TECHNOLOGY-08 · Advanced · ENGLISH · PLANNED
Follow a real task through a system, then design and troubleshoot it.
Study time is an initial activity estimate, excluding extra reading, revision and extended laboratory or project work. Videos and question bodies have not been produced by adding this outline.
Complete these courses or demonstrate equivalent knowledge. These are recommended prerequisites, not enforced enrolment locks.
YouTube playlist: ARK Technology | Cloud, Distributed Systems and DevOps
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Sign in to save this learning pathPractical outcome: Compare hosting options for a small app using a USD cost model.
Explain virtual machines using a visual and one worked real-world example. Context: Compare hosting options for a small app using a USD cost model. End with a prediction or check-for-understanding.
Explain containers using a visual and one worked real-world example. Context: Compare hosting options for a small app using a USD cost model. End with a prediction or check-for-understanding.
Explain images using a visual and one worked real-world example. Context: Compare hosting options for a small app using a USD cost model. End with a prediction or check-for-understanding.
Explain container isolation using a visual and one worked real-world example. Context: Compare hosting options for a small app using a USD cost model. End with a prediction or check-for-understanding.
Use the first concepts from this section. Compare hosting options for a small app using a USD cost model. Produce a labelled diagram, trace or calculation; explain each step and check one changed input.
3–6 questions on the preceding first-half concepts only: recall, visual interpretation, application and one plausible misconception. Explain each answer after submission.
Explain infrastructure as code using a visual and one worked real-world example. Context: Compare hosting options for a small app using a USD cost model. End with a prediction or check-for-understanding.
Explain load balancers using a visual and one worked real-world example. Context: Compare hosting options for a small app using a USD cost model. End with a prediction or check-for-understanding.
Explain object storage using a visual and one worked real-world example. Context: Compare hosting options for a small app using a USD cost model. End with a prediction or check-for-understanding.
Explain cost budgets using a visual and one worked real-world example. Context: Compare hosting options for a small app using a USD cost model. End with a prediction or check-for-understanding.
Compare hosting options for a small app using a USD cost model. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Virtual machines, Containers, Images and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Model a duplicated request and choose a recovery strategy.
Explain partial failure using a visual and one worked real-world example. Context: Model a duplicated request and choose a recovery strategy. End with a prediction or check-for-understanding.
Explain timeouts using a visual and one worked real-world example. Context: Model a duplicated request and choose a recovery strategy. End with a prediction or check-for-understanding.
Explain retries using a visual and one worked real-world example. Context: Model a duplicated request and choose a recovery strategy. End with a prediction or check-for-understanding.
Explain idempotent consumers using a visual and one worked real-world example. Context: Model a duplicated request and choose a recovery strategy. End with a prediction or check-for-understanding.
Use the first concepts from this section. Model a duplicated request and choose a recovery strategy. Produce a labelled diagram, trace or calculation; explain each step and check one changed input.
3–6 questions on the preceding first-half concepts only: recall, visual interpretation, application and one plausible misconception. Explain each answer after submission.
Explain message queues using a visual and one worked real-world example. Context: Model a duplicated request and choose a recovery strategy. End with a prediction or check-for-understanding.
Explain eventual consistency using a visual and one worked real-world example. Context: Model a duplicated request and choose a recovery strategy. End with a prediction or check-for-understanding.
Explain consensus concept using a visual and one worked real-world example. Context: Model a duplicated request and choose a recovery strategy. End with a prediction or check-for-understanding.
Explain distributed transactions using a visual and one worked real-world example. Context: Model a duplicated request and choose a recovery strategy. End with a prediction or check-for-understanding.
Model a duplicated request and choose a recovery strategy. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Partial failure, Timeouts, Retries and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Write a recovery drill for a simulated service outage.
Explain deployment pipelines using a visual and one worked real-world example. Context: Write a recovery drill for a simulated service outage. End with a prediction or check-for-understanding.
Explain secrets management using a visual and one worked real-world example. Context: Write a recovery drill for a simulated service outage. End with a prediction or check-for-understanding.
Explain service-level objectives using a visual and one worked real-world example. Context: Write a recovery drill for a simulated service outage. End with a prediction or check-for-understanding.
Explain autoscaling using a visual and one worked real-world example. Context: Write a recovery drill for a simulated service outage. End with a prediction or check-for-understanding.
Use the first concepts from this section. Write a recovery drill for a simulated service outage. Produce a labelled diagram, trace or calculation; explain each step and check one changed input.
3–6 questions on the preceding first-half concepts only: recall, visual interpretation, application and one plausible misconception. Explain each answer after submission.
Explain capacity planning using a visual and one worked real-world example. Context: Write a recovery drill for a simulated service outage. End with a prediction or check-for-understanding.
Explain disaster recovery using a visual and one worked real-world example. Context: Write a recovery drill for a simulated service outage. End with a prediction or check-for-understanding.
Explain observability using a visual and one worked real-world example. Context: Write a recovery drill for a simulated service outage. End with a prediction or check-for-understanding.
Explain supply-chain controls using a visual and one worked real-world example. Context: Write a recovery drill for a simulated service outage. End with a prediction or check-for-understanding.
Write a recovery drill for a simulated service outage. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Deployment pipelines, Secrets management, Service-level objectives and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Combine all three sections: Write a recovery drill for a simulated service outage. Submit an original worked artifact, evidence or tests, assumptions and a reflection. Rubric: correctness, method, practical usefulness, reproducibility and communication. Self-reviewed, not certified.
6–12 balanced questions sampling every section of Cloud, Distributed Systems and DevOps, including interpretation, calculation or reasoning, a misconception and a new application. Passing is 70%; review errors before retrying.
System diagrams, design reviews and bounded prototypes. Guided work leads to an independent attempt, with a diagram, explanation, trace, calculation or tested artifact. Question bodies are generated when opened in your private learning path. Programming submissions are stored as text; the platform does not execute submitted code.
Use original or appropriately licensed datasets. Practical science activities use models or supplied data unless a qualified supervisor has reviewed a physical experiment.
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