Engaging in projects is excellent way for the students to gain practical experience and knowledge by applying  theoretical knowledge, develop critical skills, and explore their interests. Projects can vary widely depending on the level of education and the subject area.

Final Year Projects in  the Computer Science projects required to be prepared by  the final year students. If you need guidance and project  for Final Year Projects in Computer Science?

we at ASSUREDSOL provides projects to  the final year students and  also provide internship for the merit students .

Students can choose the projects that are aligned with their  academic goals, interests, and based on  resources available. Additionally,we allow  collaborating with classmates .  If you are seeking for the guidance from the  mentors to enhance  impact  and quality of your projects .

you can reach us

Python Interview Questions

Introduction to Python:

Python  is one of the most used  programming languages and is interpreted in the nature thereby providing the flexibility of incorporating dynamic semantics. Python  is a free and open-source language with very  clean and simple syntax. This makes it  very easy for developers to learn python. Python  supports object-oriented programming and is most widely  used to perform general-purpose programming. 

Here is the list of most  commonly asked python interview question and answers:

Python Interview Questions for beginners

1. Describe  Python? What are the advantages of using Python ?

Python is  interpreted, high-level, general-purpose programming language. As a  general-purpose language, it can also be used to build any type of application using  the right tools/libraries. In addition python supports objects, threads, modules,exception,handling,  automatic memory management which help in  modelling the  real-world problems and building applications to resolve these problems.Advantages of Python:

  • Python is  general-purpose programming language which is a simple, easy-to-learn syntax , emphasizes readability and  reduces the cost of program maintenance. The language is also  capable of scripting, completely open-source, and supports all third-party packages encouraging modularities and code reuse.
  • Python is high-level data structures, combined with the dynamic typing and dynamic binding, attracting a huge community of developers for the  Rapid Application Development and deployment.

2. What is meant by dynamically typed language?

Before knowing about  dynamically typed language, we should understand about what is typing . Typing refers to  type-checking in the programming languages. In strongly-typed language, such as Python, “1” + 2 will result in a type error since these languages don’t allow for “type-coercion” .Type-checking can be done stage wise:

  • Static – static Data Types are checked before execution.
  • Dynamic -dynamic  Data Types are checked during execution.

Python is  interpreted language, executes at each statement line and  type-checking is done during execution. Hence, Python is called as Dynamically Typed Language.

3. Describe an Interpreted language?

 Interpreted language executes its statements line by line.  programming Languages like Python,R, Javascript,  PHP, and Ruby are prime examples of the Interpreted languages. Programs written in  interpreted language runs directly from  source code, with no intermediary compilation steps.

4. Explain PEP 8 and why is it considered important?

PEP stands for the  Python Enhancement Proposal.  PEP is an official design documented  providing information to  Python community, or describing a  feature for Python or also  its processes. PEP 8 is especially useful ,since it documents the style guidelines for the Python Code. Apparently contributing to  Python open-source community requires you to follow above style guidelines strictly and sincerely.

5. Scope in the Python?

Every object in the Python functions within a scope. Scope is  block of code where an object in the  Python remains relevant. Name spaces uniquely identify all the  above objects inside a program.These namespaces also have a scope defined  where you could use their objects without using any prefix. A few examples of this scope created during the code execution in Python are :

  • local scope refers to  local objects available in  current function.
  • global scope refers to objects available throughout  code execution since their inception.
  • module-level scope refers to  global objects of current module accessible in  program.
  • An outermost scope refers to all  built-in names callable in  program. The objects  used in this scope are searched at last to find the name referenced.

6. What are the lists and tuples? What is  key difference between the two terms?

Both Lists and Tuples are  sequence data types that allows to   store a collection of objects in the Python. Objects stored in both the sequences can have different data types. Here lists are represented with square brackets ['sara', 6, 10.19], while tuples represented with parantheses ('ansh', 5, 0897).
But the real difference between the two?The key difference between the two is while lists are mutabletuples  are immutable objects. This means that the lists can be modified, appended or sliced on  go but tuples remain constantly  and cannot be modified in any manner. You can run  following example on Python IDLE to confirm the generated difference:

my_tuple = ('sarada', 6, 4, 0.97)
my_list = ['sarada', 6, 4, 0.97]
print(my_tuple[0])     # output => 'sarada'
print(my_list[0])     # output => 'sarada'
my_tuple[0] = 'anshu'    # modifying tuple => throws an error
my_list[0] = 'anshu'    # modifying list => list modified
print(my_tuple[0])     # output => 'sarada
print(my_list[0])     # output => 'anshu'

