Fortrea Development India Private Limited Executive Regulatory Affairs Interview Questions and Answers

Q1. Machine Learning Questions
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Q1. Tell me abut your self
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Q1. What has motivated you to pursue this opportunity?
Ans. 
I am motivated to pursue this opportunity because of my passion for data analysis and the potential to make a meaningful impact.
• Passion for data analysis

• Desire to make a meaningful impact

• Opportunity to utilize skills and knowledge

• Interest in the company/industry

• Potential for career growth and development
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Sas coding test with good questions.

Q1. Unprofessional. Whole team was on audio only the interviewee was on video. Questions were more on your history rather than on technologies.
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Q2. NO response from Hr afterwards.
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Q1. Mostly Manager ask from the CV Overall Experience in CDM right from STUDY START UP TO CLOSE OUT ACTIVITIES, EDC TOOLS WORKED ON
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Q2. Explain phases in CDM
Ans. 
CDM stands for Common Data Model. It has three phases: Conceptualization, Design, and Maintenance.
• Conceptualization phase involves understanding the data requirements and defining the scope of the project.

• Design phase includes creating the data model, schema, and data flow diagrams.

• Maintenance phase focuses on data quality, data integration, and ongoing updates to the data model.
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Logical, grammatical, life science and

Q1. Exlpain what is eTMF, phases of clinical trial.
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Q2. What Is TMF and how many sections are available in etmf.
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Q3. What is FDA 1572
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Q1. What is current ctc
Ans. 
Current CTC refers to the current annual salary package of the candidate.
• Current CTC is the total annual salary package including all components like base salary, bonuses, and benefits.

• Candidates should be honest about their current CTC during interviews.

• Employers ask for current CTC to understand the candidate's salary expectations and to assess their fit for the role.
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Q2. What is rob role and work
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The test was simple basic aptitude

Q1. Desribe your project
Ans. 
Developed a predictive model to forecast customer churn for a telecom company
• Used machine learning algorithms such as logistic regression and random forest

• Performed data preprocessing and feature engineering to improve model accuracy

• Evaluated model performance using metrics like accuracy, precision, and recall
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Q2. Skills and related questions
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Easy Aptitude to start with

Python & SQL programming questions

Q1. Python question
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Q2. SQL query question
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