Most Frequently asked api Interview Questions

author image Hirely
at 03 Jan, 2025
  • Technology
  • Questions

    • Question: How do you secure an API?

    Answer:

    Securing an API is critical to protect sensitive data, prevent unauthorized access, and ensure that the API behaves as expected. A well-secured API guards against common vulnerabilities and ensures that only authorized users or systems can access or modify resources. Below are the best practices and techniques for securing an API:

    1. Use HTTPS (SSL/TLS)

    • Why: HTTPS ensures that all data transmitted between the client and server is encrypted. This protects sensitive data (e.g., passwords, credit card information) from being intercepted by attackers during transmission.
    • How: Use SSL/TLS certificates to encrypt the communication channel. This ensures the integrity and privacy of the data in transit.

    Example:

    https://api.example.com/resource

    2. Authentication (Proving Identity)

    Authentication ensures that only legitimate users or systems can access the API.

    • API Keys: Simple method for identifying a client application by sending a unique key with each request. Not suitable for high-security needs but works for public or less sensitive APIs.

      • Example: Authorization: ApiKey YOUR_API_KEY

    • OAuth 2.0: A token-based authentication method that is commonly used for third-party access. OAuth allows limited access to a user’s resources without exposing credentials.

      • Access Token: The client receives an access token after authenticating through OAuth and sends the token with each request.
      • Example: Authorization: Bearer ACCESS_TOKEN

    • JWT (JSON Web Tokens): A compact, URL-safe token format often used in modern API authentication. JWTs carry encrypted user claims (such as user identity and permissions) and can be used for both authentication and authorization.

      • Example: Authorization: Bearer JWT_TOKEN

    • Basic Authentication: Transmits the username and password in the HTTP header, though it’s less secure since credentials are passed in plaintext (unless HTTPS is used).

      • Example: Authorization: Basic base64_encode(username:password)

    3. Authorization (Permissions and Roles)

    Once authenticated, authorization determines which actions a user or system is allowed to perform.

    • Role-Based Access Control (RBAC): Control access based on user roles. For instance, users with an “admin” role can access all resources, while “guest” roles may have limited access.
    • Attribute-Based Access Control (ABAC): More flexible than RBAC, where access is granted based on attributes (e.g., time of day, location, etc.) rather than roles alone.

    Ensure that sensitive endpoints (e.g., /admin, /settings) require appropriate authorization and that users cannot perform actions outside of their permissions.

    4. Rate Limiting and Throttling

    • Rate Limiting: Limits the number of API requests a client can make in a given time frame. This helps prevent abuse, protects server resources, and defends against brute-force attacks.

    • Throttling: Limits the speed or frequency at which clients can make API calls. It helps prevent denial-of-service (DoS) attacks and ensures fair use of resources.

    Example:

    • Allow up to 1000 requests per hour per IP address.

    Rate limiting can be implemented using HTTP headers like X-Rate-Limit and Retry-After.

    5. Input Validation and Sanitization

    • Why: Never trust user input. Attackers can exploit vulnerabilities like SQL injection, cross-site scripting (XSS), and remote code execution through unsanitized inputs.

    • How: Validate and sanitize all inputs from users or external sources. Ensure input meets the expected format (e.g., numbers, dates, etc.) and reject unexpected or malformed data.

    Example:

    • Use parameterized queries to prevent SQL injection.
    • Sanitize HTML or JavaScript inputs to prevent XSS.

    6. Implement CORS (Cross-Origin Resource Sharing)

    CORS is a security feature implemented by browsers to allow or block requests from domains other than the one that served the original content. This is important when your API is intended to be accessed from a web application running on a different domain.

    • Why: It prevents unauthorized domains from accessing your API.
    • How: Configure the API to specify which domains (origins) are allowed to access your resources by including the appropriate CORS headers in the response.

    Example:

    Access-Control-Allow-Origin: https://trusted-website.com

    7. Secure API Endpoints

    Some API endpoints are more sensitive than others (e.g., those handling financial transactions or user credentials). You should secure these endpoints by:

    • Enforcing Authentication: Ensure that sensitive endpoints require users to be authenticated (e.g., via OAuth, JWT, or API keys).
    • Enforcing Authorization: Make sure that only users with the appropriate permissions can access sensitive data or perform critical actions.
    • Limiting Data Exposure: Avoid exposing unnecessary or sensitive data in responses. For example, do not expose passwords, internal system details, or too much information in error messages.

