Describe architecture and characteristics of Web services.
See Answer →Describe Methodologies for Session Management Testing.
See Answer →Explain XML in detail.
See Answer →Describe SET Protocols with its working.
See Answer →Explain models of Web Application Components.
See Answer →Discuss the Deployment of OpenStack using DevStack with all steps.
See Answer →What is the Random Forest algorithm? Explain how it can be applied to classification problems. Write a program in R to implement a Random Forest classifier on a sample dataset and explain its output.
See Answer →Discuss the challenges of online advertising and recommendation systems. Explain the concept of collaborative filtering with an example, and discuss the role of clustering in social network analysis.
See Answer →What is the PageRank algorithm, and how is it used in link analysis? Describe the concept of "flow of rank" in PageRank. Explain how the PageRank of a web page is calculated using the flow model.
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Describe the purpose and functionality of a Bloom filter in data stream processing. How does the Bloom filter efficiently check for element presence? Describe the FlajoletMartin algorithm for cardinality estimation in data streams.
See Answer →Compare Apache Spark, Hive, and HBase in terms of functionality, data processing methods, and use cases. When would Spark be preferred over traditional MapReduce, and why?
See Answer →Explain the Hadoop architecture with a focus on HDFS and the master/slave architecture. How do NameNode and DataNodes work together to store and manage large datasets? Provide a basic example of this storage process.
See Answer →Discuss the 4 Vs of big data (Volume, Velocity, Variety, and Veracity). Provide a real-world example of each, explaining how these characteristics create challenges in big data management.
See Answer →Describe the role of statistical hypothesis testing in data analysis. What are Type I and Type II errors, and how do they affect decision-making? Provide an example of hypothesis testing in a real-world scenario.
See Answer →Explain Exploratory Data Analysis (EDA) and its importance. What are the main steps in performing EDA on a new dataset? Describe two methods for detecting outliers and how handling outliers impacts data analysis.
See Answer →Define the term data science. Describe its applications in two industries of your choice (e.g., healthcare, finance, e-commerce). What role does the data science lifecycle play in managing data projects?
See Answer →How Social media platforms can be used to expand intelligence? b) Explain malicious web scraping and its us
See Answer →Describe basics of Networking. How many communication links are required to connect n devices in case of mesh topology.
See Answer →What do you mean by Cryptography? Describe its data security techniques.
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