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Vernacular.AI Data Associate Interview Questions and Answers
Vernacular.AI Data Associate Interview Experiences
1 interview found
Anonymous
I applied via Referral and was interviewed before Jun 2021. There were 3 interview rounds.
It was easy assignment
(4 Questions)
- Q1. Why do you want to join skit.ai
- Q2. What is data annotation
- Ans.
Data annotation is the process of labeling or tagging data to make it understandable for machines.
It involves adding metadata to data sets
It helps in training machine learning models
Examples include labeling images with objects or sentiments in text
It can be done manually or with the help of tools
It is important for improving accuracy and efficiency of AI systems
- Q3. How did you come to know about skit.ai
- Q4. Do you know about what is the role of ai or bots
- Ans.
AI or bots are computer programs designed to perform tasks that typically require human intelligence.
AI and bots can be used for various purposes such as customer service, data analysis, and automation of repetitive tasks.
They can be trained to learn from data and improve their performance over time.
Examples of AI and bots include chatbots, virtual assistants, and recommendation systems.
AI and bots have the potential t...
(1 Question)
- Q1. Where are you from ? tell me about yourself & give your background to me
Interview Preparation Tips
- Data annotation
- voice annotation
- how to bots work
Skills evaluated in this interview
Top trending discussions
Interview questions from similar companies
Selected
I applied via Naukri.com and was interviewed in Dec 2024. There were 2 interview rounds.
(2 Questions)
- Q1. On Project from resume
- Q2. GenAI basics
(2 Questions)
- Q1. RAG, LLM, Azure OpenAI
- Q2. Python questions
Interview Preparation Tips
- genai
- Python
- Llm
I applied via AmbitionBox and was interviewed in Dec 2024. There were 2 interview rounds.
Aptitude test for selection.
(2 Questions)
- Q1. What is your understanding of data analytics?
- Ans.
Data analytics involves analyzing raw data to draw conclusions and make informed decisions.
Data analytics involves collecting, processing, and analyzing data to identify trends and patterns.
It helps businesses make data-driven decisions and improve performance.
Techniques used in data analytics include data mining, machine learning, and statistical analysis.
Examples of data analytics in action include predicting custome...
- Q2. What is the significance of data analytics in analyzing and visualizing data?
- Ans.
Data analytics is crucial for extracting insights and patterns from data, and visualizing them in a meaningful way.
Data analytics helps in identifying trends, patterns, and correlations within large datasets.
It enables businesses to make informed decisions based on data-driven insights.
Visualizations such as charts, graphs, and dashboards make complex data easier to understand and interpret.
Data analytics can uncover h...
Interview Preparation Tips
I applied via Naukri.com and was interviewed in Dec 2024. There were 2 interview rounds.
It was well designed
(2 Questions)
- Q1. Basic Questions about data warehousing
- Q2. Dbt Scenarios
Interview Preparation Tips
Selected
I applied via Approached by Company and was interviewed in Nov 2024. There were 3 interview rounds.
(1 Question)
- Q1. Basicn details to check for qualifications
(1 Question)
- Q1. About my projects
(1 Question)
- Q1. More details about ML models
Selected
I applied via Company Website and was interviewed in Jul 2024. There were 5 interview rounds.
(1 Question)
- Q1. Basic ml related questions,past project discussion
(1 Question)
- Q1. AI, ML related, statistical analysis of the graph.
(1 Question)
- Q1. Work culture, check
(1 Question)
- Q1. Work culture, project discussion, scenario based questions
(1 Question)
- Q1. Basic HR questions, why sap salary discussions
Selected
I was interviewed before Feb 2024.
Written test, asked general question for testing our skills
(2 Questions)
- Q1. Asked about me and why you are choosing our company
- Q2. Asked regarding my internship project
(2 Questions)
- Q1. Asked my goals and future planning
- Q2. Asked about my weakness and strength
Interview Preparation Tips
(2 Questions)
- Q1. Cache vs persist
- Ans.
Cache is used for temporary storage of data in memory, while persist is used for saving data to disk for long-term storage.
Cache is typically faster as it stores data in memory for quick access.
Persist saves data to disk for durability and long-term storage.
Cache is often used for temporary data that can be recomputed if lost, while persist is used for important data that needs to be retained.
Examples: Using cache for ...
- Q2. Broadcast join and other optimization techniques
(4 Questions)
- Q1. Sql window function
- Q2. Spark architecture, dataframe vs rdd
- Q3. Python reverse sentence
- Ans.
Reverse a sentence using Python
Split the sentence into words using split() method
Reverse the list of words using list slicing
Join the reversed list of words back into a sentence using join() method
- Q4. Join based on nulls in sql
Skills evaluated in this interview
Data Entry Operator Interview Questions & Answers
Microsoft Corporation
Mohammad Ali Khan
posted on 30 May 2024
I applied via Approached by Company and was interviewed in Apr 2024. There was 1 interview round.
(7 Questions)
- Q1. I am a data entry operator
- Q2. I am a Data entry operator .
- Ans. I am a data entry operator.
- Q3. I am Excel entry operator
- Q4. Hindi typing speed 16
- Q5. English typing speed 20
- Q6. Fesser no experience
- Q7. Data entry operator
Interview Preparation Tips
I applied via Referral and was interviewed in Mar 2024. There were 2 interview rounds.
(1 Question)
- Q1. Basic of python , sql, pandas,niumpy
(1 Question)
- Q1. Gave me a task to make web app for medical condition detection after clearing first round asked questions relted to it
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Vernacular.AI Data Associate Reviews and Ratings
based on 1 review
Rating in categories
|
Data Associate
9
salaries
|  ₹2 L/yr - ₹3 L/yr |
|
Data Annotator
5
salaries
| ₹1.8 L/yr - ₹2.6 L/yr |
|
Sales Development Representative
4
salaries
| ₹5 L/yr - ₹9.6 L/yr |
|
Machine Learning Engineer
3
salaries
| ₹12.4 L/yr - ₹17 L/yr |
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