Datadog is a SaaS-based observability platform that provides monitoring and analytics for applications and infrastructure.

===== Datadog Fundamentals Certification =====

  * [[https://www.datadoghq.com/pdf/datadog-fundamentals-exam-guide-jan25.pdf|Exam Guide PDF]] (from the [[https://www.datadoghq.com/certification/overview/|Datadog Certifications Page]])
  * [[DD Fundamentals Certification Exam Guide]]
  * [[DD Fundamentals Certification Study Guide]]
  * [[https://learn.datadoghq.com/courses/datadog-fundamentals-practice-exam|25 Question Practice Exam Sign Up Page]]

==== What to Study ====

Also see [[DD Fundamentals Certification Study Guide]].

Courses (the [[https://learn.datadoghq.com/pages/learning-center-updates-april-2025|sre and dev courses have been replaced]], even though they're still mentioned in the exam guide):

  * https://learn.datadoghq.com/courses/introduction-to-observability  
  * https://learn.datadoghq.com/courses/dd-101-dev  
  * https://learn.datadoghq.com/courses/dd-101-sre

Documentation to Review:

  * Getting Started
  * Datadog Agent
  * Metrics
  * Infrastructure List
  * API and Application Keys
  * Integrations
  * Docker Daemon
  * Query to the graph
  * Docker Agent
  * Metrics API
  * Monitor types
  * DogStatsD
  * ddtrace
  * Canonical Hostnames

==== Register for Exam ====

https://www.webassessor.com/datadog

===== Topics Related to Using Datadog =====

Tech-learning platforms such as www.coursera.org and www.udacity.com are good for learning about topics related to Datadog.

These topics in particular are useful for understanding different scenarios in which Datadog is used:

  * https://www.coursera.org/specializations/python
  * https://www.coursera.org/professional-certificates/aws-cloud-technology-consultant
  * https://www.coursera.org/professional-certificates/google-it-support