    8. Implement Logging and Monitoring

    • Logging: Record access logs, including user actions, IP addresses, and the endpoints accessed. This helps in tracking unauthorized access attempts or suspicious activities.
    • Monitoring: Use tools to monitor the health and usage of your API, including metrics on failed logins, usage spikes, or errors. Alerts can help identify potential threats or security breaches.

    9. Use Security Headers

    Leverage HTTP security headers to protect your API from common vulnerabilities.

    • Strict-Transport-Security (HSTS): Forces clients to use HTTPS, even if they try to make HTTP requests.

      Strict-Transport-Security: max-age=31536000; includeSubDomains

    • Content-Security-Policy (CSP): Protects against XSS by restricting the sources from which content (scripts, styles, etc.) can be loaded.

      Content-Security-Policy: default-src 'self'

    • X-Content-Type-Options: Prevents browsers from interpreting files as a different MIME type.

      X-Content-Type-Options: nosniff

    10. Prevent Cross-Site Request Forgery (CSRF)

    CSRF attacks occur when a malicious actor tricks a user into performing an unwanted action on an API where they are already authenticated.

    • How to Prevent:
      • Use tokens (CSRF tokens) to verify the legitimacy of requests.
      • Ensure that requests modifying data (POST, PUT, DELETE) are sent with a valid CSRF token in the request body or header.

    11. Use API Gateway and Firewall

    • API Gateway: Use an API gateway to manage traffic, enforce security policies, and centralize authentication/authorization.
    • Web Application Firewall (WAF): Deploy a WAF to protect your API from common threats such as SQL injection, XSS, and DoS attacks.

    12. Regularly Update and Patch

    • Why: Keep your server, application, and dependencies up to date to prevent known vulnerabilities from being exploited by attackers.
    • How: Regularly apply security patches to your operating system, libraries, and frameworks. Use automated tools to monitor vulnerabilities in your dependencies.

    13. Implement Content Encryption

    • Encryption at Rest: Encrypt sensitive data stored in your database or file system to ensure that even if an attacker gains access to the data, they cannot read it.
    • Encryption in Transit: As mentioned, use HTTPS to ensure that data is encrypted during transmission.

    14. Avoid Exposing Sensitive Data in Responses

    • Do not expose sensitive information such as passwords, personal data, or error details in API responses. If an error occurs, provide a generic error message that doesn’t expose internal system details.

    15. Ensure Scalability and DDoS Protection

    • Distributed Denial of Service (DDoS): Use strategies to protect against DDoS attacks, such as rate limiting, traffic filtering, or third-party DDoS protection services (e.g., Cloudflare).

    Conclusion:

    Securing an API requires a multi-layered approach that includes authentication, authorization, encryption, rate limiting, input validation, and proper configuration. By following these best practices, you can mitigate common security risks, safeguard sensitive data, and ensure the integrity and availability of your API.

    Question: Explain the concept of API versioning and why it’s important.

    Answer:

    API versioning refers to the practice of managing changes and updates to an API in a way that ensures backward compatibility for existing users while allowing for new features and improvements in newer versions. It allows developers to maintain multiple versions of an API simultaneously and ensures that clients consuming the API can continue using older versions if necessary.

    API versioning is crucial in modern software development, especially in environments where APIs are widely used and evolve over time. As APIs grow and change, it’s essential to provide a smooth transition for users who rely on older versions while enabling the introduction of new features, bug fixes, and optimizations.

    Why is API Versioning Important?

    1. Backward Compatibility:

      • One of the primary reasons for API versioning is to ensure that changes to the API do not break existing client applications. Clients that rely on a particular version of an API expect that version to remain stable. Without versioning, any change could result in breaking existing integrations, causing significant issues for users or clients consuming the API.

    2. Managing Changes:

      • As an API evolves, there are often new features added, old features deprecated, or bugs fixed. API versioning helps manage these changes systematically by clearly distinguishing between the old and new API versions, giving developers a structured way to handle breaking changes (e.g., field removals, changed endpoints).

    3. Clear Communication:

      • API versioning provides clear communication to consumers about which version of the API they are using and whether they need to upgrade or adjust their code to accommodate new changes. This helps users plan their API consumption without unexpected disruptions.