7. What are common built-in data types  used in Python?

Several built-in data types  are there in Python. Although, Python doesn’t require  any data types to be defined explicitly during the variable declaration type errors are likely to occur if the knowledge of the data types and their compatibility with each other been neglected. Python provides isinstance() and type()  functions to check  type of these variables. These  type of data  can be grouped into  following categories-

  • None Type:
    None keyword  which represents the null values inthe  Python. Boolean equality operation can  also be performed using this None Type objects.
Class Name: Description:
NoneType Represents  NULL values in Python.
  • Numeric Types:
    These are three different numeric types – integers, numbers,floating-point  and complex numbers. Additionally, booleans are  sub-type of integers.
Class Name Description
int Stores integer are literals including  octal,hex and binary num as integers
float Stores literals  which containing decimal values and exponent signs as floating-point no’s
complex Stores complex numbers in  form (A + Bj) and has attributes: imag and real
bool Store boolean value (True / False).

sequence Types:

  • According to the Python Docs, there are three most  basic Sequence Types –  tuples, lists,and range objects. Sequence types consist the in and not in operators defined for their traversing  elements. These operators shares   same priority as the comparison operations.
Class Name Description
list Mutable sequence used to store the collection of items.
tuple Immutable sequence used to store the collection of items.
range Represents an immutable sequence of the numbers generated during execution.
str Immutable sequence ofthe  Unicode code points to store textual data.

 The standard library also includes additional types of  processing:
1. Binary data and
2. Text string

  • Mapping Types:

Mapping object can  be map hashable values to the random objects in the Python. Mapping objects are mutable and  also there is currently one and only  standard mapping type, the dictionary.

Class Name Description:
dict Stores are comma-separated list of key: value pairs
  • Set Types:
    Python has 2 built-in set types – set and frozensetset type mutable and supports methods like add() and remove()frozenset type  immutable and can’t be modified after creating.

Note: set is mutable and thus cannot be used as key for a dictionary. On the other hand, frozenset is immutable and thus, hashable, and can be used as a dictionary key or as an element of another set.

  • Modules:
    Module is an additional built-in type supported by the Python Interpreter. It supports one special operation, i.e., attribute accessmymod.myobj, where mymod is a module and myobj references a name defined in m’s symbol table. The module’s symbol table resides in a very special attribute of the module __dict__, but direct assignment to this module is neither possible nor recommended.
  • Callable Types:
    Callable types are the types to which function call can be applied. They can be user-defined functions, instance methods, generator functions, and some other built-in functions, methods and classes.
    Refer to the documentation at for a detailed view of the callable types.

8. Describe pass in Python?

The pass keyword is represents a null operation in Python. which  is generally used for  purpose of filling up empty blocks of code which may be execute during runtime but has  to be written. Without  pass statement in  following code, we may run into some type of errors during code execution.

def myEmptyFunc():
   # do nothing
myEmptyFunc()    # nothing happens
## Without the pass keywords
# File "<stdin>", line 2
# IndentationError: expected an indented blocks

9. Explain  modules and packages in the Python?

Python packages and Python modules are of  two mechanisms that permits  for modular programming in Python. Modularizing has  several benfits

  • Simplicity: Working on  single module helps you to focus on relatively small portion of  problem at hand. This makes the development easier and less errors.
  • Maintainability: Modules are designed to enforce the logical boundaries between the different problem domains. If they are written in  manner that reduces the interdependency, it is always less likely that modifications in  module might impact other parts of  program.
  • Reusability: Functions defined in  module can be easily reused by other parts of  application.
  • Scoping: Modules typically defines a separate namespace, which  can help to avoid confusion between identifiers from other parts of program.

In general MODULES , are simple Python files with a  extension .py  and can have set of  classes,functions,  or variables defined and implemented. They can be imported and initialized once by  using the import statement. If partial functionality   needed, import the requisite classes and functions using from foo import bar.

