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Digiyoda Data Annotator Interview Questions and Answers
Digiyoda Data Annotator Interview Experiences
1 interview found
Anonymous
(1 Question)
- Q1. Are you available for 3 months internship?
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I applied via Company Website and was interviewed in Dec 2024. There was 1 interview round.
(4 Questions)
- Q1. What is data entry?
- Ans.
Data entry is the process of entering, updating, or verifying data in a computer system.
Entering data accurately and efficiently
Updating existing data with new information
Verifying data for accuracy and completeness
- Q2. What is your experience with data entry?
- Ans.
I have over 3 years of experience in data entry, including entering, verifying, and updating data in various databases.
Proficient in using Microsoft Excel and other data entry software
Accurate and efficient in typing and data entry tasks
Experience in maintaining confidentiality and data integrity
Handled large volumes of data entry tasks with tight deadlines
- Q3. What is difference between c and c++ ?
- Ans.
C is a procedural programming language while C++ is an object-oriented programming language.
C is a procedural programming language, focusing on functions and procedures.
C++ is an object-oriented programming language, allowing for classes, objects, and inheritance.
C does not support classes and objects, while C++ does.
C++ has features like polymorphism, encapsulation, and inheritance which are not present in C.
C++ is an...
- Q4. How you work msword
- Ans.
I am proficient in using MS Word for data entry tasks.
I am skilled in formatting text, tables, and images in MS Word.
I can create and edit documents, including reports, letters, and spreadsheets.
I am familiar with using templates and styles to maintain consistency in documents.
I am experienced in using features like spell check, track changes, and mail merge.
I am efficient in using keyboard shortcuts to speed up data e
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- Data Entry
- C
- HTML
(2 Questions)
- Q1. What is the full form of ETL?
- Ans.
ETL stands for Extract, Transform, Load. It is a process used in data warehousing to extract data from various sources, transform it into a consistent format, and load it into a target database.
ETL stands for Extract, Transform, Load
Extract: Involves extracting data from various sources such as databases, applications, and files
Transform: Involves cleaning, filtering, and transforming the extracted data into a consiste...
- Q2. ETL Full form is Exact, Transform, Load.
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Data Coding, 1hr, series of questions in excel
I applied via Company Website and was interviewed before Mar 2022. There were 5 interview rounds.
Quantitative aptitude, reasoning with time limit
Excel tasks were given. There were total 2 tasks related to excel. 1st one was basic and second one was moderate level of difficulty. SQL queries were basic.
(1 Question)
- Q1. Questions were from the Assignment only. Approach to the problems.
(1 Question)
- Q1. Basic HR questions like strength and weakness, why you want to join this organization
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I applied via Walk-in and was interviewed in Aug 2022. There were 2 interview rounds.
(7 Questions)
- Q1. What is your Qualification
- Q2. What's your expectation regarding your Salary
- Q3. What is your family background
- Q4. How old are you are you twenty years old
- Q5. What is your highest qualification
- Q6. Is your brother working
- Q7. If so Work From Home
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I applied via Naukri.com and was interviewed in Aug 2024. There was 1 interview round.
(5 Questions)
- Q1. Why should hire you?
- Q2. What are your salary expectations?
- Q3. What are your strengths?
- Q4. Tell me about your self?
- Q5. What are your hobbies?
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Distinguish yourself by working hard
(2 Questions)
- Q1. What is overfitting in machine learning?
- Ans.
Overfitting occurs when a machine learning model learns the training data too well, including noise and outliers, leading to poor generalization on new data.
Overfitting happens when a model is too complex and captures noise in the training data.
It leads to poor performance on unseen data as the model fails to generalize well.
Techniques to prevent overfitting include cross-validation, regularization, and early stopping.
...
- Q2. Overfitting accurs when a model learns the details.......etc
- Ans.
Overfitting occurs when a model learns the details and noise in the training data to the extent that it negatively impacts the model's performance on new data.
Overfitting happens when a model is too complex and captures noise in the training data.
It leads to poor generalization and high accuracy on training data but low accuracy on new data.
Techniques to prevent overfitting include cross-validation, regularization, and...
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Pranav Chowdhary
Code signal , SQL python questions
Take home coding assignment - 10 days analysis and recommendations
(1 Question)
- Q1. 4 rounds - 1 behavioralm 2 case studies 1 presentation
Interview Questionnaire
1 Question
- Q1. Situation based question on experience
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Digiyoda Data Annotator Reviews and Ratings
based on 2 reviews
Rating in categories
|
Process Associate
26
salaries
|  ₹1.2 L/yr - ₹3 L/yr |
|
Data Analyst
4
salaries
| ₹1.2 L/yr - ₹2.2 L/yr |
|
Data Annotation Engineer
4
salaries
| ₹1.2 L/yr - ₹3.4 L/yr |
|
Data Annotator
3
salaries
| ₹1 L/yr - ₹1.2 L/yr |
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