Top DXC Technology Interview Questions With Answers (2022)

DXC Technology is among the top companies across the globe where most of the candidates wish to work. An opportunity with DXC Technology is nothing short of a dream job for many. If you are among those, then you must know about the top interview questions frequently asked during DXC Technology interviews. Also, you must hold the desired educational qualifications for the job role you are applying for.

DXC Technology Interview Process

In order to be considered for a position at DXC Technology, candidates must pass multiple rounds of interviews during the recruitment process, including a written test, aptitude round, objective and technical round, and the final round. However, before you begin preparing for the various DXC Technology technical and HR rounds, it is helpful to check through the qualification criteria to make sure that you meet the requirements necessary for the job openings for software engineers that you are applying for.

When conducting job interviews, like every company, DXC Technology also pays particular attention to key aspects of a candidate's background, experience, and technical abilities in order to determine whether or not he/she has the appropriate set of programming skills to fulfill the requirements of the position. As a result, many companies, such as DXC Technology, have adopted a set of questions designed to assist in the evaluation process. You will be asked logical reasoning questions during your HR round. Here are the interview rounds that are conducted by DXC Technology:

1. Screening round

2. Technical round (negative marking)

3. Technical interview

4. Human resource interview

DCX Technical Interview Questions

Here are some of the frequently asked technical questions during DXC Technology interviews. Try to go through all these technical interview questions for better preparation in order to shine as an ideal candidate or an excellent candidate during the DXC recruitment process.

1. What is cloud-based technology? 

Cloud computing technology allows individuals to access storage, data, software, and servers via their internet-connected devices like personal computers, smartphones, tablets, and wearables. The data that is stored and processed by cloud computing providers is done so in a place that is geographically remote from the customers who utilize the services.

2. What is a database management system and its types?

There are three primary categories of DBMS data models: relational, network, and hierarchical. Relational models are among the most common. The data is structured into tables that are completely logically independent of one another in relational data architecture. The network data model displays all elements in graphical representations and organizes them. The data is arranged in a form that resembles a tree when using a hierarchical data model.

3. What are real-time operating system examples?

The following are some examples of real-time operating systems: airline traffic control systems, command control systems, flight booking systems, pacemakers, network multimedia applications, and robots. These operating systems provide assurance that essential responsibilities will be finished within a certain time frame.

4. What is a wide area network?

A collection of local area networks (LANs) or even other networks that are able to communicate with one another is an example of a wide area network (WAN), which is its most basic definition. In its most basic form, a wide area network (WAN) is a network that connects to other public networks. Internet is the most extensive WAN in the world.

5. How do you make a class private?

Only members of the same class are able to access data marked with the private access modifier. Outer classes and interfaces cannot have private attributes assigned to them by us. To construct a fully encapsulated class in Java, the optimum use of private keywords is to make all of the data members of such a class private. This is the most effective use of private keywords.

6. What is the getter method in Python?

Getters help connect the private attributes or obtain the value of said private attributes, whereas setters are really the methods that assist with changing or modifying the values of the private attributes. As the name suggests, getters form the method that enables connecting the private characteristics or getting the value of the private attributes.

7. What is dynamic memory and how does it work?

The technique of assigning memory space while the program is being executed or while it is running is referred to as dynamic memory allocation. There are many reasons and benefits to dynamically allocating memory.

8. What are the two types of memory locations?

Memory is something that is utilized by not only the operating system of a computer but also its hardware and software. Primary and secondary memories are the two varieties of storage that are technically available in computers.

9. Why is main memory management important?

Memory management makes it possible for the computer system to carry out a number of different processes all at once. Memory management involves allocating the same space in memory to multiple processes at the same time. As a result, we are able to complete a variety of tasks within the confines of a given memory area.

10. What is the Java Bean class in Java?

JavaBean is a custom-crafted Java class that is written in the core Java programming language and is coded in accordance with the JavaBeans Application Programming Interface (API) requirements. The following is a list of distinguishing features that set a JavaBean apart from other Java classes: It has a default function Object() { [native code] } that does not require any arguments to be sent in.

11. What is compile time polymorphism in C++?

The ability to take on a variety of shapes and behaviors at once is referred to as polymorphism and it is an essential component of object-oriented programming. In C++, this is broken into two distinct categories: compile time polymorphism and runtime polymorphism. Function overloading and operator overloading are two examples of compile-time polymorphism in programming.

