Datadog Fundamentals Certification

Preparation Guide on Datadog Fundamentals Certification

The Datadog Fundamentals Certification Exam focuses on providing foundational knowledge on using the Datadog platform effectively, deploying Datadog infrastructure, collecting data, troubleshooting the Datadog Agent, visualizing data, etc. 

This blog will cover everything you need to know about the Datadog Fundamentals certification exam – what it is, the skills you will learn, their importance, the syllabus, the requisites, and more.

Let’s dive in. 

What is the Datadog Fundamentals Exam? 

The Datadog Fundamentals certification assesses individuals’ foundational knowledge of the Datadog ecosystem. It covers various topics, from Linux command line basics to metric visualization strategies. Certification holders are adept at using Datadog for everyday use cases and are well-prepared to learn advanced topics relevant to their roles.

This exam will test and validate knowledge on the following topics:

  • Computer fundamentals such as CPUs, RAM, and data storage
  • Basics of the Linux operating system
  • YAML, JSON, Python, and shell scripts
  • Networking basics, including IP addresses and protocols such as HTTP, TCP, and UDP
  • Installing and configuring the Datadog Agent in various environments
  • Installing and configuring Datadog integrations
  • Standard troubleshooting techniques in Datadog
  • Aggregating and visualizing data in the Datadog application
  • Searching and filtering events, logs, and metrics using tags and facets
  • Creating Datadog monitors with targeted notifications
  • Familiarity with the Datadog API

In the Datadog Fundamentals course, you will learn to use Datadog as a central hub for collecting and visualizing system metrics and performance data. 

First, you’ll learn to set up monitors and notifications to alert you when servers or applications are not running as expected. 

Next, you’ll explore how to use dashboards to visualize metrics.

Finally, you’ll discover how advanced log aggregation can provide deeper insights into system behavior. By the end of the course, you’ll understand how Datadog offers a comprehensive view of application performance from end to end.

What will you learn from the Datadog Fundamentals Certification? 

The Datadog Fundamentals Certification helps establish a solid foundation for using Datadog to monitor your systems, identify performance bottlenecks, troubleshoot problems, and ensure the overall health and performance of your cloud infrastructure and applications.

  • Datadog Core Products and Concepts

Get to know Datadog’s core elements. You’ll explore platform integrations, Universal Service Monitoring, the Service Catalog, logs, metrics, monitors, Service Level Objectives (SLOs), and dashboards. These are the essential tools for monitoring and managing your services.

  • Infrastructure Deployment with Datadog

Learn how to deploy the Datadog Agent on your infrastructure. This agent collects critical monitoring data from your servers, containers, and cloud services, giving you the insights you need to manage your environment.

  • Networking and Datadog Agent Configuration

Configure the Datadog Agent to monitor your network traffic and performance. Set up network monitoring to track bandwidth usage, latency, and packet loss, ensuring you have real-time insights into your network’s health.

  • Data Collection

Discover how Datadog gathers metrics, logs, and traces from your infrastructure and applications. This data collection gives you a comprehensive view of performance, helping you identify issues and optimize your systems.

  • Troubleshooting the Datadog Agent

Learn to troubleshoot the Datadog Agent. Gain the skills to diagnose and resolve issues, ensuring your data collection and monitoring remain accurate and reliable.

  • Data Visualization and Utilization

Master Datadog’s visualization tools. Create and customize dashboards, set up alerts, and use analytics to gain meaningful insights from your data. This will help you monitor systems, identify trends, and make informed decisions.

Who should take the Datadog Fundamentals certification exam?

Candidates should have a foundational understanding of observability principles and regularly use Datadog’s essential products and features. You are a good fit for the exam if you think you are: 

  • IT Professionals: Enhance your skills in infrastructure monitoring.
  • DevOps Engineers: Focus on continuous integration and deployment.
  • System Administrators: Improve system reliability.
  • Site Reliability Engineers (SREs): Optimize service performance.
  • Cloud Architects: Monitor cloud services and resources effectively.
  • Technical Team Leaders: Maintain operational visibility for your team.

Why should you take the Datadog Fundamentals Certification Exam?