    4. Long-term Maintenance:

      • Over time, APIs often go through major changes or improvements. Versioning allows for long-term maintenance without losing support for older versions that users may still depend on. Organizations can deprecate older versions in a controlled manner, giving users time to migrate to newer versions.

    5. Controlled Deprecation:

      • Through versioning, developers can introduce new features in a new version while deprecating or phasing out older features in previous versions. Deprecation can be communicated to users, and they can be given a timeline to migrate to a more current version, preventing sudden disruptions.

    6. Facilitates Continuous Delivery:

      • With versioning in place, teams can continuously deploy new versions of an API, adding enhancements and fixes without the fear of breaking older applications that rely on previous versions.

    7. Consistency in the User Experience:

      • API versioning provides consistency for clients and applications using the API. Even if the API evolves over time, users can rely on the version they’re working with, and changes to newer versions won’t disrupt their current workflows.

    Common API Versioning Strategies

    There are several ways to implement API versioning, each offering different trade-offs in terms of flexibility, readability, and ease of use:

    1. URI Path Versioning:

      • This is the most common method, where the version is included in the URL path.

      • Example:

        /api/v1/products
/api/v2/products

      • Pros: Easy to understand and use, clearly communicates the version to both developers and consumers.

      • Cons: Can lead to cluttered URLs if versions are frequently updated.

    2. Query String Versioning:

      • The version is specified as a query parameter in the API URL.

      • Example:

        /api/products?version=1
/api/products?version=2

      • Pros: Flexible and can be implemented easily.

      • Cons: Less intuitive for users, and may make the URL harder to read and manage.

    3. Header Versioning:

      • The version is specified in the HTTP header rather than the URL or query parameters. This approach is less visible but can be used to separate concerns.

      • Example:

        GET /api/products
Accept: application/vnd.myapi.v1+json

      • Pros: Keeps the URL clean, especially useful when you want to avoid cluttering the endpoint.

      • Cons: More complex to implement and can be difficult for developers to test manually.

    4. Accept Header Versioning:

      • A variant of header versioning, this uses the Accept header to specify the version of the API.

      • Example:

        Accept: application/vnd.myapi.v1+json

      • Pros: The version is part of the header, which is less visible but can still be standardized.

      • Cons: Requires clients to be aware of versioning when making requests.

    5. Custom Media Type Versioning:

      • Similar to Accept Header Versioning, but more explicit about the version in the media type.

      • Example:

        Accept: application/vnd.myapi.v1+json

      • Pros: Explicitly ties versioning to content type, making it clear for clients.

      • Cons: May require additional infrastructure or content negotiation.

    Best Practices for API Versioning

    1. Versioning Early:

      • It’s better to version an API early on rather than waiting until changes break clients. It’s easier to plan for versioning in the beginning rather than scrambling to fix issues later.

    2. Avoid Breaking Changes:

      • Ensure backward compatibility wherever possible. If a breaking change is required, increment the version number and clearly communicate the breaking change in the release notes.

    3. Deprecate Gradually:

      • When introducing new versions, avoid removing support for old versions too quickly. Offer a clear deprecation strategy that gives users time to migrate to the newer version.

    4. Semantic Versioning:

      • Use semantic versioning principles where possible. For example, increment the major version for breaking changes, the minor version for backward-compatible changes, and the patch version for bug fixes.

    5. Document Versions Clearly:

      • Always maintain detailed documentation for each version of the API. Developers should know what has changed between versions, what features are deprecated, and how to migrate to a new version.

    6. Avoid Excessive Versioning:

      • While versioning is essential, avoid creating too many versions unless necessary. Maintain a clean versioning structure to avoid confusion among clients.

    7. API Gateway:

      • Use an API Gateway to manage multiple versions efficiently. The gateway can route requests to the appropriate version, abstracting the complexity for users.

    Conclusion

    API versioning is an essential practice for managing the evolution of an API while ensuring a seamless experience for users. It helps maintain backward compatibility, communicate changes effectively, and control the deprecation of older features. Whether through URI path versioning, query strings, or headers, versioning gives developers the flexibility to continue adding new features and improvements without breaking existing clients. Properly implemented API versioning ensures a smooth API lifecycle, reduces the risk of disruptions, and provides clarity for both developers and consumers.

