datadog

Can the Datadog Agent be installed and run on any operating system?. No, it only supports running on Linux based operating systems. No, you need to check the version of your operating system to ensure its compatibility. Yes, it can run on any version of an operating system without issue.

Which of the following is a correct statement?. No one is billed twice if they are running the Agent on an AWS EC2 instance that is also picked up by the Datadog AWS integration. Host level metrics can be obtained with almost no delay by relying on those provided by cloud services for a cloud based host. Host level metrics can be obtained with a higher resolution by using those provided by cloud services instead of the Datadog Agent.

Which of the following is a valid data source to populate an integration template when using the Datadog Agent's Autodiscovery feature in a Docker environment?. Key-value stores. Helm Chart. ConfigMap.

Dogstatsd uses UDP instead of TCP because. it is very reliable given it guarantees the delivery of applications metric data to DogstatsD. it is a connection-oriented protocol so the application will wait to transmit data incase DogStatsD isn't available. it allows the application to send metrics to DogStatsD and resume its work without waiting for a response.

Datadog Authentication (crawler) based integrations. use credentials provided by the user in Datadog for obtaining metrics with the API. are installed with the Datadog Agent and use a Python class method called check to define the metrics to collect. use the Datadog API to allow monitoring of applications based on the language they are written in.

In Datadog, metrics submitted with a fractions of a second timestamp?. are rounded to the nearest whole second. are stored in milliseconds to account for the fraction. are rejected by the metrics endpoint upon submission.

Which of the following commands will display the distribution and version of a Linux host?. cat /etc/os*. uname -n. hostname.

When wanting to install the Datadog Agent on 10 hosts by using a new Ansible server, the Ansible server has been set up, hosts have been added to the inventory file, and the necessary connectivity has been verified. Which step should be taken NEXT on the Ansible server?. Run the Datadog Agent installation command. Install the Datadog role from Ansible Galaxy. In the ansible.cfg file, set the host_key_checking variable to False.

When a user wants to instrument an application to send custom metrics to Datadog, how should they edit the Agent configuration file?. Un-comment the use_dogstatsd and dogstatsd_port parameters. Un-comment the use_dogstatsd parameter and set it to true. Un-comment the dogstatsd_port parameter and set it to 8125.

Which feature allows the ability to submit custom metrics programmatically to Datadog?. Datadog Agent. DogStatsD. Datadog API.

What is the main difference between Linux OS and Windows?. Linux is a free open source OS while Windows is a proprietary OS. Linux is a free OS while Windows is a paying OS. Linux is more secure than Windows.

Unified service tagging is a best practice that ties Datadog telemetry together through the use of which three standard tags?. host, service, and source. service, device, and version. env, service, and version.

To run an agent subcommand, this syntax must be used: <AGENT_BINARY><SUB_COMMAND> <OPTIONS> In order to get all the configurations loaded and resolved, which of the following subcommands should be used?. diagnose. configcheck. check.

Once an integration is enabled/configured, the out of box dashboards are. to be cloned and used as templates. the source of truth for all metrics collected for the integration. empty until new widgets are created.

To configure the Agent log level to collect critical, error, and warn logs only, how should the local datadog.yaml file be modified?. Replace # log_level: INFO with log_level: CRITICAL. Replace # log_level: INFO with log_level: ERROR. Replace # log_level: INFO with log_level: WARN.

For a host running in AWS, how does the Datadog agent determine the hostname?. The hostname must be configured in the agent's datadog.yaml file. The agent automatically discovers the EC2 instance id. The agent uses the IP address.

When a Datadog user account is disabled, what happens to the API and application keys that were created by this account?. API keys created by the disabled account remain valid. Application keys created by the disabled account are revoked. API keys created by the disabled account remain valid. Application keys are transferred to the admin account that created the disabled account. If this admin account is also disabled, the application keys are revoked. API and application keys created by the disabled account are revoked.

