Apptium Technologies Interview Questions and Answers

Basic aptitude assessment along with some theoretical components.

Q1. Basic questions in Java, SQL and React
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Q1. Project related questions
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Q2. Coding question->Reverse String(World Hello), pattern, prime number
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Given an input dataset, develop an ETL pipeline and create a view to extract information from it.

Q1. Fully based on the submitted assignment and my past experiences in data engineering.
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Q1. Talk about a time you worked in a dysfunctional team
Ans. 
I worked in a dysfunctional team during a project where communication breakdowns and conflicting priorities led to missed deadlines and tension among team members.
• Lack of clear communication and direction from team leaders

• Different team members working on conflicting priorities

• Missed deadlines and tension among team members

• Lack of accountability and responsibility among team members
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Q1. How do agile methodologies function in B2B projects?
Ans. 
Agile methodologies in B2B projects involve frequent communication, adaptability, and collaboration with stakeholders.
• Agile methodologies in B2B projects prioritize customer collaboration and responding to change over following a strict plan.

• Regular feedback from stakeholders helps in adjusting project scope and priorities in real-time.

• Cross-functional teams work together closely to deliver incremental value to the B2B...read more
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Q2. What is your experience with barcode scanners?
Ans. 
I have extensive experience working with barcode scanners in various automation projects.
• Implemented barcode scanning functionality in warehouse management system to track inventory

• Integrated barcode scanners with automated testing tools for regression testing

• Utilized barcode scanners in manufacturing processes to improve efficiency and accuracy
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Q1. GMS Integration and Certification
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Q2. Build process, bug fixing and debugging tools
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Q1. Salary expectations
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Q2. Location specific question
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Q1. Senior Technical Recruitment
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Q2. Documents Required submitted
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Q1. VP round selected
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Q2. Took all rounds
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Q3. Two to three people take interview
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1st round was Aptitude, which is average difficultly level.

2nd round was Group Discussions, here they only check our communication.

Q1. Techincal Round, here the technical questions about our bachgroud were asked. They will ask questions based on our resume.
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Q2. What is Artificial Intelligence?
Ans. 
Artificial Intelligence is the simulation of human intelligence processes by machines, especially computer systems.
• AI involves machines performing tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation.

• Machine learning is a subset of AI that enables machines to learn from data and improve their performance over time.

• Examples of AI applic...read more
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Q3. What is Power BI?
Ans. 
Power BI is a business analytics tool by Microsoft that provides interactive visualizations and business intelligence capabilities.
• Power BI is a data visualization tool used to create interactive reports and dashboards.

• It allows users to connect to various data sources, clean and transform data, and create visually appealing reports.

• Power BI offers a wide range of visualization options such as charts, graphs, maps, and...read more
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Q4. How to load Data in Power BI?
Ans. 
Data can be loaded in Power BI by connecting to various data sources like Excel, SQL databases, online services, etc.
• Connect to data sources by clicking on 'Get Data' in Power BI

• Select the desired data source (e.g. Excel, SQL Server, SharePoint, etc.)

• Choose the specific data tables or queries to import into Power BI

• Transform and clean the data using Power Query Editor if needed

• Load the data into Power BI model for visu
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Q5. Explain about your final year project?
Ans. 
Developed a predictive analytics model for predicting customer churn in a telecom company.
• Used machine learning algorithms like logistic regression and random forest for analysis.

• Performed data preprocessing, feature engineering, and model evaluation.

• Achieved an accuracy of 85% in predicting customer churn.

• Presented findings and recommendations to the telecom company's management team.
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