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Introduction to Computer Architecture Interview Questions and Answers

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Now, if you are looking for a job that is related to Computer Architecture then you need to prepare for the 2023 Computer Architecture Interview Questions. It is true that every interview is different as per the different job profiles. Here, we have prepared the important Computer Architecture Interview Questions and Answers which will help you get success in your interview.

In this 2023 Computer Architecture Interview Questions article, we shall present 10 most important and frequently asked interview questions. These questions are divided into two parts are as follows:

Part 1 – Computer Architecture Interview Questions (Basic)

This first part covers basic Interview Questions and Answers

Q1. Give entire details related to basic components used by a Microprocessor?

We can assume three kinds of basic components which normally used by a Microprocessor, examples are below:

Referring proper address of a single block is very important for Microprocessor, so address lines are one of the key components of a Microprocessor.

Transferring data is one of the main criteria, here data lines are the component that maintaining the same for a microprocessor.

Now addressing and data transfer has been done, so the target is processing data. IC Chips are the key component for the same in a microprocessor.

Q2. Explain details about MESI?

MESI is one of the most popular protocols, which basically helping of support one of the key requirement of a processor that is written back cache. As MESI protocol has been developed and designed in the University of Illinois, it is also called as Illinois protocol. Initially write through cache was using, which actually loss of huge bandwidth. Write back cache is mainly popular due to managing the bandwidth properly in the physical system. This protocol maintaining one approach to that is called dirty state, it actually indicating to the system that data in this cache are different from the storing data in the cache of main memory.

Q3. Explain about the different type of hazards available in the market, is it possible to avoid them? If yes explain how?

This is one of the critical situations of a physical system, which called hazards. This kind of situation mainly preventing to provide proper instruction to the next executor stream for execution desired script which actually designed by the architecture suppose in the proper clock cycle. It obviously reduces the desired performance of the physical system.

Structural: Hazards which are normally generated due to the defined structure of the system, suppose some instruction is not able to run due to hardware inability.

Data: This kind of hazards can generate at the time of executing dependent instruction.

Control: this kind of hazards mainly generate at the time of changing pipelining which directly impact on system configuration.

Structural hazard can be avoided by improving hardware configuration or replacing as this kind of confusion situation almost known issue.

Q4. Describe in details about pipelining? Q5. Suppose defining size of the cache is 64 KB, and it has multiple blocks assume total block size is 32B and following two way set associative by this cache, now considering 32-bit machine or physical address, provide details of division between index, tag and Block offset?

Cache size is 64 KB, and block size is 32B, the number of blocks will be 2000 (64 KB/ 32). Now as we consider two way set associative, then the number of lines will be 1000 (2000/2), that’s mean every index should have 10 bits. As it is a 32B block, so block offset will be 5 bits. And tag will be also 17, a calculation is (32-10-5).

Part 2 – Computer Architecture Interview Questions (Advanced) Q6. Explain more details in Snooping Cache?

Snooping is one of the define processes in the computer system where memory management of cache has been introduced. This is one of the processes where cache which is individually generated have one specific define monitoring address line which has one specific access to their memory location directly that location they already have in the cache memory. It has one helping functionality of cache memory optimization in the computer system. Suppose one write operation has been observed that cache location already performed the require cache copy in that specific location, then cache controller automatically invalidated their own controlling copy on that specific location, which called snooped memory location in the computer system. That actually helps for optimization of cache memory allocator

Q7. Explain about cache coherency in details?

Let us move to the next Computer Architecture Interview Questions

Q8. Explain in detail about virtual memory?

Virtual memory is a memory which is additionally added with the computer system which extending computer original memory and adds some additional space.

Q9. Explain about 5 stages in details for a DLX pipeline?

This is the most asked Computer Architecture Interview Questions in an interview. DLX pipeline are as follow

CPU Operand Storage

Explicit operands



Type and size of operands

Q10. Explain in detail about a cache?

