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I have 3 years of experience troubleshooting various software and hardware issues in a corporate IT environment.
Experience diagnosing and resolving technical issues for end users
Proficient in using troubleshooting tools and techniques
Ability to analyze logs and error messages to identify root causes
Familiarity with ticketing systems for tracking and documenting issues
Collaborated with cross-functional teams to resolve
Experience working with REST API's in previous roles.
Developed and maintained RESTful APIs for various applications
Used tools like Postman for testing and debugging API endpoints
Worked with JSON and XML data formats for API communication
Common tools for troubleshooting include log analysis tools, network monitoring tools, and remote desktop tools.
Log analysis tools such as Splunk or ELK stack can help identify errors and issues in application logs.
Network monitoring tools like Wireshark or Nagios can help pinpoint network-related problems.
Remote desktop tools like TeamViewer or AnyDesk can be used to troubleshoot issues on end-user machines remotely.
I have experience using Splunk for log management and analysis.
Utilized Splunk to monitor and analyze log data for troubleshooting issues
Created custom dashboards and alerts to track system performance
Used Splunk queries to identify patterns and trends in log data
Integrated Splunk with other tools for seamless data analysis
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posted on 3 May 2024
I applied via LinkedIn and was interviewed in Nov 2023. There were 2 interview rounds.
About artificial intelligence
What is oops and print fobanocci series
Design a high-performance in-memory cache system for storing and retrieving data efficiently.
Use a hash table or a key-value store to store data in memory
Implement caching strategies like LRU (Least Recently Used) or LFU (Least Frequently Used) to manage cache eviction
Consider using a distributed cache for scalability and fault tolerance
Optimize cache size and expiration policies based on the application's data access
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I was interviewed before Feb 2024.
I applied via Referral and was interviewed in Jun 2024. There was 1 interview round.
Asked to do coding for RDBMS using any programing language
Design an ad-click aggregation service for tracking and analyzing ad clicks.
Use a distributed system to handle high volume of ad click data
Implement real-time processing for immediate insights on ad performance
Utilize a database to store aggregated ad click data for reporting and analysis
I applied via Referral and was interviewed in Mar 2024. There was 1 interview round.
In-memory SQL databases store data in memory for faster access and processing.
In-memory databases keep all data in RAM for quicker retrieval compared to disk-based databases.
Examples include SQLite in-memory database and Redis.
They are commonly used for caching, real-time analytics, and temporary data storage.
I applied via Naukri.com and was interviewed in Jul 2021. There was 1 interview round.
Answering how to remove a character sequence with a particular number from a string.
Identify the character sequence to be removed
Use string manipulation functions to remove the sequence
Repeat until all instances of the sequence are removed
Find the second best player among n players.
Sort the players based on their scores and pick the second highest score.
If scores are not available, find the second highest rank or position.
If there are ties for first place, the second best player may be the third or fourth best player.
If there are ties for second place, there may not be a clear second best player.
based on 2 interviews
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