The Datadog Fundamentals Certification Exam is essential for building a strong grasp of using Datadog to monitor systems effectively. It confirms your understanding of critical concepts such as infrastructure monitoring, data collection, visualization, and troubleshooting using Datadog’s tools. 

Achieving this certification showcases your capability to identify performance issues, resolve problems, and maintain the overall health and efficiency of cloud infrastructure and applications with Datadog. Here’s why you should take the Datadog Fundamentals certification. 

  • Regain Control of Your Network Infrastructure

Exploring Datadog’s comprehensive feature set can be transformative for managing your workload and improving your work-life balance. It combines application performance monitoring (APM), log management, testing, profiling, and data visibility in one platform, streamlining operations effectively.

  • Datadog Is Fast Becoming a NetOps Tool of Choice

Embracing Datadog keeps you competitive in an industry where many competitors already leverage its advantages. Staying ahead with Datadog enhances your operational capabilities and positions your organization for success.

  • Seamless Integration, Infinite Possibilities

Datadog offers over 450 third-party platform integrations and is continually expanding its capabilities. This adaptability empowers you to design personalized, end-to-end monitoring workflows that perfectly align with your unique requirements and preferences.

  • Make Light Work of Fault Finding and Resolving

Datadog simplifies diagnosing and resolving network issues, even in critical situations. The advanced tracing features enable swift problem identification, reducing downtime and associated costs with Datadog.

  • Learn Datadog to Boost Your Career 

Mastering Datadog enhances your professional profile in a competitive job market. With Datadog’s substantial market share of 59.64%, proficiency with this tool can significantly boost your attractiveness to employers seeking efficient network monitoring and management skills.

Prerequisites for the Datadog Fundamentals Certification

While there are no formal prerequisites for the Datadog Fundamentals Certification, candidates are encouraged to have a foundational understanding of several key areas for the Datadog Fundamentals Exam:

  • Fundamental computing concepts include CPU, RAM, and data storage.
  • Basic knowledge of Linux, including familiarity with essential commands and operations.
  • Proficiency in interpreting YAML, JSON, Python, and Shell Scripts.
  • Understanding of basic networking principles.
  • Familiarity with Datadog, including Agent configuration and commands.
  • Competence in utilizing Datadog Integrations, API, Metrics, Tags, Host Map, Monitors, Log Search & Filter, and Metric Search & Filter functionalities.

Here are specific job tasks that are not in the scope of the certification but can act as brownie points:

  • Programming
  • Systems Architecture
  • Testing

Datadog Fundamentals Certification Exam Domains

The Datadog Fundamentals certification exam covers six domains  in this exam.  

Domain
Computer Fundamentals
Networking & Agent Configuration
Infrastructure Development
Data Collection
Data Visualization & Utilization
Troubleshooting Datadog

Each of these domains has several subtopics that include: 

Computer Fundamentals

  • Config File Modification
  • Programming Languages
  • Shell
  • Networking
  • Operating Systems
  • Hardware Concepts
  • Metadata

Networking & Agent Configuration

  • Datadog Ports
  • Auto-discovery
  • Datadog IP Addresses

Troubleshooting Datadog

  • Agent Commands
  • Agent Config Files
  • Agent Logs

Infrastructure Development

  • Agent Installation
  • Application Key
  • Agent Hostname
  • API Key
  • Running the Agent

Data Collection

  • DogStatsD
  • Agent Integrations
  • Tagging Best Practices
  • Crawlers
  • API Endpoints
  • Metrics & Time Series

Data Visualization & Utilization

  • Host Map
  • Using Metrics
  • Monitors and Alerts
  • Dashboards
  • Using Tags

Materials to refer for Datadog Fundamentals certification

You will find numerous materials and study resources to kickstart your journey for Datadog Fundamentals Certification exam preparation. For starters, you can refer to: 

Datadog Learning Center

Learn by coding on real cloud computing instances using our free interactive platform. Whether you are a beginner, an experienced developer, an operations professional, or a security expert, you can confidently monitor, scale, and secure your applications. Here are a few courses included in the learning center: 

  • Introduction to Observability

What is observability? This fundamental question must be answered before you use the Datadog platform. In this introductory course, we’ll cover the three pillars of observability and prepare you to advance to our Datadog Foundation training.

