Exam DP203 Introduction: Difference between revisions

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# Microsoft Purview
# Microsoft Purview


running the following languages:
running the following [[Exam_DP203_languages|Languages]]::


# SQL
# SQL
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# Scala
# Scala


on the following back-end services:
on the following [[Exam_DP203_back-end_services|back-end services]]:


# SQL
# SQL
# Spark
# Spark
authenticating with each other using the following methodologies:
authenticating with each other using the following [[Exam_DP203_authentication|authentication]] methodologies:


# Managed Identities
# Managed Identities

Revision as of 23:12, 14 November 2024

This is the introduction page to my study notes on exam DP 203 Microsoft Certified Azure Data Engineer.

https://learn.microsoft.com/en-us/credentials/certifications/azure-data-engineer/?practice-assessment-type=certification

which links through to the free online course for this, which I have studied:

https://learn.microsoft.com/en-us/credentials/certifications/azure-data-engineer/?practice-assessment-type=certification#certification-prepare-for-the-exam

Having read through it, I can see that the overarching principle involved is that Azure services in scope for this course are built on top of four fundamental types of data Storage within Azure:

  1. Azure Blob Storage
  2. Azure Data Lake Storage Gen2
  3. Azure Lake Database
  4. Azure SQL Database

involving the following front-end services:

  1. Azure Synapse Analytics Studio
  2. Databricks
  3. Microsoft Purview

running the following Languages::

  1. SQL
  2. Python
  3. Scala

on the following back-end services:

  1. SQL
  2. Spark

authenticating with each other using the following authentication methodologies:

  1. Managed Identities
  2. username and password

I will create Wiki pages here for each of the above, and document the content of the course in the context of links to the above items also.