ACT Fibernet Data Engineer Interview Questions and Answers

Q1. What is data Analytics fulfilled
Ans. 
Data analytics involves examining datasets to draw conclusions, identify trends, and support decision-making.
• Data Collection: Gathering data from various sources, e.g., surveys, databases.

• Data Cleaning: Removing inaccuracies and inconsistencies, e.g., correcting typos in a dataset.

• Data Analysis: Applying statistical methods to interpret data, e.g., using regression analysis to predict sales.

• Data Visualization: Creating...read more
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Q2. Program for analysis
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A program for data analysis involves collecting, processing, and interpreting data to derive insights.
• Define the objective: Understand what questions you want to answer with the data.

• Collect data: Gather data from various sources like databases, APIs, or surveys.

• Clean the data: Remove duplicates, handle missing values, and correct inconsistencies.

• Analyze the data: Use statistical methods or data visualization tools to ...read more
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Q3. What do you used to article
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Q4. In future life promote ai
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Q5. Good combination
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Q1. Questions were based on DSA and C
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Q2. It was basically a coding round with simple logic
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SQL query to find the top 5 employee having the max salary

Q1. Qualification of my degree
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Q2. My personal skills for company
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Q1. Current roles and responsibilities, Few queries to write, few questions related to DWH and what type of role you have done in past etc
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Q1. Managerial round mostly questions like what challenges did you face, how did you overcome on that, what was the major success / appreciation you got
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Q1. If a dataset has missing values, how would you handle them?
Ans. 
I would handle missing values by imputing them using methods like mean, median, mode, or predictive modeling.
• Identify the extent of missing data in the dataset

• Consider the type of missing values (completely at random, missing at random, or not missing at random)

• Impute missing values using mean, median, mode, predictive modeling, or other statistical methods

• Evaluate the impact of imputation on the dataset's integrity an...read more
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Q2. How would you analyze sales data to find ways to increase revenue?
Ans. 
I would analyze sales data by identifying trends, customer behavior, and market opportunities to increase revenue.
• Identify key performance indicators (KPIs) such as average order value, conversion rate, and customer acquisition cost.

• Segment customers based on demographics, purchase history, and behavior to target specific groups with personalized marketing strategies.

• Analyze sales channels to determine which ones are m...read more
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Easy Aptitude and SQL questions

Q1. Guesstimate question
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Q2. SQL Joins and DSA
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Q1. Good interview with no mistakes.
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Q2. Why you want to work with us ?
Ans. 
I want to work with you because of your reputation in the industry and the exciting opportunities for growth and learning.
• I am impressed by your company's reputation in the industry and the positive feedback I have heard from current and former employees.

• Your organization offers a dynamic and challenging work environment, which aligns with my career goals and aspirations.

• I am excited about the opportunity to work with ...read more
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