Practice Tests: Datadog Fundamentals Certification

Are you preparing to be Datadog Fundamentals certified? Taking the practice tests here will help you in two ways:

1. Test the coverage of your knowledge - Most Datadog users master the features that they use in their day-to-day work but are less familiar with functionalities that they need less frequently. You can use the practice test to test how much you already know and which topics you need to learn more about. Each question in the practice tests includes an explanation and/or points to the relevant Datadog documentation for you to review.

2. Familiarize you with the question patterns - Getting certified through a multiple choice test is a skill on top of your Datadog product knowledge. You can use the practice test to help anticipate how questions are phrased and how wrong choices are presented to distract you from the correct answer. The questions are designed to mimic the tone and style of the official Datadog certification to simulate the testing experience.

Note: This is a practice tests course only so there will be no lectures. Although there are no lectures, you can master Datadog concepts by reviewing the explanation on each question.

This course contains multiple practice tests with 90 questions each. Each practice test should be taken in under 2 hours.

The practice test only contains multiple choice type of question similar to the real Datadog certification. There's one correct response and two or more incorrect responses. You need to select the response that best answers the question posed. There are no deductions for choosing incorrect answers.

The practice tests will test your knowledge on the following topics:

General computing knowledge

• Understanding configuration file types and modification

• Understanding hardware and operating system concepts

• Interpreting small programs and shell commands

• Networking for sending and receiving monitoring data

Note: The real Datadog certification may test you on YAML formatting, basic Python coding, etc. which may seem unrelated to Datadog. They are related because the Datadog Agent uses YAML for configuration; and custom integrations and custom metric submission are written in Python. The practice tests here will also test you on these type of questions.

Configuring the Datadog Agent for development

• Installing the Agent and its integrations in different infrastructure types

• Using API keys and application keys

• Knowing the hostnames, ports, and IP addresses used by the Agent

• Understanding the Agent's auto-discovery capabilities

Collecting data for monitoring

• Collecting data through Datadog crawlers and Agent integrations

• Collecting data through DogStatsD and rest API

• Applying best practices for tagging data

• Understanding metrics or timeseries data in Datadog

Visualizing and utilizing data

• Reading the host map, dashboards, and other default views

• Creating custom dashboards

• Querying with metrics and tags

• Alerting with monitors

Troubleshooting Datadog monitoring

• Using Agent commands for troubleshooting

• Reading Agent log files for troubleshooting

• Investigating Agent configuration files