Calix Talent Acquisition Coordinator Interview Questions and Answers

Q1. Project based, oops concepts, average dsa questions,
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Q1. More about API automation
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Q1. How do you measure success at work?
Ans. 
Success at work is measured by achieving goals, delivering high-quality work, and receiving recognition.
• Achieving goals set by the team or organization

• Delivering high-quality work that meets or exceeds expectations

• Receiving recognition from colleagues, managers, or clients

• Meeting deadlines and completing tasks efficiently

• Contributing to the overall success of the team or project
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Q2. How many programming languages do you know?
Ans. 
I know multiple programming languages.
• I am proficient in Java, Python, and C++.

• I have experience with web development languages such as HTML, CSS, and JavaScript.

• I am familiar with scripting languages like Bash and PowerShell.

• I have worked with database query languages like SQL.

• I have knowledge of mobile app development languages like Swift and Kotlin.
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Create an API using Notepad to check if a string is a palindrome or not.

Q1. Solid principal
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Q1. Oops? .net core features
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Q1. About work experience
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Q2. About education
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Q1. Machine Learning-related stuff: Confusion Matrix, R2 score, etc.. Also, Python & Statistics.
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Q2. Explain any one project.
Ans. 
Developed a predictive model to forecast customer churn for a telecom company.
• Collected and cleaned customer data including usage patterns and demographics.

• Used machine learning algorithms such as logistic regression and random forest to build the model.

• Evaluated the model's performance using metrics like accuracy, precision, and recall.

• Provided actionable insights to the company based on the model's predictions.
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Q3. Difference between Data Analyst and Data Scientist.
Ans. 
Data Analyst focuses on analyzing data to provide insights, while Data Scientist focuses on using advanced algorithms and machine learning to predict future trends.
• Data Analyst focuses on analyzing data to provide insights for decision-making.

• Data Scientist focuses on using advanced algorithms and machine learning to predict future trends.

• Data Analyst typically works with structured data, while Data Scientist works wit...read more
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Python interview question and coding

Q1. Python related question
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