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. What is your proficiency with Python?
Ans. 
I have strong proficiency in Python, utilizing it for data analysis, visualization, and automation tasks.
• Experienced in using libraries like Pandas for data manipulation and analysis.

• Proficient in NumPy for numerical computations and handling large datasets.

• Skilled in Matplotlib and Seaborn for data visualization to present insights effectively.

• Utilized Python for automating data collection processes using web scraping...read more
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Q2. What is your proficiency with Tableau?
Ans. 
I have extensive experience with Tableau, creating interactive dashboards and visualizations to drive data-driven decisions.
• Proficient in creating complex dashboards that visualize key performance indicators (KPIs) for business insights.

• Experienced in data blending and joining multiple data sources to create comprehensive reports.

• Skilled in using Tableau's calculated fields to derive new metrics, such as customer lifet...read more
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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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Q1. Qualification of my degree
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Q2. My personal skills for company
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Q1. Difference between joins
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Q2. Window function
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Q1. Write sql query in pythons
Ans. 
Writing SQL queries in Python allows for seamless integration of data analysis and manipulation.
• Use libraries like pandas or sqlalchemy to execute SQL queries in Python

• Remember to establish a connection to the database before executing queries

• Utilize Python's flexibility to manipulate and analyze data retrieved from SQL queries
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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. Could you elaborate on your roles and responsibilities in your previous employment?
Ans. 
In my previous role, I was responsible for analyzing data, creating reports, and providing insights to support decision-making.
• Performed data cleaning, transformation, and analysis using tools like Excel, SQL, and Python.

• Generated reports and dashboards to visualize data trends and patterns.

• Collaborated with cross-functional teams to identify key metrics and KPIs for business performance.

• Presented findings and recommen...read more
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Q2. What was your role in the project, specifically related to data transformation and dashboard creation?
Ans. 
I was responsible for data cleaning, transformation, and visualization to create interactive dashboards for stakeholders.
• Performed data cleaning and transformation to ensure accuracy and consistency of data

• Utilized tools like SQL, Python, and Tableau to manipulate and visualize data

• Collaborated with stakeholders to understand their requirements and design interactive dashboards

• Generated insights from data analysis to d...read more
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Q3. How do you optimize and manage large datasets, and what data sources do you utilize to obtain this data?
Ans. 
I optimize and manage large datasets by using tools like SQL, Python, and Excel. I utilize various data sources such as databases, APIs, and web scraping.
• Utilize SQL queries to efficiently extract and manipulate data from databases

• Use Python for data cleaning, analysis, and visualization tasks

• Leverage Excel for organizing and summarizing data in a user-friendly format

• Obtain data from sources like internal databases, ex...read more
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Q4. Guesstimates like how many traffic signals are there in Noida.
Ans. 
There are approximately 500-600 traffic signals in Noida.
• Estimate based on the size and population of Noida

• Consider the number of major intersections and roads in the city

• Take into account the traffic density and need for traffic management

• Consult local traffic authorities for more accurate data
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Q5. The interviewer asked SQL questions related to window functions, joins, and advanced aggregations, such as running sum and rolling sum.
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Q1. Second round is also a technical round and similar to first round . Medium to high level sql questions and questions related to the project you're working on and Guesstimates will be asked by the interview...read more
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Q1. Project manager will take the third round interview and inquire about your knowledge of the company, and some technical and scenario-based questions related to decision-making and problem-solving approach.
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Q1. Final round will be an HR round.
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SQL query to find the top 5 employee having the max salary