Caching is one of the key functions of any computer system architecture process. It always is available in every computer somehow in varieties kind of form. There are several caches available in the computer system, some popular caches are memory, software and hardware disk, pages caches etc. Even virtual memory is also been considering as a cache memory as per architectural design of a computer system. Memory cache is mainly concentrated on high speed static random access memory and it is very much necessary as maximum program or instruction try to use the same data repeatedly. Similarly, web pages cache mainly helps internet browser for improving speed on accessing the same level of data on that web page.

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10 Essential Quality Control Interview Questions {Updated For 2023}

Introduction to QC Interview Questions and Answers

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Software Quality Assurance is different from Software Quality Control as software quality assurance encompasses the various standards and processes for the stable maintenance of the quality of the products, e.g., software deliverables, processes, and documentation, reducing the number of defects, etc. In contrast, software quality control is a kind of artifact compliance validation against the established requirement criteria in finding the defects.

If you are looking for a job related to Quality Control, you must prepare for the 2023 Quality Control Interview Questions. Every interview is indeed different as per the various job profiles. Here, we have prepared the critical Quality Control Interview Questions and Answers to help you succeed in your interview.

In this 2023 Quality Control Interview Questions article, we shall present the ten most important and frequently asked Quality Control Interview questions. We can divide these questions into two parts as follows:

Part 1 – Quality Control Interview Questions (Basic)

This first part covers basic Interview Questions and Answers.

Q1. What is Software Quality Control and explain its benefits?

Software Quality Control comprises a set of standard procedures followed by organizations, institutes, or international groups based on reference standards. These procedures aim to ensure the delivery of efficient and high-quality products that meet customer satisfaction and requirements. The several benefits of Software Quality Control are as below –

It is possible to increase the efficiency of the software system or product.

Product defects can be minimized before delivery.

It is possible to reduce the development time.

It is possible to improve the customer satisfaction index.

Establishing strong trust and relationships with the client is possible.

Faster application development with a smaller number of defects.

Q2. What are the different steps or processes involved in the Quality Control Procedure?

This is the basic Quality Control Interview Question asked in an interview. The Quality Control Procedure involves several steps or processes, including reviewing and testing the product according to the requirements. The steps involved in the Review and Testing phases are mentioned below–

Requirement Analysis

Design Phase

Code Build and Development

Application or Code Deployment

Test Plan phase

Implementing test cases

Testing Phase:

Q3. What are the different types of Quality Control Parameters available in Software QC?

The different types of Quality Control Parameters available in Software Quality Control are Products, processes, and Resources, which are explained below:

Products: The products refer to the customer’s actual requirements, which need to be delivered without any defects.

Processes: The processes define the rules or procedures that should be followed during the testing of the software system or product, ensuring the delivery of the best product. The set of processes will enable the testing procedure to be carried out efficiently to test the complete product without missing any functional or non-functional inabilities per the customer’s required specifications.

Resources: Resources to be deployed are to be very efficient in terms of team or tools or technologies used. Depending on the project’s budget, one can execute the testing procedure automatically or manually. If manual, efficient resources should be available within the team to avoid any manual errors or defects. In contrast, Automated testing also needs a technical professional to be deployed.

Q4. What are the different types of Quality Control Processes involved?

The different types of Quality Control Processes involved are Plan, Do, Check, and Act, and they are explained below –

Plan – In this stage, we follow and consolidate all Quality Control processes into a single test coverage document or a Test Plan Document.

Do – This stage defines all the Quality Control processes as parameters to develop the Quality Standards.

Check– This is a stage where all the Quality Control processing parameters meet the quality as per the prescribed standards.

Act– This stage involves taking necessary actions to ensure quality, repeating them if necessary, and implementing corrective actions.

Q5. What types of testing are performed as part of Quality Control processes?

The different types of testing performed as part of Quality Control processes are such as Unit testing, Functional testing, Integration testing, System Testing, System Integration Testing, Non-Functional Testing, User Acceptance Testing, Beta Testing, Performance testing, Regression testing, Volume testing, Recovery testing, Usability testing, Stress testing, Load testing, and Installation testing.

Part 2 – Quality Control Interview Questions (Advanced) Q6. What are the different characteristics of Quality Control?

To adopt a different set of processes.

Delivering a high-quality product for delivery.

To deliver quality products to customers at a low cost.

Apply processes from different organizations or standards in an effort to consistently enhance quality.

