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Pregunta 1

What is the purpose of aggregating events?

To create monitors
To combine similar events together
To define SLOs
To store event data

Pregunta 2

What environment variable extracts Docker container labels as tags?

DD_TAG_IMPORTER
DD_CONTAINER_TAGS
DD_DOCKER_LABELS_AS_TAGS
DD_DOCKER_TAG_EXTRACTOR

Pregunta 3

What happens to metric data values during the flush time interval?

They are collected by Datadog and processed based on metric type
They are sent to a backup data store
They are deleted
They are encrypted

Pregunta 4

What can full-text search of events be used for?

Finding events containing specific keywords
Calculating aggregates
Creating monitors
Defining metrics

Pregunta 5

Which default integration monitors system CPU metrics?

Directory
Network
System
Process

Pregunta 6

What best practice is used to partition large volumes of metric data?

Modifying the agent configuration
Adding custom tags from integrations
Upgrading to enterprise support
Deleting old metrics

Pregunta 7

How can events be classified in Datadog?

By type, host, value
By source, priority, severity/status
By ID, name
By timestamp, interval, unit

Pregunta 8

What common use cases are there for posting custom events?

Deployments, outages, maintenance notifications
Monitoring configuration
User management
Account settings

Pregunta 9

Where are tags configured globally for all metrics and resources?

On the integrations page
On each monitor
On each dashboard
In the datadog.yml file

Pregunta 10

What attributes define an event posted via the API?

alert_type, priority, source_type_name, tags, text, title
role, organization, timestamp
date_happened, status, notification, alert, channel
event_id, account_id, user, app_key

Pregunta 11

What are metrics used to measure in Datadog?

Configuration changes
User logs over time
The number of hosts reporting
The health and state of software systems and infrastructure

Pregunta 12

Why is appropriate tagging important for metrics?

It allows easy filtering and aggregation with large volumes of time series data
It reduces costs
It speeds up dashboard load times
It improves security

Pregunta 13

Which metric type reports the latest data value during the flush interval?

Sum
Rate
Count
Gauge

Pregunta 14

Where can clues to issues be found during incidents?

Metrics
Tickets
Event stream
Logging

Pregunta 15

How can you monitor metrics for a specific host over a specific time period?

Change the account permissions
Delete old metrics
Use the host tag and specify a time range
Modify the agent configuration

Pregunta 16

What does Datadog use to identify different parts of a query?

Alerts, notifications, thresholds
Metrics, events, logs
Scope, grouping, time aggregation/rollup
Tags, sources, windows

Pregunta 17

What is the purpose of metric units in Datadog?

To standardize measurements for comparison across systems
To set data types
To store metadata
To define time series

Pregunta 18

What can you use tags to filter and search?

None of the above
Notebooks, monitors, users
Tickets, integrations, checks
Metrics, events, dashboards, infrastructure

Pregunta 19

What can custom events communicate?

Traces
Metrics
Information to monitoring teams
Logs

Pregunta 20

Where can you view details of metrics like unit, type, source, descriptions?

Dashboards
Events
Metrics summary page
Monitors

Pregunta 21

What allows analysis of historical metric data based on filters and time range?

Metric explorer
Datadog agent
Flush interval
Query

Pregunta 22

What are some examples of common metric types?

CPU usage, memory usage, request counts, error rates
Alerts, events, monitors
Tags, dashboards, annotations
Queries, graphs, visualizations

Pregunta 23

How can custom metrics be submitted to Datadog?

Agent checks, API, DogStatsD
Tickets, dashboards, annotations
Webhooks, slack alerts, email
By upgrading to the Enterprise plan

Pregunta 24

Which API endpoint is used to post custom events?

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