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    Free Practice Questions for Datadog Fundamentals Certification

    Guide checked for updates:
    9 Oct 2026
    Question bank created:
    12 Mar 2026
    Question bank last updated:
    13 Sep 2026

    Study with 371 exam-style practice questions designed to help you prepare for the Datadog Fundamentals.

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    Exam Details

    Key information about Datadog Fundamentals

    Official study guide

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    Question formats CertSafari offers
    • Multiple choice
    exam format:

    Multiple choice

    prerequisites:

    General computing knowledge (CPU, RAM, Data storage), Linux basics, familiarity with YAML, JSON, Python, and shell scripts, basic networking, and experience with Datadog Agent configuration and commands, Integrations, API, Metrics, Tags, Host Map, Monitors, Log Search & Filter, and Metric Search & Filter.

    target audience:

    Entry-level Datadog users who understand Observability principles and are frequent users of Datadog’s core products and features.

    time limit minutes:

    120 minutes

    number of questions:

    75 scored questions (plus 15 unscored pre-test questions)

    Exam Topics & Skills Assessed

    Skills measured (from the official study guide)

    1: Computer Fundamentals

    1.1: Config File Modification

    Config File Modification

    1.2: Operating Systems

    Operating Systems

    1.3: Programming Languages

    Programming Languages

    1.4: Hardware Concepts

    Hardware Concepts

    1.5: Shell

    Shell

    1.6: Metadata

    Metadata

    1.7: Networking

    Networking

    2: Infrastructure Development

    2.1: Agent Installation

    Agent Installation

    2.2: API Key

    API Key

    2.3: Application Key

    Application Key

    2.4: Running the Agent

    Running the Agent

    2.5: Agent Hostname

    Agent Hostname

    3: Networking & Agent Configuration

    3.1: Datadog Ports

    Datadog Ports

    3.2: Datadog IP Addresses

    Datadog IP Addresses

    3.3: Auto-discovery

    Auto-discovery

    4: Data Collection

    4.1: DogStatsD

    DogStatsD

    4.2: Crawlers

    Crawlers

    4.3: Agent Integrations

    Agent Integrations

    4.4: API Endpoints

    API Endpoints

    4.5: Tagging Best Practices

    Tagging Best Practices

    4.6: Metrics & Timeseries

    Metrics & Timeseries

    5: Troubleshooting Datadog

    5.1: Agent Commands

    Agent Commands

    5.2: Agent Logs

    Agent Logs

    5.3: Agent Config Files

    Agent Config Files

    6: Data Visualization & Utilization

    6.1: Host Map

    Host Map

    6.2: Dashboards

    Dashboards

    6.3: Using Metrics

    Using Metrics

    6.4: Using Tags

    Using Tags

    6.5: Monitors and Alerts

    Monitors and Alerts

    Techniques & products

    CPUs
    RAM
    Data storage
    Linux
    YAML
    JSON
    Python
    Shell scripts
    HTTP
    TCP
    UDP
    Datadog Agent
    Datadog Integrations
    Datadog API
    Metrics
    Tags
    Host Map
    Monitors
    Log Search
    Metric Search
    Events
    Config File Modification
    Hardware Concepts
    Metadata
    Networking
    Datadog Observability
    Agent Installation
    API Key
    Application Key
    Running the Agent
    Agent Hostname
    Datadog Ports
    Datadog IP Addresses
    Auto-discovery
    DogStatsD
    Crawlers
    API Endpoints
    Tagging Best Practices
    Metrics & Timeseries
    Agent Commands
    Agent Logs
    Agent Config Files
    Dashboards
    Monitors and Alerts
    Docker Daemon
    Query to the graph
    Docker Agent
    Metrics API
    Monitor types
    ddtrace

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