Q61. Explain caching strategies and common failure modes.
Strategies: - Cache-aside (lazy loading): app checks cache, on miss reads DB and populates. Most common. - Read-through: cache library fetches on miss. - Write-through: w...
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Q62. Reverse a linked list iteratively and recursively.
Iterative (O(n) time, O(1) space): ```python def reverse(head): prev = None while head: nxt = head.next head.next = prev prev = head head = nxt return prev ``` Recursive ...
Q63. Explain equals and hashCode contract.
Rules: - If a.equals(b) is true then a.hashCode() == b.hashCode() must be true. - If two objects are unequal, their hash codes may still collide (allowed). - equals must ...
Q64. Explain PHP session handling and common security concerns.
Sessions persist state across stateless HTTP requests. session_start() creates or resumes a session identified by a cookie (PHPSESSID) and stores data server-side. Securi...
Q65. How do you manage a disruptive classroom?
Prevention does most of the work. Clear routines, an engaging task and a well planned start reduce disruption before it begins. I establish expectations early and rehears...
Q66. How do you prioritise multiple tickets when everything looks urgent?
I prioritise by impact and urgency, not by who shouted loudest. First I apply the service level agreement: anything breaching a contracted response or resolution time, or...
Q67. Walk me through how you would plan an email nurture campaign.
I start with the goal and the audience. A nurture campaign exists to move a defined segment from one belief or behaviour to the next, not to send email for its own sake. ...
Q68. What is the difference between a lead, a prospect and an opportunity?
These are stages of qualification, not different kinds of people. A lead is an unqualified contact who has shown some interest, perhaps by downloading a guide or attendin...
Q69. Describe how DNS resolution works.
DNS maps names to records, most importantly A and AAAA addresses, plus CNAME, MX, TXT and NS. A lookup can walk several servers, but caching means most lookups stop early...
Q70. What is overfitting and how do you prevent it?
Overfitting is when a model learns noise and idiosyncrasies of the training set instead of the underlying pattern. It performs well on training data but poorly on new dat...