Systech Solutions Interview Questions, Process, and Tips

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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Q1. Self introduction
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Q2. Basic knowledge about job
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Q1. 2 wire 3 wire
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Q2. What is feedback
Ans. 
Feedback is information about reactions to a product, service, or process that is used as a basis for improvement.
• Feedback is essential for continuous improvement in automation engineering.

• It can come from various sources such as customers, stakeholders, or testing results.

• Feedback can be positive, negative, or neutral, and should be analyzed to make informed decisions.

• Examples of feedback in automation engineering inc...read more
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Q3. What is Timer counters
Ans. 
Timer counters are devices used to count the number of events or time intervals in automation systems.
• Timer counters are used to measure time intervals or count events in automation systems.

• They are commonly used in PLCs (Programmable Logic Controllers) to control processes.

• Timer counters can be programmed to trigger actions based on specific time intervals or event counts.

• Examples include using a timer counter to turn...read more
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Q4. What is PLC type
Ans. 
PLC stands for Programmable Logic Controller, a type of industrial computer used to control manufacturing processes.
• PLCs are used to automate processes in industries such as manufacturing, automotive, and food processing.

• They are programmed using ladder logic or other programming languages to control machinery and equipment.

• PLCs can monitor inputs from sensors and other devices, make decisions based on logic, and contr...read more
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Q5. About past experience
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Q1. What is data warehousing
Ans. 
Data warehousing is the process of collecting, storing, and managing data from various sources for analysis and reporting.
• Data warehousing involves extracting data from multiple sources

• Data is then transformed and loaded into a central repository

• The data can be used for analysis, reporting, and decision-making

• Examples include data warehouses used by businesses to analyze sales data
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