a rule.

Skills self-check

Rate yourself honestly. If you can do most of these, you are ready to start the study plan.

Data basics

I can explain a star schema, with facts, dimensions, and keys.
I can write SQL with joins, GROUP BY, and filters.
I can read a simple KQL query with where, summarize, and project.

Power BI and models

I can build a model with relationships and explain filter direction.
I can write a DAX measure with CALCULATE and a variable.
I know the difference between Import and DirectQuery.

Fabric

I can describe what a lakehouse, a warehouse, and an eventhouse are for.
I know what a workspace and a capacity are.
I have loaded data with a pipeline, a Dataflow Gen2, or a notebook.

Governance and delivery

I understand workspace roles and why item permissions exist.
I know what row-level security does.
I have seen Git or a deployment pipeline in action.

If you ticked fewer than half, plan extra weeks at the start of the study plan, and build the missing basics first.

What to learn first if you are new

Power BI basics: import data, build a model, write simple measures.
SQL: SELECT, JOIN, GROUP BY, and creating views.
Fabric concepts: OneLake, workspaces, and the main item types. Microsoft’s free learning paths on Microsoft Learn are a good start.
DAX and KQL: do a small exercise in each, even if short.
Governance: read about roles, sensitivity labels, and deployment pipelines.

Use the DP-600 exam page for Microsoft’s learning links.

Accessibility and language

The exam is offered in seven languages, listed on the exam format page. If your language is not available, Microsoft says you can request 30 more minutes. Microsoft also describes accommodations for people who use assistive devices or need changes to the exam experience, and you request those before you book.

More guides for DP-600

Next step

When the self-check looks good, move on to the study plan. If you want to test your starting point, try the sample questions, or see the DP-600 practice exams for fuller sets.

Frequently asked questions

Do I need Power BI experience first?

Microsoft does not list it as a rule, but a large part of the skills list is about semantic models, which is Power BI territory.

Is a degree needed?

Microsoft’s pages do not mention one.

Do I need to code?

You should read and write basic SQL, KQL, and DAX. Python or Spark is not named as a skill in the study guide bullets we read.

Try the DP-600 practice exams