12. Give an example of static polymorphism.

The use of different versions of the same method is an instance of static polymorphism.

13. What are the differences between object and class?

A class is responsible for defining object properties, which may include a valid range of values and a default value. In addition to this, the behavior of an object is described by a class. A member of a class is referred to as an instance. An object is one of these instances. A state is a configuration of an object's properties in which all of those properties have values that are either explicitly defined by you or that are determined by the default configuration for the object.

14. What are the three types of VPNs?

Remote access, intranet-based site-to-site connections, and extranet-based site-to-site connections are the three primary classifications that can be used for virtual private networks (VPNs). Users on an individual basis are more likely to come across virtual private networks (VPNs) that provide remote access, whereas large corporations typically construct site-to-site VPNs for usage in their corporate operations.

15. What are the seven layers of the OSI model?

The OSI reference model divides the communication that takes place between different computer systems into seven distinct abstraction levels, which are as follows:

1st layer - Physical

2nd layer - Data Link

3rd layer - Network

4th layer - Transport

5th layer - Session

6th layer - Presentation

7th layer - Application

16. Python's built-in functions are referred to as modules. Explain in brief.

A compilation of Python commands and definitions that are contained within a single file is referred to as a Python module. You have the ability to make function and class declarations, as well as pointer variable declarations, within a module. Also, a module can contain executable code. It is much simpler to comprehend and make use of code that has been modularized and partitioned into several sections. In addition to that, the code is arranged in a manner that is consistent with logic.

17. Is Django better than Flask?

Django's increased popularity can be attributed to the fact that it comes pre-packaged with a substantial amount of functionality, which simplifies the development process for more complex projects. Django is ideally suited for use on larger projects that require the incorporation of a significant number of functionalities. For some applications, the capabilities may be excessively powerful for what they need to do.

If you're just getting started with web development, Flask is an excellent platform on which to learn the ropes. There is a number of websites out there that were developed with Flask. And, while they get a lot of traffic, it's not quite as much as websites that were built with Django. You should utilize Flask if you desire exact control, even though a developer working with Django must rely on a big community to generate one-of-a-kind websites. 

18. What are functions in the Python programming language?

In Python, the term 'function' refers to a block of code that is organized and can be reused to carry out a single operation or a series of operations that are related to each other. Functions are essential for improving an application's modularity, especially when it comes to programs that recycle a significant portion of their code. The programming language Python includes a variety of predefined functions, such as print (). Having said that, you are also given the ability to build user-defined functions using it.

19. What are Pandas?

Python's open-source Pandas module provides users with access to a vast assortment of data structures that can be used in conjunction with data-centric tasks. Pandas, with their nifty features, fit in perfectly with every job of data processing, whether it be in academia or in the resolution of difficult problems in business. Pandas are among the most crucial tools to have a firm grasp on because of their ability to deal with a wide variety of file types.

20. How do memory allocation and management work in Python?

Python's memory management is accomplished through the utilization of a private heap that stores the entire data and object structure. The interpreter is in charge of managing the heap and the programmer doesn't even have any access to the heap at any point. The Python memory manager is responsible for managing and allocating all of the memory. In addition to this, a garbage collector is already incorporated into the system, which recycles old data and makes RAM available for use as heap space.

21. What is meant by data abstraction in the Python programming language?

Hiding extraneous data while exposing or executing only the data that is required in order to complete a task is one definition of abstraction. Hiding the core processes of a system and revealing only its usefulness is one definition of abstraction that may be found in the technical literature. Encapsulation is a tool that can be utilized in Python to help achieve an abstract method.

22. What is a control flow statement and how does one use one?

In most cases, the first line of a Python program is where the execution of the program begins. From that point on, it does only one pass through each statement and as soon as it finishes processing the final statement, it transacts the program. On the other hand, there will be instances when we will want to go through the code in a way that is a little bit more circuitous. Control flow statements enable us to disrupt the natural progression of a program's execution so that we can shape it according to our preferences.

23. What is 'with the statement' in Python?

By encapsulating common preparation and cleanup chores, the statement in Python guarantees that cleanup code is executed while interacting with unmanaged resources. This is accomplished by grouping together these tasks. It is possible to use it to open a file, perform some action, and then have the file automatically closed after it has completed the task. It is possible to use it to open a connection to a database, perform some processing, and then have the connection automatically closed. This would ensure that resources would be closed and made available for other users. Regardless of whether or not an exception is thrown, it will clean up the resources. This statement is very similar to the using statement in the C# programming language.

