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Abzooba India Infotech

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KASS Interview Questions and Answers

Updated 6 Aug 2024

Q1. What are technology related to big data

Ans.

Technologies related to big data include Hadoop, Spark, Kafka, and NoSQL databases.

  • Hadoop - Distributed storage and processing framework for big data

  • Spark - In-memory data processing engine for big data analytics

  • Kafka - Distributed streaming platform for handling real-time data feeds

  • NoSQL databases - Non-relational databases for storing and retrieving large volumes of data

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Q2. What is cloud in big data

Ans.

Cloud in big data refers to using cloud computing services to store, manage, and analyze large volumes of data.

  • Cloud computing allows for scalable and flexible storage of big data

  • It provides on-demand access to computing resources for processing big data

  • Examples include AWS, Google Cloud, and Microsoft Azure

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Q3. What is data warehousing

Ans.

Data warehousing is the process of collecting, storing, and managing data from various sources for analysis and reporting.

  • Data warehousing involves extracting data from multiple sources

  • Data is transformed and loaded into a central repository

  • Allows for complex queries and analysis to be performed on the data

  • Examples include data warehouses like Amazon Redshift, Google BigQuery

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Q4. What is use of python

Ans.

Python is a versatile programming language used for various purposes including web development, data analysis, artificial intelligence, and automation.

  • Python is used for web development with frameworks like Django and Flask.

  • It is commonly used for data analysis and visualization with libraries like Pandas and Matplotlib.

  • Python is popular in artificial intelligence and machine learning projects with libraries like TensorFlow and scikit-learn.

  • It is also used for automation task...read more

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Q5. What is big data

Ans.

Big data refers to large volumes of structured and unstructured data that is too complex for traditional data processing applications.

  • Big data involves massive amounts of data that cannot be easily managed or analyzed using traditional methods

  • It includes structured data (like databases) and unstructured data (like social media posts)

  • Examples include analyzing customer behavior on e-commerce websites, processing sensor data in IoT devices, and analyzing social media trends

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Q6. What is use of scala

Ans.

Scala is a programming language that is used for building scalable and high-performance applications.

  • Scala is used for developing applications that require high performance and scalability.

  • It is often used in Big Data processing frameworks like Apache Spark.

  • Scala combines object-oriented and functional programming paradigms.

  • It is interoperable with Java, allowing developers to leverage existing Java libraries.

  • Scala is used in various industries such as finance, healthcare, an...read more

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Q7. what is seo in writing?

Ans.

SEO in writing refers to optimizing content to improve visibility on search engines.

  • SEO involves using relevant keywords in writing to improve search engine rankings

  • Creating high-quality content that is valuable to readers is key for SEO in writing

  • Optimizing meta tags, headings, and images can also improve SEO in writing

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