TOP 15 MVVM Interview Questions and Answers 2019 | MVVM Interview Questions | Wisdom Jobs
Here is a list of some of the most typical interview questions I have asked (or received) in the past. Answers to all questions can be found further down.
When using flatMap(), a chain can be divided into several intermediate streams (let’s call them [A, B, C]), all of which are then “flattened” back into a single stream. There are no guarantees about the order in which the emissions from these intermediate streams will appear because they are transmitted directly to the main stream. It’s entirely possible for the outcome to appear as follows: [B1, A1, B2, C1, A2, C2, C3, A2]
I encourage you to answer these on your own. If you need help, I’ve provided sample answers below.
The most crucial step is selecting the appropriate RxJava construct for your stream. The safest option is Flowable with a proper backpressure strategy if you suspect backpressure will happen. Additionally, you can attempt to manually “slow-down” the Producer by including operators of the buffer type before your event handling Last but not least, you can try to speed up your Consumer; ideally, it should perform quick, small operations. Perhaps some of that logic can be moved to- and parallelized by the Rx stream ifself if you need more computation-intensive ones.
The pattern mentioned above may be quite wasteful depending on the use-case, so using the replay() method is an alternative. autoConnect(0) paradigm. The replay() operator will store the Hot observable’s values and re-emit them to subsequent subscribers. Even if the underlying Hot observable has no subscribers, autoConnect(0) returns an observable that can still be triggered. Combining the two merely replays previously saved values from the Hot observable as a Cold one.
Introduction to RxJava Interview Questions
The top 15 interview questions for RxJava will be included, which will be helpful when going to interviews. RxJava is a Java virtual machine implementation of the ReactiveX library for event-based and asynchronous applications. RxJava has 2 building blocks, i. e. , Observables and Subscribers. The first is used to emit things, and the second is used to consume things that are emitted. Reactive programming, a programming language that is concerned with data streams and propagation, is the foundation of RxJava. Reacting to state changes rather than causing them is what is meant by being reactive. Here are some crucial inquiries to ask in interviews so that you can land job opportunities.
FAQ
What is RxJava interview questions?
- When does Observable Start to Emit Items? …
- Define Scheduler Explain Why RxJava Uses Schedulers? …
- Differentiate flatMap(), switchMap() and concatMap() …
- How many times can onNext(), onError() and onComplete() be called? .
- Define Observable chain.
Is RxJava following the push or pull pattern?
New data is “pushed” to observers in RxJava, so is it following the “push” or “pull” pattern?
What is the difference between coroutines and RxJava?
RxJava streams are vulnerable to leaks, where a stream continues to process items even after you have lost interest in them. Structured concurrency is used by Kotlin coroutines, making it much simpler to manage the lifecycle of all your concurrent code.
What is reactive programming interview questions?
- Q1: …
- Q2: …
- What is the Reactive Manifesto? …
- What Are Some Advantages of Reactive Programming? …
- What are the benefits of Reactive Programming? …
- Describe Difference Between Reactive Programming vs Imperative Programming. …
- Explain the Term Non-Blocking.