Imagine if you wrote some code in such a try block and then in the final block, you closed any resources that were being used. The use of 'with the statement' is comparable to adding syntactic sugar to that.

24. Define 'self' in Python.

The term 'self' refers to an object or an instance of a class program in the programming language Python. Notably, Python implicitly treats this self as the first parameter, even though it is explicitly regarded as the first parameter. In addition, using the self keyword in Python programming allows us access to all of the methods and properties that are associated with the classes.

In the context of the init method, the term 'self' refers to the instance of the object that has been created most recently. Whereas, in the case of other methods, the term 'self' refers to the object that was responsible for calling the method in question.

25. What are the steps that need to be taken to access sessions in flask?

The most important benefit of using a session is that it will enable us to remember information from one request to the next. A signed cookie is what's used in a flask to force the user to see the contents of the session and make changes to them. In addition, the user is only able to make changes to the session while the secret key identified as Flask.secret is present.

26. What is meant by the phrase 'dogpile effect'?

This is referred to as the occurrence of a circumstance that takes place when the cache becomes outdated and the websites are simultaneously bombarded with an increased number of requests from the client. The utilization of a semaphore lock is one method that can be utilized to prevent the dogpile effect. If the value in the specific system is allowed to become invalid, then the particular process will, first and foremost, be given the lock and will start the process of producing a new value.

27. What are constructors in Python?

The function Object() { [native code] } is a specific kind of method that contains a block of code to initialize the state of instance students in the class program. Only after a new instance of the object is generated is the function Object() { [native code] } of that object invoked. It is also used to check if there are sufficient resources for objects to carry out a certain task in a given environment.

28. What is encapsulation?

Object-oriented programming places a significant emphasis on the practice of encapsulation as one of its most vital components. Encapsulation refers to the process of binding or wrapping together, within a single cell, a collection of data and/or code. The primary purpose of encapsulation in the Python programming language is to restrict access to different functions and variables.

29. What are runtime errors in the Python programming language?

There are, in fact, errors that occur during the runtime of Python programs. For instance, if you're duck typing and items appear like a duck, it will be regarded as a duck, even if it is only a flag or a stamp. This is true even if you are not actually typing with a duck. In this scenario, the code would result in a problem during the running of the program. To give one illustration: If you were to print Hackr io, you would get a runtime error due to the absence of the requisite parenthesis, which print insists on having ( ).

30. Explain the difference between Python contrasting the range and xrange?

Both range and xrange are exactly the same when it comes to their functional capabilities. Both of these approaches make it possible to produce a list of integers. The primary distinction between the two is that whereas range returns a Python list objecta and xrange returns an xrange object. This is the primary difference between the two.

The runtime generation of a static list is not something that can be accomplished with Xrange as it can with range. On the other hand, it fulfills the requirements while simultaneously producing values through the application of a specific strategy known as yielding. It is put to work in conjunction with something called generators, which are types of objects.

If you have a really large range for which you need to build a list, then the xrange function is the one that you should use. This is particularly important to keep in mind when dealing with situations that involve a device that is memory-sensitive like a smartphone.

The range consumes a significant amount of memory dynamic. When it is used, substantially more memory is required, which can become a significant burden when the memory requirement is enormous. As a consequence of this, while building an array of integers to fulfill the requirements, there is a possibility that it could cause a memory error, which will ultimately result in the program becoming unresponsive.

31. Differentiate between NumPy and SciPy?

Traditionally, NumPy only consists of the array data type and the simplest fundamental operations, also including indexing, reshaping, as well as sorting arrays. This is because arrays are the fundamental unit of data storage in Python. SciPy serves as the host for all of the numerical code.

Because compatibility is among the essential goals that NumPy strives to achieve, the library makes every effort to keep all of the functionality that was supported by either of its two forerunners. As a result, the NumPy library includes some linear algebra functions, irrespective of the fact that any of these should more properly be found in the SciPy library.

In addition to the numerous additional numerical types of methods that are accessible in NumPy, SciPy features complete implementations of the linear algebra modules that are made available by that package.

