Associate Data Engineer
Associate Data Engineer Interview Questions and Answers for Freshers
Q1. How would you recommend customer to migrate on cloud
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?
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
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?
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
Q5. What are the different joins present
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
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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