Software Engineering: Beyond the Buzzwords
Software engineering is full of terms everyone uses and few use precisely.
- Tekneeaght
- Sleih aasit
- Doillee
- Trome
- 10 feyshtyn
- mysh 5 min
- Fys-erash lurg dagh feysht
Noi y cheilley
Son paitchyn as sleih gammanagh
Jeeagh er ny feyshtyn
Gyn ny ansooryn kiart, myr shen nee ad foast cur yindys ort tra t'ou cloie.
Feysht 1
What does Brooks's law say about adding people to a late software project?
- It makes the project later still
- It speeds it up roughly in proportion
- It speeds it up only with microservices
- It mainly increases technical debt
Feysht 2
Under semantic versioning, which version change signals a breaking API change?
- 2.3.1 to 2.4.0
- 2.3.1 to 2.3.2
- 2.3.1 to 3.0.0
- 2.3.1 to 2.3.1-rc1
Feysht 3
Which HTTP method is defined as idempotent but not safe?
- GET
- POST
- PATCH
- PUT
Feysht 4
A test suite reaches 100% line coverage. What does that guarantee?
- Every line ran during the tests
- Every branch combination was tested
- The code contains no logic errors
- Every edge case has an assertion
Feysht 5
What best distinguishes continuous delivery from continuous deployment?
- Delivery skips automated testing
- In delivery, release to production is a manual decision
- Delivery requires fixed release plans
- Deployment needs no build pipeline
Feysht 6
What is the key difference between a mock and a stub in testing?
- A stub verifies calls; a mock returns data
- They are two names for one thing
- A mock is used only in integration tests
- A mock verifies the calls made to it
Feysht 7
An algorithm is O(n) and another O(n²). What can you conclude for n = 100?
- The O(n) one is always faster
- Nothing certain about which is faster
- The O(n²) one takes 100 times longer
- The O(n) one uses less memory
Feysht 8
According to the CAP theorem, what must a distributed system give up during a network partition?
- Partition tolerance or durability
- Any two of the three properties
- Either consistency or availability
- Latency guarantees under heavy load
Feysht 9
What happens to commit hashes when you rebase a branch onto a new base?
- They stay the same
- Only the newest commit changes
- They change only if conflicts occur
- The rebased commits get new hashes
Feysht 10
A single-core CPU runs two tasks by switching between them. This is an example of what?
- Concurrency without parallelism
- Parallelism without concurrency
- Both concurrency and parallelism
- Neither concurrency nor parallelism






