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LatentView Analytics Data Engineer Interview Questions and Answers

Updated 3 Jan 2025

LatentView Analytics Data Engineer Interview Experiences

3 interviews found

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(4 Questions)

  • Q1. Components of Databricks
  • Ans. 

    Databricks is a unified data analytics platform that includes components like Databricks Workspace, Databricks Runtime, and Databricks Delta.

    • Databricks Workspace: Collaborative environment for data science and engineering teams.

    • Databricks Runtime: Optimized Apache Spark cluster for data processing.

    • Databricks Delta: Unified data management system for data lakes.

  • Answered by AI
  • Q2. How to read a json file
  • Ans. 

    To read a JSON file, use a programming language's built-in functions or libraries to parse the file and extract the data.

    • Use a programming language like Python, Java, or JavaScript to read the JSON file.

    • Import libraries like json in Python or json-simple in Java to parse the JSON data.

    • Use functions like json.load() in Python to load the JSON file and convert it into a dictionary or object.

    • Access the data in the JSON fi...

  • Answered by AI
  • Q3. Second highest salary SQL
  • Ans. 

    To find the second highest salary in SQL, use the MAX function with a subquery or the LIMIT clause.

    • Use the MAX function with a subquery to find the highest salary first, then use a WHERE clause to exclude it and find the second highest salary.

    • Alternatively, use the LIMIT clause to select the second highest salary directly.

    • Make sure to handle cases where there may be ties for the highest salary.

  • Answered by AI
  • Q4. How to configure the spark while creating the cluster
  • Ans. 

    Spark cluster configuration involves setting up memory, cores, and other parameters for optimal performance.

    • Specify the number of executors and executor memory

    • Set the number of cores per executor

    • Adjust the driver memory based on the application requirements

    • Configure shuffle partitions for efficient data processing

    • Enable dynamic allocation for better resource utilization

  • Answered by AI
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Spark and airflow related questions
  • Q2. AWS services and it's related questions

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Data Engineer Interview Questions & Answers

user image Anonymous

posted on 13 Mar 2024

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. NLP based question

Interview questions from similar companies

I was interviewed in Mar 2017.

Interview Questionnaire 

1 Question

  • Q1. Views on their recruiting process
  • Ans. 

    I believe the recruiting process is thorough and well-organized.

    • The company uses a combination of resume screening, interviews, and assessments to evaluate candidates.

    • They have a clear timeline for the hiring process and keep candidates informed of their progress.

    • Feedback is provided to candidates after interviews to help them improve for future opportunities.

  • Answered by AI

Interview Preparation Tips

Round: Test
Experience:
Interview experience
2
Poor
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Job Portal and was interviewed in Mar 2024. There were 3 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. How to decide upon Spark cluster sizing?
  • Ans. 

    Spark cluster sizing depends on workload, data size, memory requirements, and processing speed.

    • Consider the size of the data being processed

    • Take into account the memory requirements of the Spark jobs

    • Factor in the processing speed needed for the workload

    • Scale the cluster based on the number of nodes and cores required

    • Monitor performance and adjust cluster size as needed

  • Answered by AI
  • Q2. Question on Spark internals
Round 2 - Case Study 

Implement a pipeline based on given conditions and data requirement

Round 3 - HR 

(1 Question)

  • Q1. There were no questions as such. They want me join on very next day when the HR discussion was over and started itimidating me with aggressive approach even without discussing the salary part and the benef...

Interview Preparation Tips

Interview preparation tips for other job seekers - I could clear both the rounds and salary discussion was the only thing left I decided not to join the company because of the way HR handled the process.
Based on the HR behaviour, I can say there is no respect for an employee/ candidate.
The behaviour was like as if I am at the mercy of the employer and I don't have any other company in this world.

Skills evaluated in this interview

Data Analyst Interview Questions & Answers

C5i user image Poongodi Vijay

posted on 4 Aug 2024

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(1 Question)

  • Q1. Self intro and technical questions
Round 2 - Technical 

(1 Question)

  • Q1. Its all about statistical analysis
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed before Apr 2023. There were 2 interview rounds.

Round 1 - Aptitude Test 

Basic aptitude, basic reasoning English ah and coding mcq's.

Round 2 - Technical 

(1 Question)

  • Q1. Questions focused on SQL and powerbi.
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. How to build data pipeline
  • Ans. 

    Building a data pipeline involves extracting, transforming, and loading data from various sources to a destination for analysis.

    • Identify data sources and determine the data to be collected

    • Extract data from sources using tools like Apache NiFi or Apache Kafka

    • Transform data using tools like Apache Spark or Python scripts

    • Load data into a destination such as a data warehouse or database

    • Schedule and automate the pipeline fo...

  • Answered by AI
  • Q2. IICS
Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all Resume tips
Round 2 - Aptitude Test 

Easy

Round 3 - Technical 

(1 Question)

  • Q1. Reg previous project and some puzzles
Round 4 - HR 

(2 Questions)

  • Q1. Share details of your previous job.
  • Q2. Why are you looking for a change?

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident about wat you know

I applied via Naukri.com and was interviewed in Feb 2022. There were 3 interview rounds.

Round 1 - Aptitude Test 

It was a genuine test with quite some logical questions of math ,english,ds and some aptitude based which i clearly dont remember thoroughly but crux is mentioned

Round 2 - Technical 

(1 Question)

  • Q1. It was an one on one technical round with hiring personnel of axtria and can be termed easy to intermediate question
Round 3 - One-on-one 

(1 Question)

  • Q1. This was a genuine HR or can say mangerial round where questions usually asked were asked

Interview Preparation Tips

Interview preparation tips for other job seekers - Go on for the job as they are still hiring and just try to stick with basic and as you clear the aptitude test your selection chances increases by much
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LatentView Analytics Interview FAQs

How many rounds are there in LatentView Analytics Data Engineer interview?
LatentView Analytics interview process usually has 1 rounds. The most common rounds in the LatentView Analytics interview process are Technical.
How to prepare for LatentView Analytics Data Engineer interview?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at LatentView Analytics. The most common topics and skills that interviewers at LatentView Analytics expect are Python, AWS, SQL, Spark and Analytics.
What are the top questions asked in LatentView Analytics Data Engineer interview?

Some of the top questions asked at the LatentView Analytics Data Engineer interview -

  1. how to configure the spark while creating the clus...read more
  2. How to read a json f...read more
  3. Components of Databri...read more

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LatentView Analytics Data Engineer Interview Process

based on 4 interviews

1 Interview rounds

  • Technical Round
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₹5 L/yr - ₹13.8 L/yr
26% less than the average Data Engineer Salary in India
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