To ensure the proper execution of the plan.

To ensure proper planning and review processes for execution.

Q7. What are the different factors involved in the Software Quality Control of a System or Product, and explain them?

The different factors involved in the Software Quality Control of a System or a Product are such as Usability, Portability, Maintainability, Reliability, and Efficiency, which are explained below –

Usability – Ease of using the software.

Portability – To be able to use in different locations or environments.

Maintainability – Ease of maintenance and upgrading functionalities.

Reliability – Long reliability without any downtime or defects

Efficiency – To be able to meet the requirements efficiently.

Q8. What are the Quality Control characteristics as per ISO standards?

Below are the Quality Control characteristics described according to ISO standards:-






Q9. What are the different Software Control Views?

This is the most asked Quality Control Interview Question in an interview. These are the Different Software Control Views





Q10. What is the best tool available for QC?

The best tool available for Quality Control is HP ALM(Application Lifecycle Management), a product of HPE Company as a test management tool.

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Top 7 Java Developer Interview Questions And Answers Updated For 2023

Introduction to Java Developer Interview Questions And Answer

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So if you have finally found your dream job as a Java Developer but are wondering how to crack the 2023 Java Developer Interview and what could be the probable Java Developer Interview Questions, every interview is different, and the scope of a job is different too. Keeping this in mind, we have designed the most common Java Developer Interview Questions and answers to help you get success in your interview.

Below are the 10 important 2023 Java Developer Interview Questions and Answers that are frequently asked in an interview. These questions are divided into parts are as follows:

Part 1 –Java Developer Interview Questions (Basic)

This first part covers basic Interview Questions and Answers

1. What is the difference between JVM, JDK, and JRE?

JDK is the superset here, which engulfs and contains JRE and is really a framework where compilation and documentation of Java programs are performed into packages.

2. Explain the ‘Platform independence ‘properties of java.

The very essence of the platform independence of Java lies in the way the code is stored, parsed and compiled – bytecode. Since these bytecodes run on any system irrespective of the underlying operating system, Java truly is a platform-independent programming language.

3. Differentiate between heap and stack memory in Java on the grounds of the use of the memory, the basic features, and the validity.


Memory uses

Lifetime and validity of the use Stack memory, which is dedicated to a particular thread, is only actively useable until the time that the thread lasts. The heap can be used globally, and hence its useable active lifetime is the entire time during the program execution.

Overall use Whenever an object is created for a particular thread, the local primitive and reference variables are associated with the object. These very variables are stored in the stack memory.

4. Explain the meaning and the use of the static keyword in java.

These are the basic Java Developer Interview Questions asked in an interview. Static is a commonly used keyword, which is associated with variables, methods, and nested classes in java. The real use of the keyword is for memory management of these constructs, as detailed next.

1. Static variables in java: When a variable is created as static in Java, it gets memory allocated to it only once, and that too when the class in which it is declared gets loaded. This is why these variables are used to declare properties of other variables shared amongst them and do not change.

2. Static methods in java: Methods in java can also be declared as static, and as such, these are then connected to the entire class without being limited to any single object of the class. Invocation of such a method declared as static does not require the instance of the class, and these methods can work on the static data of the class and can even make updates to the value of static constants and variables.

Part 2 –Java Developer Interview Questions (Advanced) 5. Explain the use of the ‘this’ keyword in java

The ‘this’ keyword is widely observed in all java codes and scripts, and it, in fact, is a reference variable that programmers use to refer to the current object in use. The method of the current class can be suitable invoked using the ‘this’ keyword. The java compiler implicitly adds the keyword to the method if you do not specify the same.

6. Explain what pointers are and elaborate if they can be used in java?

Pointers are, however, not supported or available within Java, as they can get quite complex with the segregation of the stack and the heap memory in java.

Let us move to the next Java Developer Interview Questions.

7. Explain the concept of object cloning and how is this used in java?

The clone() methods of the object class implement object cloning and require the implementation of the java.lang.A cloneable interface of the object class whose clone you are trying to create. Devoid of this, a CloneNotSupportedException is generated by the clone() method of the class.

