TECHNOLOGY-07 · Undergraduate · 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 | Web Applications and APIs
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Sign in to save this learning pathPractical outcome: Design a keyboard-accessible form with clear error states.
Explain semantic html using a visual and one worked real-world example. Context: Design a keyboard-accessible form with clear error states. End with a prediction or check-for-understanding.
Explain responsive layouts using a visual and one worked real-world example. Context: Design a keyboard-accessible form with clear error states. End with a prediction or check-for-understanding.
Explain component state using a visual and one worked real-world example. Context: Design a keyboard-accessible form with clear error states. End with a prediction or check-for-understanding.
Explain form validation using a visual and one worked real-world example. Context: Design a keyboard-accessible form with clear error states. End with a prediction or check-for-understanding.
Use the first concepts from this section. Design a keyboard-accessible form with clear error states. 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 accessibility testing using a visual and one worked real-world example. Context: Design a keyboard-accessible form with clear error states. End with a prediction or check-for-understanding.
Explain client routing using a visual and one worked real-world example. Context: Design a keyboard-accessible form with clear error states. End with a prediction or check-for-understanding.
Explain rendering strategies using a visual and one worked real-world example. Context: Design a keyboard-accessible form with clear error states. End with a prediction or check-for-understanding.
Explain frontend performance using a visual and one worked real-world example. Context: Design a keyboard-accessible form with clear error states. End with a prediction or check-for-understanding.
Design a keyboard-accessible form with clear error states. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Semantic HTML, Responsive layouts, Component state and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Specify a bounded library API with ownership checks.
Explain api resources using a visual and one worked real-world example. Context: Specify a bounded library API with ownership checks. End with a prediction or check-for-understanding.
Explain request validation using a visual and one worked real-world example. Context: Specify a bounded library API with ownership checks. End with a prediction or check-for-understanding.
Explain http status codes using a visual and one worked real-world example. Context: Specify a bounded library API with ownership checks. End with a prediction or check-for-understanding.
Explain authentication using a visual and one worked real-world example. Context: Specify a bounded library API with ownership checks. End with a prediction or check-for-understanding.
Use the first concepts from this section. Specify a bounded library API with ownership checks. 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 authorisation using a visual and one worked real-world example. Context: Specify a bounded library API with ownership checks. End with a prediction or check-for-understanding.
Explain sessions using a visual and one worked real-world example. Context: Specify a bounded library API with ownership checks. End with a prediction or check-for-understanding.
Explain pagination using a visual and one worked real-world example. Context: Specify a bounded library API with ownership checks. End with a prediction or check-for-understanding.
Explain idempotency using a visual and one worked real-world example. Context: Specify a bounded library API with ownership checks. End with a prediction or check-for-understanding.
Specify a bounded library API with ownership checks. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering API resources, Request validation, HTTP status codes and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Explain the life of a request through a deployed service.
Explain environment configuration using a visual and one worked real-world example. Context: Explain the life of a request through a deployed service. End with a prediction or check-for-understanding.
Explain database connections using a visual and one worked real-world example. Context: Explain the life of a request through a deployed service. End with a prediction or check-for-understanding.
Explain caching using a visual and one worked real-world example. Context: Explain the life of a request through a deployed service. End with a prediction or check-for-understanding.
Explain rate limits using a visual and one worked real-world example. Context: Explain the life of a request through a deployed service. End with a prediction or check-for-understanding.
Use the first concepts from this section. Explain the life of a request through a deployed service. 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 error handling using a visual and one worked real-world example. Context: Explain the life of a request through a deployed service. End with a prediction or check-for-understanding.
Explain integration testing using a visual and one worked real-world example. Context: Explain the life of a request through a deployed service. End with a prediction or check-for-understanding.
Explain deployment rollback using a visual and one worked real-world example. Context: Explain the life of a request through a deployed service. End with a prediction or check-for-understanding.
Explain operational monitoring using a visual and one worked real-world example. Context: Explain the life of a request through a deployed service. End with a prediction or check-for-understanding.
Explain the life of a request through a deployed service. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Environment configuration, Database connections, Caching and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Combine all three sections: Explain the life of a request through a deployed service. 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 Web Applications and APIs, 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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