    Question: What is API documentation and why is it important for developers?

    Answer:

    API documentation is a comprehensive guide that explains how an API works, its functionality, how to interact with it, and how developers can use it to integrate with their applications. It typically includes detailed descriptions of the API’s endpoints, request and response formats, parameters, authentication methods, error codes, and usage examples. API documentation serves as a reference for developers who need to understand how to use the API effectively and troubleshoot any issues that arise.

    Why is API Documentation Important for Developers?

    1. Clear Understanding of API Functionality:

      • API documentation provides developers with the necessary information to understand what the API does, what resources it exposes, and how to interact with them. It is essential for ensuring that developers know how to access and use the API’s features correctly.

    2. Helps with Integration:

      • API documentation simplifies the process of integrating an API into applications by providing all the necessary details, such as available endpoints, request types (GET, POST, PUT, DELETE), parameters, and expected responses. This allows developers to integrate and make calls to the API effectively.

    3. Saves Development Time:

      • Well-documented APIs can significantly reduce the amount of time developers spend figuring out how to use the API. Instead of reverse-engineering the API or trial and error, developers can quickly find the information they need in the documentation to get up and running faster.

    4. Error Handling:

      • A good API documentation includes detailed information about potential errors that may arise while interacting with the API. It lists common error codes, messages, and explanations of what those errors mean, helping developers troubleshoot issues and avoid common mistakes.

    5. Clarifies Authentication and Security:

      • APIs often require some form of authentication (e.g., API keys, OAuth tokens). Proper API documentation outlines how to authenticate requests securely and explains the security model used by the API, which is crucial for developers to ensure their integrations are secure.

    6. Enables API Maintenance and Versioning:

      • As APIs evolve, having documentation in place allows developers to understand what changes have been made between different versions. It helps track deprecated features, newly introduced ones, and any breaking changes, ensuring developers can keep their code compatible with the latest API versions.

    7. Increases API Adoption:

      • APIs that are well-documented are easier for developers to adopt and use. Clear documentation lowers the barrier to entry, encouraging third-party developers to integrate the API into their applications, thus increasing the adoption rate of the API.

    8. Improves Collaboration:

      • API documentation serves as a communication tool between teams (e.g., backend and frontend developers) and external users. It ensures everyone understands how the API should be used, minimizing miscommunication and potential errors in the development process.

    9. Reduces Support Requests:

      • When APIs are well-documented, developers can usually find answers to their questions and troubleshoot issues on their own. This reduces the number of support requests and allows the team responsible for the API to focus on development and maintenance rather than fielding constant inquiries.

    10. Consistency in Usage:

      • Good API documentation encourages consistent usage patterns among developers. It helps ensure that the API is used in the correct way, which leads to more stable, predictable, and maintainable integrations.

    Key Components of API Documentation

    1. API Overview:

      • A brief introduction that explains what the API does and what it is used for. This might include a general description of the API’s purpose and its main features.

    2. Authentication:

      • Instructions on how to authenticate with the API, including what credentials or tokens are required and how to obtain them.

    3. Endpoints:

      • A comprehensive list of all the available API endpoints, each with:
        • Method: HTTP methods (GET, POST, PUT, DELETE).
        • Path: The URL or path to the endpoint.
        • Description: What the endpoint does and when it should be used.
        • Parameters: Details of any required or optional parameters (headers, query parameters, body data).
        • Request Body: If the API requires data to be sent, the expected structure of the request body.
        • Response: What the response will look like, including data format (e.g., JSON or XML), and any fields that will be returned.

    4. Error Codes:

      • A list of possible error codes and messages, with explanations for each. For example, common errors include 400 for bad requests, 404 for not found, and 500 for server errors.

    5. Examples:

      • Sample API requests and responses in various formats (usually JSON or XML) to give developers a practical understanding of how to use the API. This often includes example cURL requests or code snippets in various programming languages.

    6. Rate Limiting and Usage Policies:

      • If applicable, the documentation should describe any limitations on API usage (e.g., the number of requests allowed per minute, daily limits, etc.), along with how to handle these limits.

    7. Versioning Information:

      • Documentation of the current version of the API and any changes that might have been introduced in newer versions. This may also include information about deprecated features and how to migrate to newer versions.

    8. Tutorials and Guides:

      • Additional resources or tutorials that walk through specific use cases or demonstrate how to achieve certain tasks with the API.

