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Knct Lab Data Associate Interview Questions and Answers
Knct Lab Data Associate Interview Experiences
1 interview found
I was interviewed in May 2017.
Interview Questionnaire
2 Questions
- Q1. How do US companies work to detailed analysis of their data?
- Ans.
US companies work to detailed analysis of their data through various methods and tools.
US companies use data analytics platforms and software to analyze their data.
They employ data scientists and analysts who are skilled in data analysis techniques.
Companies collect and store large amounts of data from various sources.
They use statistical analysis and machine learning algorithms to uncover patterns and insights.
Data vi...
- Q2. Almost all questions related to data solving including statistics ( I don't really remember them)
Interview Preparation Tips
Experience: The interviewer tries to dig deep into every answer you prompt, overtime I got confused with answer maybe due to the fear or vice-versa..as this was my very first interview.
Tips: Be mentally prepared and confident about the interview your attending. At times the interviewer himself wouldn't be knowing the answer, he would just be checking out on your confidence level.
Round: Group Discussion
Experience: We were 5 candidates who had ask to speak about the digital age is adding to more data which is inturn a lot burden to handle them. We had 5 mins to speak for or against it.
Tips: Keep calm, use your grammar right, don't think the interviewer would get impressed by using facy words. they are just checking on your vocabulary, communication including your body language and your confidence level as well.
Duration: 5 minutes
Skills: Communication And Confidence, Vocabulary Skills, Body Language In Interview, Knowledge About Industries, Knowledge About Database Managements Systems
College Name: MLACW
Interview questions from similar companies
(3 Questions)
- Q1. Questions were on my resume
- Q2. And also questions more on SQL and python
- Q3. Asked have you worked on any dash boards
(1 Question)
- Q1. SQL and tableau
Online test on sql join sub query
(1 Question)
- Q1. Final tech round
Interview Preparation Tips
Selected
I applied via Naukri.com and was interviewed before Aug 2023. There were 2 interview rounds.
(2 Questions)
- Q1. SQL written question
- Q2. Two tables info was given and have to retrieve count ofparticular product
(2 Questions)
- Q1. SQL coding question
- Q2. Python coding question
Selected
I applied via Naukri.com and was interviewed before May 2023. There was 1 interview round.
(2 Questions)
- Q1. Explain the projects worked on previous companies and questions related to it
- Q2. Questions bases on time series algorithms
Interview Preparation Tips
Data Processing Associate Interview Questions & Answers
Affinity Express
Rohit Vinayak Jadhav
posted on 18 Mar 2024
Selected
I applied via Walk-in and was interviewed before Mar 2023. There were 4 interview rounds.
Aptitude Test will be given to solve
Assignment will be share on email
(1 Question)
- Q1. One to one wil with manger
(1 Question)
- Q1. Salery discussion
Interview Preparation Tips
I applied via Recruitment Consultant and was interviewed in Aug 2021. There were 3 interview rounds.
Interview Questionnaire
1 Question
- Q1. If you want to know the questions then you are asking the wrong question. You should ask, "how can you crack the interview by being yourself?"
Interview Preparation Tips
Interview Questionnaire
1 Question
- Q1. SQL queries, basic questions on python programming, statistical concepts and basic questions on machine learning algorithms.
I applied via Company Website and was interviewed in Mar 2024. There was 1 interview round.
(1 Question)
- Q1. Questions around SQL, current projects and dataflow-pipelining in project
Interview Preparation Tips
(5 Questions)
- Q1. Spark Context vs Spark Session
- Ans.
Spark Context is the entry point to any Spark functionality while Spark Session is a unified entry point for Spark 2.0+.
Spark Context is the old entry point to Spark functionality.
Spark Session is a unified entry point for Spark 2.0+.
Spark Context is used to create RDDs, accumulators and broadcast variables.
Spark Session is used to create DataFrames, execute SQL queries and read data from external sources.
- Q2. Repartitioning vs Coalesce
- Ans.
Repartitioning increases partitions while Coalesce reduces partitions.
Repartitioning shuffles data across the cluster and can be used to increase parallelism.
Coalesce merges partitions without shuffling data and can be used to reduce overhead.
Repartitioning is expensive and should be used sparingly.
Coalesce is faster but may not be as effective as repartitioning in increasing parallelism.
Both can be used to optimize da
- Q3. Sql query to find Second Highest Salary
- Ans.
Sql query to find Second Highest Salary
Use ORDER BY and LIMIT to select the second highest salary
Use subquery to select the maximum salary and exclude it from the result set
Handle cases where there are ties for the highest salary
- Q4. Internal Working of Spark
- Ans.
Spark is a distributed computing engine that processes large datasets in parallel across a cluster of computers.
Spark uses a master-slave architecture with a driver program that coordinates tasks across worker nodes.
Data is stored in Resilient Distributed Datasets (RDDs) that can be cached in memory for faster processing.
Spark supports multiple programming languages including Java, Scala, and Python.
Spark can be used f...
- Q5. What is Braodcast Join
- Ans.
Broadcast Join is a technique used in distributed computing to optimize join operations.
Broadcast Join is used when one table is small enough to fit in memory of all nodes in a cluster.
The smaller table is broadcasted to all nodes in the cluster, reducing network traffic.
Broadcast Join is faster than other join techniques when used appropriately.
Example: Joining a small reference table with a large fact table in a data
Interview Preparation Tips
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