Vista Data Engineer Interview Questions and Answers

They asked various questions on guestimates and few SQL Questions

Q1. They asked questions on spark, SQL and Python
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Q2. They asked questions on ADF as well
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Q1. They majorly focused on PySpark and ADF in this round
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Q2. They focused on the project also in this round
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Q1. They focused on managerial-related questions in this round
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Q1. List vs tuple ?
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Q2. What is Slowly changing dimension
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Q1. What is Databricks, Internals of it, Optimization technique
Ans. 
Databricks is a unified analytics platform that provides a collaborative environment for data scientists, engineers, and analysts.
• Databricks is built on top of Apache Spark, providing a unified platform for data engineering, data science, and business analytics.

• Internals of Databricks include a cluster manager, job scheduler, and workspace for collaboration.

• Optimization techniques in Databricks include query optimizati...read more
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Q2. SQL questions of joins,group by
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Q1. Scenario based azure data factory questions
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Q2. Project structres, pyspark dataframes related
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Q1. What Volume of data have you handled in your POCs ?
Ans. 
I have handled terabytes of data in my POCs, including data from various sources and formats.
• Handled terabytes of data in POCs

• Worked with data from various sources and formats

• Used tools like Hadoop, Spark, and SQL for data processing
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Q2. When will you decide to use repartition and coalesce?
Ans. 
Repartition is used for increasing partitions for parallelism, while coalesce is used for decreasing partitions to reduce shuffling.
• Repartition is used when there is a need for more partitions to increase parallelism.

• Coalesce is used when there are too many partitions and need to reduce them to avoid shuffling.

• Example: Repartition can be used before a join operation to evenly distribute data across partitions for bette...read more
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Q3. How will you design/configure a cluster if you have given 10 petabytes of data.
Ans. 
Designing/configuring a cluster for 10 petabytes of data involves considerations for storage capacity, processing power, network bandwidth, and fault tolerance.
• Consider using a distributed file system like HDFS or object storage like Amazon S3 to store and manage the large volume of data.

• Implement a scalable processing framework like Apache Spark or Hadoop to efficiently process and analyze the data in parallel.

• Utilize...read more
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Its mandatory test even for experience people

Q1. Related to technology
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Q1. Very good discussion towards work culture, salary and all
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Q1. What are cyclic linked lists
Ans. 
Cyclic linked lists are linked lists where the last node points back to the first node, creating a loop.
• Cyclic linked lists have no NULL pointers, making it difficult to determine the end of the list.

• They can be used to efficiently represent circular data structures like a round-robin scheduling algorithm.

• Detecting cycles in a linked list can be done using Floyd's cycle-finding algorithm.
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Q2. Coding question from BST
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Q1. About data modelling and Architecture
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Q2. Real world problem and solution
Ans. 
Real world problem: Predicting customer churn in a subscription-based service
• Collect and analyze customer data such as usage patterns, demographics, and interactions

• Use machine learning algorithms to identify factors leading to churn

• Implement targeted retention strategies based on the analysis

• Monitor and evaluate the effectiveness of the strategies over time
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Q1. Sql technical round
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Q2. About various azure services
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Q1. About my work area
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Q2. Managerial and company fit
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Q1. Sql questions were
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Q2. Spark related aswell
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Asked me two string array question one was to reverse a string without any pre build function and second one was a medium question to print the number and the count of it into the next level of the tree

Q1. Who is your idol?
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Q2. How do you menage your work?
Ans. 
I manage my work by prioritizing tasks, setting goals, staying organized, and communicating effectively with team members.
• Prioritize tasks based on deadlines and importance

• Set clear goals and milestones to track progress

• Stay organized with tools like project management software

• Communicate effectively with team members to ensure alignment and collaboration
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