Add office photos
Filter interviews by
Artivatic Data Labs Data Annotation Engineer Interview Questions and Answers
Artivatic Data Labs Data Annotation Engineer Interview Experiences
1 interview found
Selected
I applied via LinkedIn and was interviewed before Feb 2023. There were 2 interview rounds.
(1 Question)
- Q1. Intro, Strengths
(2 Questions)
- Q1. Medical terminology
- Q2. Typing speed and report reading
Interview questions from similar companies
RISHABH Pal
Selected
I applied via Naukri.com and was interviewed in Nov 2024. There were 2 interview rounds.
The Aptitude Test session accesses mathematical and logical reasoning abilities
(6 Questions)
- Q1. What is Vlookup
- Ans.
Vlookup is a function in Excel used to search for a value in a table and return a corresponding value from another column.
Vlookup stands for 'Vertical Lookup'
It is commonly used in Excel to search for a value in the leftmost column of a table and return a value in the same row from a specified column
Syntax: =VLOOKUP(lookup_value, table_array, col_index_num, [range_lookup])
Example: =VLOOKUP(A2, B2:D10, 3, FALSE) - searc...
- Q2. Some IF else Question in Excel
- Q3. What does your day in your previous organization look like?
- Ans.
My day in my previous organization involved analyzing large datasets, creating reports, and presenting findings to stakeholders.
Reviewing and cleaning large datasets to ensure accuracy
Creating visualizations and reports to communicate insights
Collaborating with team members to identify trends and patterns
Presenting findings to stakeholders in meetings or presentations
- Q4. Could you share the technical skills you possess?
- Ans.
I possess strong technical skills in data analysis, including proficiency in programming languages, statistical analysis, and data visualization tools.
Proficient in programming languages such as Python, R, SQL
Skilled in statistical analysis and data modeling techniques
Experience with data visualization tools like Tableau, Power BI
Knowledge of machine learning algorithms and techniques
- Q5. Can you explain what a Pivot Table is?
- Ans.
A Pivot Table is a data summarization tool used in spreadsheet programs to analyze, summarize, and present data in a tabular format.
Pivot tables allow users to reorganize and summarize selected columns and rows of data to obtain desired insights.
Users can easily group and filter data, perform calculations, and create visualizations using pivot tables.
Pivot tables are commonly used in Excel and other spreadsheet program...
- Q6. Find the Highest-paid employee in each department along with their salary and department name.
- Ans.
To find the highest-paid employee in each department, we need to group employees by department and then select the employee with the highest salary in each group.
Group employees by department
Find the employee with the highest salary in each group
Retrieve the employee's name, salary, and department name
Interview Preparation Tips
- SQL
- Excel
- Problem Solving
- PowerBI
- SQL Queries
Be prepared to discuss past challenges and how did you overcome.
I applied via Naukri.com and was interviewed in Oct 2024. There were 2 interview rounds.
(2 Questions)
- Q1. Azure Scenario based questions
- Q2. Pyspark Coding based questions
(2 Questions)
- Q1. ADF, Databricks related question
- Q2. Spark Performance problem and scenarios
- Ans.
Spark performance problems can arise due to inefficient code, data skew, resource constraints, and improper configuration.
Inefficient code can lead to slow performance, such as using collect() on large datasets.
Data skew can cause uneven distribution of data across partitions, impacting processing time.
Resource constraints like insufficient memory or CPU can result in slow Spark jobs.
Improper configuration settings, su...
Skills evaluated in this interview
I applied via Job Fair and was interviewed in Nov 2024. There were 2 interview rounds.
(2 Questions)
- Q1. DAX Related Syntax and Codes
- Q2. Data Modelling, SQL, Python
(1 Question)
- Q1. No Response from HR after calling of selection after Round 1
I applied via Company Website and was interviewed in Sep 2024. There were 2 interview rounds.
Platform - Hackerank
Duration - 2 Hours
Topics - Spark and SQL
(3 Questions)
- Q1. What are the common file formats used in data storages? Which one is best for compression?
- Ans.
Common file formats used in data storages include CSV, JSON, Parquet, Avro, and ORC. Parquet is best for compression.
CSV (Comma-Separated Values) - simple and widely used, but not efficient for large datasets
JSON (JavaScript Object Notation) - human-readable and easy to parse, but can be inefficient for storage
Parquet - columnar storage format that is highly efficient for compression and query performance
Avro - efficie...
- Q2. SQL Problem - Given the empoyee attendance table, write a query to print the employees who is abscent for more than cosecutive 10 days in their tenure.
- Q3. Given the list of words, write the Python program to print the most repeating substring out of all words.
- Ans.
Python program to find the most repeating substring in a list of words.
Iterate through each word in the list
Generate all possible substrings for each word
Count the occurrences of each substring using a dictionary
Find the substring with the highest count
Interview Preparation Tips
Skills evaluated in this interview
I applied via Naukri.com and was interviewed in Nov 2024. There was 1 interview round.
(2 Questions)
- Q1. How do you utilize the enhanced optimization option in AWS Glue?
- Ans.