When a user is making configuration changes in a datadog.yaml file, which of the following is true?. The Datadog Agent must be restarted to apply changes made to datadog.yaml. The Datadog Agent must be stopped before making any changes to datadog.yaml. Changes at runtime may result in an error. Changes can be made dynamically in datadog.yaml.

Which of the following BEST describes custom metrics in Datadog?. All non-Agent metrics, such as those submitted by an integration, are considered custom metrics. Any metric submitted using DogStatsD or a custom Agent Check is a considered a custom metric. All metrics that are submitted by a community integration are considered custom metric.

Which of the following is a deployment tool?. Kubernetes. Red Hat Enterprise Linux. Ansible.

After making configuration changes to datadog.yaml while the Agent is running, the Agent will apply the changes. the next time it starts. during the next check cycle. when it receives the reload command.

What is the purpose of the auto_conf.yaml file in an integration's conf.d directory?. It is an example configuration template for the integration. It allows the agent to AutoDiscover services and monitor them using the integration. It configures the integration to run automatically.

An application is instrumented to send custom metrics via StatsD. What needs to be done in order to send histogram metrics?. Use StatsD to send histogram metric types. Add DogstatsD instrumentation to send histogram metric types. Calculate histogram values in the application and use StatsD to send them as metrics.

The agent on an Ubuntu host has been temporarily stopped in order to edit a configuration file, but needs to started again. What is the command to run?. sudo datadog-agent restart. sudo service datadog-agent restart. sudo service datadog-agent start.

For a Datadog Agent running on a host, what is the definitive method for determining its default configuration values?. Examine its original datadog.yaml file. Read the Agent documentation on docs.datadoghq.com. Run the command datadog-agent configcheck.

How often does the Agent report metrics to the platform?. 15 Seconds. a.

What protocol is used to submit metrics to Datadog?. HTTPS. c.

How does DogStatsD distinguish itself from StatsD?. DogStatsD supports events submission. s.

What is the outcome of the following curl command?. curl -X POST ""https://api.datadoghq.eu/api/v2/series"" \ -H ""DD-API-KEY: ${DD_API_KEY}"" \ -d @- << EOF {""series"":[{""points"":[{""value"": 1}],""resources"": [{""name"": ""host1"",""type"":""host""}]}]} EOF {""errors"":[""Payload validation failed: metric name is empty""]}. a.

5. The correct way to instantiate the above Dog class is: class Dog: def init__ (self, name, age): self.name = name self.age = age__Dog(""Rufus"", 3). s.

6. What's the output of the following code snippet?. class Dog: def walk(self): return ""walking"" def speak(self): return ""Woof!"" class JackRussellTerrier(Dog): def speak(self): return ""Arff!"" bobo = JackRussellTerrier() bobo.walk() Walking. d.

7. What is the CPU and Memory overhead of the Datadog Agent?. ~0.08% CPU / ~130MB RAM. s.

8. In case the network configuration restricts outbound traffic, how can the traffic to Datadog be enabled?. Use Nginx as a reverse proxy for the agents. a.

9. What is the definition of the `is_reliable` setting when configuring the agent for dual shipping?. It ensures that data is not missed if a destination becomes unavailable. s.

10. Given the above output from the agent configuration, which canonical hostname will be assigned to the agent?. Hostnames ========= hostname: my.special.hostname agent-hostname: ip-192-0-0-1.internal ec2-hostname: ip-10-24-34-0.ec2.internal instance-id: i-deadbeef socket-hostname: myhost socket-fqdn: myhost.mydomain. s.

11. With Autodiscovery enabled, how would you exclude a specific integration?. Set `DD_IGNORE_AUTOCONF= "<INTEGRATION NAME>"` as an environmental variable e.g. DD_IGNORE_AUTOCONF=""redisdb istio"". s.

12. An organization is implementing the practice of setting multiple API keys for various deployment methods: one for agents on Kubernetes in AW, one for on-prem with Chef, one for Terraform and one for developers deploying locally. Is this approach following the recommended best practices?. True, api key should have separate scope. z.