Packages allow the  hierarchial structuring of the module namespace using the  dot notation. As, modules help to avoid clashes between global variable names, in  similar manner, packages helps to  avoid clashes between the module names.
Creating a package is easy since it makes the use of  system’s inherent file structure. So just stuff modules into a folder and there you  will have it, the folder name as the name of  package . Importing a module or its contents to  this package requires the package name as the  prefix to the module name joined by a dot.

10.Explain global, protected and private attributes in Python?

  • Global variables are  the public variables that are defined in  global scope. To use this  variables in the global scope inside a function, we  must use the global keyword.
  • Protected attributes are the attributes defined with an underscore pre-fixed to their identifier like  _sara. They can still be accessed and modified from outside  class they are defined in .A  responsible developer should refrain from doing so.
  • Private attributes are the attributes with double underscore prefixed to their identifier like  __ansh. They cannot be accessed or modified from  outside directly and  also will result in AttributeError if such an attempt  made.

If you are looking to get certified in Python? Check out the Scaler Topic’s course  with certification. 

Hadoop Interview Questions

 Hadoop interview questions with answers, that have been asked in the recent years in many companies interviews.

1) What is  meant by Hadoop?

Hadoop  is written in Java ,it is a distributed in computing platform . It consists of the following  features like Google File System and MapReduce.

2) Describe the platform and Java version ,which is  required  to run the Hadoop?

Java( 1.6.x )or any advanced  versions of java are good for Hadoop work ,   Linux and Windows are the preffered operating system for Hadoop environment , but Mac OS/X,  BSD, and Solaris are more famous for working.

3) What are Hardware specifications for Hadoop?

Hadoop  runs on both dual processor/ dual core machines along  with  4-8 GB RAM using ECC memory. It depends on the workflow designs

4)Describe most common input formats defined in Hadoop?

 The common input formats  in Hadoop 

  1.  TextInputFormat
  2. KeyValueInputFormat
  3. SequenceFileInputFormat

TextInputFormat is  default input format.

5) How do you categorize a big data?

Big data is  categorized  based on the  features like:

  • Volume
  • Velocity
  • Variety

6) what is the use of .media class?

This type of class is used for floating media objects from one side to another side.

7)Use of bootstrap panel in Hadoop?

Panels bootstrap from boxing of DOM components.This panel is used with in the element <div>  to create Bootstrap panels. 

8) Describe  purpose of button groups?

Button groups used for  placement of more than one of the  buttons in  same line.

9)Mention various types of lists supported by Bootstrap.

  • Ordered list
  • Unordered list
  • Definition list

10)Name the command used for  retrieval of  status of daemons running the Hadoop cluster?

The  command ‘jps’ used for  retrieval of  status of the daemons running  Hadoop cluster.

11) What is InputSplit ? Explain.

While running Hadoop job,  splits its input files in to chunks and will assign each split to mapper for the processing. which is also called the InputSplit.


12) Explain textInputFormat?

The text file is a textInputFormat   which is a record. Value obtained is the content of line while Key is the byte offset of the line. For example  Key: longWritable, Value: text

13) What is meant by  SequenceFileInputFormat in Hadoop?

SequenceFileInputFormat  in Hadoop is used to read files in sequence. which is the  compressed binary file format which passes the data between the output of one Map Reduce job to the input of some another Map Reduce the job.

14) How many InputSplits can be  made by a Hadoop Framework?

Hadoop makes total 5 splits :

  • One split for 64K files
  • Two splits for 65MB files, and
  • Two splits for 127MB files

15) Describe the use of RecordReader in Hadoop?

InputSplit  assigned with  work but doesn’t know how to access . The record holder class is totally responsible for performing loading the data from its source and convert it to keys pair suitable for reading by  Mapper. 

16)Describe JobTracker in Hadoop?

The service JobTracker  is with in the Hadoop which runs the MapReduce jobs on cluster.

17) Explain WebDAV in Hadoop?

WebDAV is set of extension to HTTP which used to support editing and uploading the files. In most of the operating system WebDAV shares can be  mounted as filesystems, so it is always  possible to access HDFS as a standard filesystem by exposing the HDFS over  WebDAV.

