[ DOT NET Programming MCQS ]
झारखंड में आयोजित होने वाली JPSC, JSSC, JET, झारखंड पुलिस भर्ती परीक्षा आदि के लिए उपयोगी सामान्य अध्ययन।
[ DOT NET Programming MCQS ]
Useful GK for JPSC, JSSC, JET, Jharkhand Police and other exams.
231. API throttling vs rate limiting में difference क्या है?
[A] Throttling controls speed, rate limits requests
[B] Both same
[C] Both database related
[D] UI related
231. Difference between throttling and rate limiting?
[A] Speed vs request limit
[B] Same
[C] DB related
[D] UI related
सही उत्तर: Throttling controls speed, rate limits requests
व्याख्या: Traffic control mechanisms हैं।
Correct Answer: Traffic control
Explanation: Controls API usage.
232. API idempotency का मतलब क्या है?
[A] Same request multiple times safe execution
[B] Random execution
[C] UI design
[D] Database delete
232. What is idempotency?
[A] Safe repeated requests
[B] Random execution
[C] UI design
[D] Delete DB
सही उत्तर: Same request multiple times safe execution
व्याख्या: Duplicate requests safe होते हैं।
Correct Answer: Safety in API calls
Explanation: Same result every time.
233. JWT stateless authentication क्यों होता है?
[A] Server session store नहीं करता
[B] Database store करता है
[C] UI dependent होता है
[D] File based होता है
233. Why JWT is stateless?
[A] No server session
[B] DB session
[C] UI dependent
[D] File based
सही उत्तर: Server session store नहीं करता
व्याख्या: Token self-contained होता है।
Correct Answer: Self-contained token
Explanation: No server memory needed.
234. CAP theorem में P का मतलब क्या है?
[A] Partition tolerance
[B] Performance
[C] Processing
[D] Protocol
234. What does P in CAP theorem mean?
[A] Partition tolerance
[B] Performance
[C] Processing
[D] Protocol
सही उत्तर: Partition tolerance
व्याख्या: Network failure tolerate करना।
Correct Answer: Network tolerance
Explanation: Handles network split.
235. CAP theorem में कौन से 3 properties होती हैं?
[A] Consistency, Availability, Partition tolerance
[B] Code, API, Process
[C] Cache, API, Page
[D] None
235. What are CAP properties?
[A] Consistency, Availability, Partition
[B] Code/API/Process
[C] Cache/API/Page
[D] None
सही उत्तर: Consistency, Availability, Partition tolerance
व्याख्या: Distributed system trade-offs हैं।
Correct Answer: CAP theorem
Explanation: Distributed system model.
236. Microservices में data consistency कैसे maintain होती है?
[A] Eventual consistency
[B] Immediate consistency
[C] UI sync
[D] File sync
236. How consistency maintained in microservices?
[A] Eventual consistency
[B] Immediate
[C] UI sync
[D] File sync
सही उत्तर: Eventual consistency
व्याख्या: Services independently update करते हैं।
Correct Answer: Eventual consistency
Explanation: Asynchronous updates.
237. Distributed caching का example क्या है?
[A] Redis
[B] SQL Server only
[C] HTML
[D] CSS
237. Example of distributed cache?
[A] Redis
[B] SQL Server
[C] HTML
[D] CSS
सही उत्तर: Redis
व्याख्या: Shared cache system होता है।
Correct Answer: Redis
Explanation: Shared memory cache.
238. ASP.NET Core में API security best practice क्या है?
[A] JWT + HTTPS + Rate limiting
[B] Only UI design
[C] Only database
[D] Only file upload
238. Best API security practice?
[A] JWT + HTTPS + Rate limiting
[B] UI only
[C] DB only
[D] File only
सही उत्तर: JWT + HTTPS + Rate limiting
व्याख्या: Secure API design होता है।
Correct Answer: Secure API
Explanation: Protects endpoints.
239. Observability में कौन-कौन से components होते हैं?
[A] Logs, Metrics, Traces
[B] UI, DB, File
[C] Code, CSS, HTML
[D] None
239. What are observability components?
[A] Logs, Metrics, Traces
[B] UI/DB/File
[C] Code/CSS/HTML
[D] None
सही उत्तर: Logs, Metrics, Traces
व्याख्या: System visibility provide करता है।
Correct Answer: System monitoring
Explanation: Full system visibility.
240. Cloud cost optimization कैसे किया जाता है?
[A] Auto scaling + resource optimization
[B] UI redesign
[C] File deletion
[D] Code removal
240. How to optimize cloud cost?
[A] Auto scaling
[B] UI redesign
[C] Delete files
[D] Remove code
सही उत्तर: Auto scaling + resource optimization
व्याख्या: Unused resources reduce करता है।
Correct Answer: Resource optimization
Explanation: Saves cloud cost.