13. What port is used to submit custom metrics to the Datadog Agent via DogStatsD?. 8125. s.

14. Which is the endpoint for the APM traces intake?. trace.agent.datadoghq.com. s.

15. The IP address 172.17.2.3 is: public, multicast, private, class E?. private. s.

16. What is the definition of `system.disk.used`?. The amount of disk space in use. a.

17. What is a flare?. A zipped folder containing the configurations and logs of the Datadog Agent. s.

18. What does a flare not include?. Tracer debug logs. w.

19. How often is the host map updated?. Once every 1 minute. a.

20. Where can we find full examples of integration YAML files for the Datadog Agent?. Datadog/integrations-core. s.

21. In which category of metrics does `utilization` belong to?. Resource metrics. s.

22. What is the definition of a saturation metric?. Is a measure of the amount of requested work that the resource cannot yet service, often queued. s.

23. What command should I run to fix the following log permission error?. Error: file /var/log/application/error.log does not exist chmod 755 /var/log/application/ & chmod 644 /var/log/application/error.log Note: 711 would be enough for the directory to access the hierarchy. s.

24. Given the above metric, which one (s) represent (s) the space aggregation?. max:lab.spikes.rate{lunch:salad} by {host}.rollup(sum, 3600) 1----2-------------------3----------------4----------5----------------------- 1 & 4. s.

25. When will the monitor with the message below trigger?. {{^is_renotify}} something written @dev-team@company.com {{/is_renotify}} The monitor will not trigger the notification message in case of renotifying. s.

26. What is the range for private IP address?. 10.0.0.0 — 10.255.255.255 172.16.0.0 — 172.31.255.255 192.168.0.0 — 192.168.255.255. s.

27. What is the range for public IP address?. Anything not in the list below is public 10.0.0.0 — 10.255.255.255 172.16.0.0 — 172.31.255.255 192.168.0.0 — 192.168.255.255. s.

28. What is resource metrics?. Most components of your software infrastructure serve as a resource to other systems. Some resources are low-level—for instance, a server's resources include such physical components as CPU, memory, disks, and network interfaces. But a higher-level component, such as a database or a geolocation microservice, can also be considered a resource if another system requires that component to produce work. Resource metrics can help you reconstruct a detailed picture of a system's state, making them especially valuable for investigation and diagnosis of problems. For each resource in your system, try to collect metrics that cover four key areas: utilization is the percentage of time that the resource is busy, or the percentage of the resource's capacity that is in use. saturation is a measure of the amount of requested work that the resource cannot yet service, often queued. errors represent internal errors that may not be observable in the work the resource produces. availability represents the percentage of time that the resource responded to requests. This metric is only well-defined for resources that can be actively and regularly checked for availability. s.

29. What is a work metric?. Work metrics indicate the top-level health of your system by measuring its useful output. When considering your work metrics, it's often helpful to break them down into four subtypes: throughput is the amount of work the system is doing per unit time. Throughput is usually recorded as an absolute number. success metrics represent the percentage of work that was executed successfully. error metrics capture the number of erroneous results, usually expressed as a rate of errors per unit time or normalized by the throughput to yield errors per unit of work. Error metrics are often captured separately from success metrics when there are several potential sources of error, some of which are more serious or actionable than others. performance metrics quantify how efficiently a component is doing its work. The most common performance metric is latency, which represents the time required to complete a unit of work. Latency can be expressed as an average or as a percentile, such as "99% of requests returned within 0.1s". s.

What is the default metric type when submitting metric through API?. Not assigned. s.

31. What are the two methods used to send metrics with DogStatsD?. UDP or UDS (Unix Domain Socket). s.

32. What is the port to display the agent UI?. port: 5002. s.

33. What is the default port to receive spans?. port: 8126. s.

34. What are the names no accepted as canonical names for host (by default)?. Anything starting with ip- or domu https://github.com/DataDog/datadog-agent/blob/main/docs/agent/hostname_force_config_as_canonical.md Note: This can be overridden for agent 6.16+ or 7.16+ with hostname_force_config_as_canonical:true. s.