18) what is  Sqoop in Hadoop?

Sqoop is used to transfer data between  Hadoop HDFS and  Relational Database Management System . Using Sqoop you  can transfer data from RDBMS like Oracle/MySQL into HDFS as well exporting data from HDFS file to RDBMS.

19)List functionalities of JobTracker?

This  are the main tasks of JobTracker:

  •  accepting  jobs from the client.
  • communicating  with the NameNode to determine the location of the data.
  • To locate TaskTracker Nodes with free slots.
  • To submit  work to the chosen TaskTracker node and monitor  progress of each task.

20) Use of  TaskTracker.

TaskTracker is a node in the cluster which accepts jobs like MapReduce and Shuffle operations from  the JobTracker .

For more interview questions and live projects contact 


What is HADOOP?

Hadoop is open-source frame work for  storage and distributed processing of large datasets ,clusters of commodity hardware. Developed by  Apache Software Foundation and was designed to handle jobs like holding vast amounts of data, including unstructured and structured data, across  distributed computing environment.

Hadoop is suited partially for big data tasks like processing and  analytics checking.

The key responsibilities of  HADOOP DEVELOPER  will be as follows:

  • 1.Determine and Design Big Data solutions based on  requirements aligning with overall guiding principles of the project ecosystem
  • 2.Develop solutions as a part of Scrum teams
  • 3.Building optimized data model, pipelines in the MPP environment
  • 4. Enhance and build data engineering assets using Hadoop


  • 1.Knowledge of designing  principles and fundamentals of architecture
  • 2.Understanding  performanceof  engineering
  • 3.Knowledge on quality processes and estimation techniques
  • 4.Basic understanding of the project domain
  • 5.Stepa to translate  nonfunctional and functional requirements of systems requirements
  • 6.How to perform  and design code complex programs
  • 7.How  to create test cases and scenarios based on given specifications
  • 8.Good understanding of the SDLC and agile methodologies
  • 9.Awareness on  latest technologies and trends
  • 10.projects to improve Logical thinking and problem solving skills along with ability to collaborate
  • 11.Basic Knowledge on the Hadoop Cluster architecture and  also how to monitor cluster.
  • 12.Is Hadoop good for Career?
     Hadoop is the best career option to choose


If you are a experienced job seeker  or fresher and  wondering which career is the best  option to choose to grow your career in databases, then Hadoop is the best option to choose.

Big Data provides various career paths like Data Analyst, Data Engineer,  Data Scientist, and Big Data Architect.

Choose  specialization  based on your career goals and Interest.

we at Assuredsol provides students with the live projects to provide hands on practical experience and knowledge on all the aspects.If you have any querries reach us  by filling contact us form.



Data Science coiurse is an emerging course offered by top  certification institutes. Data Science program is a stand-alone program .You can learn  data science under  specializations like Machine Learning,Artificial Intelligence, Python,  Big Data or Data Analytics.

Data science is a multi disciplinary course that uses various techniques, algorithms, processes, and systems to extract  insights and knowledge from structured and unstructured data.

Data science combines  of computer science, statistics, mathematics, domain knowledge, and data engineering to analyze the complex data sets and make informed decisions. 

1. Data Collection: Data scientists first collects the data from available sources, including databases, websites,sensors and more. This data can be unstructured or structured .

2. Data Cleaning and Preprocessing:Raw data obtained by data collection is   messy and incomplete. Data scientists clean and preprocess the data to  remove  any outliers,errors, and inconsistencies, making it suitable for analysis.

3.Exploratory Data Analysis (EDA): EDA involves in  using statistical and visual techniques helps to  understand the data’s characteristics, like  distributions, correlations, and patterns. 

4. Feature Engineering: Feature engineering is  process of creating the new features or transforming the existing ones to improve the performance of the machine learning models. 

5. Machine Learning:Machine learning is  a data science which always  focuse on  algorithms to build the predictive models. which includes in  unsupervised learning , supervised learning  and reinforcement learning.

6. Model Training and Evaluation: Data scientists  train machine learning models in historical data and evaluate their performance using various measures. Cross-validation techniques are  most used to assess model generalization

7.Data science is applied in the real life in  various domains,  marketing, healthcare,including finance, e-commerce, and more. To solve the complex problems and  make decisions and gain a competitive advantage.

