• Exam Breakdown
  • Domain Breakdown
  • Access Breakdown

Exam Format

  •  Exam Code: Datadog Fundamentals
  •  Certification Level: Foundation / Entry-Level
  •  Exam Duration: 120 minutes
  •  Passing Score: Not publicly disclosed by Datadog
  •  Unscored Content: Datadog does not publicly state that this exam includes unscored questions.

Exam Details

  •  Question Types: Multiple choice
  •  Number of Questions: 90 multiple-choice questions
  •  Hands-On Questions: No hands-on lab is publicly listed; Datadog describes the exam as a multiple-choice certification exam.

Exam Policies

  •  Offline Proctoring: Onsite proctored exams must be canceled or rescheduled at least 72 hours before the scheduled exam time.
  •  Online Proctoring: Online proctored exams must be canceled or rescheduled at least 24 hours before the scheduled exam time.
  •  Waiting Period: Datadog’s public certification overview does not clearly publish a standard failed-attempt waiting period.
  •  Retake Fee: Each retake requires a separate payment and is not covered by the original exam fee.

Certification Validity and Renewal

  •  Validity: 3 years from the date of certification
  •  Renewal Options: Renew by retaking the exam after the validity period.

Exam Fee

  •  Base Fee: $100 USD (excluding taxes)
  •  Taxes: Country-specific VAT/GST may apply
  •  Example: If 18% tax applies in India, the total would be $118 USD ($100 + $18 tax)

Prerequisites

There are no formal prerequisites for taking the Datadog Fundamentals exam. However, it is recommended to have:
  •  Basic computer fundamentals
  •  Familiarity with infrastructure and networking basics
  •  Introductory exposure to Datadog platform concepts and workflows

Exam Topics

  •  Basic Computer Fundamentals
  •  Infrastructure Deployment with Datadog
  •  Networking and Datadog Agent Configuration
  •  Data Collection
  •  Troubleshooting the Datadog Agent
  •  Data Visualization and Utilization

Intended Audience

  • The Datadog Fundamentals certification is ideal for those beginning or building their knowledge of the Datadog platform, including roles such as:
  •  DevOps Engineer
  •  Site Reliability Engineer (SRE)
  •  Cloud Engineer
  •  IT Operations Professional
  •  Support and Monitoring Professionals

This exam is suited to entry-level Datadog users who want to demonstrate working knowledge of Datadog’s products for common use cases.

Career Impact

Jobs You Can Get:

  • DevOps Engineer, SRE, Cloud Operations Engineer, Monitoring Engineer, Platform Support Engineer

Average Salary:

  • Varies by country — U.S.: $80,000–$130,000 USD,
  • India: ₹6,00,000–₹18,00,000 INR,
  • United Kingdom: £45,000–£85,000 GBP,
  • UAE: 130,000–250,000 AED per year.

 Why It’s Valuable:

  • Datadog states that certification confirms expertise with the Datadog platform and demonstrates to employers that the candidate can apply that knowledge effectively.

Exam Mode

The exam is proctored and can be taken either:
  •  In-person at authorized Kryterion test centres
  •  Online through Webassessor, provided by Kryterion

Exam Booking Link

Once you pass the exam

  •  You receive a Credly badge after passing a Datadog certification exam.
  •  Datadog manages exam registration and completed exams through Webassessor.
  •  Datadog also provides a certification learning path and practice exam for preparation and follow-on study.

Offers

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To strengthen your knowledge and approach exam day with confidence. We provide practice questions to help you understand the exam format and question patterns.

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    Top Reasons to Choose
    Datadog Fundamentals

    Strong Foundation in Observability Skills

    This certification builds core Datadog knowledge in agents, integrations, metrics, dashboards, monitors, troubleshooting, and platform usage, giving beginners a practical observability foundation for cloud, operations, and support roles.

     
    Covers Real Datadog Platform Workflows
    The exam focuses on actual Datadog workflows like Agent configuration, telemetry collection, integrations, visualization, and troubleshooting, helping candidates validate day-to-day monitoring skills used across modern cloud and infrastructure environments.
    Useful Entry Point for Datadog Careers

    As Datadog’s foundational certification, it strengthens resumes, validates baseline platform skills, supports entry-level observability responsibilities, and prepares candidates for more specialized Datadog certifications and broader monitoring career growth.

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    FAQ

    • Who should take the Datadog Fundamentals exam?

      The Datadog Fundamentals exam is best for beginners and early-career professionals who use Datadog for monitoring and observability tasks. It fits administrators, DevOps engineers, support engineers, SREs, and technical users who need working knowledge of agents, integrations, dashboards, monitors, tags, troubleshooting, and basic platform workflows in real environments.

    • How difficult is the Datadog Fundamentals exam?

      The exam is generally beginner to intermediate in difficulty. It does not appear to target advanced specialization, but candidates still need practical familiarity with Datadog workflows, Agent setup, integrations, networking basics, metrics, dashboards, monitors, and troubleshooting. Those with hands-on practice usually find it manageable, while theory-only preparation may not be enough.

    • Why does Datadog offer the Datadog Fundamentals certification?

      Datadog offers this certification to validate foundational knowledge of its platform and confirm that certified individuals can use core capabilities effectively. It helps employers identify people with proven skills in deployment, configuration, data collection, troubleshooting, and visualization, while giving learners a structured starting point for developing deeper observability and monitoring expertise.

    • What tools and resources can be used to prepare for the Datadog Fundamentals exam?

      Candidates can prepare using Datadog’s official certification learning path, downloadable exam guide, practice exam, and product documentation. The official learning path covers the exam topics and includes courses on observability, dashboards, tagging, Agent setup, integrations, and metrics. Hands-on platform usage is especially helpful for reinforcing the concepts tested on exam day.

    • Is the Datadog Fundamentals certification still valuable in 2026?

      Yes, it remains valuable in 2026 because observability, monitoring, and operational visibility continue to matter across cloud environments. Datadog still actively offers the certification and related learning path, and foundational platform knowledge remains useful for support, operations, DevOps, and reliability-focused roles that depend on Datadog for day-to-day monitoring and troubleshooting workflows.