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I applied via Naukri.com and was interviewed before Nov 2023. There were 3 interview rounds.
KRO stands for Key Range Optimization in Datastage, used to optimize the performance of jobs by reducing the number of rows processed.
KRO is a feature in Datastage that helps in optimizing job performance by limiting the range of keys processed.
It is used to reduce the number of rows processed by specifying a key range to be processed.
By using KRO, unnecessary rows are filtered out early in the job execution process, i...
KRO is a promise in Datastage that ensures a job completes successfully before proceeding to the next job.
KRO stands for 'Keep Running On' in Datastage.
It is used to define dependencies between jobs in a Datastage job sequence.
When a job has a KRO promise, it will wait for the previous job to complete successfully before starting.
This helps in ensuring the correct order of execution and prevents data inconsistencies.
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I appeared for an interview in Dec 2022.
I applied via Job Portal and was interviewed before Oct 2023. There was 1 interview round.
I applied via Company Website and was interviewed before May 2023. There were 2 interview rounds.
My favorite part in booking travel is researching and planning unique itineraries for clients.
I enjoy researching different destinations and finding hidden gems for clients to explore.
I love creating personalized itineraries that cater to the specific interests and preferences of each client.
I find satisfaction in helping clients discover new and exciting travel experiences.
I enjoy the challenge of finding the best dea...
I applied via Naukri.com and was interviewed before Aug 2021. There was 1 interview round.
I applied via Indeed and was interviewed before Mar 2021. There were 2 interview rounds.
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I appeared for an interview in Feb 2017.
I applied via Company Website and was interviewed before Jun 2020. There were 3 interview rounds.
My strength lies in analytical thinking, while my weakness is over-analyzing data, which can delay decision-making.
Strength: Strong analytical skills - I can identify trends in large datasets quickly.
Example: In my last project, I uncovered a 15% increase in customer retention through data analysis.
Weakness: Tendency to over-analyze - Sometimes I get caught up in the details.
Example: I once spent too much time refining...
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