35. What is the default limit of API key?. 50 API keys. s.

36. Which port is exposing the datadog runtime metrics?. port: 5000. s.

37. What is the port used by the GUI and CLI to send commands to a running agent?. port: 5001. s.

38. In which OS the GUI is automatically enabled?. Windows and Mac. s.

39. What is the command to run a flare from a Debian host and in a k8s environment?. datadog-agent flare <CASE_ID> kubectl exec -it <AGENT_POD_NAME> -c agent -- agent flare <CASE_ID>. s.

40. How many containers in the daemonset pod deployment and what are their purpose?. One container with the Agent process (Agent + Log Agent) One container with the process-agent process One container with the trace-agent process One container with the system-probe process. s.

41. The canonical hostname is chosen according to the following rules. The first match is selected. What are those rules?. agent-hostname: A hostname explicitly set in the Agent configuration file if it does not start with ip- or domu. hostname (hostname -f on Linux): If the DNS hostname is not an EC2 default, for example: ip-192-0-0-1. instance-id: If the Agent can reach the EC2 metadata endpoint from the host. hostname: Fall back on the DNS hostname even if it is an EC2 default. https://docs.datadoghq.com/agent/faq/how-datadog-agent-determines-the-hostname/?tab=agentv6. s.

42. When to use DogStatsD over UDS?. Unix Domain Sockets allow you to establish the connection with a socket file, regardless of the IP of the Datadog Agent container. It also enables the following benefits: Bypassing the networking stack brings a significant performance improvement for high traffic. While UDP has no error handling, UDS allows the Agent to detect dropped packets and connection errors, while still allowing a non-blocking use. DogStatsD can detect the container from which metrics originated and tag those metrics accordingly. https://docs.datadoghq.com/developers/dogstatsd/unix_socket?tab=host. s.

43. What is the maximum number of datapoints that can be displayed on timeseries?. ~300 https://docs.datadoghq.com/dashboards/guide/query-to-the-graph/. s.

44. What is the order of aggregation time first or space first?. Time aggregation is before space aggregation https://docs.datadoghq.com/dashboards/guide/query-to-the-graph/. s.

45. What is the default time aggregation for a gauge in the Datadog platform?. Average. s.

46. What is the default time aggregation for a rate in the Datadog platforn?. Average. s.

47. What is the default time aggregation for a count in the Datadog platform?. Sum. s.

48. What are the aggregation rules per metric type with DogStatsD (at the agent level)?. METRIC TYPE AGGREGATION PERFORMED OVER ONE FLUSH INTERVAL GAUGE The latest datapoint received is sent. COUNT The sum of all received datapoints is sent. HISTOGRAM The min, max, sum, avg, 95 percentiles, count, and median of all datapoints received is sent. SET The number of different datapoints is sent. DISTRIBUTION Aggregated as global distributions. https://docs.datadoghq.com/developers/dogstatsd/data_aggregation/#aggregation-rules-per-metric-type. s.

49. When is a default interpolation set?. When the metric is a gauge or a rate and needs to be compared with others. The platform automatically apply a linear interpolation. s.

50. What is the permission attached to an API key?. None. An API key is required by the Datadog Agent to submit metrics and events to Datadog. It does not have any access to the data or config of the Datadog platform. s.

51. What happens to API key and APP keys created by an account that will be disabled?. If a user's account is disabled, any application keys that the user created are revoked. Any API keys that were created by the disabled account are not deleted, and are still valid. s.

52. On an agent host installation, what needs to happen for the agent to access the docker daemon?. Add the Agent user to the Docker group: usermod -a -G docker dd-agent Create a docker_daemon.yaml file by copying the example file in the Agent conf.d directory. If you have a standard install of Docker on your host, there shouldn't be anything you need to change to get the integration to work. s.

53. What is the command to change the log level at agent level without restarting the agent?. agent config set log_level debug. s.

