Microservices Flashcards
What is not the core component of an HTTP response?
A) Status/Response Code
B) Version
C) Header
D) Time
The correct answer is:
D) Time
Time is not a core component of an HTTP response. The core components of an HTTP response are:
Status/Response Code: This is a three-digit number that indicates the outcome of the request. For example, 200 means “OK”, 404 means “Not Found”, etc.
Version: This specifies the HTTP version being used, such as HTTP/1.1 or HTTP/2.
Headers: These are additional pieces of information about the response or the server, such as Content-Type, Content-Length, Server, etc.
Body: This is the actual content of the response (though not listed in your options). It’s optional and depends on the type of request and response.
While time-related information can be included in HTTP headers (like Date or Last-Modified), it’s not considered a core component of the HTTP response structure itself. The time of the response is typically handled at the server or application level, not as a fundamental part of the HTTP protocol.
POST sends data to a particular URI and expects the resource at that URI to deal with the request. The web server at this point can decide what to do with the data in the context of a specified resource
A) TRUE
B) FALSE
A) TRUE
This statement accurately describes the functionality of the HTTP POST method. Here’s why:
POST sends data: The POST method is indeed used to send data to a server.
To a particular URI: POST requests are directed to a specific Uniform Resource Identifier (URI), which identifies the resource that will handle the request.
Expects the resource to deal with the request: The server-side resource identified by the URI is responsible for processing the data sent in the POST request.
Web server decides what to do with the data: The server has the flexibility to determine how to handle the incoming data in the context of the specified resource. This could involve storing the data, updating a database, triggering a process, or any other server-side action appropriate for that resource.
The POST method is commonly used for submitting form data, uploading files, or sending data that will result in a change on the server. It allows for more complex operations than simpler methods like GET, as it can handle larger amounts of data and is not limited by URL length restrictions.
Out of the Following which is not a tool or API for developing or testing web api
A) Spring REST web service using MVC
B) Jersey API
C) AXIS
D) MQTT
D) MQTT
MQTT (Message Queuing Telemetry Transport) is not a tool or API specifically designed for developing or testing web APIs. Instead, it is a lightweight messaging protocol used primarily for Internet of Things (IoT) applications and machine-to-machine communication.
Let’s briefly explain the other options, which are tools or APIs for developing web services:
Spring REST web service using MVC: This is a framework for building RESTful web services using the Model-View-Controller architectural pattern within the Spring ecosystem.
Jersey API: This is a popular open-source framework for developing RESTful Web Services in Java that provides support for JAX-RS APIs.
AXIS: Apache Axis is a SOAP engine, which is used for developing web services and clients that leverage the SOAP protocol.
MQTT, on the other hand, is designed for low-bandwidth, high-latency networks, making it suitable for IoT and mobile applications where network conditions may be unreliable. While it can be used in conjunction with web services, it is not primarily a tool for developing or testing web APIs.
Mention which markup language can be used in restful web API?
1) JSON
2) XML
3) None
4) 1&2
1&2
Both JSON (JavaScript Object Notation) and XML (eXtensible Markup Language) can be used in RESTful web APIs for data representation and exchange. Here’s a brief explanation of each:
JSON: This is a lightweight, text-based, language-independent data interchange format. It’s easy for humans to read and write, and easy for machines to parse and generate. JSON has become increasingly popular in RESTful APIs due to its simplicity and efficiency.
XML: This is a markup language that defines a set of rules for encoding documents in a format that is both human-readable and machine-readable. While it’s more verbose than JSON, XML is still widely used in many RESTful APIs, especially in enterprise environments.
Both JSON and XML serve the purpose of structuring data in a way that can be easily transmitted over the network and parsed by the receiving application. The choice between JSON and XML often depends on the specific requirements of the project, the preferences of the development team, and the needs of the API consumers.
It’s worth noting that while these are the most common formats, RESTful APIs are not limited to just JSON and XML. Other formats like YAML or even plain text can be used, though they are less common in practice.
How do you version your RESTful web services?
A) Via URL
B) Via HTTP headers.
