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20+ Bombay Intelligence Security Interview Questions and Answers

Updated 18 Nov 2024
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Q1. Which command is used to check the memory status?

Ans.

The command used to check memory status is 'free'.

  • The 'free' command displays the total amount of free and used physical and swap memory in the system.

  • It also shows the buffers and cache used by the kernel.

  • The output of the 'free' command can be customized using various options like '-h' for human-readable format and '-s' for a continuous display.

  • Another command that can be used to check memory status is 'top', which displays the memory usage of individual processes in real-t...read more

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Q2. What is lvm and why is it required?

Ans.

LVM stands for Logical Volume Manager. It is required for flexible management of storage devices in Linux systems.

  • LVM allows for the creation of logical volumes that span multiple physical disks.

  • It enables resizing of logical volumes without the need to unmount the file system.

  • LVM also provides features such as snapshots and mirroring for data backup and redundancy.

  • It is commonly used in enterprise environments where storage requirements are dynamic and constantly changing.

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Q3. Maximum size (in bytes) of the filename in Linux can be?

Ans.

The maximum size of a filename in Linux is 255 bytes.

  • The maximum length includes the entire path and filename.

  • The limit is imposed by the file system, not the operating system.

  • Some file systems, such as ext4, support longer filenames with special configuration.

  • Long filenames can cause issues with some applications and scripts.

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Q4. What is the function of grep command?

Ans.

grep command is used to search for a specific pattern in a file or output.

  • Used to search for a specific pattern in a file or output

  • Can be used with regular expressions

  • Can be used to search for multiple patterns at once

  • Can be used with other commands like find and ls

  • Example: grep 'error' file.txt

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Q5. how you have optimised the performance of the dashboard

Ans.

I optimized the performance of the dashboard by streamlining data sources, improving data visualization, and implementing automated updates.

  • Identified and removed unnecessary data sources to reduce load times

  • Utilized data caching techniques to improve dashboard loading speed

  • Implemented data visualization best practices to enhance user experience

  • Set up automated data refresh schedules to ensure real-time updates

  • Optimized queries and data processing to improve overall performan...read more

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Q6. What is the pink command?

Ans.

The pink command is not a valid Linux command.

  • There is no pink command in Linux.

  • It is possible that the interviewer is testing the candidate's honesty and ability to admit when they don't know something.

  • The candidate should respond honestly and explain that they are not familiar with the pink command.

  • Alternatively, the candidate could ask for clarification or context to better understand the question.

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Q7. types of joins and explain it with one example for each

Ans.

Types of joins in SQL with examples

  • Inner Join: Returns rows when there is a match in both tables. Example: SELECT * FROM table1 INNER JOIN table2 ON table1.id = table2.id

  • Left Join: Returns all rows from the left table and the matched rows from the right table. Example: SELECT * FROM table1 LEFT JOIN table2 ON table1.id = table2.id

  • Right Join: Returns all rows from the right table and the matched rows from the left table. Example: SELECT * FROM table1 RIGHT JOIN table2 ON table...read more

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Q8. What is netstat command

Ans.

Netstat is a command-line tool used to display network connections, routing tables, and network interface statistics.

  • Displays active network connections and their status

  • Shows routing tables and network interface statistics

  • Can be used to troubleshoot network issues

  • Can be used to identify open ports and listening services

  • Syntax: netstat [options]

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Q9. what is the custom chart you have worked on

Ans.

I have worked on creating a custom sales performance chart for tracking monthly revenue

  • Utilized Excel to create a custom chart with data from multiple sources

  • Implemented color coding to highlight trends and outliers

  • Added interactive features for easy data analysis

  • Presented the chart to senior management for decision-making purposes

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Q10. What is difference between where and having?

Ans.

WHERE is used to filter rows in a SQL query while HAVING is used to filter groups in a SQL query.

  • WHERE is used with SELECT, UPDATE, DELETE statements while HAVING is used with GROUP BY clause.

  • WHERE filters rows before grouping while HAVING filters groups after grouping.

  • WHERE is used to filter individual rows based on a condition while HAVING is used to filter groups based on a condition.

  • Example: SELECT * FROM table WHERE column = 'value';

  • Example: SELECT column, COUNT(*) FROM ...read more

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Q11. Power bi app service, number of projects completed so far

Ans.

We have completed 15 Power BI app service projects so far.

  • We have successfully completed 15 projects using Power BI app service.

  • Our team has a track record of delivering high-quality projects on time.

  • Some examples of our completed projects include sales dashboards, financial reports, and operational analytics.

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Q12. DIFFERENCE B/W Groups and sets in tableau

Ans.

In Tableau, groups are used to combine related dimension members, while sets are used to create custom fields based on a condition.

  • Groups in Tableau are used to combine related dimension members into higher-level categories. For example, grouping different product categories into a single 'Other' category.

  • Sets in Tableau are used to create custom fields based on a condition. For example, creating a set of 'High Sales' based on products with sales above a certain threshold.

  • Gro...read more

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Q13. types of filters and execution order in tableau

Ans.

Tableau filters include context filters, extract filters, data source filters, and user filters. Execution order is top-down.

  • Context filters are applied first and limit the data set for subsequent filters.

  • Extract filters are applied next, filtering data before it is extracted into Tableau.

  • Data source filters are applied after extract filters, limiting the data at the data source level.

  • User filters are applied last, allowing users to further refine the data based on their pref...read more

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Q14. What are the diifrent ML algoritham & Explain in details

Ans.

