We have designed a set of the most frequently asked RabbitMQ Interview Questions that you must go through before attending interviews. You can assess your understanding of RabbitMQ core concepts like Exchange, Routing Key, Binding, Dead Letter Queue, Message Patterns, etc. These RabbitMQ interview questions are curated by experts with more than ten years of real-time experience in RabbitMQ and Microservices.
Microservices are becoming increasingly famous in business because they allow developers to implement changes rapidly. They provide several advantages over monolithic architectures, like increased modularity, maintainability, and scalability. Due to these advantages, Software developers choose to develop applications with the microservice architecture. In Microservices architecture, two or microservices will be interconnected with each other to communicate and perform.
To interconnect microservices, we use message brokers like RabbitMQ, Kafka, and Redis to interconnect microservices. Among other message brokers, RabbitMQ is the most widely utilized freeware message broker. It is easy to use, lightweight and supports most of the famous technologies like Docker, Kubernetes, and programming languages like Java, Python, .NET, and GO. So, anyone who wants to start their career will have great demand and massive salaries. That’s why we have brought you these RabbitMQ interview questions. These RabbitMQ Interview Questions and Answers which will help you with different experience levels to get the maximum benefit from this blog.
We have categorized RabbitMQ Interview Questions into different levels they are:
Top 10 RabbitMQ Interview Questions
RabbitMQ is a freeware message-broker system, and it is also called message queuing technology. It defines the queues to which the applications interact for data transfer and message transmission. Any information can be included in the message. The receiver application will process the message.
Binding acts as the “bridge” that we establish to connect the queue for an exchange.
The Routing key is defined as the attribute message that the exchange checks while determining how we route the messages to the queues. The message structure in RabbitMQ is divided into two parts: They are payload and routing key. Routing Key is used for describing the payload sent by the system, and messaging system itself for determining who will be receiver of payload. The Routing Key also allows you to bind the exchanges to the queues.
Message Queuing is used when we want to exchange the message for utilization of load balancing between the workers with the multiple receivers. The user can take a message from the queue while the producer is in a queue and begin processing. The user can be on a different server or the same server as the publisher.
The requested application can be of one language, and the consumer application is of another language - the message broker will not care about application languages; it just sends the message between the receiver and consumer.
Messages are not posted directly in the queue; instead, the user sends the messages to an exchange. An exchange is accountable for routing the messages to different queues. The exchange receives the messages from the producer request and routes them by routing and binding keys to the message queues. Binding serves as the linkage between a queue and an exchange.
The following are the primary features of RabbitMQ:
The following are the some disadvantages of RabbitMQ:
Messaging is the communication process utilized for the system interactions. In software development, messaging allows distributed interaction that is loosely coupled. A message client can transmit messages to and receive messages from another client. The structure of the message is as follows:
An exchange should accept messages from supplier requests and route them to the message queues through header attributes, routing keys, and bindings. Binding is configured for connecting the queue to the exchange. The standard message flow of RabbitMQ is as follows:
In RabbitMQ, Server is a scalable and robust implementation of the AMQP broker; it allows us to show the banner messages and reports the progress in startup sequence with message broker running, which means the RabbitMQ broker has been commenced successfully.
A Vhost(a.k.a ‘Virtual Host’) in AMQP is the namespace for the messages like Queues, Bindings, and Exchanges. RabbitMQ uses the more tangible implementation of the virtual hosts by making them “virtual clusters” on the top of the broker.
RabbitMQ utilizes the Advanced Message Queuing Protocol(AMQP). It is the open standard layer used to communicate the dates throughout the network using a byte stream.
RabbitMQ deliberately does not store messages in the database. It writes messages to the disks in the following two ways:
Erlang is a concurrent, general-purpose, functional programming language and garbage-collected runtime system. The RabbitMQ server is developed in the Erlang programming language and is designed on the Open Telecom Platform framework for clustering and fail-over. As RabbitMQ is developed on the top of Erlang, we first have to install Erlang before installing RabbitMQ.
pub/sub messaging is an asynchronous service-to-service interaction; it is a two-way interaction. It is primarily utilized in stateless microservices. In this model, Once the message is published on the topic, it is received immediately by all the subscribers to the topic.
