Datadog Fundamentals v1.0

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Exam contains 90 questions

In Datadog Agent-based integrations, what is a custom check?

  • A. a test used to verify the integrity of the Agent’s installation
  • B. a routine to check the compatibility of the Agent with different systems
  • C. a user-defined function for collecting specific data


Answer : C

Which parent directory contains the subdirectory /dns_check.d?

  • A. /conf.d
  • B. /checks.d
  • C. /datadog-agent


Answer : A

For which of the following technologies is a Datadog Agent-based integration available?

  • A. Google Cloud
  • B. NGINX
  • C. Slack


Answer : B

A user wants to fetch all of their existing dashboard list definitions programmatically. What authorization scope should be assigned to the endpoint “https://api.datadoghq.com/api/v1/dashboard/lists/manual”?

  • A. dashboards_read
  • B. user_access_read
  • C. dashboards_public_share


Answer : A

Which reserved tags are used as part of unified service tagging?

  • A. host, source, env
  • B. service, env, version
  • C. source, version, device


Answer : B

Which of the following tag definitions is valid?

  • A. namespace:kube-system-*
  • B. 2_python_version:2.7.11
  • C. image_name:nginx/ingress


Answer : C

Which of the following strategies does Datadog recommend for tagging metrics from services running on multiple Datadog-supported cloud platforms?

  • A. Create a small number of normalized tags applicable to all of the metrics.
  • B. Install the proper cloud integration and allow it to tag metrics automatically
  • C. Tag the metrics with source: cloud to enable aggregation


Answer : A

Authentication or “crawler” integrations differ from Datadog Agent integrations in which of the following ways?

  • A. Unlike crawlers, the timing granularity of Agent integrations cannot be controlled: Agent checks run on pre-defined timing cycles only.
  • B. Crawlers are configured directly in the Datadog application, and their execution and reporting cycles are not tied to an individual Agent.
  • C. Agent integrations are used only to monitor system and OS-level resources, and cannot access cloud resources.


Answer : B

Which of the following is true about crawler-based integrations?

  • A. They leverage Agents to synchronize metrics with Datadog.
  • B. They are used to pull metrics into Datadog.
  • C. They are used to push metrics to Datadog.


Answer : B

Which of the following steps is required to enable a Datadog crawler-based integration to authenticate with a cloud provider?

  • A. Create a service account, identity, or role in the cloud provider.
  • B. Install the Datadog Agent on each cloud instance.
  • C. Configure the crawler to use the cloud provider’s SDK.


Answer : A

Which of the following mechanisms does Datadog use to obtain metrics from third-party cloud services such as Slack and PagerDuty?

  • A. log streams
  • B. Autodiscovery
  • C. authentication integrations


Answer : C

What is the flush interval for DogStatsD?

  • A. 20 seconds
  • B. 10 seconds
  • C. 30 seconds


Answer : B

What is the PRIMARY reason DogStatsD uses UDP?

  • A. UDP is more secure than TCP
  • B. UDP guarantees the data delivery
  • C. UDP is non-blocking


Answer : C

Which DogStatsD feature is an extension of StatsD?

  • A. UDP support
  • B. gauge metric type
  • C. tagging


Answer : C

DogStatsD is used to

  • A. send custom metrics to Datadog
  • B. pull usage statistics from Datadog
  • C. call Datadog REST API endpoints


Answer : A

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Exam contains 90 questions

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