54. What are the monitors that you cannot create SLO on?. Datadog monitor-based SLOs support the following monitor types: Metric Monitor Types (Metric, Integration, APM Metric, Anomaly, Forecast, Outlier) Synthetic Service Checks (open beta) https://docs.datadoghq.com/monitors/service_level_objectives/monitor/#prerequisites. s.

55. What is the default number of check_runners?. 4 - https://github.com/DataDog/datadog-agent/blob/main/pkg/config/config_template.yaml. s.

56. How many monitor types can you name?. There are 21 monitors - Host, Metric, Anomaly, APM, Audit Logs, CI, Composite, Custom Check, Error Tracking, Event, Forecast, Integration, Live Process, Logs, Network, Outlier, Process Check, Real User Monitoring, SLO Alerts, Synthetic Monitoring, Watchdog. s.

57. When setting up APM on the SDK, what are the default values for host, port and https?. localhost, 8126, False - https://ddtrace.readthedocs.io/en/stable/advanced_usage.html. s.

58. For which OS a standalone DogStatsD package is NOT available?. AIX - https://docs.datadoghq.com/agent/. s.

59. Which metric is affected by ""ignore containers"" settings?. - kubernetes.containers.running - docker.containers.stopped.total - kubernetes.pods.running - none - all None - https://docs.datadoghq.com/containers/docker/?tab=standard#ignore-containers The kubernetes.containers.running, kubernetes.pods.running, docker.containers.running, .stopped, .running.total and .stopped.total metrics are not affected by these settings. All containers are counted. This does not affect your per-container billing. s.

60. How many system level metrics the agent is able to collect every 15 to 20 seconds?. 75 to 100 - https://docs.datadoghq.com/getting_started/agent/. s.

61. Which outbound port is used for the Kubernetes HTTPS Kubelet?. port: 10250. s.

62. Which configuration setting defines the maximum memory usage for storing the metrics?. - forwarder_retry_queue_payloads_max_size - forwarder_queue_payloads_max_size - collector_retry_queue_payloads_max_size - collector_retry_queue_max_size forwarder_retry_queue_payloads_max_size - https://docs.datadoghq.com/agent/configuration/network/#data-buffering. s.

63. What is the maximum total storage space used from which agent will not store metrics on disk?. 80% - https://docs.datadoghq.com/agent/configuration/network/#data-buffering. s.

64. Can we change the limit in agent configuration to store data above or less 95% used disk space?. Yes, in the config file, parameter: forwarder_storage_max_disk_ratio – https://docs.datadoghq.com/agent/configuration/network/#data-buffering. s.

65. What are the environment variables to ignore containers?. DD_CONTAINER_INCLUDE, DD_CONTAINER_EXCLUDE, DD_CONTAINER_INCLUDE_METRICS, DD_CONTAINER_EXCLUDE_METRICS, DD_CONTAINER_INCLUDE_LOGS, DD_CONTAINER_EXCLUDE_LOGS https://docs.datadoghq.com/containers/docker/?tab=standard#ignore-containers. s.

66. What is the folder where the config are stored on a host installation?. linux: /etc/datadog-agent/conf.d/ mac: ~/datadog-agent/conf.d/ windows 2008, vista, newer: %ProgramData%\Datadog\conf.d https://docs.datadoghq.com/agent/guide/agent-configuration-files/?tab=agentv6v7. s.

67. What are the four data types for metrics inside the Datadog platform?. Gauge, Rate, Count, Distribution , https://docs.datadoghq.com/metrics/types/?tab=histogram#submission-types-and-datadog-in-app-types. s.

68. How to tag all DogStatsD metrics coming via UDS with the same tags as with autodiscovery?. On Kubernetes DD_DOGSTATSD_ORIGIN_DETECTION=true Note: container_id, container_name, and pod_name tags are not added by default to avoid creating too many custom metrics. https://docs.datadoghq.com/developers/dogstatsd/unix_socket/?tab=host#origin-detection. s.