    9. Testing Tools:

      • Some API documentation platforms, like Swagger or Postman, include integrated tools for testing the API. Developers can use these tools to try out API calls directly from the documentation.

    Best Practices for API Documentation

    1. Clarity and Simplicity:

      • The documentation should be easy to read and understand. Avoid jargon and use clear, concise language to explain complex concepts.

    2. Up-to-Date:

      • Keep the documentation updated with every new version or change to the API. Outdated documentation can lead to confusion and integration issues for developers.

    3. Use Visuals:

      • Incorporate diagrams, flowcharts, or sample screenshots to help clarify the API’s behavior and response formats.

    4. Interactive Documentation:

      • Use tools like Swagger, Postman, or Redoc to make the documentation interactive. This allows developers to try out API calls directly from the documentation.

    5. Comprehensive Examples:

      • Provide examples for common use cases, including both successful and error responses. Real-life examples help developers grasp how to use the API quickly.

    6. Organize Documentation Logically:

      • Group endpoints logically (e.g., by resource types) and provide a table of contents or index for easy navigation.

    7. Search Functionality:

      • If the documentation is extensive, include a search function to help developers find relevant information quickly.

    Conclusion

    API documentation is a critical tool for developers when integrating with and using APIs. It serves as the primary resource for understanding how to interact with an API, ensuring correct usage, handling errors, and speeding up the development process. Well-crafted, clear, and up-to-date documentation not only empowers developers to use the API efficiently but also increases the API’s adoption and success rate. Proper API documentation is not just a luxury but a necessity for creating user-friendly and reliable APIs.

    Question: What tools do you use for testing and debugging APIs?

    Answer:

    Testing and debugging APIs are crucial tasks to ensure their functionality, reliability, and performance. Several tools are available to facilitate the testing and debugging of APIs, each serving different purposes based on the type of testing (functional, load, security, etc.) and the level of interaction required. Below are some of the most popular tools used for API testing and debugging:

    1. Postman

    Postman is one of the most widely used tools for testing APIs. It allows developers to easily send requests to APIs, inspect responses, and automate tests.

    • Features:
      • Supports all HTTP methods (GET, POST, PUT, DELETE, etc.).
      • Allows setting up parameters, headers, authentication, and request bodies.
      • Supports environment variables for dynamic values.
      • Automated tests with JavaScript (for assertions).
      • Collection runner for batch testing multiple requests.
      • Built-in visualizations and reporting for responses.
      • Integration with CI/CD pipelines for automated API testing.
    • Use Case:
      • Functional testing, integration testing, and monitoring of APIs.
      • Automating and executing test scripts for API calls.

    2. Insomnia

    Insomnia is another popular REST API testing tool, similar to Postman but with a user interface that’s designed to be more lightweight and intuitive.

    • Features:
      • Supports REST, GraphQL, WebSocket, and gRPC protocols.
      • Allows testing requests, viewing responses, and managing environments.
      • Features a clean interface for quickly crafting API requests.
      • Authentication support for various schemes, including OAuth2 and JWT.
      • Supports GraphQL queries for testing GraphQL APIs.
    • Use Case:
      • Testing REST, GraphQL, and WebSocket APIs.
      • Simplified workflow for quick API request creation and debugging.

    3. Swagger UI

    Swagger UI is a tool used for visualizing and testing REST APIs that have been documented using the OpenAPI specification (formerly Swagger). It provides an interactive interface to test API endpoints.

    • Features:
      • Automatically generates API documentation from OpenAPI specs.
      • Interactive documentation that allows users to make API requests directly from the documentation.
      • Provides real-time request and response information.
      • Automatically handles authentication and parameter entry.
    • Use Case:
      • Documentation and testing of APIs documented with OpenAPI/Swagger specs.
      • Exploring API endpoints and testing them in real time.

    4. cURL (Client URL)

    cURL is a command-line tool used for making HTTP requests. It is simple and powerful for debugging APIs, especially when working with the terminal.

    • Features:
      • Supports all HTTP methods and can send data via GET, POST, PUT, DELETE, etc.
      • Supports sending headers, data, and cookies.
      • Great for testing API calls directly from the terminal or within scripts.
      • Can be used with authentication mechanisms like API keys, OAuth, and more.
    • Use Case:
      • Quick and direct testing of API endpoints, especially for debugging network issues.
      • Automation and scripting of API tests.

