Microsoft Certified: Fabric Data Engineer Associate
Voucher by Aleksi · Fabric Forge
DP-700
Fabric Data Engineer
Voucher by Aleksi · Fabric Forge
Stage 1 Evolves from Everyone Is Admin
CU30–35%
Domain 1 · Implement and manage an analytics solution
Row-, column-, object- and file-level security: everyone sees only what they should. Dynamic data masking hides the rest.
Dev → test → prod with deployment pipelines, version control and database projects.
Nothing ships without a pipeline. Nothing opens without a role.
Stage 1 Evolves from Cron Job
CU30–35%
Domain 2 · Ingest and transform data
Brings in only what changed. Full loads when it must, streaming loads when it can’t wait.
Handles duplicate, missing and late-arriving data, then shapes it for a dimensional model.
Full or incremental, batch or stream: the data arrives.
Stage 1 Evolves from Excel Macro
Used acrossall 3 domains
Languages · PySpark, SQL and KQL
Picks dataflows, notebooks or T-SQL, whichever the job needs.
Transforms data with PySpark, SQL and KQL, batch or streaming.
Speaks PySpark, T-SQL and KQL, and knows which one the job needs.
Stage 1 Evolves from print()
CU30–35%
Domain 3 · Monitor and optimize an analytics solution
Monitors ingestion, transformation and semantic model refresh, and raises the alarm.
Resolves pipeline, notebook and T-SQL errors, then optimizes lakehouse tables, Spark and queries.
Spots the failed refresh before anyone else does.