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Top 8 Spring Batch Interview Questions And Answer Updated For 2023

Introduction to Spring Batch Interview Questions

In this article we are going to see about the interview questions on the spring batch, it is one of the main parts of the spring framework which can be asked by the interview. In this whole article, we will see the different types of questions that could be asked, and how to answer those questions. We will have answers attached with each question for better understanding and helps you to get prepare for your next interview.

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Part 1 – Spring Batch Interview Questions (Basic)

This first part covers basic interview questions and answers:

Q1. What is spring batch?


This is the basic question which could be asked, so spring batch is a framework which helps us to process the number of task together as the batch. F in your application has the bulk of data and you want to process this data with good speed and precision then we can go for the spring batch. With the help of this, we can execute our day-to-day activity in the form of batch.

Q2. Where we can use batch processing in general?


Batch processing is mainly used for large-scale application which contains so many data to be processed each day. Mainly it is used with the enterprise application where we have to deal with a large set of data to be processed every day, so it could be the best choice there.

Q3. What is the architecture of spring batch?


Let’s see the internal working of it, inside its architecture we have so many different components which help us to execute our job using batch.

We have a job schedular who is responsible for insatiate the job launcher.

The job launcher as the name suggests will execute the job we want to perform.

Then the job is responsible to perform the step.

So in order to get the input data we have IteamReadder which will be used by the step to get the input data.

Once we got the input now we have to process this input, this is done with the help of ItemProcesser, which will respond to process the input data in step.

Now we have ItemWriter which is responsible to output the processed input data.

So above mentioned is the basic flow of the spring batch, which takes a job as the input and returns the response in return.

Q4. What is job?


Q5. How do spring batch works explain each of the components working in detail?


Inside the spring batch, we have so many different parts which help us to execute the job and get our task done.

Given below are the different parts of the spring batch:

Step: Job divide into steps and this step is responsible to perform the specific job. It is also responsible to manage the dependencies between the jobs, if we have a job that is executed with some parameters then this can be extracted with the help of step as output.

ItemReader: It is an interface that provides us the data. Its implementations would be stateful and we can use them to call multiple times, whenever we call read(). This will always return us the different values, and in the end, it will return us null when all of the input parameters are exhausted.

ItemProcessor: This is also an interface that is used for item transformation, to this we provide the item as the input and in return it will give us the extension point. Keep in mind if it returns null then it means the item will not be processed.

ItemStreamWriter: This is also an interface that is used for output operations. If any class implementing this interface then it will be responsible to serialize the objects. The class which is implementing this interface has the privilege to decide, which technology they want to use and about the configuration also.

Part 2 – Spring Batch Interview Questions (Advanced) Q6. Dependency required in spring boot application?


Q7. What is the difference between tasklet, step, and chunk?


In the spring batch framework, we read the input and process this input based on our business logic. After this, we aggregate the data output and write it somewhere like file or database, for the destination. So this is the most general way to perform steps in the spring batch framework. On the other hand, we have Tasklet which is an interface, which is responsible to perform only a single task. This single task can be anything like, delete of resource, clean up the task or setting up any configuration which is required by the step before or after the execution of the step.

Q8. What is lister in spring batch?


With the help of listeners, we can intercept the execution of the job or step. In short, it allows the user to perform some specific functionality. It works in the same way like they work in general.

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Elasticsearch Interview Questions And Answers {Updated For 2023}

Elasticsearch Interview Questions and Answers

Elasticsearch is a search and analytics engine that enables data storage, searching, and analysis. It is a highly sought-after skill in IT professionals and comes with a lucrative salary. On average, Elasticsearch software engineers earn $106,208 annually, while senior engineers can make anywhere from $100,000 to $171,000, and top Elasticsearch data engineers can earn up to $207,000 per year.

Elasticsearch interview questions are designed to test a candidate’s understanding of Elasticsearch and ability to use it effectively to meet business requirements. Interview questions may cover topics such as data indexing, querying, scalability, high availability, and performance optimization. Preparing for these interviews with a good set of Elasticsearch interview questions can help candidates improve their knowledge and answer confidently.

