- What is Datadog?
a) A software for monitoring and analytics
b) A software for managing databases
c) An email management software
Answer: a
- What are the key features of Datadog?
a) Monitoring, analytics, collaboration, and alerting
b) Database management, email campaign management, and networking
c) Project management, audio conferencing, and accounting
Answer: a
- What are the components of the Datadog platform?
a) Agent, API, and dashboard
b) Agent, DB, and network
c) Dashboard, collaboration, and analytics
Answer: a
- What is the use of the Datadog agent?
a) To collect metrics and events from hosts and send them to Datadog
b) To monitor email campaigns
c) To manage databases
Answer: a
- What is the difference between a metric and an event in Datadog?
a) Metrics are time-series numerical data, while events are discrete occurrences
b) Metrics are only related to network, while events are related to databases
c) Metrics and events are the same thing
Answer: a
- What is the difference between a monitor and an alert in Datadog?
a) A monitor is a measurement of a metric or combination of metrics, while an alert is a notification sent when a monitor triggers
b) A monitor is a visual representation of data, while an alert is a message sent to a group
c) A monitor and alert are the same thing
Answer: a
- What is the purpose of using tags in Datadog?
a) To group metrics and events
b) To manage databases
c) To send alerts to users
Answer: a
- How does Datadog handle data security?
a) By encrypting data in transit and rest, role-based access control, and two-factor authentication
b) By storing data on external servers
c) By limiting user access to data
Answer: a
- What is APM in Datadog?
a) Application Performance Monitoring
b) Audio Publishing Management
c) Accounting Process Management
Answer: a
- What is the purpose of APM in Datadog?
a) To monitor the performance of applications and troubleshoot performance issues
b) To manage email campaigns
c) To manage databases
Answer: a
- What are the different types of monitors in Datadog?
a) Metric and service-level monitors
b) Database and network monitors
c) Audio and video monitors
Answer: a
- What is the difference between Service Checks and Service-level monitors?
a) Service Checks monitor the availability and performance of a specific service, while Service-level monitors monitor the availability and performance of a group of related services
b) Service Checks and Service-level monitors are the same thing
c) Service-level monitors monitor the availability and performance of a specific service, while Service Checks monitor the availability and performance of a group of related services
Answer: a
- What are the different types of alerts in Datadog?
a) Threshold and anomaly alerts
b) Audio and video alerts
c) Database and network alerts
Answer: a
- What is the purpose of an anomaly alert?
a) To notify users of data that deviates from the typical pattern
b) To manage databases
c) To manage email campaigns
Answer: a
- What is the use of the Datadog CLI?
a) To interact with the Datadog API
b) To manage email campaigns
c) To manage databases
Answer: a
- How does Datadog handle agent rollbacks?
a) By enforcing agent version pinning and by providing rollback procedures
b) By deleting the agent completely
c) By recommending users to avoid agent rollbacks
Answer: a
- What is the use of dogstatsd in Datadog?
a) To accept custom metrics not covered by the Datadog agent
b) To manage email campaigns
c) To manage databases
Answer: a
- What is the purpose of the Datadog API?
a) To interact with the Datadog platform programmatically
b) To manage email campaigns
c) To manage databases
Answer: a
- How does Datadog handle integrations with third-party tools?
a) By providing over 450 integrations with popular tools
b) By providing no integration options
c) By providing limited integration options
Answer: a
- What is trace analytics in Datadog?
a) The analysis of traces captured across distributed systems
b) The analysis of audio and video files
c) The analysis of email campaigns
Answer: a
- What is the difference between a trace and a span in Datadog?
a) A trace is a collection of spans that represents a distributed request, while a span is a single operation within a trace
b) A trace and a span are the same thing
c) A trace is a visual representation of data, while a span is a message sent to a group
Answer: a
- What is another term for tracing in Datadog?
a) Distributed tracing
b) Network tracing
c) Audio tracing
Answer: a
- What is the purpose of tracing in Datadog?
a) To identify performance issues in distributed systems
b) To manage email campaigns
c) To manage databases
Answer: a
- What is the difference between a log and a trace in Datadog?
a) A log is a recording of discrete events, while a trace is a collection of spans that represents a distributed request
b) A log and a trace are the same thing
c) A log is a visual representation of data, while a trace is a message sent to a group
Answer: a
- What is logging in Datadog?
a) The aggregation and analysis of logs from distributed systems
b) The management of databases
c) The management of email campaigns
Answer: a
- What is the use of the Datadog log agent?
a) To collect logs from distributed systems and send them to Datadog
b) To manage email campaigns
c) To manage databases
Answer: a
- How does Datadog handle log analytics?
