What is Tenancy in context of cloud computing ? Compare Multi-Tenancy model and Single Tenancy model of resource sharing. Explain the various ways through which Multi-Tenancy can be implemented.
See Answer →: What is Cloud Computing ? How Cloud Computing differs from Cluster Computing , Grid Computing ? Explain the characteristics of Cloud Computing. Also, give benefits & applications of Cloud Computing.
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Explain the techniques used for similarity measurement in Big Data analytics. Discuss Jaccard similarity, cosine similarity, and their role in recommendation systems.
QlO: Write R programs for the following tasks:
(a) Perform simple linear regression on a sample dataset and interpret the output.
(b) Apply a classification technique of your choice on a dataset and explain the results obtained.
Explain the concept of NoSQL databases. Compare key-value stores, columnfamily databases, and document databases with suitable examples and use cases.
See Answer →What is Apache Spark? Explain its core components and advantages over traditional Hadoop MapReduce. Discuss one practical application where Spark is effectively used.
See Answer →Describe the architecture of the Hadoop ecosystem. Explain the role of HDFS, YARN, and MapReduce in handling large-scale data processing.
See Answer →: Discuss the need for Big Data technologies. Explain the characteristics of Big Data and describe how Big Data processing differs from traditional data processing systems.
See Answer →Explain the concept of data visualization. Discuss any four commonly used charts and justify their use for analyzing different types of datasets.
See Answer →What is data preprocessing? Explain the major steps involved in preprocessing large datasets. Discuss methods used for noise removal, normalization, and data transformation.
See Answer →Define measures of central tendency and dispersion. Explain how variance and standard deviation help in understanding data distribution. Discuss the relevance of these measures in Data Science applications.
See Answer →Explain the scope and objectives of Data Science. Discuss the importance of data collection and sampling techniques in data-driven decision making. Illustrate your answer 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 →What do you mean by Web Security Protocol? Describe the most common authentication protocols. Give example.
See Answer →How does direct API intersection work? Give illustration.
See Answer →Explain attacks using HTML5. How can it be secured?
See Answer →: Explain the following:
a) XML digital signatures with their types and structure
b) Web Application Audit Tool
: Describe the fundamentals of web application security audit.
See Answer →Explain weblog evaluation in the context of generic weblog examination data, possible purposes and common logs.
See Answer →Describe standards of web services and their application on securing issues.
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