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Table of Contents


Elasticsearch Interview Questions (Basic)

Elasticsearch Interview Questions (Advanced)

Final Thoughts

Frequently Asked Questions (FAQs)

Recommended Articles

Key Highlights

Elasticsearch interview questions prepare candidates to face technical questions about Elasticsearch.

Being a highly sought-after skill for IT professionals, the pay scale for Elasticsearch developers is excellent.

It is an open-source search engine based on the Apache Lucene library used in various types of analysis.

Elasticsearch interview questions include nodes, clusters, documents, and indexes.

Elasticsearch Interview Questions (Basic) 1. What is Elasticsearch? What are its key features?

Full-text search capabilities

Real-time data processing and analytics

Horizontal scalability

Near real-time indexing and search results

2. What is a cluster in Elasticsearch, and how does it work?

Answer: A cluster in Elasticsearch is a collection of one or more nodes (servers) that work together to store and process data. Each node in the cluster has a unique name and is responsible for a subset of the data. The nodes communicate with each other to synchronize data and ensure high availability and scalability.

3. Does Elasticsearch store data in memory or disk?

Answer: Elasticsearch stores data both in memory and on disk. When data indexes, it is initially stored in memory for fast access. Once the memory limit reaches, data flushes to the disk. Elasticsearch combines in-memory caching and disk-based storage to provide quick and efficient search and analytics capabilities while providing durability and fault tolerance.

4. What kind of data does Elasticsearch store?


Elasticsearch is a versatile search and analytics engine that can store a wide range of data types-

Text data: full-text search strings, document content, and log entries.

Numeric data: integers, floats, and geospatial coordinates.

Date and time data: timestamps and durations.

Structured data: JSON documents, XML files, and CSV files.

Binary data: images, audio, and video files.

Geospatial data: points, lines, and polygons for performing location-based searches and analysis.

Graph data: social network graphs for performing graph-based searches and analysis.

Metrics and performance data: server performance metrics and application performance metrics.

Business data: customer data, product information, and financial data.

5. What are an index and an inverted index in Elasticsearch?



In Elasticsearch, an index is similar to a database in the traditional sense.

An index is a collection of documents that allow efficient searching and retrieval.

Each document in an index contains one or more fields that can store data.

The fields can be of different data types, such as text, numbers, dates, etc.

An index can contain multiple documents, but using a single type per index is recommended for better organization.

Inverted Index

An inverted index is a data structure used by Elasticsearch to look up documents based on the terms within them quickly.

It’s called an inverted index because it’s essentially a “flipped” version of the original data, where the terms become the keys and the document IDs become the values.

On document indexing, Elasticsearch tokenizes the text into terms and creates an inverted index for each term, which points to the documents that contain that term.

The inverted index is highly optimized for searching and provides high-speed access to documents that match a particular query.

6. What is a document in Elasticsearch?


The primary data type that Elasticsearch may store and index is a document.

A document in Elasticsearch is similar to a row in a table in a traditional database.

A document can be any piece of data represented in JSON formats, such as customer data, product information, or log entries.

Each document has a unique ID within an index.

A document consists of one or more fields, which can be of different data types, such as text, numbers, dates, and more.

Elasticsearch can store and manage large numbers of documents, with each index potentially containing millions of documents.

Addition, updation, and deletion of documents occur in real time without affecting other documents in the index.

Elasticsearch provides robust APIs for working with documents, including indexing, searching, filtering, and aggregating.

7. How does Elasticsearch handle data replication and sharding?

Answer: Elasticsearch handles data replication and sharding by distributing the data across multiple nodes in the cluster. Each index splits into multiple shards, and each shard replicates to a configurable number of nodes to ensure high availability and fault tolerance.

8. Explain the difference between a document and a shard in Elasticsearch?

Answer: In Elasticsearch, a document is the basic unit of data that is indexable and searchable. It consists of a set of fields (key-value pairs) that contain the actual data. A shard is a single unit of an index containing a subset of the data and metadata for the index. Multiple shards can distribute the load across the nodes in the cluster.

Elasticsearch Interview Questions (Advanced) 9. How does Elasticsearch handle query operations?