8.Data scientists plays  a crucial role in extracting  the insights of data to drive innovation in business growth.

we offer data science course with live projects and also guidance to get placement.

Most frequently asked Jenkins interview Questions

Jenkins interview Questions

 list of the most frequently asked interview questions:

Q1. What is a Jenkins?

Jenkins is open source automation tool written in the Java with plugins built for Continuous Integration-purpose. Jenkins used to build and test  software projects.continuously making  easier for developers to integrate changes to project, and making it easier for the users to obtain a fresh build. It also allows  to continuously deliver your software by integrating with  large number of testing and deployment of technologies.

● First,  developer commits the code to  source code repository. Meanwhile,
Jenkins server checks  repository at regular time intervals for changes.
● Soon after commit occurs, the Jenkins server detects changes that have
occurred in  source code repository. Jenkins will pull those changes ,will
start preparing a new build.
● If the build fails, then  concerned team will be notified.
● If built  successful, then Jenkins deploys  built in the test server.
● After testing, Jenkins generates a feedback  then notifies  developers about
build and the test results.
● It will continue to check  source code repository for the changes made in t
source code and then whole process keeps on repeating.

Q2. Discuss benefits of using Jenkins?

● At the  integration stage, build failures are cached.
● For eachand every  change in the source code an automatic build report notification is
● To notify  the developer about build report success or failure, it is integrated with the LDAPmail server.
● Achieves continuous integration with agile development and test driven development.
● With the simple steps, maven release project is automated regularly.
● Easy tracking of the bugs at early stage in development environment than production.

Q3. What are  pre-requisites for using the Jenkins

● source code repository  is accessible, for instance,  Git repository.
● working build script, like  Maven script, checked into the repository.

Q4. List some of the useful plugins in Jenkins?

Below are some of important Plugins:
● Maven 2 project
● Amazon EC2 , HTML publisher
● Copy artifact
● Join
● Green Balls

Q5.  what are the commands  used to start Jenkins

To start Jenkins  open Console or Command line, then go to  Jenkins
installation-directory. Over there you can use  below commands:

1. start Jenkins: jenkins.exe start
2. stop Jenkins: jenkins.exe stop
3. restart Jenkins: jenkins.exe restart

Q6. Explain how  to set up Jenkins job?

First mention how to create Jenkins job.
1.Go to Jenkins top page and select “New Job”, next  choose “Build free-style softwareproject”.
Elements of this freestyle job:
● Optional SCM, such as CVS / Subversion where your source code resides.
● Optional triggers the control when Jenkins will performs build.
● Some sort of the build script that performs the build like ant, maven/shell script, batch and file . where the real work starts.
● Optional steps to collect  the information out of  build, such as archiving the artifacts
and/or recording javadoc and test results.
● There other Optionas  to notify other people/systems with the build result, such as sending
e-mails, IMs, updating issue tracker, etc..

Q7. Explain how to create a backup and copy files in Jenkins?

To create backup  you need to do is periodically back up your JENKINS_HOME directory. This contains all of your build jobs configurations, your slave node
configurations, your build history. To create  back-up of your Jenkins setup, copy this directory. You can also copy  job directory to clone or replicate  job or rename  directory.

Q8. How to secure Jenkins?

● Ensure that global security is on.
● Ensure Jenkins is integrated with the  company’s user directory with
the appropriate plugin.
● Ensure  matrix/Project matrix is enabled to fine tune access.
● Automate process of setting rights or privileges in Jenkins with the custom version of controlled script.
● Limit physical access to the Jenkins data/folders.
● Periodically run the security audits on same.

Q9 Explain how you can we deploy a custom build of core plugin?

Below are steps to deploy custom build of the core plugin:
● Stop the Jenkins.
● Copy  custom HPI to the $Jenkins_Home/plugins.
● Delete e previously expanded plugin directory.
● Make an empty file called as .hpi.pinned.
● Start the Jenkins.

Q10. Explain  relation between Hudson and Jenkins?

Hudson was  the earlier name and version of  current Jenkins. After
some issue, project name changed from Hudson to Jenkins.