32. Explain the process of compilation and linking?

Compiling and linking are two processes that are utilized in Python. These two processes ensure that new extensions can be compiled without producing any errors. The linking process does not begin until the compilation has been finished for good.

In terms of dynamic loading, the procedure of compilation, as well as linking, is determined by the style that is supplied with the relevant system. This is the case regardless of whether or not dynamic loading is being used. The Python interpreter is utilized since it allows for dynamic loading of configuration setup files as well as the ability to rebuild the interpreter.

33. What is a map() function?

The map() method takes an input function and applies that function repeatedly to the items that are contained in an iterable. After that, it will provide you with a list of the results. The value that is returned by the map() method may then be passed on to other functions, such as the list() function and the set() function ().

In most cases, the specified function will be the first parameter and the iterable will be available as the second argument when calling a function with the map() syntax. In the event that the function accepts more than one argument, a number of tables will be displayed.

34. What does the term 'tuple' mean when referring to Python?

Tuples refer to a sort of data collection that is already incorporated into some systems. It is possible for us to store values in a particular order; thanks to it. Since it is immutable, any changes that are made will not be reflected in the data that was initially stored. To build a tuple, it makes use of brackets with a round shape () rather than square brackets with a square shape []. We are unable to eliminate any of the elements, but we can find them in the tuple. We could use indexing to get elements. By employing negative indexing, it is also possible to travel through the items in the order opposite to that in which they are listed. Tuple is compatible with a wide variety of methods, including max(), sum(), sorted(), and Len(), among others.

35. What is operator in the context of Python?

An operator is a specific symbol that, when applied to a set of values, generates an output as a result of the application of the operator. An operator is someone who works on operands. The term 'operand' refers to either a numeric literal or a variable that stores some value. Unary, binary, and ternary are the three possible forms that operators can have. An operator that requires only one operand is regarded as a unary operator, while an operator that requires two operands is known as just a binary operator and an operator that requires three operands is known as a ternary operator.

36. What is a Python decorator?

Python's decorators form a very powerful and helpful tool that allows programmers to add functionality to code that already exists. Decorators are a part of Python's standard library. Metaprogramming is another name for this technique, which describes when one section of a program attempts to modify another part of the same program while it is still being compiled. It gives the user the ability to wrap another function in order to expand the behavior of the function that is being wrapped without permanently altering the behavior of the function that is being wrapped.

37. What is namespace in Python?

The namespace is a fundamental concept for structuring and organizing the code, which is particularly effective in large projects when there is more code to manage. However, if you are new to programming, it might be a little challenging for you to get your head around the notion at first. Because of this, we made an effort to simplify the concept of namespaces as much as possible. A straightforward management logical structure for the names utilized within a program is referred to as a namespace. This assures that the names are distinct from one another and that there won't be any conflicts as a result.

In addition, Python uses dictionaries to implement namespaces. These dictionaries then retain a name-to-object mapping in which the names serve as keys and the objects themselves serve as values.

38. What does slicing mean in the Python programming language?

A process known as slicing is utilized in order to choose a range of items from sequence types such as lists, tuples, and strings. Using the slice technique to obtain items from a range is an effective strategy that is also very easy to use. It is necessary to include a colon (:) character, which is used to separate the start index from the end index of the field. Slicing can be used to retrieve elements if the data structure being used is a list or a tuple. By supplying an index, we are able to obtain elements; however, this only results in the retrieval of a single element. By utilizing slicing, on the other hand, we are able to obtain a group of elements.

39. What is meant by the term 'lambda function' when referring to Python?

A function that is defined in Python but doesn't have a name is referred to as an anonymous function. The "def" keyword is used to define the regular functions, whereas the "lambda" function is used to define the anonymous functions. In some contexts, the anonymous functions may alternatively be referred to as lambda functions.

40. What is multiple threading in Python?

The term 'multithreading' often refers to the execution of numerous threads running in parallel with one another. Because of the “Python Global Interpreter Lock”, it is impossible for more than a thread to hold the Python interpreter at any given moment in time. Therefore, context switching is the means through which multithreading can be accomplished in Python. It is not at all the same thing as multiprocessing, which actually involves opening numerous processes simultaneously over multiple threads.

41. What is meant by the term 'Numpy Array'?

A numpy array is a grid of values, each of which is of the same type. And, it is indexed by a tuple of integers that are not negative in value. The rank of an array can be determined by the number of dimensions it contains. A tuple of numbers that gives the size of an array along either dimension makes up an array's shape. The size of an array increases along each dimension.