Answer: Elasticsearch uses a query language called the Query DSL (Domain Specific Language) to search and retrieve data from its indices. The Query DSL provides a range of powerful search and filtering capabilities, including full-text search, geospatial search, and more.

10. What is the process of creating an index in Elasticsearch?

Answer: To create an index in Elasticsearch, you typically use the Create Index API. This involves specifying the name of the index, along with any relevant settings and mappings that define the structure and behavior of the index.

11. What is the primary use of Elasticsearch?

Full-text search: It can search large volumes of text-based data quickly and efficiently.

Log analytics: It can store and analyze logs and machine-generated data, allowing users to gain insights into system performance, security, and other metrics.

Business analytics: It allows users to gain insights into business trends and performance.

Website search: It can power search functionality on websites and e-commerce platforms, providing users with fast and accurate search results.

Data exploration: It can explore and analyze large volumes of data, allowing users to visualize and understand patterns and trends in their data.

Geospatial search: It allows users to perform location-based searches and analyses.

Application performance monitoring: It allows users to troubleshoot issues and optimize system performance by analyzing performing metrics from applications.

12. How can one tune Elasticsearch for better performance?

Answer: There are several strategies you can use to improve Elasticsearch performance, such as-

Scaling the cluster horizontally by adding more nodes

Optimizing data storage and indexing settings

Using appropriate hardware and infrastructure

Reducing the number of shards per node

Tuning garbage collection settings

Using caching mechanisms like Doc Values and Field Data

Using search profiling and query optimization techniques

 13. What is the difference between Elasticsearch and Apache Solr?

Answer: Elasticsearch and Apache Solr are open-source search engines built on top of Apache Lucene but have some key differences.

Elasticsearch is more scalable and flexible, with a more straightforward and intuitive API.

14. How does Elasticsearch handle security and access control?

Answer: Elasticsearch provides a range of security features to help secure data, including:

Transport-level encryption to secure communication between nodes

Access control mechanisms to restrict access to indices and actions

Role-based access control to define permissions for specific users and groups

Audit logging to track and monitor user activity

Integration with external authentication and authorization providers

15. What is a Node in Elasticsearch?


In Elasticsearch, a node is a single instance of Elasticsearch running on a server.

A node is the smallest unit of an Elasticsearch cluster.

Each node contains a complete copy of the index or indices it is responsible for.

A node can perform different roles, such as master-eligible, data, ingest, or coordinating node.

A master-eligible node coordinates the cluster and maintains cluster-level metadata.

A data node stores the index data and performs indexing and searching operations.

An ingest node performs pre-processing on documents before indexing.

A coordinating node acts as a traffic cop, routing requests to the appropriate nodes and coordinating responses.

Elasticsearch provides several APIs for managing nodes, such as adding or removing nodes, monitoring node health, and performing rolling upgrades.

16. What is Schema in Elasticsearch?


In Elasticsearch, a schema defines the fields and data types that index and search documents within an index.

A schema is also known as a mapping in Elasticsearch.

A schema defines the fields in a document and the data types and settings for those fields.

Elasticsearch uses a dynamic schema by default, meaning that it automatically detects the fields and data types in incoming documents and creates mappings on the fly.

However, a dynamic schema can lead to mapping conflicts and unexpected behaviors, so explicitly defining a schema is often recommended.

JSON or YAML can define a schema.

Elasticsearch’s REST API or the Elasticsearch Python client can create the schema.

Final Thoughts

Elasticsearch is now a crucial tool for searching and analyzing vast amounts of data. Businesses seek competent Elasticsearch developers who can provide effective and dependable solutions. One can improve your chances of getting hired by practicing using these Elasticsearch interview questions and showcasing one’s proficiency in Elasticsearch.

Frequently Asked Questions (FAQs)

Answer: Elasticsearch has many uses-

Full-text search

Log Analytics

Business Analytics

Website search

Data exploration

Geospatial search

Machine learning

Application performance monitoring

2. Is Elasticsearch SQL or NoSQL?

Answer: Elasticsearch is a NoSQL database, as it does not use a traditional relational database schema or SQL language for querying data.

