Bayesian inference is based on the principle of updating the ________ probability based on new data.
- joint
- marginal
- posterior
- prior
Bayesian inference works by updating the prior probability based on new data. This updated probability is known as the posterior probability.
What is the significance of the Last-Modified header in HTTP servlet responses?
- It controls the cache behavior for the servlet response.
- It indicates the last modification time of the servlet.
- It signals the client to request the servlet again.
- It specifies the expiration time of the servlet.
The Last-Modified header informs the client about the last modification time of the servlet, allowing the client to cache the response and avoid unnecessary requests if the content hasn't changed.
If a client application needs to request a large amount of data without affecting the server's state, which method should it use and why?
- DELETE, because it is a safe method for retrieving data.
- GET, because it is idempotent and does not modify the server's state.
- POST, because it supports larger data payloads than GET.
- PUT, because it is specifically designed for requesting large data sets.
The GET method is idempotent and does not modify the server's state, making it suitable for requesting large amounts of data without side effects. POST, although supporting larger payloads, is not intended for safe, idempotent operations.
When a servlet encounters an error during initialization, which method gets invoked next?
- destroy()
- doError()
- initError()
- service()
If a servlet encounters an error during initialization, the initError() method is invoked next to handle the initialization error.
In the context of Configuration Management, _____ ensures that any changes made are documented, approved, and reversible.
- Change Management
- Continuous Integration
- Quality Assurance
- Version Control
In the context of Configuration Management, Change Management ensures that any changes made to the system or software are documented, approved through a formal process, and reversible, minimizing the risk of adverse impacts.
In traditional SDLC, the ______ phase can be lengthy and rigid, which is a limitation addressed by Agile methodologies.
- Design
- Development
- Requirements
- Testing
In traditional SDLC, the requirements phase can be lengthy and rigid, often involving extensive planning and documentation. Agile methodologies address this limitation by promoting more flexibility and iterative development, allowing for changes in requirements.
What considerations are crucial when setting up a CI/CD pipeline for microservices architecture?
- A single large code repository.
- Independent deployment and scaling.
- Monolithic application design.
- Tight coupling between microservices.
Setting up a CI/CD pipeline for microservices requires considering their independence, allowing for separate deployment and scaling. It enables flexibility and faster development in a microservices architecture.
During a software deployment, a company wants to test the new features on a small percentage of its servers before rolling it out to everyone. Which deployment strategy aligns with this approach?
- Blue-Green Deployment
- Canary Deployment
- Parallel Deployment
- Rolling Deployment
Canary Deployment aligns with testing new features on a small percentage of servers before wider release. It involves releasing updates to a subset of users, allowing early feedback and minimizing the impact of potential issues.
_____ is a practice that involves collecting, analyzing, and visualizing data about a software application's performance and behavior.
- Code Review
- Debugging
- Documentation
- Performance Analysis
Performance analysis is the practice of collecting and analyzing data to understand and optimize a software application's performance and behavior.
What challenges might a team face when conducting performance testing on a large-scale distributed system?
- High-performance hardware
- Limited data volume
- Network latency
- Small user base
Conducting performance testing on a large-scale distributed system can be challenging due to network latency issues, as data transmission delays can affect system performance.