Enhanced optimization in AWS Glue improves job performance by automatically adjusting resources based on workload
Enhanced optimization in AWS Glue automatically adjusts resources like DPUs based on workload
It helps improve job performance by optimizing resource allocation
Users can enable enhanced optimization in AWS Glue job settings
- Q2. What are the best practices for optimizing querying in Amazon Redshift?
- Ans.
Optimizing querying in Amazon Redshift involves proper table design, distribution keys, sort keys, and query optimization techniques.
Use appropriate distribution keys to evenly distribute data across nodes for parallel processing.
Utilize sort keys to physically order data on disk, reducing the need for sorting during queries.
Avoid using SELECT * and instead specify only the columns needed to reduce data transfer.
Use AN...
Abhishek Paithankar
Aptitude test involved with quantative aptitude, logical reasoning and reading comprehensions.
(2 Questions)
- Q1. Tell me your introduction.
- Q2. Tell me about your skills.
- Ans.
I have strong skills in data processing, ETL, data modeling, and programming languages like Python and SQL.
Proficient in data processing and ETL techniques
Strong knowledge of data modeling and database design
Experience with programming languages like Python and SQL
Familiarity with big data technologies such as Hadoop and Spark
(2 Questions)
- Q1. Are you ready relocate,?
- Ans.
Yes, I am open to relocating for the right opportunity.
I am willing to relocate for the right job opportunity.
I have experience moving for previous roles.
I am flexible and adaptable to new locations.
I am excited about the possibility of exploring a new city or country.
- Q2. Document verification
Interview Preparation Tips
Data Engineer Interview Questions & Answers
Virtusa Consulting Services
Anonymous
posted on 11 Dec 2024
(2 Questions)
- Q1. What is PySpark, and can you explain its features and uses?
- Ans.
PySpark is a Python API for Apache Spark, used for big data processing and analytics.
PySpark is a Python API for Apache Spark, a fast and general-purpose cluster computing system.
It allows for easy integration with Python libraries and provides high-level APIs in Python.
PySpark can be used for processing large datasets, machine learning, real-time data streaming, and more.
It supports various data sources such as HDFS, ...
- Q2. What is the difference between PySpark and Python?
- Ans.
PySpark is a Python API for Apache Spark, while Python is a general-purpose programming language.
PySpark is specifically designed for big data processing using Spark, while Python is a versatile programming language used for various applications.
PySpark allows for distributed computing and parallel processing, while Python is primarily used for sequential programming.
PySpark provides libraries and tools for working wit...
Oracle Database Administrator Interview Questions & Answers
Sutherland Global Services
Anonymous
posted on 28 Sep 2024
Selected
I applied via Campus Placement and was interviewed in Aug 2024. There were 8 interview rounds.
Database Management system SQL and PlSQL
Database Base Management system SQL and PlSQL
Database Management system
Database Management system
Database Management system
Database Management system
Database Base Management system
(5 Questions)
- Q1. Database Management system
- Q2. SQL and PlSQL Mango Data And Manu Database Management system
- Q3. C Language and C++Language and Java
- Q4. Data Analysis and Data entry
- Q5. DBMS C,C++ Java Data Entry Ms Excel Ms Word Ms PP
Interview Preparation Tips
Oracle Database Administrator Interview Questions & Answers
Hexaware Technologies
Anonymous
posted on 22 Oct 2024
(2 Questions)
- Q1. How to sync primary and standby?
- Ans.
Primary and standby databases can be synced using Data Guard in Oracle.
Configure Data Guard on primary and standby databases
Enable redo transport services
Monitor and resolve any synchronization issues
Perform switchover or failover when necessary
- Q2. Performance tuning?
(2 Questions)
- Q1. Why you want to change the job?
- Ans.
Seeking new challenges and growth opportunities in a dynamic environment.
Looking for new challenges to enhance my skills and knowledge
Seeking growth opportunities for career advancement
Interested in working in a more dynamic and innovative environment
- Q2. Expected salary.
Skills evaluated in this interview
Artivatic Data Labs Interview FAQs
Tell us how to improve this page.
Interview Questions for Popular Designations
- Data Annotator Interview Questions
- Data Analyst Interview Questions
- Data Engineer Interview Questions
- Data Scientist Interview Questions
- Data Entry Operator Interview Questions
- Senior Data Engineer Interview Questions
- Senior Data Analyst Interview Questions
- Senior Data Scientist Interview Questions
- Show more
People are getting interviews through
Interview Questions from Similar Companies
|
Front end Developer
8
salaries
|  ₹7 L/yr - ₹9.2 L/yr |
|
Software Engineer
5
salaries
| ₹8 L/yr - ₹13.6 L/yr |
|
Quality Analyst
5
salaries
| ₹3.3 L/yr - ₹5 L/yr |
|
Data Annotation Engineer
5
salaries
| ₹3 L/yr - ₹4 L/yr |
|
Product Manager
4
salaries
| ₹17.5 L/yr - ₹17.5 L/yr |
Fractal Analytics
Mu Sigma
Algonomy
Tiger Analytics
Calculate your in-hand salary
- Home >
- Interviews >
- Artivatic Data Labs Interview Questions >
- Artivatic Data Labs Data Annotation Engineer Interview Questions