Q11. What  do you do when you see  the  broken build for your project ?

Open  the console output for  the broken build and try to see if any file changes  missed. If  unable to find the issue in that way, then  clean and updatelocal workspace to replicate problem and try to solve it.

Q12. Explain how  to  move or copy Jenkins from one server to other server?

There are multiple ways :

● Move the job from one installation of the  Jenkins to the another by simply copying corresponding job directory.
● Make copy of  existing job.
● Rename existing job by renaming  directory. Note that if you change  job
name you will need to change other job that tries to call the renamed job.

Q13. Mention various ways which build can be scheduled in the 

● By following source code management commits
● After the completion of other builds
● Can scheduled to run at specified time slots
● Manual Build up Requests.

Q14.Differentiate between  Ant , Maven and Jenkins?

Ant  and Maven are Build Technologies where as the  Jenkins is  continuous integration tool.

Q15. list  SCM tools  that Jenkins supports?

Below are the Source code management tools supported by the Jenkins:
● AccuRev
● CVS,
● Subversion,
● Git,
● Mercurial,
● Perforce,
● Clearcase

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Most frequently asked AWS interview questions


AWS provides various range of cloud-based services like analytics, computing power, storage,content delivery, machine learning , databases,   and more. It is the most popular leading cloud providers globally and is widely used by    startups,businesses, governments, and  also individuals.

1.How to change the key pair for ec2 instance?

2.How to change the ec2 instance from one zone to another zone &one region to another region?

3.Explain SNS?

4.Is it possible to reset windows password using AWS?

5.How to perform Horizontal  and Vertical Auto Scaling?

6.How to  back up  your ec2 instance?

7.How to create Cloud Formation in templates for automatic instance  creation & termination?

8.Steps to restore  data from an Amazon RDS?

9.procedure to connect  Linux instance using user name  and password?

10.How to enable MFA of IAM account?

11.How to create application load balancer for the  host based and path based routing?

12.How to enable the load balancer to auto scaling groups?

13.How to  establish push  and pull Docker images to ECR?

14.How to create the ECS services connect to application load balancer?

15.Explain steps to  create the IAM rules and permission from console and command line?

16.Explain  enabling  cloud watch metrics, alerts and notifications?

17.Procedure to enable cloud trail event for multi zones?

18.Procedure  to deploy  PHP based application with the RDS and high availability in elastic beanstalk?

19.Describe how to run python based lambda function?

20.Explain  enabling VPN access on premises cloud?

21.Steps to enable web application to  firewall and shield for your website?

22.Explain configuring cloud front and provide the edge points and edge servers for content distribution?

23.Describr how to migrate VM to AWS?

24.How to migrate database -> RDS?

25.How to run the code pipeline?

26.How to integrate the cloud formation template deploy from code pipeline / GitHub and Jenkins?

27.Procedure to integrate the Jenkins with aws ec2 instance?

28.How to Enable lambda functions  for Load Balancers?

29.List types of ELB S in AWS?

30.Describe Auto Scaling policies?

31.What is pre-requisites for ec2 VPC peering?

32.Differences between NAT instance and NAT gateway?

33.Differences between  INTERNET gateway and NAT gate way ?

34.Explain route table?

35.What are the default route table contents?

36.Explain how to rotate keys automatically?Deploy code from code deploy to ECS container?

37.What is the Code Star?

38.Explain  X-ray?

39.What is Cloud 9?

40.What is the Glacier?

41.What is the Snowball?

42.What is the AWS Fargate?

43.What is the AWS Serve less Deployment?

44.Expalin  On-demand Instance, Spot Instance, and Reserved Instance different from each another?

45.Why do we make subnets?

46.Describe  internet gateway?

For more Aws related interview questions  and to learn AWS from professiona

Frequently asked questions of Digital Marketing

Some of the frequently asked questions (FAQ) about digital marketing: 

1.What is meant by  Digital Marketing?

Digital marketing refers to use of digital channels, Like  internet, social media, email, and search engines, to promote any  products or service.

2.Mention the key components of digital marketing?

Key components include Search Engine Optimization(SEO), Search Engine Marketing(SEM ), content marketing, social media marketing (like facebook , instagram), email – marketing, and more.

