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Microsoft Certified: Fabric Data Engineer Associate (DP-700) Syllabus

Implement and manage an analytics solution

Configuring Fabric workspaces, lifecycle management, security and governance, and orchestration.

34%

Weight

Questions

Marks

Workspace Settings and Lifecycle Management

Spark, domain, OneLake and data workflow workspace settings
Version control with Git integration
Database projects
Deployment pipelines

Security and Governance

Workspace-level and item-level access controls
Row-, column-, object- and file-level security
Dynamic data masking
Sensitivity labels
Endorsing items

Orchestrate Processes

Choosing between a pipeline and a notebook
Schedules and event-based triggers
Parameters and dynamic expressions
Notebook and pipeline orchestration patterns

Ingest and transform data

Designing loading patterns and ingesting and transforming batch and streaming data in Fabric.

33%

Weight

Questions

Marks

Loading Patterns

Full and incremental loads
Preparing data for a dimensional model
Streaming load patterns
Choosing an appropriate data store

Batch Data

Dataflows vs. notebooks vs. T-SQL
OneLake shortcuts and mirroring
Pipeline ingestion
Transforming with PySpark, SQL and KQL
Denormalizing, grouping and aggregating
Duplicate, missing and late-arriving data

Streaming Data

Choosing a streaming engine
Eventstreams
Spark structured streaming
KQL processing in eventhouses
Windowing functions

Monitor and optimize an analytics solution

Monitoring Fabric items, resolving errors and tuning performance across Fabric workloads.

33%

Weight

Questions

Marks

Monitor Fabric Items

Monitoring data ingestion and transformation
Semantic model refresh monitoring
Configuring alerts
Using the Fabric Monitoring hub

Identify and Resolve Errors

Pipeline and dataflow errors
Notebook errors
Eventhouse and eventstream errors
T-SQL errors

Optimize Performance

Lakehouse table optimization
Pipeline and data warehouse optimization
Eventstream and eventhouse optimization
Spark performance tuning
Query performance

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Learning Progress

Implement and manage an analytics solution 85%

Ingest and transform data 92%

Practice Test Scores

95%

Latest Score

Above passing threshold

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