C) None
D) Both
D) Both
Versioning RESTful web services can be done using both URL-based and HTTP header-based approaches. Here’s a brief explanation of each method:
Via URL: This method involves including the version number directly in the URL of the API endpoint. For example:
https://api.example.com/v1/users
https://api.example.com/v2/users
Via HTTP headers: This approach uses custom HTTP headers to specify the version of the API being requested. For example:
Accept-version: v1
Api-version: v2
Both methods have their advantages and are commonly used in practice. The choice between them (or using both) often depends on the specific requirements of the API and the preferences of the development team.
URL-based versioning is more visible and easier for API consumers to understand at a glance. However, it can lead to duplication of endpoints as the API evolves.
Header-based versioning keeps the URLs clean and allows for more flexibility, but it may be less intuitive for some developers and requires proper documentation.
By supporting both methods, API providers can offer more flexibility to their users and cater to different preferences or use cases.
Which directive of Cache Control Header of HTTP response indicates that the resource is cachable by any component?
A) Private
B) Public
B) Public
The public directive of the Cache-Control header in an HTTP response indicates that the resource is cacheable by any component, including browsers, intermediate caches, and proxies. This directive allows the response to be stored by any cache, regardless of whether the response is normally non-cacheable or restricted.
Which of the following use cases are good candidates for microservices:
A) A micro or macro applications that serve multiple purpose and performing a multiple responsibilities.
B) Backend services of a well-architected, responsive client-side MVC web application (the Backend as a Service (BaaS) scenario) load data on demand in response to the user navigation. In most of these scenarios, data could be coming from multiple logically different data sources.
C) Applications that require Command Query Responsibility segregations (CQRS)
D) B & C
E) A & C
F) All of the above
D) B & C
Here’s why:
B) Backend services of a well-architected, responsive client-side MVC web application (the Backend as a Service (BaaS) scenario) load data on demand in response to the user navigation. In most of these scenarios, data could be coming from multiple logically different data sources.
This scenario is a good candidate for microservices because it involves handling data from multiple sources and requires a modular, scalable backend that can efficiently respond to user interactions.
C) Applications that require Command Query Responsibility Segregations (CQRS)
CQRS is a pattern that separates read and write operations into different models, which aligns well with the microservices architecture. This separation can be effectively managed using microservices, allowing for independent scaling and optimization of read and write operations.
A) A micro or macro application that serves multiple purposes and performs multiple responsibilities
This scenario is less suitable for microservices because it involves a monolithic approach with multiple responsibilities, which contradicts the microservices principle of having small, single-responsibility services.
which is not a valid HTTP method used in REST-based architecture?
A) GET
B) PUT
C) REMOVE
D) OPTIONS
C) REMOVE
REMOVE is not a valid HTTP method used in REST-based architecture. The standard HTTP methods commonly used in RESTful APIs are:
GET: Used to retrieve resources from the server.
POST: Used to create new resources on the server.
PUT: Used to update existing resources on the server.
DELETE: Used to remove resources from the server.
PATCH: Used to partially modify resources.
OPTIONS: Used to describe the communication options for the target resource.
While REMOVE might seem like a logical choice for deleting resources, the standard HTTP method for this purpose is actually DELETE. The REMOVE method is not part of the HTTP specification and is not used in RESTful APIs.
It’s worth noting that RESTful APIs typically use these standard HTTP methods to perform CRUD (Create, Read, Update, Delete) operations on resources, mapping them to appropriate actions within the application.
Consider a use case where a university runs different courses in different departments led by multiple instructors. Each department can have multiple courses and each course can have multiple instructors. Which of the following is the best way to design API end points as per REST design principles in above scenario for listing instructors attached to a course :
A) GET /departments/{departmentId}/courses/{courseid}?list=instructors
B) GET /departments/{departmentld}/courses/{courseid}/instructors
C) A and B both
D) none of the above
B) GET /departments/{departmentId}/courses/{courseid}/instructors
This endpoint follows RESTful design principles by clearly representing the hierarchical relationship between departments, courses, and instructors. It uses a clean and intuitive URL structure that makes it easy to understand the resource being accessed (instructors for a specific course within a specific department).
What is not advantage of statelessness in RESTful Webservices?
