SecuriCORE Security Guard Interview Questions and Answers

Q1. What are your coding skills
Ans. 
I have strong coding skills in multiple languages and frameworks.
• Proficient in Java, Python, and JavaScript

• Experience with frameworks such as Spring, Flask, and React

• Familiarity with database technologies like MySQL and MongoDB

• Ability to write clean, efficient, and maintainable code

• Continuously learning and staying up-to-date with new technologies
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Q1. How did you resolve team conflicts
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Q1. For role with O2C - Contract and Billing department: What was my previous role and what was the KPI?
Ans. Previous role, handled team of 40 members on telecom billing and the KPI was to bill all the customers and keep the unbilled to a minimum as per the SLA agreement
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Q2. Experience on handling monthend activities/target under presurre
Ans. 
I have extensive experience in handling month-end activities and meeting targets under pressure.
• Managed month-end closing processes efficiently to ensure timely and accurate financial reporting

• Prioritized tasks and delegated responsibilities to team members to meet deadlines

• Utilized advanced Excel skills to analyze data and identify discrepancies

• Communicated effectively with cross-functional teams to resolve issues and...read more
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Q3. Tell about yourself
Ans. Explain about complete years of experience in brief not more than 2 or 3 mins by covering your area of expertise, achievements and challenges on the go.
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Q4. Reason for change of role
Ans. Business change - if current company is closing or process is being taken over etc., Career growth - if looking for promotion and didnt receive it on previous org for a long time.
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Q1. Different Machine learning algorithms
Ans. 
Machine learning algorithms are models used to analyze data and make predictions or decisions without being explicitly programmed.
• Supervised learning algorithms: Decision Trees, Support Vector Machines, Linear Regression

• Unsupervised learning algorithms: K-means Clustering, Principal Component Analysis

• Reinforcement learning algorithms: Q-Learning, Deep Q-Networks
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Q1. Explain the working of neural networks
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Neural networks are a type of machine learning algorithm inspired by the human brain, consisting of interconnected nodes that process information.
• Neural networks consist of layers of interconnected nodes, including input, hidden, and output layers.

• Each node receives input, processes it using weights and activation functions, and passes the output to the next layer.

• Neural networks learn by adjusting the weights based on...read more
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Q2. Different cost function for regression
Ans. 
Different cost functions for regression are used to measure the error between predicted and actual values.
• Common cost functions include Mean Squared Error (MSE), Mean Absolute Error (MAE), and Huber Loss.

• MSE penalizes larger errors more heavily, while MAE treats all errors equally.

• Huber Loss is a combination of MSE and MAE, providing a balance between robustness and sensitivity to outliers.
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Q3. SQL join operations on tables
Ans. 
SQL join operations are used to combine rows from two or more tables based on a related column between them.
• Types of SQL joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN.

• INNER JOIN returns rows when there is at least one match in both tables.

• LEFT JOIN returns all rows from the left table and the matched rows from the right table.

• RIGHT JOIN returns all rows from the right table and the matched rows from th...read more
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Explaining the training strategy