Celestial Systems Interview Questions and Answers

Q1. Python coding questions on list, set, dictionaries
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Q2. Problem statements wrt object oriented concepts
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Q1. Questions on selenium web elements
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Q2. Problems on regular expressions
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Q1. Project explaination, testing theorical concepts
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Q2. Some puzzles to check analytical skills
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Q1. Salary expectation
Ans. 
I am looking for a competitive salary that reflects my skills and experience in QA testing, ideally in the range of $70,000 to $90,000.
• Research industry standards: For example, QA Test Engineers in my region typically earn between $70,000 and $90,000.

• Consider my experience: With over 5 years in QA, I bring valuable skills that justify a higher salary.

• Flexibility: I am open to discussing the full compensation package, i...read more
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Q2. Date of joining if serving the NP
Ans. 
My expected date of joining is dependent on my current notice period, which is typically two weeks.
• I am currently employed and have a notice period of two weeks.

• If I receive an offer today, I would be able to join in two weeks.

• I understand the importance of a smooth transition and will ensure all my responsibilities are handed over properly.

• If needed, I can negotiate with my current employer for an earlier release.
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Q1. How would you boot a system without a HDD?
Ans. 
You can boot a system without a HDD by using a live CD/USB or network booting.
• Use a live CD/USB with an operating system to boot the system.

• Set up network booting using PXE (Preboot Execution Environment) to boot the system over the network.

• Utilize a bootable external drive or USB to boot the system.
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Q2. What is DNAT and what is the use of it?
Ans. 
DNAT stands for Destination Network Address Translation. It is used to change the destination IP address of packets in a network.
• DNAT is commonly used in network address translation (NAT) to redirect incoming packets to a different destination IP address.

• It is often used in scenarios where a public IP address needs to be translated to a private IP address within a network.

• DNAT can be used to forward traffic from a spec...read more
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Q3. What are the data types in python?
Ans. 
Python data types include integers, floats, strings, lists, tuples, dictionaries, and sets.
• Integers: whole numbers without decimal points (e.g. 5, -10)

• Floats: numbers with decimal points (e.g. 3.14, -0.5)

• Strings: sequences of characters enclosed in quotes (e.g. 'hello', '123')

• Lists: ordered collections of items (e.g. [1, 'apple', True])

• Tuples: ordered, immutable collections of items (e.g. (1, 'banana', False))

• Dictionar...read more
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Q1. Tell me about your experience
Ans. I explained my career track record with the achievements and the challenges I faced.
Answered by Sujith Arangan
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Q1. Tell me about yourself
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Q2. Do you have experience on GCP?
Ans. 
Yes, I have experience working on Google Cloud Platform (GCP).
• Managed GCP resources such as Compute Engine, Cloud Storage, and BigQuery

• Implemented infrastructure as code using Google Cloud Deployment Manager

• Utilized GCP services for data analytics and machine learning projects
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Q3. How soon can you join?
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Q4. I mentioned my notice period
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Q1. How would you approach memory management when retieving and storing large amount of data in database? This question aims to assess to handle large sets efficiently.
Ans. 
Efficient memory management is crucial for handling large amounts of data in a database.
• Use pagination to retrieve data in smaller chunks instead of all at once

• Implement caching mechanisms to reduce the need for frequent database queries

• Optimize database queries and indexes to improve retrieval and storage efficiency
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Q2. What efficient modelling is crucial for manging large data sets?
Ans. 
Efficient data modelling techniques like normalization and indexing are crucial for managing large data sets.
• Normalization helps reduce redundancy and improve data integrity by organizing data into separate tables and linking them through relationships.

• Indexing helps improve query performance by creating indexes on columns frequently used in search conditions.

• Partitioning can also be used to divide large data sets into...read more
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Q3. Employing caching mechanism to store frequently accessed data in memory withrespect to performance ?
Ans. 
Employing caching mechanism can significantly improve performance by storing frequently accessed data in memory.
• Caching reduces the need to fetch data from slower storage systems, such as databases, by keeping a copy in memory.

• Common caching mechanisms include in-memory caches like Redis or Memcached.

• Caching can be implemented at different levels, such as application-level caching or server-level caching.

• Cache eviction...read more
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Q1. Introduction and personal interests rest was all normal formal communication? Offer was discussed and position?
Ans. All went positive and i accepted offer.
Answered by warblinggobi
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Basic and rasy questions

Written code test on paper

Q1. Es6 fatures and other javascript questions
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Q1. Basic hr question
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