Associate Data Engineer

Associate Data Engineer Interview Questions and Answers for Freshers

Updated 21 Oct 2024
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Q1. How would you recommend customer to migrate on cloud

Ans.

To recommend customers to migrate to the cloud, assess their current infrastructure, plan the migration strategy, choose the right cloud provider, and ensure data security.

  • Assess the customer's current infrastructure and identify the applications and data that can be migrated to the cloud.

  • Plan the migration strategy by considering factors like cost, time, and resource requirements.

  • Choose the right cloud provider based on the customer's specific needs and requirements.

  • Ensure d...read more

Q2. What are you experienced with in Python, ML, DL?

Ans.

Experienced in Python for data manipulation, ML for predictive modeling, and DL for deep learning algorithms.

  • Proficient in Python for data manipulation and analysis

  • Familiar with machine learning algorithms for predictive modeling

  • Knowledgeable in deep learning algorithms for image recognition tasks

Q3. What are KPI’s, how to monitor an application

Ans.

KPIs are Key Performance Indicators used to measure the success of an application. Monitoring can be done through tools like monitoring software and dashboards.

  • KPIs are specific metrics used to evaluate the performance of an application

  • Monitoring can be done using monitoring software like Nagios, Prometheus, or New Relic

  • Dashboards can be created to visualize KPIs in real-time

  • Examples of KPIs for an application could include response time, error rate, and throughput

Q4. How well versed are you in Python, SQL?

Ans.

I am proficient in Python and SQL with experience in data manipulation and analysis.

  • Proficient in Python for data manipulation and analysis

  • Strong understanding of SQL for querying databases

  • Experience in writing complex SQL queries for data extraction and analysis

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Q5. What are the different joins present

Ans.

Different types of joins in SQL include inner join, left join, right join, and full outer join.

  • Inner join: Returns rows when there is a match in both tables

  • Left join: Returns all rows from the left table and the matched rows from the right table

  • Right join: Returns all rows from the right table and the matched rows from the left table

  • Full outer join: Returns rows when there is a match in either table

Q6. Stack and queue difference and use cases

Ans.

Stack and queue are data structures with different principles and use cases.

  • Stack is Last In First Out (LIFO) while queue is First In First Out (FIFO)

  • Stack is used for function calls, undo operations, and backtracking

  • Queue is used in BFS algorithms, printer queues, and messaging systems

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