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I appeared for an interview in Dec 2024.
I applied via Campus Placement and was interviewed in Sep 2024. There was 1 interview round.
I am a Cloud Engineer with a strong background in designing, implementing, and managing cloud infrastructure.
Experienced in working with AWS, Azure, and Google Cloud Platform
Skilled in automating tasks using tools like Terraform and Ansible
Proficient in monitoring and optimizing cloud resources for cost efficiency
Strong understanding of networking and security principles in cloud environments
Query to find employees with middle name 'Mohan' and salary over 2 lac.
Use SELECT statement to retrieve data from employee table
Use WHERE clause to filter employees with middle name 'Mohan' and salary over 2 lac
Example: SELECT * FROM employee WHERE middle_name = 'Mohan' AND salary > 200000
A program to convert a string into uppercase and lowercase.
Use built-in functions like toUpperCase() and toLowerCase() to convert the string.
Iterate through each character of the string and convert it to uppercase or lowercase accordingly.
Ensure to handle special characters and spaces appropriately.
Count common elements in two lists
Iterate through both lists and count occurrences of each element
Use a dictionary to store counts of elements in both lists
Return the common elements and their counts
Developed a cloud-based data analytics platform using Python and AWS services
Used AWS Lambda functions for serverless computing
Implemented data processing pipelines with AWS Glue and S3
Utilized Python libraries like Pandas and NumPy for data analysis
I have used various services in GCP including BigQuery, Dataflow, Cloud Storage, and Pub/Sub.
BigQuery for data warehousing and analytics
Dataflow for data processing and ETL
Cloud Storage for storing and accessing data
Pub/Sub for messaging and event-driven architectures
Data pipelines in GCP can be created using various tools like Dataflow, Dataproc, and Cloud Composer.
Choose the appropriate tool based on the use case and data volume
Define the data source and destination
Create a pipeline using the chosen tool and define the data transformations
Test and deploy the pipeline
Monitor and troubleshoot the pipeline for any issues
Real-time data services can be used to migrate datawarehouse with GCP services.
Use Cloud Dataflow to ingest and transform data in real-time
Use Cloud Pub/Sub to stream data to BigQuery or Cloud Storage
Use Cloud Dataproc to process data in real-time
Use Cloud Composer to orchestrate data pipelines
Use Cloud Spanner for real-time transactional data
Use Cloud SQL for real-time relational data
Use Cloud Bigtable for real-time N
I appeared for an interview in Oct 2022.
Replication performance issues can arise due to network latency, hardware limitations, and inefficient queries.
Network latency can cause delays in replication, leading to slower performance.
Hardware limitations such as insufficient memory or slow disk speeds can also impact replication performance.
Inefficient queries can cause replication to lag behind, leading to slower performance.
Monitoring replication lag and optim...
66degrees interview questions for popular designations
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Heap sort is a comparison-based sorting algorithm that uses a binary heap data structure.
Heap sort works by first building a heap from the input array.
Then it repeatedly extracts the maximum element from the heap, and places it at the end of the sorted array.
The heap is then updated to exclude the extracted element, and the process is repeated until the heap is empty.
Heap sort has a worst-case and average time complexi...
I applied via Walk-in and was interviewed in Apr 2021. There were 4 interview rounds.
I applied via Naukri.com and was interviewed in Apr 2021. There were 3 interview rounds.
I applied via Naukri.com and was interviewed before Oct 2020. There were 4 interview rounds.
I applied via Campus Placement and was interviewed before Jun 2021. There were 3 interview rounds.
Round 1 is quit easy , only verbal ability is little bit difficult. So anyone can easy to qualify round.
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Senior Software Engineer
7
salaries
| ₹20 L/yr - ₹30.2 L/yr |
Data Engineer
7
salaries
| ₹15.2 L/yr - ₹30 L/yr |
QA Engineer
5
salaries
| ₹9 L/yr - ₹16.5 L/yr |
Cloud Engineer
5
salaries
| ₹7 L/yr - ₹20 L/yr |
Senior Cloud Engineer
5
salaries
| ₹15.1 L/yr - ₹38 L/yr |
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