A) Web services need to get extra information in each request and then interpret to get the client’s state in case client interactions are to be taken care of.
B) Web services can treat each method request independently.
C) Web services need not to maintain client’s previous interactions. It simplifies application design.
D) As HTTP is itself a statelessness protocol, RESTful Web services work seamlessly with HTTP protocol.
A) Web services need to get extra information in each request and then interpret to get the client’s state in case client interactions are to be taken care of.
This is not an advantage of statelessness in RESTful web services. In fact, it’s more of a challenge or potential drawback. Here’s why:
Statelessness means that each request from a client to the server must contain all the information necessary to understand and process the request. The server does not store any client context between requests.
While this approach simplifies server design and improves scalability, it can lead to increased overhead in situations where client state needs to be maintained.
The need to include extra information in each request to convey the client’s state can result in larger request payloads and potentially more complex request handling on the server side.
The other options (B, C, and D) are indeed advantages of statelessness in RESTful web services:
B) Treating each method request independently simplifies server-side logic and improves scalability.
C) Not maintaining client’s previous interactions simplifies application design and reduces server-side complexity.
D) The stateless nature of RESTful web services aligns well with the stateless HTTP protocol, making them work seamlessly together.
Which of the following kubernetes command is used to publish a resource as a service on a specific port.
A) run
B) expose
C) autoscale
D) rollout
B) expose
The ‘expose’ command in Kubernetes is used to publish a resource as a service on a specific port. This command creates a new service object that exposes a resource to external network traffic.
Here’s a brief explanation of what the ‘expose’ command does:
- It creates a new service resource to expose pods to network traffic.
- It can expose various types of Kubernetes resources, such as pods, deployments, replication controllers, and services.
- The command allows you to specify the port on which the service should be exposed.
For example, a typical use of the ‘expose’ command might look like this:
kubectl expose deployment my-deployment --port=8080 --target-port=80
This command would create a new service that exposes the pods in ‘my-deployment’ on port 8080, routing traffic to the containers on port 80.
The other options mentioned in the question have different purposes:
- ‘run’ is used to create and run a particular image in a pod.
- ‘autoscale’ is used to automatically adjust the number of pods in a deployment, replica set, or replication controller based on observed CPU utilization.
- ‘rollout’ is used to manage the rollout of a resource, such as performing updates to deployments.
How to display custom error pages using RestFull web services?
A) extend StatusService and implement getRepresentation
B) extend StatusService and implement getService
A) extend StatusService and implement getRepresentation
To display custom error pages using RESTful web services, you need to extend the StatusService class and implement the getRepresentation method. This approach allows you to customize the error responses returned by your RESTful API.
Here’s a brief explanation of how this works:
- The StatusService class is part of the RESTful framework (such as Restlet) and is responsible for handling status codes and error responses.
- By extending StatusService, you can override its default behavior and provide your own custom implementation for error handling.
- The getRepresentation method is the key method to implement. This method is called when an error occurs, and it allows you to define how the error should be represented to the client.
- In your implementation of getRepresentation, you can create custom error pages or responses based on different status codes or error conditions.
For example, a basic implementation might look like this:
```java
public class CustomStatusService extends StatusService {
@Override
public Representation getRepresentation(Status status, Request request, Response response) {
// Create and return a custom error representation based on the status
return new StringRepresentation(“Custom error: “ + status.getDescription());
}
}
~~~
By implementing this method, you can return tailored error messages, format them in specific ways (e.g., JSON or XML), or even serve custom HTML pages for different types of errors.
The option B) “extend StatusService and implement getService” is incorrect because there is no getService method in the StatusService class that is relevant to customizing error pages.
Which of the following are true about microservices monitoring:
A) Heterogeneous technologies may be used to implement microservices, which makes things even more complex. A single monitoring tool may not give all the required monitoring options.
B) Microservices deployment topologies are dynamic, making it impossible to preconfigure servers, instances, and monitoring parameters.
C) Microservice monitoring is typically done with three approaches: (i) Application performance monitoring (APM) (ii) Synthetic monitoring (iii) Real user monitoring (RUM) or user experience monitoring
D) A & B
E) A & C
F) All of the above
F) All of the above
All three statements (A, B, and C) are true about microservices monitoring. Let’s break down each point:
A) This statement is correct. Microservices often use diverse technologies, which can complicate monitoring. A single monitoring tool may not be sufficient to cover all aspects of a heterogeneous microservices architecture.