69. What is the parameter to configure the default tags attached to metrics emitted by containers on Kubernetes?. DD_CHECKS_TAG_CARDINALITY. s.

70. What does DD_CHECKS_TAG_CARDINALITY=high change compare to DD_CHECKS_TAG_CARDINALITY=low?. It changes the tag attached to the check metrics. The tags below are added. Tag Cardinality Requirement container_name High Note: not included for the containerd runtime. container_id High rancher_container High Rancher environment mesos_task Orchestrator Mesos environment https://docs.datadoghq.com/containers/docker/tag/?tab=containerizedagent#out-of-the-box-tagging. s.

71. On ddtrace for Python, what is the parameter to add to tracer.config(...) to send traces through UDS?. uds_path -- tracer.configure(uds_path=""/path/to/socket"") https://ddtrace.readthedocs.io/en/stable/advanced_usage.html. s.

72. When are the functions being applied? before or after the time and space aggregation?. Most of the functions are applied at the last step. https://docs.datadoghq.com/dashboards/guide/query-to-the-graph/. s.

73. With DogStatsD in Python, what is the parameter to add a namespace to all metrics?. statsd_namespace https://docs.datadoghq.com/developers/dogstatsd/?tab=hostagent&code-lang=python%23client-instantiation-parameters#client-instantiation-parameters. s.

74. With DogStatsD in Python, what is the parameter to add the same tags to all metrics?. statsd_constant_tags https://docs.datadoghq.com/developers/dogstatsd/?tab=hostagent&code-lang=python%23client-instantiation-parameters#client-instantiation-parameters. s.

75. What are the required parameters for a service check?. PARAMETER TYPE REQUIRED DEFAULT VALUE DESCRIPTION <SERVICE_CHECK_NAME> String Yes - The name of the service check. <STATUS> Int Yes - A constant describing the service status: 0 for OK, 1 for WARN, 2 for CRITICAL, and 3 for UNKNOWN. Optional parameters <TAGS> List of key:value pairs No - A list of tags to associate with the service check. <HOSTNAME> String No Current host The hostname to associate with the service check. <MESSAGE> String No - Additional information or a description of why the status occurred. https://docs.datadoghq.com/developers/service_checks/dogstatsd_service_checks_submission/#function. s.

76. What are the various status for a service check?. 0 for OK, 1 for Warning, 2 for Critical, and 3 for Unknown. s.

77. What is the impact of a sample rate on DogStatsD metric submission over UDP?. A sample rate of 1 sends metrics 100% of the time, while a sample rate of 0 sends metrics 0% of the time. METRIC TYPE SAMPLE RATE CORRECTION COUNT Values received are multiplied by (1/<SAMPLE_RATE>). It's reasonable to assume that for one datapoint received, 1/<SAMPLE_RATE> were actually sampled with the same value. GAUGE No correction. The value received is kept as is. SET No correction. The value received is kept as is. HISTOGRAM The histogram.count statistic is a COUNT metric, and receives the correction outlined above. Other statistics are gauge metrics and aren't "corrected". https://docs.datadoghq.com/metrics/custom_metrics/dogstatsd_metrics_submission/#sample-rates. s.

78. A customer is not familiar with the concepts of dashboards and metrics. How would you describe both of these concepts to a user who has limited technical knowledge?. a. b.

79. How to filter for my_metric where the tag team starts with `tps` and finishes with `is_the_best`?. <aggr>:my_metric{team:tps,team:is_the_best}. s.

80. What is the shortcut for quick graphs?. G. s.

81. What is the parameter to change to collection interval for an integration?. min_collection_interval. s.

82. What are the possible options for datadog.agent.check_status check?. datadog.agent.check_status: Returns CRITICAL if an Agent check is unable to send metrics to Datadog, otherwise returns OK. s.

83. Where in DD can a client see on which hosts APM is running?. metric datadog.apm.host_instance or on one of those metrics datadog.trace_agent.*. s.

84. Where in DD can a client see on which hosts NPM is running?. metric datadog.system_probe.agent. s.