3.What is SEO, and why SEO is  important?

SEO ( Search Engine Optimization) It is the practice of optimizing a website to rank higher in the search engine results, increasing organic  traffic.

4.How does SEO differ from SEM?

SEM (Search Engine Marketing) involves IN paid advertising to appear in search results, while SEO  focused on organic rankings.

5.What is content marketing, and why is it essential?

Content marketing involves  in creating and sharing the valuable content to attract and engage targeted audience. It builds brand authority and trust.

6.What is social media marketing  include?

Social media marketing is  use of social platforms to connect with  audience, build brand awareness, and promote the products or services.

7.What is email-marketing, and how does it work?

Email marketing involves in sending targeted emails to a list of subscribers to promote their products, share the updates, and build customer relationships.

8.Benefits of digital marketing?

Benefits include  wide reach, precise targeting, real-time analytics,cost-effectiveness and the ability to track ROI

9.How can I measure success of my digital marketing efforts?

Analayse  Key performance indicators  like website traffic, conversion rates, click-through rates , and return on investment are used to measure the success.

10.What are common digital marketing tools and platforms?

Tools include like Google Analytics, Google Ads,  email marketing,Facebook Ads Manager, platforms like Mailchimp, and SEO tools like SEMrush and Moz .

11. Does digital marketing suitable for all types of businesses?

Digital marketing can benefit wide range of businesses, but the strategies  may vary based on the typoe of industry and target audience.

12.Describe  future of digital marketing?

Future of the digital marketing is expected to involve more personalization, AI driven automation continued growth in mobile and social media marketing.

For more FAQ’s related to Digital Marketing course 

Artificial Intelligence Interview Questions

LIST OF  Artificial Intelligence Interview Questions

1.LIST Common Uses and Applications of Artificial Intelligence?

Possibilities include  object detection,contract analysis and classification for  navigation and avoidance , image recognition, content- distribution, predictive maintenance, data processing, automation of manual tasks, and data driven reporting.

2. What are Intelligent Agents? How  They  are used in AI?

Intelligent agents are the autonomous entities that uses sensor to know what is going on, and  use actuators to perform their tasks/ goals. They can be complex  or simple and can be programmed to accomplish their jobs better.

3. What is meant by Tensorflow, and What is Tensorflow  Used For?

Tensorflow is  open-source software library  was initially developed by  Google Brain Team to use in  neural networks research and machine learning . It is used for  the data-flow programming.  Using Tensor Flow   to build the certain AI features into applications become easier, including operations like  speech recognition and Natural language processing.

4. What is meant by  Machine Learning, and How can It Relate to AI?

Machine learning is  subset of AI. The idea  of machine learning is machines will “learn” and get better at tasks over  the time rather than having humans  to input parameters. Machine learning is  more practical application of AI.

5. Describe Neural Networks and How  they Relate to AI?

Neural networks are the  class of machine learning algorithms. They are   part of the neural   computational component, and their network part is how the neurons are being connected with. Neural networks pass  data among them, gathering more and more as the data moves in and along. Because  the networks are interconnected with more complex data ,which  can process more efficiently.

6. What is Deep Learning? Does It Relate to AI?

Deep learning can be explined as subset of the machine learning. Refers to  multi-layered neural networks to process the data in increasingly  ways, enabling  software to guide  itself to perform task like image  and speech recognitions through exposure to numerous amounts of data for continual improvement  to recognize and process information. Layers of the neural networks stacked up  on the top of each for use in   deep learning are called deep neural networks.

7. Why Image Recognition is a Key Function of AI?

Humans are visual, and AI  designed to emulate human brains. Teaching machines to recognize and categorize images is  crucial part of AI. Image recognition also helps the machines to learn  because the more images that are processed, are the better the software gets  recognizing and processing those images.

8. What is meant by Automatic Programming?

Automatic programming  describing what can a program should do, and  having the AI system “write” the program.

9. What is a Bayesian Network, and How Does Bayesian  Relate to AI?

A Bayesian network is graphical model for the probabilistic relationships among a set of variables. Alsomimics the human brain in processing various  variables.

