Google Data Analyst Intern Interview Questions and Answers

Q1. Basic ml related questions,past project discussion
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Q1. AI, ML related, statistical analysis of the graph.
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Q1. Work culture, check
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Q1. Work culture, project discussion, scenario based questions
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Q1. Basic HR questions, why sap salary discussions
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It was related to Aptitude MCQ and 2-coding test

Q1. Palindrome of a number
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A palindrome of a number is a number that remains the same when its digits are reversed.
• To check if a number is a palindrome, reverse the number and compare it with the original number.

• Examples: 121 is a palindrome, 123 is not a palindrome.
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Q2. Merge 2linked list
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Merging two linked lists involves combining the elements of both lists into a single list.
• Create a new linked list to store the merged elements

• Traverse through both linked lists and add elements to the new list

• Handle cases where one list is longer than the other
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Q3. About projects you have done
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Q1. Explain your resume fully
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Q2. General questions on the behaviour
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Q1. Self-introduction
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Q2. What are your roles and responsibilities in current organization
Ans. 
I am responsible for analyzing data, creating reports, and providing insights to support decision-making.
• Analyze large datasets to identify trends and patterns

• Create reports and dashboards to visualize data for stakeholders

• Provide insights and recommendations based on data analysis

• Collaborate with cross-functional teams to drive data-driven decision-making
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Q1. Self-introduction
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Q2. Brief discussion about the roles and responsibilities for current opening
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Lead Data Analyst oversees data analysis team, develops strategies, interprets data, and presents insights to stakeholders.
• Manage and lead a team of data analysts

• Develop data analysis strategies and methodologies

• Interpret data and provide actionable insights to stakeholders

• Collaborate with cross-functional teams to drive data-driven decision making

• Ensure data quality and accuracy in analysis

• Stay updated on industry tre
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Q1. Self-introduction
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Q2. Technical round for Python, SQL, Tableau and Advanced Excel
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Q3. Scenario based questions
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Q1. Self-Introduction
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Q2. What do you understand about Sales Comp and its roles and responsibilities
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Sales Comp is a system that determines how salespeople are compensated based on their performance.
• Sales Comp is short for Sales Compensation

• It involves designing and implementing a system to reward salespeople based on their sales performance

• Roles include setting sales targets, determining commission structures, and monitoring sales performance

• Responsibilities include analyzing sales data, calculating commissions, and ...read more
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Q3. Scenario based questions
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Q1. Self-introduction
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Q2. Scenario based questions
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Q1. Given a situation how do you handle different cases
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Q2. Given a proab stats question
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Q1. Asked about projects. What is classification? Is knn used for regression?how? decision tree working for regression and classification Is naive Bayes used for regression?how? LLM Docker Aws GenAI Code for ...read more
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Q1. Basic pandas questions on dataframes
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Q2. Some quiz questions
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Q1. How can Logistic regression be applied for multiclasstext classification
Ans. 
Logistic regression can be applied for multiclasstext classification by using one-vs-rest or softmax approach.
• One-vs-rest approach: Train a binary logistic regression model for each class, treating it as the positive class and the rest as the negative class.

• Softmax approach: Use the softmax function to transform the output of the logistic regression into probabilities for each class.

• Evaluate the model using appropriate...read more
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Aptitute,technical mcqs

Q1. Coding question
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Q2. Oops concept,dbms,sql
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