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Practice Test: Datadog Certified APM and Distributed Tracing Fundamentals

person icon Marc Santos

4.2

Practice Test: Datadog Certified APM and Distributed Tracing Fundamentals

180 high-quality questions with explanations to ace Datadog's APM and Distributed Tracing Fundamentals certification

updated on icon Updated on Jul, 2024

language icon Language - English

person icon Marc Santos

category icon IT Certification,Cloud Computing,SaaS

Lectures -4

Quizzes -2

4.2

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Course Description

Are you preparing to be Datadog certified on APM and Distributed Tracing 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. Familiarise 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 type of question 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 APM and Distributed Tracing knowledge

    • Justifying the rationale of APM

    • Understanding Datadog's approach to APM, including tagging and retention

    • Understanding various tracing architectures and different types of tracers

  • Collecting distributed traces

    • Familiarise with Datadog tracing libraries, instrumentation types, and Datadog Agent

    • Distinguishing sampling versus retention

    • Applying best practices in APM data security

    • Correlating trace, logs, RUM, and profiles

  • Visualising APM data

    • Understanding various service views and search syntax

    • Navigating flame graphs, error and deployment tracking, and span summary

    • Differentiating live and retained traces

    • Dashboarding service performance, generated metrics, and Apdex scores

  • Troubleshooting and alerting on APM data

    • Troubleshooting slow endpoints

    • Applying trace search during outages

    • Creating monitors and SLOs

Goals

  • Pass the Datadog certification exam
  • Answer common questions on Datadog functionalities
  • Apply Datadog knowledge to solve theoretical problem scenarios
  • Familiarize with the question patterns in the Datadog exam
  • Manage time when taking the Datadog certification exam

Prerequisites

  • Have taken APM courses in the Datadog Learning Center or have used the Datadog APM product for more than three months
  • Have skimmed the APM documentation in Datadog's website
Practice Test: Datadog Certified APM and Distributed Tracing Fundamentals

Curriculum

Check out the detailed breakdown of what’s inside the course

Before Taking the Practice Test
1 Lectures
  • play icon About the Datadog Certification
Practice Test 1
1 Lectures
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Practice Test 2
1 Lectures
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After Taking The Practice Tests
1 Lectures
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Instructor Details

Marc Santos

Marc Santos

3x Datadog Certified

Marc Santos is a 3x Datadog Certified observability guru. He has over 15 years of IT research, development, and consulting experience – the most recent of which is advising enterprises on observability products like infrastructure and application performance monitoring. He's the author of several scientific articles on user interface design and usability, and he reviews for engineering journals in the field of human-computer interaction. His mission is to support learners in getting the most out of their cloud and SaaS solutions to gain value for themselves and their companies.

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