Practice Test: Datadog Certified Log Management Fundamentals

Are you preparing to be Datadog certified on Log Management Fundamentals? 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 tests to confirm how much you already know and which topics you need to learn more about. Each question in the mock test 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 exam is a skill on top of your Datadog product knowledge. You can use the practice tests 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 exam to simulate the testing experience.

Note: This is a practice test 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 to be taken in under 2 hours.

The mock test only contains multiple-choice types of questions similar to the real Datadog exam. 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 mock test will test your knowledge on the following topics:

• General log management knowledge

  • Justifying the rationale of logging systems

  • Understanding logging sources and formats

  • Addressing common logging use cases

• Collecting logs

  • Enabling log collection

  • Filtering logs to be collected

  • Obfuscating sensitive data in logs

• Parsing and processing logs

  • Using log processors and log pipelines

  • Using standard attributes

  • Understanding the composition of a log

• Searching and filtering logs

  • Understanding the Live Tail and Log Explorer views

  • Applying log explorer functionalities

  • Using the Datadog log search syntax

• Visualizing and analyzing logs

  • Filtering and/or excluding logs for analysis

  • Using different log aggregations

  • Visualizing and communicating information from logs

  • Exporting logs out of Datadog

• Operating with log management features

  • Ingesting and indexing logs

  • Archiving and rehydrating logs

  • Creating monitors and alerts

  • Generating metrics from logs

  • Handling sensitive data in logs

  • Controlling access to logs

• Troubleshooting logs setup issues

  • Troubleshooting Datadog Agent issues

  • Troubleshooting log ingestion issues