Datadog Fundamentals Practice Exam

These questions are part of the practice quiz. Start practicing

• What is the folder where the configuration files are stored on a host installation for Linux?
• What does Datadog's service map visualize?
• Which method is used for tracking metrics per host in Datadog APM?
• How does DogStatsD differentiate itself from StatsD?
• What does the method walk() return when called on a Dog instance?
• What type of monitoring does NPM in Datadog focus on?
• What is the purpose of Datadog's APM (Application Performance Monitoring)?
• What command allows the configuration of default tags attached to metrics?
• How does Datadog's integration tile assist users?
• What indicates that an agent check is functioning properly in Datadog?
• What are the main components of a Datadog agent?
• What is a key advantage of using Datadog for small teams?
• What is the primary purpose of Datadog's Synthetic Monitoring?
• What are Datadog's "notebooks" used for?
• What does the `is_reliable` setting ensure when configuring the agent for dual shipping?
• What is Datadog primarily used for?
• What happens if the DNS hostname is an EC2 default?
• Which scale is used in Datadog for measuring system metrics?
• How is data aggregated in Datadog?
• What happens to DogStatsD metrics if the DD_DOGSTATSD_ORIGIN_DETECTION variable is not set?
• What is the first criterion for selecting the canonical hostname in Datadog?
• What are integrations primarily used for in Datadog?
• What is the main function of the Datadog API?
• What is the purpose of setting the `DD_IGNORE_AUTOCONF` variable?
• In which scenario would you use a reverse proxy with the Datadog Agent?
• What is the required type for the name of a service check?
• Which parameter should be added to tracer.config(...) in ddtrace for Python to send traces through UDS?
• What is a recommended practice when managing API keys in an organization?
• Which of the following metrics can be used to monitor the status of the Datadog agent?
• Which protocol is utilized for submitting metrics to Datadog?
• What is the maximum number of datapoints that can be displayed on a timeseries in Datadog?
• Where can you find complete examples of integration YAML files for the Datadog Agent?
• What is the command to filter a metric where the tag 'team' starts with `tps` and ends with `is_the_best`?
• What can be monitored using Datadog’s infrastructure integrations?
• What kind of file needs to be created to enable access to the Docker daemon for the agent?
• What is the typical CPU and memory overhead of the Datadog Agent?
• What service does Datadog provide for log management?
• What would be the output of the speak method in the JackRussellTerrier class?
• Which status does the datadog.agent.check_status check return if an Agent is unable to send metrics to Datadog?
• What aspect does Datadog's APM (Application Performance Monitoring) specifically assist with?
• What is the significance of APM traces in Datadog?
• What are the environment variables used to ignore containers?
• What should be done if the agent check returns a CRITICAL status?
• What does the datadog.agent.check_status check return when metrics are successfully sent to Datadog?
• What does "error tracking" refer to in Datadog?
• What permissions are attached to an API key in Datadog?
• What is the default time aggregation for a count metric in Datadog?
• Which of the following best describes a metric in Datadog?
• What type of data does Datadog's log management service analyze?
• What type of analysis can be performed with Datadog's Outlier Detection feature?
• What is the role of "monitors" in Datadog?
• What configuration setting defines the maximum memory usage for storing the metrics?
• Which outbound port is used for the Kubernetes HTTPS Kubelet?
• Which feature of Datadog provides access to historical performance metrics?
• What will be the output of the walk method when called on a JackRussellTerrier instance?
• What type of support does Datadog provide for troubleshooting?
• Which Datadog service can help track the health of a microservices architecture?
• Which of the following metrics is affected by "ignore containers" settings?
• Given an agent configuration, which hostname is assigned as the canonical hostname?
• What feature allows monitoring of user interactions in real-time within applications?
• What parameter is used in DogStatsD for Python to add a namespace to all metrics?
• What is a significant advantage of Datadog's custom dashboards?
• What feature does Datadog offer to visualize metric data over time?
• What does the term "custom metric" mean in Datadog?
• Why is using Unix Domain Sockets beneficial for DogStatsD?
• What does the “min_collection_interval” parameter control in Datadog?
• In Datadog, what does the term system.disk.used refer to?
• What are Datadog integrations?
• What is one of the key features of Datadog’s log management service?
• What aspect of performance is measured by Datadog's latency tracking?
• What type of address is 172.17.2.3 classified as?
• What is meant by a "metric" in Datadog?
• What port is designated for submitting custom metrics to the Datadog Agent using DogStatsD?
• How can you exclude a specific integration when Autodiscovery is enabled in Datadog?
• What threshold does a Datadog monitor use to trigger an alert?
• What type of data can be monitored by Datadog's integrations?
• How does Datadog categorize metrics from different services?
• Which of the following is NOT a data type for metrics in Datadog?
• What does setting DD_CHECKS_TAG_CARDINALITY=high change compared to DD_CHECKS_TAG_CARDINALITY=low?
• What feature of Datadog allows for visualization of application performance metrics?
• Which component of Datadog enables users to observe real-time application performance?
• How often does Datadog collect metrics by default?
• Which of the following monitor types cannot have SLOs created for them?
• What is the primary goal of Datadog Security Monitoring?
• What role does "tracing" play in performance monitoring?
• What would be the response of the given curl command when the metric name is empty?
• What is the maximum total storage space used from which an agent will not store metrics on disk?
• Which of the following best describes the function of the port 8125?
• What information is typically not included in a flare?
• What is a flare in the context of the Datadog Agent?
• Which metric in Datadog indicates on which hosts APM is running?