B) This statement is also true. Microservices deployments are typically dynamic, with instances scaling up or down based on demand. This dynamic nature makes it challenging to preconfigure monitoring parameters for specific servers or instances.
C) This statement accurately describes the three main approaches to microservices monitoring:
- Application Performance Monitoring (APM): This approach focuses on monitoring the performance and behavior of individual microservices and their interactions.
- Synthetic Monitoring: This involves simulating user interactions to proactively identify issues before they affect real users.
- Real User Monitoring (RUM) or User Experience Monitoring: This approach involves monitoring actual user interactions with the system to understand performance from the end-user perspective.
These three approaches together provide a comprehensive view of microservices performance and user experience.
Since all three statements are correct and provide valuable insights into the complexities and approaches of microservices monitoring, the most appropriate answer is F) All of the above.
Which of the following are true about log management in microservices architecture:
A) To have a centralized logging solution
B) To have a distributed logging solution
C) A log store is part of centralized logging solution and is the place where all log messages are stored for real-time analysis, trending, and so on. Typically, a log store is a NoSQL database, such as HDFS, capable of handling large data volumes.
D) A & C
E) B & C
F) None of the above
D) A & C
Let’s break down why these statements are true about log management in microservices architecture:
A) To have a centralized logging solution
This is correct. In a microservices architecture, having a centralized logging solution is crucial. With multiple services generating logs independently, a centralized system allows for easier log aggregation, analysis, and troubleshooting across the entire application ecosystem.
C) A log store is part of centralized logging solution and is the place where all log messages are stored for real-time analysis, trending, and so on. Typically, a log store is a NoSQL database, such as HDFS, capable of handling large data volumes.
This statement is also correct. A centralized log store is an essential component of a centralized logging solution in microservices architecture. It provides a single repository for all log data, enabling efficient searching, analysis, and long-term storage of logs from multiple services. NoSQL databases like HDFS are indeed commonly used for this purpose due to their ability to handle large volumes of unstructured or semi-structured data.
The combination of a centralized logging approach (A) and a centralized log store (C) forms a comprehensive logging strategy for microservices architectures. This approach allows for:
- Easier correlation of events across different services
- Simplified troubleshooting and debugging
- Improved ability to perform system-wide analysis and generate insights
- Better scalability in handling logs from numerous microservices
Option B (To have a distributed logging solution) is not typically recommended for microservices, as it can make log analysis and troubleshooting more complex and time-consuming. While logs may be generated in a distributed manner, the goal is usually to aggregate them into a centralized system for easier management and analysis.
Therefore, the correct answer is D) A & C, as these statements accurately describe key aspects of effective log management in microservices architecture.
In Kubernetes, a node is:
A) A tool for starting a kubernetes cluster on a local machine
B) A worker machine
C) A machine that coordinates the scheduling and management of application containers on the cluster
D) A & C
E) A & B
F) All of the above
B) A worker machine
In Kubernetes, a node is indeed a worker machine. Here’s a more detailed explanation:
- A node in Kubernetes is a physical or virtual machine that runs containerized workloads. It’s part of the Kubernetes cluster and is responsible for running pods, which are the smallest deployable units in Kubernetes.
- Nodes are the worker machines in a Kubernetes cluster where containers are deployed, managed, and run. Each node contains the necessary services to run pods, including the container runtime (like Docker), kubelet (the primary node agent), and kube-proxy (for network routing).
- Nodes are managed by the control plane, which is responsible for the global decisions about the cluster (such as scheduling) and detecting and responding to cluster events.
It’s important to note that the other options are incorrect or refer to different components in Kubernetes:
A) A tool for starting a Kubernetes cluster on a local machine is typically something like Minikube, not a node.
C) The machine that coordinates scheduling and management is the control plane or master node, not a regular node.
D, E, and F) These combinations are incorrect as they include the incorrect options A and C.
Therefore, the most accurate description of a node in Kubernetes is B) A worker machine.