Briefly discuss about the concepts of UBUNTU for Python. Which word is used before every command for a user for running commands in LINUX terminal? Give your examples.
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What do you mean by Cyber Security? Describe its importance, threats, purpose and benefit of python for Cyber security.
See Answer →Describe Object Oriented approach, Classes and Methods, Libraries, Networking for Python.
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Describe Python Libraries for Cyber Security. How is Python used in Pen Testing.
See Answer →Apply K-Means clustering to group similar data points. Display the results visually using appropriate R plotting functions. Explain the outputs obtained.
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Create a Decision Tree classifier for a sample dataset. Display the results visually using appropriate R plotting functions. Explain the outputs obtained.
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What is the Flajolet-Martin algorithm? Explain its steps for estimating the number of unique elements in a data stream. Compare it with the use of a Bloom Filter.
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Explain Cosine Similarity and Jaccard Similarity with examples. How are these measures used in recommendation systems and document similarity analysis?
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What are Column-based, Document-based, and Graph-based NoSQL databases? For each type, give an example and explain a real-world use case where it is most suitable.
See Answer →Compare MapReduce and Apache Spark with respect to data processing speed, fault tolerance, and ease of use. Provide a real-world use case where Spark is more beneficial than MapReduce.
See Answer →Explain the Hadoop Distributed File System (HDFS) architecture with a diagram. Describe the role of NameNode and DataNodes in storing and retrieving large-scale datasets.
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What are the Four Vs of Big Data? Give real-world examples for each. Compare Big Data systems with traditional data warehouses in terms of architecture and functionality.
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Discuss the data cleaning process in detail. Explain missing value imputation techniques and the impact of data quality on predictive model performance.
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What is Correlation in statistics? Explain the difference between positive correlation and negative correlation with examples. Discuss how the Central Limit Theorem is applied in Data Science projects.
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Define the term Data Science. Explain the role of data sampling in Data Science. Differentiate between descriptive, inferential, and causal data analysis with suitable examples.
See Answer →Explain Man in the middle attack (MITM) using Ettercap
See Answer →Discuss the Deployment of OpenStack using DevStack with all steps.
See Answer →Discuss Internet Security Protocols.
See Answer →What are the different ways to authenticate a web application?
See Answer →Describe architecture and characteristics of Web services.
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