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I applied via LinkedIn and was interviewed before Sep 2021. There were 4 interview rounds.
A test matrix is a document that outlines the testing strategy and provides information on what to test, how to test, and when to test.
A test matrix contains information on test cases, test data, and expected results.
It helps in identifying the testing scope and coverage.
It also includes information on the testing environment and tools used.
Examples of test matrices include functional test matrix, integration test matr
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I applied via Naukri.com and was interviewed in Mar 2021. There were 3 interview rounds.
I applied via Walk-in and was interviewed before Aug 2022. There were 4 interview rounds.
Test of SQL, Tableau and other skills based on your resume on Skillate
I applied via Campus Placement and was interviewed in Jan 2021. There were 7 interview rounds.
I applied via Campus Placement and was interviewed in Jun 2024. There was 1 interview round.
To determine if a number is a Fibonacci number or not.
Check if 5*n^2 + 4 or 5*n^2 - 4 is a perfect square
If either of the above conditions is true, the number is a Fibonacci number
Example: 5 is a Fibonacci number as 5*5 - 4 = 21 which is a perfect square
Implement caching by storing frequently accessed data in memory to improve response time.
Identify frequently accessed data that can be cached
Choose an appropriate caching strategy (e.g. in-memory caching, distributed caching)
Implement caching mechanisms such as Redis or Memcached
Set expiration policies for cached data to ensure freshness
Monitor cache performance and adjust as needed
I applied via Approached by Company and was interviewed in Sep 2021. There were 2 interview rounds.
Identifying test cases
Defect and bug difference
I applied via Company Website and was interviewed before Aug 2022. There were 3 interview rounds.
I applied via Naukri.com and was interviewed in Jan 2021. There was 1 interview round.
I applied via Company Website and was interviewed before Jul 2021. There were 3 interview rounds.
Data validation in Hive involves using built-in functions and custom scripts to ensure data accuracy and consistency.
Use built-in functions like IS NULL, IS NOT NULL, and COALESCE to check for missing or null values
Use regular expressions and pattern matching to validate data formats
Write custom scripts to perform more complex data validation tasks
Perform data profiling to identify potential data quality issues
Use data...
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