42. How to use decorators in Python?

Generally speaking, decorators are specified before the function whose appearance they improve. Before we can employ a decorator, we need to first specify the function that it will do. After that, we will compose the function to which it will be applied by merely inserting the decorator function directly atop the function to which it has to be applied.

43. What is slicing operator?

Getting access to specific parts of sequences, including such lists, tuples, and strings, can be accomplished through the use of a method known as slicing. The syntax for slicing is [start:end:step]. [start] and [end]. This step is optional as well and can be skipped if desired. When [start: end] is used, all sequence elements from the beginning of the sequence (inclusive) to the end return 1 element. It indicates that the ith element, counting from the end of the start element or the end element. It has a negative I value. The step can either represent the jump itself or the number of elements that have to be skipped.

44. What is GIL?

Global Interpreter Lock is also known as GIL. This is a mutex that facilitates thread synchronization by preventing deadlocks by restricting access to Python objects. Deadlocks can occur when there is no way to access an object. The GIL helps perform multiple tasks at once (and not parallel computing).

45. What precisely is the PIP?

Python Installer Package is what is meant by the acronym PIP. Its primary purpose is to facilitate the installation of different Python modules. It is an application for the command line that generates a consistent user interface to install numerous Python modules. It searches the internet for the package and then automatically installs it into the working directory without requiring any action on the part of the user.

46. Is it necessary to use indentation when programming in Python for code quality?

The answer is yes. Indentation is necessary when using Python. If you want to get rid of those ridiculous indentation errors, then use tabs instead of single spaces. When writing code in any programming language, indentation is used to make the code more readable for the developers, but when writing code in Python, it is essential to indent the code in a particular order. When writing Python applications, indentation is typically accomplished by the use of 'tabs' by developers.

47. What does slicing mean in the Python programming language?

When attempting to reach the subarray contained within a sequence data type, slicing is the method of choice. It gives us back the information that was obtained from the sequence data type depending on the arguments that we give it. It always returns the very same data type as that which was used as the source.

Sample HR Questions for DXC Technology

Check out these sample HR questions for DXC Technology interviews that are most frequently asked to select freshers and experienced candidates:

48. How would you prepare yourself for dealing with moderate difficulty in programming at DXC Technology?

49. How much will you rate your verbal ability on a scale of 1 to 10?

50. Do you have enough experience with core Java programs, major data structures, and handling network devices as it's key to DXC Technology operations?

51. How will you be able to handle moderate-level issues and bring solutions to issues at DXC Technology?

52. How will you handle stress or minor issues during working hours while changing your programming style if needed at DXC Technology?

53. What do you know about the reusability of code and the top-down approach we use here at DXC Technology?

54. Will you be able to lead a team of programmers under you with access to resources?

55. Do you have technical expertise in structure-oriented programming and tunneling technologies as they are crucial to DXC Technology?

56. What are your favorite programming languages and will you be able to use them at a higher difficulty level when needed for DXC Technology?

57. Tell us about your previous experience and why you want to work for DXC Technology?

58. Will you take the implementation of the dress code seriously here at DXC Technology?

About DXC Technology

DXC Technology is the world's largest independent, end-to-end information technology services organization. The company assists clients in harnessing the potential of innovation in order to thrive on change. DXC Technology is a firm with a market cap of $25 billion that was formed by the merger of CSC and the Enterprise Services company of Hewlett Packard Enterprise.

Further, DXC Technology has a legacy spanning 60 years. During this journey, it has delivered results for thousands of customers including government agencies in more than 70 countries. For the up-on April 1, 2017, CSC (Computer Sciences Corporation) and the Enterprise Services business of Hewlett Packard Enterprises got merged as DXC Technology and guided the world's largest enterprises and government agencies through change cycles successfully.

For developers of today, DXC Technology offers an outstanding working environment, an abundance of resources and a welcoming attitude that is advantageous to both the personal and professional development of employees. Because of the rapid-fire nature of the development environment at DXC Technology, today's younger software engineers can acquire a significant amount of knowledge in a relatively short period of time. DXC Technology makes use of legacy code bases in the provision of its information technology services. Any programmer who is interested in working on fascinating projects that will have a substantial influence on the world would benefit from working for a company like this one because of the opportunities it would provide them.

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