3. Why use Elasticsearch instead of SQL?

Answer: Elasticsearch provides fast and efficient search and analytics capabilities for unstructured data, while SQL databases work for structured data. Elasticsearch also offers scalability, fault tolerance, and real-time analytics capabilities that may be difficult to achieve with a traditional SQL database.

4. Why is Elasticsearch faster than SQL?

Answer: Elasticsearch is faster than SQL databases for search and analytics of unstructured data because it uses inverted indexes and a distributed search architecture to quickly search and retrieve data from large volumes of data across multiple nodes.

5. Which ways are used for searching in Elasticsearch?

Answer: Elasticsearch provides a variety of ways to search data, including:

Full-text search: searches for exact or partial matches of text-based data.

Term search: searches for exact matches of a term or terms in the data.

Range search: searches for data within a specified numeric or date range.

Geospatial search: searches for data based on geographic location.

Fuzzy search: searches for data similar or related to a specified term or phrase.

Boolean search: combines multiple search criteria using Boolean logic to retrieve data that meets specific criteria.

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Top 10 Appium Interview Questions And Answers In 2023

Appium Interview Questions And Answers

Appium interview questions help test one’s knowledge in the domain before appearing for an actual interview. It involves questions of varying difficulties on Appium, an open-source testing automation framework used for hybrid, native, and mobile web applications.

It is important to note that Appium is one of the most desired skills among mobile test automation engineers and QA engineers. As such, the average base salary of a mobile test automation engineer knowing Appium, is around $98,141 per year.

Appium supports iOS, Android, and Windows with the help of the WebDriver protocol. Appium can automate any mobile application in any language which uses any test framework. The APIs and databases can also integrate with this tool.

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Table of Contents


Appium Interview Questions (Basic)

Appium Interview Questions (Advanced)

Final Thoughts

Frequently Asked Questions (FAQs)

Recommended Articles

Key Highlights

Appium interview questions are essential for preparing for mobile app testing job interviews.

These questions cover various topics related to Appium, such as its architecture, working principles, and various components.

Knowing the answers to common Appium interview questions can help one showcase their expertise and experience in mobile app testing, which can increase chances of landing a job in this field.

Appium interview questions can also help identify gaps in your knowledge and skills related to mobile app testing, which the candidate can work on to improve one’s proficiency.

Appium interview questions can cover different types of testing scenarios, such as functional testing, performance testing, and UI testing.

Part 1 – Appium Interview Questions (Basic) Q1. What is Appium, and what is it used for?


Appium is an open-source automation testing framework that allows the testing of mobile applications.

It also supports different third-party tools and other applications to integrate and perform various operations.

It is an open-source tool and is available for free, and is hosted on the Github repository.

Test suites or cases can be written and run using any language or framework irrespective of the OS or platform support, providing greater interoperability.

Q2. What are the different types of apps?


Different types of apps include

Native apps: Native apps are the ones that can be built using either iOS or Android SDK or development kits.

Hybrid apps: Hybrid Apps are a kind of common APIs that can be used to establish any interaction or communication with the web elements in a generic form.

Mobile apps: Mobile apps are the ones that are installed on mobile or portable devices, and those can be accessed using mobile browsers.


It is used for cross-platform mobile applications and testing.

It is open-source and free to use.

Any programming language is compatible with it.

It mainly supports Selenium WebDriver.

It does not have a dependency on mobile devices.

Both testing on emulators and actual mobile devices are supported.

It has ample developer community support.

Q4. What are the limitations of using Appium?


Working with the mobile testing application requires a minimum Android version of 4.2 or above.

It has limitations in supporting the testing of hybrid apps.

The functionality of adding an inspector feature is not available in the Windows operating system.

It is not easier to perform testing on larger applications in the early stages. One has to implement slowly in the later stages by gradually writing test cases for the smaller modules.

Q5. What is the architecture of Appium? What are its design features and functionalities?


The architecture of the Appium includes different components such as HTTP Server, Node platform, etc.

The HTTP server for the Appium will be on top of the chúng tôi platform.

Node.js handles the iOS and Android sessions using the Web Driver wire protocol (JSON).

Different client libraries are written using programming languages such as JavaScript, PHP, Python, Ruby, C#, etc.