  • Datadog Foundation

This course introduces the Datadog platform’s basic products and concepts. You’ll learn about integrations, Universal Service Monitoring, the Service Catalog, logs, metrics, monitors, service-level objectives, and dashboards.

  • Datadog 101: Developer

Learn the essential Datadog features and capabilities for application developers. This course covers working with integrations, configuring services for APM, synthetic API and browser testing, and Real User Monitoring (RUM).

Datadog Fundamentals Learning Path

Completing the courses in this learning path helps you develop a solid foundation of basic knowledge about the Datadog platform and its core offerings. Upon completion, you will earn a Credly badge for Datadog Fundamentals. 

Here are some of the courses: 

Datadog Fundamentals Certification Practice Exam

You will find numerous sample papers on the internet that will help you test your theoretical knowledge. But to begin with an authentic and validated source, you can start with the Official practice exam from Datadog. Answer these 25 questions to check your understanding of Datadog products in preparation for the full exam. 

How do you prepare for the Datadog Fundamentals Certification Exam?

When preparing for your certification exam, consider these steps:

  • Understand the Exam Objectives: Thoroughly review the exam guide to grasp the topics, questions, and prerequisites of the Datadog fundamentals certification exam. This assessment will help gauge your readiness.
  • Gather Study Materials: Research and collect recommended study guides, books, videos, and online courses that aid in exam preparation.
  • Hands-On Experience with Online Labs: Engage in online labs to gain practical experience, tackle real-world challenges, and leverage Datadog features for maximum cloud efficiency.
  • Practice with Datadog Fundamentals Certification Exam Papers: Attempt practice papers for the Salesforce Certified Associate exam to familiarize yourself with its format and style.
  • SWOT Analysis and Revision: Conduct a SWOT analysis to identify strengths, weaknesses, opportunities, and threats in your preparation. Focus on reinforcing weak areas and practicing exams to enhance your performance.

FAQs

1. What is Datadog

Datadog is a monitoring and analytics tool IT and DevOps teams use to evaluate performance metrics and monitor events across infrastructure and cloud services. This versatile software can monitor various services, including servers, databases, and other essential tools.

2. Is Datadog free to use? 

Certainly! Datadog offers various plans for infrastructure monitoring, starting with a Free plan. This plan includes essential data collection and visualization features, supports up to 5 hosts, and provides a 1-day metric retention period. Additionally, Datadog provides Pro and Enterprise plans that offer advanced features and capabilities.

3. Which programming languages are used in Datadog? 

Datadog employs various programming languages and software frameworks in its development. Some of the languages and frameworks used include:

  • Node.js
  • .NET’
  • Bootstrap
  • Java
  • PHP
  • C#
  • Ruby
  • Go

Conclusion

Hope this blog helps you understand the nuances of the Datadog Fundamentals Certification. Just hosting applications and solutions on the cloud is not enough. Organizations need to monitor the cloud environment, detect anomalies, and ensure it helps apps run smoothly while providing a smooth user experience using tools like Datadog. 

But to make the best of it, they need professionals with deep expertise in handling this tool. Datadog fundamentals certification is one of the best ways to leverage the growing scope and upskill yourself. 

Whizlabs offers a comprehensive training package tailored for your Datadog Fundamentals certification journey. You can take your preparation to the next level with our 150+ practice questions featuring countless unique scenarios, exhaustive answers, and video courses crafted by industry experts. You can also gain access to Whizlabs resources and utilize hands-on labs and Sandboxes to experiment with exam assets, Datadog features, and numerous DevOps tools. Interested in learning more about the Datadog fundamentals certification exam? Contact us today.

 

 

 

 

About Basant Singh

Basant Singh is a Cloud Product Manager with over 18+ years of experience in the field. He holds a Bachelor's degree in Instrumentation Engineering, and has dedicated his career to mastering the intricacies of cloud computing technologies. With expertise in Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), he stays current with the latest developments in the industry. In addition, he has developed a strong interest and proficiency in Google Go Programming (Golang), Docker, and NoSQL databases. With a history of successfully leading teams and building efficient operations and infrastructure, he is well-equipped to help organizations scale and thrive in the ever-evolving world of cloud technology.

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