a) By providing advanced search and filter features
b) By providing no search and filter features
c) By providing limited search and filter features
Answer: a
- What is the purpose of distributed tracing in Datadog?
a) To enable a traced view of the entire distributed system
b) To manage email campaigns
c) To manage databases
Answer: a
- What is the difference between distributed tracing and logging in Datadog?
a) Distributed tracing captures every request as a trace and enables spanning multiple services, while logging records every event and provides textual insights
b) Distributed tracing and logging are the same thing
c) Distributed tracing records every event and provides textual insights, while logging captures every request as a trace and enables spanning multiple services
Answer: a
- What is the use of Datadog’s continuous profiler?
a) To identify performance bottlenecks in applications
b) To manage email campaigns
c) To manage databases
Answer: a
- What is the purpose of tracing in continuous profiling?
a) To trace method calls to identify performance bottlenecks and CPU usage
b) To manage emails
c) To manage databases
Answer: a
- What is the difference between metrics and profiling data in Datadog?
a) Metrics are time-series numerical data, while profiling data indicates the time spent in different portions of code
b) Metrics and profiling data are the same thing
c) Metrics indicate the time spent in different portions of code, while profiling data is time-series numerical data
Answer: a
- How does Datadog handle integration with AWS?
a) By providing over 70 AWS integrations
b) By not offering any AWS integration options
c) By providing limited AWS integration options
Answer: a
- What is the purpose of AWS CloudTrail in Datadog?
a) To provide complete visibility into API activity in AWS
b) To manage email campaigns
c) To manage databases
Answer: a
- What is the use of the Datadog Synthetics product?
a) To simulate user traffic to test application availability and usability
b) To manage email campaigns
c) To manage databases
Answer: a
- What is the purpose of network monitoring in Datadog?
a) To monitor the performance and availability of network devices
b) To manage email campaigns
c) To manage databases
Answer: a
- What is the use of the Datadog Incident Management product?
a) To manage and resolve incidents through an integrated workflow
b) To manage email campaigns
c) To manage databases
Answer: a
- What is the purpose of the Datadog Security Monitoring product?
a) To detect threats and vulnerabilities across systems and applications
b) To manage email campaigns
c) To manage databases
Answer: a
- How does Datadog handle integrations with Kubernetes?
a) By providing over 30 integrations with Kubernetes
b) By providing no integration options with Kubernetes
c) By providing limited integration options with Kubernetes
Answer: a
- What is the purpose of the Datadog Log Management product?
a) To aggregate and search logs from distributed systems
b) To manage email campaigns
c) To manage databases
Answer: a
- How does Datadog handle integrations with Docker?
a) By providing over 20 integrations with Docker
b) By providing no integration options with Docker
c) By providing limited integration options with Docker
Answer: a
- What is the purpose of the Datadog Real User Monitoring product?
a) To monitor the performance of applications from the user’s perspective
b) To manage email campaigns
c) To manage databases
Answer: a
- How does Datadog handle integrations with Datadog Browser?
a) By providing over 10 integrations with Datadog Browser
b) By providing no integration options with Datadog Browser
c) By providing limited integration options with Datadog Browser
Answer: a
- What is the purpose of the Datadog Network Performance Monitoring product?
a) To monitor the performance and availability of network devices
b) To manage email campaigns
c) To manage databases
Answer: a
- How does Datadog handle integrations with Terraform?
a) By providing a Terraform provider for infrastructure as code automation
b) By providing no integration options with Terraform
c) By providing limited integration options with Terraform
Answer: a
- What is the use of the Datadog API Explorer?
a) To navigate the Datadog API with ease
b) To manage email campaigns
c) To manage databases
Answer: a
- How does Datadog handle integrations with Jenkins?
a) By offering a Datadog Pipeline Plugin to integrate with Jenkins
b) By providing no integration options with Jenkins
c) By providing limited integration options with Jenkins
Answer: a
- What is the purpose of the Datadog Synthetic Monitoring product?
a) To simulate user traffic to test application availability and usability
b) To manage email campaigns
c) To manage databases
Answer: a
- How does Datadog handle integrations with MongoDB?
a) By providing over 10 integrations with MongoDB
b) By providing no integration options with MongoDB
c) By providing limited integration options with MongoDB
Answer: a
- What is the purpose of the Datadog Infra product?
a) To monitor the infrastructure supporting applications
b) To manage email campaigns
c) To manage databases
Answer: a
Sr. Software Engineer at Cotocus Private Limited
There is no end to education. It is not that you read a book, pass an examination, and finish with education. The whole of life, from the moment you are born to the moment you die, is a process of learning.
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