Master the language of edge computing: edge nodes, fog computing, CDN edge functions, and latency distribution.
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In edge computing, 'edge node' refers to:
An edge node is infrastructure deployed at or near the source of data (device, factory, cell tower) rather than in a centralised cloud.
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What distinguishes 'fog computing' from traditional edge computing?
Fog computing introduces a mid-tier layer between IoT devices and the central cloud, enabling local aggregation and processing before cloud upload.
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A CDN edge function runs:
CDN edge functions (like Cloudflare Workers) execute at CDN points of presence globally, minimising latency by running compute near the user.
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Which term describes the maximum acceptable delay for a real-time system?
A latency budget is the maximum end-to-end delay a system can tolerate while still meeting its real-time or user experience requirements.
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'Offline-first' architecture for edge devices means:
Offline-first design treats disconnected operation as the default, ensuring devices function fully and sync data when connectivity returns.
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PR Description
During code review, Sarah flagged this PR that implements a new anomaly detection model on IoT sensor data. She commented: 'The latency requirements are critical here – we need to minimize the delay between data ingestion and prediction at the edge. Ideally, we should aim for
under 50ms.' Which of the following best describes Sarah's concern regarding this implementation?
PR Description
This question focuses on a realistic scenario – a code review comment. Sarah's concern isn't about accuracy or bandwidth; it directly addresses *latency*, which is a core challenge in edge computing. The incorrect options represent different problems (model performance, network issues, infrastructure incompatibility), while the correct answer highlights the importance of meeting latency requirements at the edge, a key consideration when designing applications that need near-real-time responses.
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PR Description
During code review, Sarah flagged this PR that implements a new anomaly detection model on IoT sensor data. She commented: 'The latency requirements are critical here – we need to minimize the delay between data ingestion and prediction at the edge. Ideally, we should aim for
under 50ms.' Which of the following best describes Sarah's concern regarding this implementation?
PR Description
This question focuses on a realistic scenario – a code review comment. Sarah's concern isn't about accuracy or bandwidth; it directly addresses *latency*, which is a core challenge in edge computing. The incorrect options represent different problems (model performance, network issues, infrastructure incompatibility), while the correct answer highlights the importance of meeting latency requirements at the edge, a key consideration when designing applications that need near-real-time responses.
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PR Description
During code review, Sarah flagged this PR that implements a new anomaly detection model on IoT sensor data. She commented: 'The latency requirements are critical here – we need to minimize the delay between data ingestion and prediction at the edge. Ideally, we should aim for
under 50ms.' Which of the following best describes Sarah's concern regarding this implementation?
PR Description
This question focuses on a realistic scenario – a code review comment. Sarah's concern isn't about accuracy or bandwidth; it directly addresses *latency*, which is a core challenge in edge computing. The incorrect options represent different problems (model performance, network issues, infrastructure incompatibility), while the correct answer highlights the importance of meeting latency requirements at the edge, a key consideration when designing applications that need near-real-time responses.
9 / 14
PR Description
During code review, Sarah flagged this PR that implements a new anomaly detection model on IoT sensor data. She commented: 'The latency requirements are critical here – we need to minimize the delay between data ingestion and prediction at the edge. Ideally, we should aim for
under 50ms.' Which of the following best describes Sarah's concern regarding this implementation?
PR Description
This question focuses on a realistic scenario – a code review comment. Sarah's concern isn't about accuracy or bandwidth; it directly addresses *latency*, which is a core challenge in edge computing. The incorrect options represent different problems (model performance, network issues, infrastructure incompatibility), while the correct answer highlights the importance of meeting latency requirements at the edge, a key consideration when designing applications that need near-real-time responses.
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During a standup meeting, Mark discussed deploying a new predictive maintenance system to edge devices monitoring factory equipment. He mentioned needing to 'reduce roundtrip latency' for immediate alerts. Which of the following best describes what Mark is referring to in this context? latency
Mark's focus on 'roundtrip latency' directly relates to edge computing's core principle: minimizing delays. Edge computing emphasizes processing data *locally* at the device or nearby node to reduce the need for constant communication with a central cloud server. Therefore, reducing roundtrip latency is vital for real-time decision-making in scenarios like predictive maintenance.
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You are reviewing an API response from an edge device monitoring traffic flow. The response includes a 'delay' metric of 20ms. In the context of edge computing, what does this delay primarily represent? delay
This delay metric is specifically referring to *latency*, a key concern in edge computing. Edge devices often operate in environments where minimizing latency is crucial for real-time applications – think autonomous vehicles or industrial control systems. It's the time it takes for data to travel, not the server's processing time.
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A Slack message from your team lead reads: 'Let's prioritize reducing jitter on our IoT gateway nodes. We need to ensure stable data transmission for the real-time analytics dashboard.' What is 'jitter' most closely related to in edge computing? jitter
Jitter refers to fluctuations or variations in latency. Consistent and predictable latency is essential for many edge computing applications like real-time analytics dashboards, where even small delays can cause data inaccuracies and unreliable results. Minimizing jitter ensures a more stable and reliable stream of data.
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During code review, you see the following comment on a new feature for an autonomous drone: 'We need to ensure this system can operate effectively even when experiencing intermittent network connectivity.' Which concept is the reviewer most concerned about in relation to edge computing? offline-first
This comment highlights the importance of 'offline-first' architecture in edge computing. Edge devices are frequently deployed in environments with unreliable or intermittent network connectivity. An offline-first system is designed to operate independently and continue processing data locally until a connection is reestablished.
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You're designing an edge application for smart city traffic management. The system needs to react instantly to changing traffic conditions. What's the most critical metric you should focus on minimizing? maximum acceptable delay
In scenarios demanding immediate responses (like smart city traffic management), minimizing 'maximum acceptable delay' is paramount. This directly impacts the system's responsiveness and ability to prevent accidents or congestion. A longer delay could lead to a cascade of negative consequences.
What does the "Edge Computing Vocabulary" exercise cover?
Master the language of edge computing: edge nodes, fog computing, CDN edge functions, and latency distribution.
Is this exercise free to use?
Yes. Every exercise on CoderSlingo, including this one, is free to use with no account, sign-up, or paywall.
How many questions are in "Edge Computing Vocabulary"?
This exercise has 14 questions. Each one gives instant feedback with an explanation, so you can see exactly why an answer is right or wrong.
Do I need to create an account to save my progress?
No account is required. The progress bar and score are tracked in your browser for the current session -- the exercise is designed to be a quick, repeatable drill rather than something you resume later.
What happens if I get an answer wrong?
You'll see the correct answer highlighted immediately, along with a short explanation of why it's correct. Wrong answers aren't penalized beyond your score, and you can keep going through every question.
How is this exercise different from reading an article?
Articles explain vocabulary and concepts through prose, while exercises like this one are interactive drills -- multiple-choice questions -- that test and reinforce your recall of specific terms and phrasing.
Can I retry this exercise?
Yes -- use the "Try again" button on the results screen to reset your score and go through all the questions again from the start.
Where can I find more Edge Iot exercises?
Browse the full Edge Iot hub for related drills, or check the site-wide exercises index for other IT English topics.
Is this exercise suitable for beginners?
This exercise assumes basic familiarity with IT terminology. If a term feels unfamiliar, check the site Glossary for a plain-English definition before attempting the questions.
How often is new content like this published?
New exercises are added regularly across all categories, alongside new vocabulary sets and articles. Check back on the exercises hub to see what's new.