Various ML algorithms include linear regression, decision trees, random forests, support vector machines, and neural networks.

  • Linear Regression: Used for predicting continuous values based on input features.

  • Decision Trees: Tree-like model of decisions used for classification and regression.

  • Random Forests: Ensemble learning method using multiple decision trees for improved accuracy.

  • Support Vector Machines: Classify data by finding the hyperplane that best separates different c...read more

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Q15. difference between tree map and heat map

Ans.

Tree map displays hierarchical data using nested rectangles, while heat map visualizes data using colors.

  • Tree map organizes data in a hierarchical structure with nested rectangles

  • Heat map uses colors to represent data values on a matrix

  • Tree map is useful for showing proportions within a whole, while heat map is good for visualizing patterns or correlations in data

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Q16. union and union all major difference

Ans.

UNION combines the results of two or more SELECT statements, while UNION ALL does the same but includes duplicates.

  • UNION removes duplicates from the result set, while UNION ALL includes duplicates

  • UNION is slower than UNION ALL because it has to perform an additional step to remove duplicates

  • UNION requires the same number of columns in the SELECT statements, while UNION ALL does not have this requirement

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Q17. What is the use of union

Ans.

Unions are organizations that represent workers in negotiations with employers to improve working conditions, wages, and benefits.

  • Unions help workers negotiate better pay, benefits, and working conditions

  • They provide a collective voice for workers to address grievances and concerns

  • Unions also advocate for workplace safety and training programs

  • They can help workers navigate disputes with management and provide legal representation

  • Examples of unions include the AFL-CIO, SEIU, a...read more

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Q18. Feature of power bi, some SQL queries

Ans.

Power BI is a business analytics tool that provides interactive visualizations and business intelligence capabilities.

  • Power BI allows users to create interactive reports and dashboards to visualize data from various sources.

  • Users can connect to databases using SQL queries to retrieve and manipulate data for analysis.

  • Power BI supports a wide range of data sources including SQL Server, Excel, and cloud services like Azure SQL Database.

  • Users can write custom SQL queries within P...read more

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Q19. rank vs rank dense in SQL

Ans.

Rank function assigns a unique rank to each row in the result set, while dense_rank function assigns a unique rank to each distinct row in the result set.

  • Rank function leaves gaps in the ranking if there are ties, while dense_rank function does not leave gaps.

  • Rank function is used to assign a unique rank to each row based on the specified order, while dense_rank function is used to assign a unique rank to each distinct row.

  • Example: SELECT name, salary, RANK() OVER (ORDER BY s...read more

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Q20. what are the diffrent datatype in python

Ans.

Python has various data types including int, float, str, list, tuple, dict, set, bool, and more.

  • int - integer numbers (e.g. 5)

  • float - floating point numbers (e.g. 3.14)

  • str - strings (e.g. 'hello')

  • list - ordered collection of items (e.g. [1, 2, 3])

  • tuple - ordered collection of items that cannot be changed (e.g. (1, 2, 3))

  • dict - collection of key-value pairs (e.g. {'name': 'John', 'age': 30})

  • set - unordered collection of unique items (e.g. {1, 2, 3})

  • bool - boolean values True o...read more

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Q21. Difference between table and view

Ans.

Tables store data in a structured format while views are virtual tables created from a query.

  • Tables are physical objects that store data in a structured format with columns and rows.

  • Views are virtual tables created from a query that retrieves data from one or more tables.

  • Tables can be modified directly while views are read-only.

  • Views can be used to simplify complex queries and provide a layer of abstraction for security purposes.

  • Examples: Employee table vs Employee view that ...read more

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Q22. OLAP VS OLTP difference

Ans.

OLAP is used for analyzing historical data while OLTP is used for managing real-time transactional data.

  • OLAP stands for Online Analytical Processing and is used for complex queries and data analysis.

  • OLTP stands for Online Transactional Processing and is used for managing real-time transactional data.

  • OLAP databases are optimized for read-heavy workloads while OLTP databases are optimized for write-heavy workloads.

  • OLAP databases typically have a denormalized schema for faster q...read more

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Q23. What is broadcasting?

Ans.

Broadcasting is a feature in Apache Spark that allows for efficient data distribution across cluster nodes.

  • Broadcasting is used to efficiently distribute read-only data to all nodes in a Spark cluster.

  • It helps reduce data shuffling and improve performance by avoiding unnecessary data transfers.

  • Common use cases include broadcasting small lookup tables or configuration data.

  • Example: Broadcasting a small reference dataset to all nodes for join operations.

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Q24. What is ETL? Different process

Ans.

ETL stands for Extract, Transform, Load. It is a process used to extract data from various sources, transform it into a consistent format, and load it into a target database.

  • Extract: Data is extracted from multiple sources such as databases, files, APIs, etc.

  • Transform: Data is cleaned, filtered, aggregated, and converted into a consistent format.

  • Load: Transformed data is loaded into a target database or data warehouse for analysis.

  • Examples: Extracting customer data from a CRM...read more

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Q25. Data structures Definitions What is tuple

Ans.

A tuple is an ordered collection of elements of different data types.

  • Tuples are immutable, meaning their values cannot be changed once created.

  • They are often used to return multiple values from a function.

  • Example: ('John', 25, 'Male')

  • Example: (3.14, 'pi')

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Q26. whats your quvalifycation?

Ans.

I have a Bachelor's degree in Computer Science and 5 years of experience in software development.

  • Bachelor's degree in Computer Science

  • 5 years of experience in software development

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