The Appium servers establish the connections using the REST APIs from the clients. The automation testing will be carried out in a session.

The responses will be in the form of HTTP formats.

Part 2 – Appium Interview Questions (Advanced) Q6. What are the methods for carrying out tests on Appium?


Appium allows for mobile app testing across various platforms using different programming languages. Methods for carrying out tests in Appium include-

Record and playback: Record a test script by performing actions on the mobile app and then play it back to ensure it functions correctly.

Writing test scripts: Write test scripts using programming languages like Java, Python, Ruby, or JavaScript.

Integration with testing frameworks: Integrate Appium with popular testing frameworks like TestNG, JUnit, or NUnit.

Use of Appium GUI: Use the Appium GUI to inspect elements of the mobile app, set up desired capabilities, and run test scripts.

Execution on a cloud-based platform: Use cloud-based platforms like Sauce Labs, BrowserStack, or AWS Device Farm to execute Appium tests on various mobile devices and operating systems.

Parallel execution: Use Appium to run multiple tests in parallel, which can save time and increase efficiency.

Q7. What are the different testing frameworks supported by Appium?


TestNG: TestNG is a popular testing framework for Java that allows for powerful testing features such as grouping, prioritizing, and parallel execution.

JUnit: JUnit is another popular testing framework for Java that allows for creating simple and readable tests.

NUnit: NUnit is a testing framework for .NET languages such as C# and chúng tôi that provides a range of testing features, such as parameterized tests, test fixtures, and test suites.

XCTest: XCTest is a testing framework for iOS and macOS apps that provides powerful testing features such as asynchronous testing, UI testing, and performance testing.

Robot Framework: Robot Framework is a testing framework for Python that supports a range of testing libraries and allows for the creation of high-level test cases.

Mocha: Mocha is a testing framework for chúng tôi that provides a range of testing features, such as asynchronous testing and test timeouts.

Jasmine: Jasmine is a testing framework for JavaScript that provides a range of testing features, such as behavior-driven development and asynchronous testing.

Q8. What are the requirements for writing Appium test cases?


Mobile device and Appium server: A mobile device or emulator to run the mobile app and an Appium server installed on the system.

Appium client library: The Appium client library allows to write test cases.

Desired Capabilities: Define desired capabilities, such as the platform name, device name, and app package name, to run the test on a specific mobile device.

Element locators: Identify unique element locators like IDs or XPaths to interact with mobile app elements.

Test scenarios: Define test scenarios that cover different features and functions of the mobile app and ensure they are executable.

Test data: Prepare test data, such as usernames and passwords, to simulate real-world usage of the mobile app.

Assertions: Define assertions to verify that the mobile app is functioning correctly and meeting the requirements.

Q9. What is the Appium Inspector?


The Appium inspector is similar to the Selenium Web Driver plugin, which gives recording and playback support features.

It supports the inspection of native or hybrid apps by inspecting the DOM and its performance concerning the application.

Q10. What are the different prerequisites for setting up Appium?


To set up the Appium test environment, one requires-

Android SDK or XCode for iOS.

Java Development Kit.


Test NG Framework.

Selenium Web Driver.

Selenium Server Jars or Libraries.

Final Thoughts

Appium is a popular open-source tool used for mobile app automation testing. As more and more organizations adopt mobile app development, the demand for skilled Appium developers is on the rise. As a result, preparing for an Appium interview is essential to familiarize oneself with the tool and its features. With proper preparation and practice, one can ace their Appium interview and secure a rewarding mobile app automation testing career.

Frequently Asked Questions (FAQs)

1. What is the most difficult scenario to test with Appium?

2. What tests are suitable for Appium?

Answer: Appium is suitable for different types of tests, such as functional testing, regression testing, performance testing, and UI testing.

3. Which language Appium does not support?

Answer: Appium supports many programming languages, such as Java, Python, Ruby, JavaScript, and C#. Currently, Appium does not support Perl.

4. What is Appium’s most considerable limitation?

Answer: Appium’s most considerable limitation is that it cannot test apps that use native libraries or system apps. It can only test apps with a WebView or accessed through the Android or iOS accessibility frameworks.

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