Carelon Global Solutions Data Management Associate Interview Questions and Answers

Basic Python, SQL, and Bash questions

Q1. SQL questions with operations that include changing from string to array. Tip: stick to RDBMS-specific dialects only (like Postgres), I used Spark SQL
Add your answer
Q2. Simple Python questions with a follow-up to optimise it
Add your answer
Q3. Bash script-based questions, are pretty basic.
Add your answer
Q4. Data pipeline design and best practices.
Ans. 
Data pipeline design involves creating a system to efficiently collect, process, and analyze data.
• Understand the data sources and requirements before designing the pipeline.

• Use tools like Apache Kafka, Apache NiFi, or AWS Glue for data ingestion and processing.

• Implement data validation and error handling mechanisms to ensure data quality.

• Consider scalability and performance optimization while designing the pipeline.

• Doc...read more
Answered by AI
Add your answer

Q1. Easy to medium Leetcode-based question. With moderate difficulty.
Add your answer
Q2. Simple Python-based question with optimisation.
Add your answer
Q3. Design specific questions based on Data pipelines.
Add your answer

Q1. SQL-based question with moderate difficulty.
Add your answer
Q2. Python-based questions, follow questions with some optimisations.
Add your answer
Q3. Bash-script based round.
Add your answer

It is nice to do work

It helps in understanding the 5

It helps a lot in company

Q1. How to do job in company?
Add your answer
Q2. What I should do?
Add your answer
Q3. How to do work?
Add your answer
Q4. What should I do
Add your answer
Q5. What is the goal?
Ans. 
The goal of a Data Analyst is to analyze data to extract valuable insights and make data-driven decisions.
• Identify trends and patterns in data

• Create visualizations to communicate findings

• Provide actionable recommendations based on data analysis
Answered by AI
Add your answer

Q1. Question about Googlyness
Add your answer
Q2. Question about Google Lens, a RCA question
Add your answer

Q1. What is bigadata
Ans. 
Big data refers to large and complex data sets that are difficult to process using traditional data processing applications.
• Big data involves large volumes of data

• It includes data from various sources such as social media, sensors, and business transactions

• Big data requires specialized tools and technologies for processing and analysis
Answered by AI
Add your answer
Q2. How spark works
Ans. 
Spark is a distributed computing framework that processes big data in memory and is known for its speed and ease of use.
• Spark is a distributed computing framework that can process data in memory for faster processing.

• It uses Resilient Distributed Datasets (RDDs) for fault-tolerant distributed data processing.

• Spark provides high-level APIs in Java, Scala, Python, and R for ease of use.

• It supports various data sources li...read more
Answered by AI
Add your answer
Q3. Explain your application
Ans. 
Our application is a data engineering platform that processes and analyzes large volumes of data to provide valuable insights.
• Our application uses various data processing techniques such as ETL (Extract, Transform, Load) to clean and transform raw data into usable formats.

• We utilize big data technologies like Hadoop, Spark, and Kafka to handle large datasets efficiently.

• The application also includes machine learning al...read more
Answered by AI
Add your answer

Q1. I am a data entry operator
Add your answer
Q2. I am a Data entry operator .
Ans. I am a data entry operator.
Answered by Mohammad Ali Khan
Add your answer
Q3. I am Excel entry operator
Add your answer
Q4. Hindi typing speed 16
Add your answer
Q5. English typing speed 20
Add your answer
Q6. Fesser no experience
Add your answer
Q7. Data entry operator
Add your answer

Q1. Basic of python , sql, pandas,niumpy
Add your answer

Q1. Gave me a task to make web app for medical condition detection after clearing first round asked questions relted to it
Add your answer

Q1. Explain surrogate key
Ans. 
Surrogate key is a unique identifier used in databases to uniquely identify each record in a table.
• Surrogate keys are typically generated by the system and have no business meaning.

• They are used to simplify database operations and improve performance.

• Example: Using an auto-incrementing integer column as a surrogate key in a table.
Answered by AI
Add your answer