• Duration: The assessment has a time limit of 15 minutes. You should try to answer all the questions within this time frame.
• Number of Questions: There are a total of 20 questions in the assessment. You will need to answer all of them.
• Attempts: You have only one attempt to answer the questions. Once you submit an answer for a question, you cannot go back to it or change your response.
• Question Format: The questions in the assessment will be related to the basics of the data science, machine learning and deep learning field. The format of the questions may vary, including multiple-choice questions, true or false questions, or fill in the blanks.
• No Negative Marking: There is no penalty for incorrect answers. You will not lose marks for providing wrong answers, so it is better to attempt all the questions.
• Passing Cutoff: In order to pass the assessment, you need to achieve at least 60% marks. The cutoff percentage will be calculated based on your overall score out of 100%.
• No Previous Question Viewing: After you submit an answer for a question, you will not be able to view that question again. The next question will be presented to you immediately.
• Time Management: Given the limited time, it is important to manage your time effectively. Try to allocate an appropriate amount of time to each question based on its complexity. If you are unsure about a question, make your best-educated guess and move on.
• Read Carefully: Take the time to read each question carefully and understand what it is asking before selecting your answer. Pay attention to any keywords or specific instructions provided in the question.
• Answer Accuracy: Try to provide the most accurate and relevant answer for each question based on your knowledge of the basics of  data science, machine learning and deep learning. If you are unsure about a question, make your best-educated guess.
• Preparation: It is recommended to have a good understanding of the fundamentals of data analytics before attempting the assessment. Reviewing key concepts, principles, and techniques will help you perform better.
• Stay Focused: During the assessment, try to stay focused and avoid distractions. Ensure that you have a quiet and comfortable environment to concentrate on the questions.
• Immediate Result: Once you have completed the assessment, you will receive your result immediately. The system will calculate your score based on the number of correct answers you provided.
• Contacting Successful Candidates: After all assessments are over, the team will review the results and contact the candidates who have successfully passed the assessment. If you achieve the required passing cutoff, you will be considered a successful candidate.
• If you were not successful in the current assessment, it is encouraged to try again in the future. The organization values continuous improvement and recognizes that individuals may have different strengths and areas of growth. By enhancing your knowledge and skills, you can increase your chances of success in subsequent assessments. Better Luck Next Time, the organization acknowledges that success may not come on the first attempt. However, they encourage you to maintain a positive outlook and consider it as an opportunity to learn and grow. With persistence and continued effort, you may achieve success in future assessments.

Remember, the purpose of the assessment is to test your knowledge of the basics of the data science, machine learning and deep learning field. By participating in the assessment and being part of the organization’s community, you have the opportunity to showcase your skills, learn from the experience, and pursue future hiring opportunities. Keep a positive mindset, continue developing your knowledge and skills, and better luck next time! By following these rules and preparing adequately, you can give your best attempt. Good luck!