AMQP(Advanced Message Queuing Protocol) is the open standard application layer protocol for message-oriented middleware. AMQP 0-9-1 is the binary messaging protocol and semantic framework for microservices and enterprise messaging. RabbitMQ Messaging is based on the AMQP 0-9-1 protocol. RabbitMQ supports:
Having the queue durable is different from making the persistent changes. Messages can be distributed either with the making mode to be transient or persistent. When we post our message, we have to set the delivery mode to persistent if we want it to remain in our long-lasting queue during the restart.
RabbitMQ supports MQTT 3.1.1 using the plugin that carries to core distribution. The following are the features of Supported MQTT:
RabbitMQ is the messaging broker, Whereas Mule is the Enterprise Service Bus(ESB). The ESB contains additional layers on top of message brokers like, transformations, business process management, and routing.
RabbitMQ Admin allows us to perform the same actions as the web-based UI; it can be carried with a management plugin and offers a suitable way to automate the tasks. This tool enables us to support all the versions of Python and can be downloaded after management plugin is installed.
ZeroMQ is the asynchronous messaging library designed by iMatrix to be utilized in distributed applications. It uses the sockets to carry the atomic messages throughout different transports like inter-process, in-process, multicast, and TCP. It is developed in C++ and many contributors design ZerMQ.
Following are the different kinds of Exchanges:
Direct: On the basis of routing key, a message is transmitted to binding queue having a similar routing key. The routing key of exchange and binding queue to be the exact match.
Topic: Here also, we use the routing key. But contrary to the direct message type, here routing key of the bound and exchange queues must be different from the exact match. We can transmit the exchange to different bound queries through regular expressions like a wildcard.
Fanout: Message is routed to all the existing bounded queues. The routing key, if given, is ignored, Thus, it is a kind of publish-subscribe design pattern.
Headers: In this kind of message the routing queue is chosen on the criterial defined in the headers rather than in routing key. This is same as topic exchange type, yet here we can define the difficult criteria for choosing the routing queues.
|Related Article: "Kafka vs RabbitMQ"|
Some of the architectural patterns utilized by RabbitMQ are:
Apache Qpid is a freeware messaging system that is implemented on the Advanced Message Queuing Protocol. Apache Software Foundation designs Apache Qpid. This open internet protocol makes it idle for everyone to develop a diverse messaging system to send and receive messages securely. It offers features like queuing, transaction management, security, distribution, clustering, and heterogeneous multi-platform support.
Generally, the dead letter queue, also called the undelivered message queue, is the holding queue of messages that cannot be transmitted to their destinations for some reason. In the RabbitM, dead letter queue is the service implementation for storing the messages that meet one or more of the below failure criteria:
STOMP refers to a simple text-oriented messaging protocol the UI Client utilizes for connecting to the enterprise message brokers. Clients can utilize the “SUBSCRIBE” or “SEND” commands for sending or subscribing to the messages with the “destination” header that explains what the message is about and who must receive it. It specifies the server and client protocol for communicating with the message semantics. It does not specify the implementation details but instead handles easy-to-implement wire protocol for the message integrations. The protocol is the same as HTTP and works on TCP through the below commands:
Channels tell us how the RabbitMQ server interacts with our application. It stores one connection per client process and various channels in that process. The RabbitMQ channel allows us to have a single reference to the RabbitMQ server, but the different parts of our application include sandboxed communication.
Asynchronous Messaging is an interaction where the message is placed in the message queue and does not need an instant response from the receiver. Whereas Synchronous messaging is a two-way interaction, where the sender sends the message to the receiver, and the receiver receives the message and gives a reply to the sender.
Message Patterns are implemented in the RabbitMQ based on exchange bindings and queues. We may differentiate between different approaches for implementing the RabbitMQ Design Pattern. The following are different Message Patterns utilized by RabbitMQ:
Point-to-Point connection is the communication connection between two communication nodes or endpoints.
Request-Reply or Request-Response is the strong message pattern where requester sends the message to the replier, and in return, the replier sends the response back to the replier.
A. By executing the following command, we can stop the RabbitMQ server on the localhost:
Following are the client libraries that RabbitMQ supports:
Spring cloud stream is the framework for designing event-driven and highly-scalable microservices linked to shared messaging systems. It offers a flexible programming model that is designed on the established Spring idioms. It supports continuous pub/sub semantics, stateful partitions, and consumer groups. The essential building blocks of Spring Cloud Stream are the Destination Bindings, Destination Binders, and Messages.