    5. Fiddler

    Fiddler is a web debugging proxy tool that helps you monitor and manipulate HTTP(S) traffic between your computer and the internet.

    • Features:
      • Capture and inspect HTTP/HTTPS traffic between client and server.
      • Modify requests and responses (including headers, cookies, and body content).
      • Ability to replay requests to test specific API scenarios.
      • Debugging proxy for troubleshooting API requests at the network level.
    • Use Case:
      • Debugging and analyzing API requests/responses in transit.
      • Modifying HTTP traffic to simulate different scenarios and test API behavior.

    6. SoapUI

    SoapUI is a popular tool for testing SOAP and REST APIs. It supports both functional and non-functional testing, such as performance testing.

    • Features:
      • Comprehensive support for SOAP and REST APIs.
      • Automated functional testing, including assertions and validations.
      • Security testing to detect vulnerabilities in APIs.
      • Load testing to assess the performance of APIs under heavy usage.
      • Data-driven testing and mock service creation.
    • Use Case:
      • Functional and security testing of SOAP and REST APIs.
      • Load testing and performance assessments for APIs.
      • Mocking APIs for testing in isolation.

    7. JMeter

    Apache JMeter is an open-source tool designed for performance and load testing APIs. It is often used to simulate heavy traffic to an API and measure its response times and throughput.

    • Features:
      • Supports testing REST, SOAP, and other types of APIs.
      • Can simulate heavy loads with multiple virtual users (VUs).
      • Generates reports on response times, throughput, and error rates.
      • Can be used for functional, regression, and performance testing.
    • Use Case:
      • Load testing and performance testing of APIs under heavy traffic.
      • Regression testing for ensuring APIs remain performant with new releases.

    8. Newman (Postman CLI)

    Newman is a command-line tool that allows you to run Postman collections outside of the Postman app. It is ideal for running API tests in CI/CD pipelines.

    • Features:
      • Execute Postman collections via the command line.
      • Generate detailed reports in various formats (HTML, JSON, etc.).
      • Integration with CI/CD tools like Jenkins, CircleCI, and Travis CI.
    • Use Case:
      • Running automated API tests as part of a continuous integration pipeline.
      • Running Postman tests in headless environments.

    9. Charles Proxy

    Charles Proxy is an HTTP proxy that allows developers to inspect all HTTP and SSL traffic between their computer and the internet. It’s often used for debugging web traffic, including API requests.

    • Features:
      • Monitors HTTP and HTTPS traffic in real-time.
      • Allows you to inspect headers, request/response bodies, and cookies.
      • Can modify requests and responses for testing purposes.
      • Supports SSL proxying for HTTPS traffic.
    • Use Case:
      • Debugging and monitoring API traffic between client and server.
      • Intercepting and modifying requests and responses in real time.

    10. PyRestTest

    PyRestTest is a lightweight and simple Python-based tool for testing REST APIs. It is designed for functional testing, performance testing, and validating the response against expected results.

    • Features:
      • Simple configuration using YAML files for API test definitions.
      • Supports authentication, HTTP headers, request bodies, and parameters.
      • Supports assertions for validating API responses.
    • Use Case:
      • Automating functional and regression testing of REST APIs.
      • Running performance and load tests for APIs.

    11. Redoc

    Redoc is an open-source tool that generates API documentation from OpenAPI specifications. While it’s primarily a documentation tool, it also includes the ability to test APIs directly from the docs.

    • Features:
      • Creates interactive and user-friendly API documentation.
      • Supports API exploration and testing directly from the docs.
    • Use Case:
      • Generating interactive API documentation.
      • Enabling developers to test API endpoints directly from the documentation.

    Conclusion

    Each tool mentioned above serves a specific purpose in the process of testing and debugging APIs, from functional testing to performance and security analysis. The choice of tool depends on the nature of the API being tested (e.g., REST vs. SOAP), the type of testing required (e.g., load testing, functional testing), and the development environment (e.g., CI/CD integration). Tools like Postman, Insomnia, and cURL are excellent for manual testing, while tools like JMeter, SoapUI, and Newman excel in automated and load testing. For network-level debugging, Fiddler and Charles Proxy are indispensable.

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