• What is the purpose of Datadog's "synthetics" feature?
• What is the benefit of using tags in Datadog?
• How frequently is the host map updated in Datadog?
• What type of metric reports the number of unique datapoints in Datadog?
• Which of the following is an example of a cloud service that can be integrated with Datadog?
• Which status code indicates a service check is in a CRITICAL state?
• What does a sample rate of 0 indicate in DogStatsD metric submission?
• What visual element on Datadog dashboards provides quick insights?
• What role do integrations play in Datadog?
• Which endpoint is used for APM traces intake in Datadog?
• What is the default host and port configuration for APM in the SDK?
• Why is monitoring infrastructure crucial for users of Datadog?
• What does DataDog's Infrastructure Monitoring provide?
• What is the primary purpose of Datadog’s APM (Application Performance Monitoring)?
• When are most functions applied in the context of time and space aggregation?
• What sample rate sends metrics 100% of the time with DogStatsD over UDP?
• How does Datadog support collaboration among team members?
• Which programming languages does Datadog support for custom integration?
• How can outbound traffic to Datadog be enabled in restricted networks?
• What is a common default value for the 'hostname' parameter in a service check?
• What is the default time aggregation method for a gauge in Datadog?
• What is the purpose of the DD_CONTAINER_INCLUDE environment variable?
• What is the shortcut key for quick graphs in the Datadog interface?
• What is the correct way to instantiate an object of the Dog class?
• What type of monitoring can be performed using Datadog's Service Checks feature?
• What is the parameter to configure the default tags attached to metrics emitted by containers on Kubernetes?
• In Datadog, what does a tag allow users to do?
• Which integration does Datadog support to enhance monitoring capabilities?
• What is the function of synthetic monitoring in Datadog?
• Which default time aggregation is used for a rate in Datadog?
• How do service-level agreements (SLAs) relate to monitoring in Datadog?
• What is the default number of check_runners in Datadog?
• What is the main purpose of the Datadog Events feed?
• What type of alerting can monitors in Datadog offer?
• How can all DogStatsD metrics coming via UDS be tagged with the same tags as with autodiscovery?
• Which of the following uses memory more efficiently?
• For a COUNT metric, what correction is applied based on the sample rate?
• What type of data visualization can be used in Datadog dashboards?
• What parameter is used to change the collection interval for an integration in Datadog?
• What type of alerts can users set up in Datadog?
• What is required to use Datadog integrations effectively?
• In the context of Datadog, what do widgets help with on dashboards?
• What crucial information does the system.disk.used metric provide?
• How are alerts configured in Datadog?
• How can users create customized dashboards in Datadog?
• In Datadog APM, what does a "service" represent?
• Which of the following describes the function of Datadog's dashboards?
• How would you describe a dashboard to someone unfamiliar with technical concepts?
• Which function is called when a Dog instance speaks?
• What are the four data types for metrics inside the Datadog platform?
• What is the reporting frequency of the Agent to the platform?
• What is the correct order of aggregation when using Datadog?
• When is the best time to check the status of a Datadog integration?
• How is data aggregated for a histogram in Datadog?
• What capability allows teams to respond quickly to potential security threats in Datadog?
• Which of the following is a function of the system probe in Datadog?
• What is the benefit of using Datadog's auto-discovery feature?
• What feature does Datadog provide for log management?
• What is required for the Datadog agent to access the Docker daemon?
• Which tag is included at high cardinality for container metrics on Kubernetes?
• What is the function of Datadog's incident management feature?
• How can users group different metrics in Datadog?
• What defines a private IP address in a networking context?
• Can the limit in agent configuration to store data above the 95% used disk space be changed?
• What happens to the application keys created by a disabled account?
• Is it a best practice to set multiple API keys for various deployment methods in an organization?
• Which metric type sends the sum of all received datapoints?
• How do users manage access control in Datadog?
• Which aggregation is performed for a gauge metric type with DogStatsD?
• In Datadog, what is the purpose of the tagging system?
• How does Datadog ensure high availability for monitoring?
• Which command can be used to view the current configuration settings for the Datadog agent?
• What functionality does the 'DogStatsD' component provide in Datadog?
• What is the primary benefit of using tags in Datadog?
• How can teams utilize Datadog’s alerting feature?
• How does Datadog facilitate infrastructure monitoring?
• For which OS is a standalone DogStatsD package NOT available?
• What visualization technique in Datadog allows for correlation of multiple metrics?
• Which status code corresponds to a WARNING state in service checks?
• Which feature in Datadog enables real-time alerting for high error rates?
• When should DogStatsD be preferred over UDP?
• How can Datadog help with cost optimization?
• How can a client identify which hosts NPM is running on in Datadog?
• What advantages do Notebooks offer to teams using Datadog?
• How many monitor types are available in Datadog?
• How can organizations ensure compliance and auditing in Datadog?
• Which component is essential for analyzing the performance of hosts in Datadog?
• How can users visualize application performance over time in Datadog?
• What advantage do users gain by sending custom metrics through DogStatsD?
• What happens to the value received for a GAUGE metric with respect to sample rates in DogStatsD?
• What alerting mechanism does Datadog provide?
• In DogStatsD for Python, which parameter is used to add consistent tags to all metrics?
• What does a default interpolation occur for?
• Which feature of Datadog is primarily used to visualize application performance?
• What command is used to change the log level of the agent without restarting it?
• What kind of data can be monitored by Datadog's infrastructure monitoring?
• What can be achieved by using time series graphs in Datadog?
• How many system level metrics can the agent collect every 15 to 20 seconds?