RabbitMQ is the lightweight message broker utilized for interacting messages between producer and consumer. It supports different protocols like MQTT, AMQP, and STOMP. While Kafka handles vast amounts of data with little overhead - Kafka was developed for massive volumes of messages to be distributed and stored.
|Want to Know about Kafka, then CheckOut "Kafka Tutorial"|
Monitoring the mechanism of capturing the behavior of our application through health metrics and checks. We have different tools to monitor the applications like DataDog, AppDynamics, AWS CloudWatch, etc.
For making the queue function as the priority queue, offer the “x-max-priority” property when the queue is set. “x-max-priority” declares the maximum priority number in the queue. We can set the priority as given below:
RabbitMQ is a freeware message broker supporting various protocols developed in Erlang. While ActiveMQ is a freeware with support for the multiple protocols developed in Java Language.
Like other services, we can restart the RabbitMQ service by executing the below command:
RabbitMQ acts as a message broker for interservice communication. It provides a common platform for the applications to send and receive messages, and your messages will be stored in a safe place until received.
RabbitMQ utilizes the Push-based model with the smart producer, which indicates that the producer can decide when to push the data. A pre-defined limit is specified on the consumer to stop the producer from enormous consumers.
RabbitMQ is suitable for transactional data, such as order information, placement, and user requests. In contrast, Kafka is ideal for operational data like auditing and logging statistics, system activity, and process operations.
In RabbitMQ, MQ stands for “Message Queue.”
No, RabbitMQ is not faster than Kafka. Kafka can process millions of messages in a second. Though RabbitMQ messages can also process millions of messages in a second, it needs more resources.
RabbitMQ can handle a million messages per second but needs more resources.
All the protocols supported by RabbitMQ are TCP based. So, RabbitMQ is a TCP.
Yes, the Queues in RabbitMQ are FIFO. Some queue features, like requeuing and priorities by consumers, can impact the ordering.
In RabbitMQ, durable queues can withstand the RabbitMQ restart. If the queue is not durable, all messages will be lost if the RabbitMQ is shut down for any reason.
In RabbtMQ, versions starting from 3.7.0, all messages data is amalgamated in the msg_stores/vhosts directory and stored in the subdirectory per vhost.
1. Read the Job Description
Before applying, you should read the job description in detail to understand how the employer has explained the positions and type of applicant they are looking for. Attentively analyze the key phrases and keywords the interviewer utilizes to describe their expectations from the candidate.
2. Review your eligibility for the job
Think about your experience and qualification. Evaluate how the job sets into your career path and what value you can add to the organization.
3. Make a list of expected Interview Questions.
Prepare a list of interview questions for the given position and frame good answers. Build attractive responses to that questions to emphasize your expertise and interest in the job. Besides job-oriented questions, prepare for some of the general questions like:
4. Attempt mock interviews
Irrespective of your preparation, it is natural to feel overwhelmed and anxious during the interview. A mock interview will provide you with excellent assistance in this situation. It will create a real-time interview-like environment and help you improve your confidence. Ask your family members or friends to conduct a mock interview for you. Try to record the complete process to analyze your performance.
5. Update Social Media Profile
If you have LinkedIn, Facebook, or any other social media platform accounts, ensure you have updated the profiles. Employers will check your social media accounts to gain insight into your background and personality. If there is anything offensive, prepare a response if the interviewer asks.
6. Be polite and confident
Be confident and firm while giving the interview. You can begin practicing it the moment you enter the organization. Be careful while smiling and greeting the interviewers.
RabbitMQ has become a popular message broker due to software developers' comprehensive utilization of Microservices. Since it supports all the famous programming languages, it is used by all the top companies like Accenture, Reddit, Stack, etc. So, individuals who have an in-depth knowledge of RabbitMQ will have massive demand. So, if you prepare well for the interview, you can achieve a well-paying job.
This RabbitMQ interview questions blog includes more than 45 frequently asked RabbitMQ interview questions to help you prepare efficiently for the RabbitMQ interviews. Study them thoroughly to answer the interview question confidently. If you want to add more value to your resume, join MindMajix RabbitMQ certification Training to get an industry-recognized RabbitMQ course completion certificate.
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Madhuri is a Senior Content Creator at MindMajix. She has written about a range of different topics on various technologies, which include, Splunk, Tensorflow, Selenium, and CEH. She spends most of her time researching on technology, and startups. Connect with her via LinkedIn and Twitter .
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