AmbitionBox
Interview Questions
- Reviews
- Salaries
- Interview Questions
- About Company
- Benefits
- Jobs
- Office Photos
- Community
Add office photos
Filter interviews by
LatentView Analytics Data Engineer Interview Questions and Answers
LatentView Analytics Data Engineer Interview Experiences
3 interviews found
Anonymous
(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.
- 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...
- 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.
- 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
(2 Questions)
- Q1. Spark and airflow related questions
- Q2. AWS services and it's related questions
(1 Question)
- Q1. NLP based question
Top trending discussions
Interview questions from similar companies
Medium level of coding questions.
(2 Questions)
- Q1. About azure data factory
- Q2. How to copy multiple csv into single file
- Ans.
Use a command line tool like cat to concatenate multiple CSV files into a single file
Use the cat command in the terminal to concatenate multiple CSV files into a single file
Navigate to the directory where the CSV files are located
Run the command 'cat file1.csv file2.csv > combined.csv' to merge file1.csv and file2.csv into a new file named combined.csv
(2 Questions)
- Q1. What is hdinsights in azure data factory
- Ans.
HDInsight is a cloud-based service in Azure that makes it easy to process big data using Apache Hadoop, Spark, and other tools.
HDInsight is a fully managed cloud service that makes it easy to process big data using open-source frameworks like Apache Hadoop, Spark, and more.
It allows you to create, scale, and monitor Hadoop clusters in Azure.
HDInsight integrates with Azure Data Factory to provide data orchestration and ...
- Q2. How to perform data copy in azure
- Ans.
Data copy in Azure can be performed using Azure Data Factory or Azure Storage Explorer.
Use Azure Data Factory to create data pipelines for copying data between various sources and destinations.
Use Azure Storage Explorer to manually copy data between Azure storage accounts.
Utilize Azure Blob Storage for storing the data to be copied.
(2 Questions)
- Q1. Expectations in the company
- Q2. Ctc and relevant stuff
Skills evaluated in this interview
Selected
I applied via Approached by Company and was interviewed before May 2023. There were 2 interview rounds.
(2 Questions)
- Q1. Project history
- Q2. Tech stack used
- Ans.
Our tech stack includes Python, SQL, Apache Spark, Hadoop, AWS, and Docker.
Python is used for data processing and analysis
SQL is used for querying databases
Apache Spark is used for big data processing
Hadoop is used for distributed storage and processing
AWS is used for cloud infrastructure
Docker is used for containerization
(2 Questions)
- Q1. Handled team or not?
- Q2. Project experience
Interview Preparation Tips
- GCP
- Python
- SQL
- Data Warehousing
Skills evaluated in this interview
(1 Question)
- Q1. Tell me about yourself.
Interview Preparation Tips
(1 Question)
- Q1. Tell me about yourself.
Interview Preparation Tips
Sumana Sumana
Online aptitude test have been coundected
(1 Question)
- Q1. About the data procesig and projects on data science
Selected
I applied via Walk-in and was interviewed before Jul 2022. There were 3 interview rounds.
This was basic test it was easy
(2 Questions)
- Q1. Here all question are based on my resume
- Q2. Explain your project What kind of work you did
Interview Preparation Tips
I appeared for an interview in Jan 2025.
(3 Questions)
- Q1. Tell me about yourself
- Q2. Asked All SQL Syllabus
- Q3. Asked All Power Bi concepts
Interview Preparation Tips
LatentView Analytics Interview FAQs
Tell us how to improve this page.
LatentView Analytics Interviews By Designations
- LatentView Analytics Analyst Interview Questions
- LatentView Analytics Data Analyst Interview Questions
- LatentView Analytics Senior Analyst Interview Questions
- LatentView Analytics Data Engineer Interview Questions
- LatentView Analytics Senior Data Engineer Interview Questions
- LatentView Analytics Software Developer Interview Questions
- LatentView Analytics Business Analyst Interview Questions
- LatentView Analytics Senior Data Analyst Interview Questions
- Show more
Interview Questions for Popular Designations
- Senior Data Engineer Interview Questions
- Big Data Engineer Interview Questions
- Software Engineer Interview Questions
- Senior Software Engineer Interview Questions
- Database Admin Interview Questions
- Data Analyst Interview Questions
- System Engineer Interview Questions
- Associate Software Engineer Interview Questions
- Show more
LatentView Analytics Data Engineer Interview Process
based on 4 interviews
1 Interview rounds
- Technical Round
Interview Questions from Similar Companies
Fast track your campus placements
LatentView Analytics Data Engineer Reviews and Ratings
based on 13 reviews
Rating in categories
|
Senior Analyst
332
salaries
|  ₹7.2 L/yr - ₹19 L/yr |
|
Data Analyst
298
salaries
| ₹5 L/yr - ₹10 L/yr |
|
Analyst
244
salaries
| ₹4 L/yr - ₹12.8 L/yr |
|
Assistant Manager
241
salaries
| ₹14 L/yr - ₹26.3 L/yr |
|
Data Engineer
121
salaries
| ₹5 L/yr - ₹13.8 L/yr |
Tekwissen
Damco Solutions
smartData Enterprises
In Time Tec Visionsoft
- Home >
- Interviews >
- LatentView Analytics Interview Questions >
- LatentView Analytics Data Engineer Interview Questions
