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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
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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.
The aptitude test lasts 30 minutes and focuses on topics relevant to data engineering, including Spark, SQL, Azure, and PySpark.
The coding test is a one-hour examination on PySpark.
(3 Questions)
- Q1. What is the difference between Cache() and Persist()?
- Q2. What does the purpose of the Spark Submit command in Apache Spark?
- Q3. What are window functions in SQL?
(2 Questions)
- Q1. Could you provide more details about the daily responsibilities associated with this role?
- Q2. How would you describe your work culture?
Data Engineer Interview Questions & Answers
Virtusa Consulting Services
SHIKHA
posted on 31 Dec 2024
(4 Questions)
- Q1. What is the architecture of Apache Spark?
- Ans.
Apache Spark architecture includes a cluster manager, worker nodes, and driver program.
Apache Spark architecture consists of a cluster manager, which allocates resources and schedules tasks.
Worker nodes execute tasks and store data in memory or disk.
Driver program coordinates tasks and communicates with the cluster manager.
Spark applications run as independent sets of processes on a cluster, coordinated by the SparkCon...
- Q2. What is the difference between the reduceBy and groupBy transformations in Apache Spark?
- Ans.
reduceBy is used to aggregate data based on key, while groupBy is used to group data based on key.
reduceBy is a transformation that combines the values of each key using an associative function and a neutral 'zero value'.
groupBy is a transformation that groups the data based on a key and returns a grouped data set.
reduceBy is more efficient for aggregating data as it reduces the data before shuffling, while groupBy shu...
- Q3. What is the difference between RDD (Resilient Distributed Datasets) and DataFrame in Apache Spark?
- Ans.
RDD is a low-level abstraction representing a distributed collection of objects, while DataFrame is a higher-level abstraction representing a distributed collection of data organized into named columns.
RDD is more suitable for unstructured data and low-level transformations, while DataFrame is more suitable for structured data and high-level abstractions.
DataFrames provide optimizations like query optimization and code...
- Q4. What are the different modes of execution in Apache Spark?
- Ans.
The different modes of execution in Apache Spark include local mode, standalone mode, YARN mode, and Mesos mode.
Local mode: Spark runs on a single machine with one executor.
Standalone mode: Spark runs on a cluster managed by a standalone cluster manager.
YARN mode: Spark runs on a Hadoop cluster using YARN as the resource manager.
Mesos mode: Spark runs on a Mesos cluster with Mesos as the resource manager.
Selected
I applied via AmbitionBox and was interviewed in Nov 2024. There were 4 interview rounds.
(2 Questions)
- Q1. About your self
- Q2. Communication skills
(3 Questions)
- Q1. Programming language
- Q2. What tools do you utilize for data analysis?
- Ans.
I utilize tools such as Excel, Python, SQL, and Tableau for data analysis.
Excel for basic data manipulation and visualization
Python for advanced data analysis and machine learning
SQL for querying databases
Tableau for creating interactive visualizations
- Q3. Pandas numpy seaborn matplot
Data analysis of code in the context of data analysis.
Coding logical question paper.
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
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
Vishwajit Kumar
I was interviewed in Dec 2024.
(2 Questions)
- Q1. Windows function-related questions.
- Q2. Join Related Questions.
(2 Questions)
- Q1. Join related Questions
- Q2. Subqueries related queations.
Data Science Intern Interview Questions & Answers
Bosch Global Software Technologies
Anonymous
posted on 26 Nov 2024
Selected
I applied via Campus Placement
It was related to Aptitude MCQ and 2-coding test
(3 Questions)
- Q1. Palindrome of a number
- Ans.
A palindrome of a number is a number that remains the same when its digits are reversed.
To check if a number is a palindrome, reverse the number and compare it with the original number.
Examples: 121 is a palindrome, 123 is not a palindrome.
- Q2. Merge 2linked list
- Ans.
Merging two linked lists involves combining the elements of both lists into a single list.
Create a new linked list to store the merged elements
Traverse through both linked lists and add elements to the new list
Handle cases where one list is longer than the other
- Q3. About projects you have done
(2 Questions)
- Q1. Explain your resume fully
- Q2. General questions on the behaviour
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...
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Artivatic Data Labs Data Annotation Engineer Interview Process
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