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Microsoft DP-700 Exam Topics

Microsoft DP-700 Exam Overview :

Exam Name: Implementing Data Engineering Solutions Using Microsoft Fabric
Exam Code: DP-700
Certifications: Microsoft Fabric Data Engineer Associate Certification
Exam Registration Price: $165 USD
See Expected Questions: Microsoft DP-700 Expected Questions in Actual Exam

Microsoft DP-700 Exam Objectives :

Section Weight Objectives
Implement and manage an analytics solution 30 to 35%

Configure Microsoft Fabric workspace settings

  • Configure Spark workspace settings

  • Configure domain workspace settings

  • Configure OneLake workspace settings

  • Configure data workflow workspace settings

Implement lifecycle management in Fabric

  • Configure version control

  • Implement database projects

  • Create and configure deployment pipelines

Configure security and governance

  • Implement workspace-level access controls

  • Implement item-level access controls

  • Implement row-level, column-level, object-level, and file-level access controls

  • Implement dynamic data masking

  • Apply sensitivity labels to items

  • Endorse items

Orchestrate processes

  • Choose between a pipeline and a notebook

  • Design and implement schedules and event-based triggers

  • Implement orchestration patterns with notebooks and pipelines, including parameters and dynamic expressions
Ingest and transform data 30 to 35%

Design and implement Loading Patterns

  • Design and implement full and incremental data loads

  • Prepare data for loading into a dimensional model

  • Design and implement a loading pattern for streaming data

Ingest and Transform Batch Data

  • Choose an appropriate data store

  • Choose between dataflows, notebooks, and T-SQL for data transformation

  • Create and manage shortcuts to data

  • Implement mirroring

  • Ingest data by using pipelines

  • Transform data by using PySpark, SQL, and KQL

  • Denormalize data

  • Group and aggregate data

  • Handle duplicate, missing, and late-arriving data

Ingest and Transform Streaming Data

  • Choose an appropriate streaming engine

  • Process data by using eventstreams

  • Process data by using Spark structured streaming

  • Process data by using KQL

  • Create windowing functions
Monitor and optimize an analytics solution 30 to 35%

Monitor Fabric items

  • Monitor data ingestion

  • Monitor data transformation

  • Monitor semantic model refresh

  • Configure alerts

Identify and resolve errors

  • Identify and resolve pipeline errors

  • Identify and resolve dataflow errors

  • Identify and resolve notebook errors

  • Identify and resolve eventhouse errors

  • Identify and resolve eventstream errors

  • Identify and resolve T-SQL errors

Optimize performance

  • Optimize a lakehouse table

  • Optimize a pipeline

  • Optimize a data warehouse

  • Optimize eventstreams and eventhouses

  • Optimize Spark performance

  • Optimize query performance
Official Information https://learn.microsoft.com/en-us/credentials/certifications/exams/dp-700/

Updates in the Microsoft DP-700 Exam Topics:

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