Datadog Fundamentals Datadog Fundamentals Dumps in PDF

Free Datadog Datadog Fundamentals Real Questions (page: 4)

Which of the following BEST describes the purpose of a networking port?

  1. It assigns unique IP addresses to devices on a network
  2. It provides a standardized endpoint for communication between devices
  3. It regulates the flow of data between devices on a network

Answer(s): B

Explanation:

A networking port identifies a specific endpoint on a device that allows applications or services to send and receive data over the network using standardized communication channels.



Which component of the Datadog observability platform displays all discovered services in a consolidated view?

  1. Resource Catalog
  2. Universal Service Monitoring
  3. Software Catalog

Answer(s): C

Explanation:

The Software Catalog provides a centralized view of all discovered services, allowing teams to inventory, organize, and understand ownership and metadata for services across the environment.



Which of the following serve as a key foundation for Datadog observability?

  1. errors
  2. tags
  3. traces

Answer(s): B

Explanation:

Tags provide the foundational context that allows Datadog to correlate, filter, aggregate, and analyze data across metrics, logs, and traces, enabling unified observability across the platform.



Which data types are most fundamental to observability?

  1. events, traces, logs
  2. metrics, logs, tags
  3. metrics, traces, logs

Answer(s): C

Explanation:

Metrics, traces, and logs form the three core pillars of observability, providing quantitative measurements, end-to-end request visibility, and detailed records of system activity needed to understand system behavior.



Which of the following backend programming languages are fully supported by Datadog?

  1. JavaScript and C++
  2. Rust and Python
  3. Ruby and Go

Answer(s): C

Explanation:

Datadog provides full backend support for both Ruby and Go, including native APM libraries, metrics collection, and deep integration features for monitoring application performance and behavior.



Which value MUST be set in the datadog.yaml file to enable Datadog Agent debug-level logs?

  1. log_level=debug
  2. log_level: ‘debug’
  3. log_level= ‘debug’

Answer(s): B

Explanation:

The Datadog Agent configuration file uses YAML syntax, which requires key-value pairs to be defined with a colon, and setting the log level to debug enables debug-level logging for the Agent.



In the following YAML block, what is the data type of excluded_filesystems?
instances: -use_mount: false excluded_filesystems: -tmpfs -/dev/sda2 -/dev/sda1

  1. a list
  2. a mapping
  3. a tuple

Answer(s): A

Explanation:

The value assigned to excluded_filesystems is a sequence of items denoted by hyphens, which in YAML represents a list data type.



Which file is used to specify the maximum number of log files that can be tailed in parallel?

  1. auto_conf.yaml
  2. datadog.yaml
  3. conf.yaml

Answer(s): B

Explanation:

The datadog.yaml file contains global Datadog Agent configuration settings, including limits that control how many log files the Agent can tail simultaneously.



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