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I applied via Naukri.com and was interviewed in Jul 2024. There were 2 interview rounds.
The reason for change could be due to new requirements, improvements in technology, or feedback from users.
New requirements from stakeholders
Improvements in technology or tools
Feedback from users or testing
Market trends or competition
Regulatory changes
Developed a new feature that increased user engagement by 20%
Developed and implemented a new feature that increased user engagement metrics
Collaborated with cross-functional teams to gather requirements and feedback
Utilized agile methodologies to efficiently deliver the feature
Received positive feedback from users and stakeholders for the impact of the feature
Transformer stage is a processing stage in IBM InfoSphere DataStage used for data transformation.
Used for transforming data from source to target in DataStage
Can perform various operations like filtering, aggregating, joining, etc.
Supports parallel processing for efficient data transformation
Coding test followed by technical discussion
Governer limits are restrictions set by Salesforce to prevent code from consuming too much resources.
Governer limits are restrictions set by Salesforce to ensure efficient use of resources.
They include limits on CPU time, heap size, SOQL queries, DML statements, etc.
Exceeding these limits can result in exceptions like 'Apex CPU time limit exceeded'.
Reverse a given string by iterating through it backwards and appending each character to a new string.
Create a new empty string to store the reversed string
Iterate through the original string from the last character to the first character
Append each character to the new string
Return the new string as the reversed string
Design rental sharing
Azure Databricks is a unified analytics platform that combines big data processing and machine learning.
Collaborative environment for data scientists, data engineers, and business analysts
Integrated with Azure services for data storage, processing, and analytics
Supports popular programming languages like Python, Scala, and SQL
Provides tools for data visualization and machine learning model development
Cache in Databricks is a mechanism to store intermediate results of computations for faster access.
Cache in Databricks is used to store intermediate results of computations in memory for faster access.
It helps in reducing the time taken to recompute the same data by storing it in memory.
Data can be cached at different levels such as DataFrame, RDD, or table.
Example: df.cache() will cache the DataFrame 'df' in memory fo
I applied via Naukri.com and was interviewed in May 2024. There was 1 interview round.
Good Interview process. Django and DSA were asked.
RabbitMQ is a message broker software that implements the Advanced Message Queuing Protocol (AMQP).
Message broker software
Implements AMQP protocol
Used for asynchronous messaging between applications
Software Engineer
13
salaries
| ₹2.5 L/yr - ₹5.5 L/yr |
Senior Software Engineer
12
salaries
| ₹4.5 L/yr - ₹10 L/yr |
Technical Lead
10
salaries
| ₹18 L/yr - ₹28 L/yr |
Associate Technical Leader
10
salaries
| ₹13 L/yr - ₹20 L/yr |
Associate Software Engineer
5
salaries
| ₹2.5 L/yr - ₹3 L/yr |
Webenza
WATConsult
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