Measurement, Monitoring & Sharing
36 free practice questions with explanations
PassNova has 36 free DevOps Foundation practice questions on Measurement, Monitoring & Sharing, each with a clear explanation. Practise them in the browser with instant feedback — 100% free, no sign-up, on any device. Updated for 2026.
Measurement, Monitoring & Sharing: example questions & answers
Here are 6 example questions from this topic. Practise the full set of 36 free in the browser.
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The four key DORA metrics used to measure DevOps performance include which of the following sets?
- A CPU usage, memory usage, disk space, and network latency
- B Lines of code, number of meetings, bug count, server uptime
- C Deployment frequency, lead time for changes, change failure rate, and time to restore service ✓
- D Revenue, headcount, customer satisfaction, and marketing spend
Answer: The four DORA metrics are deployment frequency, lead time for changes, change failure rate, and mean time to restore service, which together measure both throughput and stability.
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What is the main difference between monitoring and observability?
- A Monitoring is manual while observability is impossible to automate
- B They are identical concepts with different names
- C Observability applies only to hardware, monitoring only to software
- D Monitoring tracks known, predefined conditions; observability helps understand unknown internal states from system outputs ✓
Answer: Monitoring watches predefined metrics and known failure conditions, whereas observability uses logs, metrics, and traces to help teams understand and diagnose unexpected or unknown system behaviour.
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In Site Reliability Engineering (SRE), what is an 'error budget'?
- A The acceptable amount of unreliability allowed before reliability work takes priority over new features ✓
- B A list of all known software defects
- C The number of engineers assigned to support
- D The financial budget allocated to fixing bugs
Answer: An error budget is the permissible level of unreliability derived from a service level objective; once it is exhausted, teams prioritise reliability work over releasing new features.
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What does Mean Time To Restore (MTTR) measure?
- A The average time between two consecutive deployments
- B The average time taken to recover service after a failure or incident ✓
- C The total number of incidents in a year
- D The average time a feature spends in development
Answer: Mean Time To Restore measures how quickly a service is recovered after an incident, and a low MTTR indicates strong resilience and effective incident response.
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Why is sharing knowledge through practices such as internal wikis, ChatOps, and post-incident reviews valued in DevOps?
- A It eliminates the need for any monitoring
- B It is only useful for external customers
- C It restricts information to a single expert team
- D It spreads learning, reduces single points of knowledge, and accelerates improvement across teams ✓
Answer: Sharing knowledge openly spreads learning, reduces dependence on individual experts, and helps the whole organisation improve faster, which is central to the Sharing pillar of CALMS.
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In SRE, what is a Service Level Indicator (SLI)?
- A The name given to a deployment pipeline stage
- B A quantitative measure of a specific aspect of service performance, such as latency or availability ✓
- C A contract penalty clause for downtime
- D A list of customers using the service
Answer: A Service Level Indicator is a carefully chosen quantitative measure of an aspect of service performance, such as request latency or availability, used to assess whether objectives are being met.