Find Interview Questions for Onit

Right Answer:
An API Gateway acts as a single entry point for clients to access multiple microservices, handling requests, routing them to the appropriate services, managing authentication, rate limiting, and aggregating responses.

Right Answer:
The different types of APIs are:

1. **Open APIs (Public APIs)** - Available to developers and third parties.
2. **Internal APIs (Private APIs)** - Used within an organization.
3. **Partner APIs** - Shared with specific business partners.
4. **Composite APIs** - Combine multiple endpoints into a single call.
5. **Web APIs** - Accessible over the internet using HTTP/HTTPS.

Right Answer:
GET is used to retrieve data from a server, POST is used to send data to a server to create a resource, PUT is used to update an existing resource on the server, and DELETE is used to remove a resource from the server.

Right Answer:
Webhooks are user-defined HTTP callbacks that are triggered by specific events in a web application, allowing real-time data transfer. They differ from APIs in that APIs require a request to be made to receive data, while webhooks automatically send data when an event occurs without needing a request.

Right Answer:
API testing is the process of verifying that an application programming interface (API) functions as expected, ensuring it meets the requirements for functionality, reliability, performance, and security. Tools that can be used for API testing include Postman, SoapUI, JMeter, RestAssured, and Swagger.

Right Answer:
Some common data analysis tools and software include:

1. Microsoft Excel
2. R
3. Python (with libraries like Pandas and NumPy)
4. SQL
5. Tableau
6. Power BI
7. SAS
8. SPSS
9. Google Analytics
10. Apache Spark

Right Answer:
The different types of data distributions include:

1. Normal Distribution
2. Binomial Distribution
3. Poisson Distribution
4. Uniform Distribution
5. Exponential Distribution
6. Log-Normal Distribution
7. Geometric Distribution
8. Beta Distribution
9. Chi-Squared Distribution
10. Student's t-Distribution

Right Answer:
Regression analysis is a statistical method used to examine the relationship between one dependent variable and one or more independent variables. It is used to predict outcomes, identify trends, and understand the strength of relationships in data.

Right Answer:
Data normalization is the process of organizing data in a database to reduce redundancy and improve data integrity. It involves structuring the data into tables and defining relationships between them. Normalization is important because it helps eliminate duplicate data, ensures data consistency, and makes it easier to maintain and update the database.

Right Answer:
To handle missing data in a dataset, you can use the following methods:

1. **Remove Rows/Columns**: Delete rows or columns with missing values if they are not significant.
2. **Imputation**: Fill in missing values using techniques like mean, median, mode, or more advanced methods like KNN or regression.
3. **Flagging**: Create a new column to indicate missing values for analysis.
4. **Predictive Modeling**: Use algorithms to predict and fill in missing values based on other data.
5. **Leave as Is**: In some cases, you may choose to leave missing values if they are meaningful for analysis.

Right Answer:
The features of eCRM (electronic Customer Relationship Management) include:

1. **Customer Data Management**: Centralized storage of customer information.
2. **Personalization**: Tailored marketing and communication based on customer preferences.
3. **Multichannel Support**: Integration across various platforms (email, social media, web).
4. **Automation**: Streamlined processes for sales, marketing, and customer service.
5. **Analytics and Reporting**: Tools for tracking customer behavior and campaign effectiveness.
6. **Customer Interaction Tracking**: Monitoring all interactions with customers.
7. **Lead Management**: Efficient tracking and nurturing of potential customers.
8. **Collaboration Tools**: Features that enable teamwork among departments.
9. **Self-Service Options**: Portals for customers to access information and support independently.
10. **Feedback and Survey Tools**: Mechanisms for gathering customer feedback and insights.

Right Answer:
Flex mode allows users to move and resize objects freely within a layout, while Confine mode restricts the movement of objects to specific boundaries or grid lines.

Right Answer:

The components of IT infrastructure that should be monitored include:

1. Servers
2. Network devices (routers, switches, firewalls)
3. Storage systems
4. Applications and services
5. Databases
6. Virtual machines and containers
7. Cloud resources
8. End-user devices (desktops, laptops, mobile devices)
9. Power and cooling systems
10. Security systems and logs

Right Answer:

Proactive monitoring involves actively checking systems and applications to identify and resolve potential issues before they affect performance, while reactive monitoring occurs after an issue has been detected, focusing on responding to and fixing problems as they arise.

Right Answer:

To monitor a Kubernetes cluster, you can use tools like Prometheus for metrics collection, Grafana for visualization, and Kubernetes Dashboard for a user-friendly interface. Additionally, consider using tools like ELK Stack (Elasticsearch, Logstash, Kibana) for logging and alerting systems like Alertmanager to notify on issues.

Right Answer:

The ELK stack consists of Elasticsearch, Logstash, and Kibana. It is used in infrastructure monitoring to collect, store, analyze, and visualize log data from various sources. Elasticsearch indexes the data, Logstash processes and ingests it, and Kibana provides a user-friendly interface for visualizing and querying the data, helping to identify issues and monitor system performance.

Right Answer:

IT infrastructure monitoring is the process of continuously observing and managing the hardware, software, networks, and services that make up an organization's IT environment. It is important because it helps ensure system performance, identifies issues before they escalate, minimizes downtime, enhances security, and supports efficient resource management.