10. What are the Constraint Satisfaction Problems?

Constraint Satisfaction Problems (CSPs) are the mathematical problems defined as  set of objects, the state  which must meet several constraints. CSPs are mostuseful for AI because the regularity of their formulation offers commonality for analyzing and solving the problems.

Digital Marketing Interview Questions and Answers

Top digital marketing interview questions with answers marketing  consists  of  wide range of strategies and tactics used by individuals and  businesses to promote their products, services, or brands using digital channels.

Internet provides platform for  an online presence of your business. Businesses create their websites to showcase their products or services and provide’s information to their target audience. website is considreed as central hub of a company’s digital marketing .


Digital Marketing Interview Questions

1. Explain briefly  about Digital Marketing?

Marketing professionals can use any method of marketing like  electronic devices or a digital mode to deliver their promotionsg and track its effectiveness throughout the journey of consumer . Digital marketing refers to advertisment that appears on phone, computer,  tablet, or other type of electronic device. Online  paid social ads,video, display ads,  SEO and social media posts are some examples.

2. What are  types of Digital Marketing in the industry?

 Digital Marketing formats are as follows:

  • Social Media Profiles
  • Website
  •  Video and Image Content
  • Blog Post and eBooks
  • Customer Testimonials and Reviews
  • Brand Logos, Images, or Icons

3. Why Digital Marketing grown to be huge compared to offline marketing?

In recent years, digital marketing has demonstrated the immense power, and here are some of  most compelling reasons:

  • Directly relate to  the customers’ needs
  • Good exposure to  the product outreach and analytics
  • A more convenient approach to connect with the people from all over the world
  • Changes can be implemented a immediately if required

4. Differentiate between direct marketing and branding?

  • Aim of Direct marketing  is to increase  company’s revenue by creating the demand.Using  stories in branded marketing allows  to connect with your audience on a  deeper level.
  • Direct marketing has a direct impact on revenue.High level of urgency and priority is assigned. Brand marketing has  long-term impact on the brand equity and serves as a good barrier to market pressures.

    5. What are most popular Digital marketing tools?

    Digital Marketing includes various techniques that can be used  to achieve  specific aim. some of the examples are given below.

    • Google Analytics

    Google developed a free analytics platform for the users that lets you track to performance of your  site, video or app. You can calculate advertisements ROI from google analytics.

    • Ahref is an excellent tool for   SEO analysis like backlinks checking.

    • Mailchimp

    Using Mailchimp you can use email marketing tool that lets you to communicate and manage  with the clients and consumers  from one  location.

    • Google Keyword Planner

     Google Keyword Planner  provides assistance  in determining keywords for your Search Network campaigns. It is a free app which allows user to locate the keywords relevant to  business and see how many monthly searches they can  generate and how much it costs to reach target .

    • Kissmetrics

    Kissmetrics is a online analytics software that also provides critical website insight and customers engagement.

    • Keyword Discovery

    Keyword Discovery provides with access to  world’s most comprehensive keyword index, which is compiled from search engines. Access to  consumer search keywords for the  goods and services,  as the search terms that direct users to  competitors’ websites.

    • SEMrush

    Semrush is a  toolkit for gaining web visibility and learning about marketing. SEMrush provides  reports  and tools which will definitely  benefit marketers in  PPC, SEO, Keyword Research, Competitive Research, SMM and content marketing services.

    • Buffer App

    Buffer APP is a business social media management App, which allows users to create content, communicate with  customers, and track social media success. Buffer integrates  social media networks like Instagram,Facebook, and Twitter.

    • AdEspresso

    AdEspresso is simple and intuitive Facebook ad management  tool.

    6. How can you categorize Digital marketing?

    Digital marketing  categorized into  Outbound  and Inbound Marketing.

    •   outbound marketing doesn’t care about the customer interest.where inbound marketing pulls  interested customers,
    • Consumer need is considered as first  priority.
    • 7.Mention few Google AdWords Ad Extensions names that you know?

      • Sitelink extensions 
      • Location extensions 
      • Call extensions 
      • App extensions 
      • Review extensions 
      • Callout extensions 
      • Structured snippet extensions 
      • Price extensions 
      • Automated extensions report 
      • Image extensions 
      • Previous visits 
      • Dynamic sitelink extension.

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