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MathCo Senior Cloud Engineer Interview Questions and Answers

Updated 9 Oct 2024

MathCo Senior Cloud Engineer Interview Experiences

1 interview found

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

Basic programming skills

Round 2 - One-on-one 

(2 Questions)

  • Q1. Precision and Recall
  • Q2. RLHF and LLMs. LoRA
Round 3 - HR 

(1 Question)

  • Q1. How do you manage teams
  • Ans. 

    I manage teams by setting clear goals, providing support, fostering collaboration, and promoting open communication.

    • Set clear goals and expectations for the team

    • Provide support and resources to help team members succeed

    • Foster collaboration and teamwork among team members

    • Promote open communication and feedback within the team

  • Answered by AI

Interview questions from similar companies

I applied via Job Portal and was interviewed in Apr 2021. There was 1 interview round.

Interview Questionnaire 

1 Question

  • Q1. Basic js concepts

Interview Preparation Tips

Interview preparation tips for other job seekers - Good
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Basic QA related Questions
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Referral and was interviewed before Jan 2024. There were 3 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Gave case study based on java scheduler
Round 2 - Technical 

(1 Question)

  • Q1. Gave programming question to solve
Round 3 - HR 

(1 Question)

  • Q1. Typical HR questions
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

Prepare well on coding n programming

Round 2 - Group Discussion 

Topic will be give should talk for a min

I applied via Naukri.com and was interviewed in Jun 2021. There were 4 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - Technical 

(7 Questions)

  • Q1. What is the difference between List and Tuple?
  • Ans. 

    List is mutable and Tuple is immutable in Python.

    • List can be modified after creation while Tuple cannot be modified.

    • List uses square brackets [] while Tuple uses parentheses ().

    • List is used for homogenous data while Tuple is used for heterogenous data.

    • List is slower than Tuple in terms of performance.

    • Example of List: [1, 2, 3] and Example of Tuple: (1, 'hello', 3.14)

  • Answered by AI
  • Q2. What is __init__ ? Follow up question why is __ (double underscore) used?
  • Q3. A SQL query based on group by and order by DESC LIMIT 1 in order to fetch highest row of a group in a dataset given by panelist.
  • Q4. A simple query on SQL using group by and aggregate function.
  • Q5. Panelist asked about my previous work experience and projects I worked upon earlier and the technologies used.
  • Q6. Question on how do we create table using SQL Alchemy in Flask (since I had used Python Flask in one of my previous projects and had highlighted it pretty well on my resume).
  • Q7. How is memory managed in Python?
  • Ans. 

    Python uses automatic memory management through garbage collection.

    • Python uses reference counting to keep track of memory usage.

    • When an object's reference count drops to zero, it is deleted.

    • Python also uses a garbage collector to handle circular references.

    • Memory allocation is handled by the Python memory manager.

    • Python provides tools like the 'gc' module for managing memory usage.

  • Answered by AI
Round 3 - Technical 

(5 Questions)

  • Q1. Question on List operation.
  • Q2. Do you know numpy pandas?
  • Ans. 

    Yes, numpy and pandas are Python libraries used for data analysis and manipulation.

    • NumPy is used for numerical operations on arrays and matrices.

    • Pandas is used for data manipulation and analysis, providing data structures like DataFrame.

    • Both libraries are commonly used in data science and machine learning.

    • Example: import numpy as np; import pandas as pd;

  • Answered by AI
  • Q3. A question to count number of times a letter occurs in a sentence and then also find the maximum occurring letter.
  • Q4. Difference between generator and iterator?
  • Ans. 

    Generator generates values on the fly while iterator iterates over a collection of values.

    • Generator is a function that returns an iterator.

    • Generators use 'yield' keyword to return values one at a time.

    • Iterators are objects that implement the 'next' method to return the next value in a collection.

    • Iterators can be created from arrays, strings, maps, sets, etc.

    • Generators are useful for generating large sequences of values...

  • Answered by AI
  • Q5. What is the selling point about you why should we consider you over other candidate?
Round 4 - HR 

(2 Questions)

  • Q1. Why are you looking for a change?
  • Q2. What are your salary expectations?

Interview Preparation Tips

Topics to prepare for Tiger Analytics Senior Software Engineer interview:
  • Python
  • SQL
  • Logic Building
  • Numpy
  • Pandas
Interview preparation tips for other job seekers - Be honest about what you know and what you don't. Prepare your resume very well highlighting your best projects and keep good knowledge about them. Search for common interview questions asked for the role you are applying. Practice coding questions over coding platforms whichever you like , if required (depends on the role you are applying for)

Skills evaluated in this interview

I applied via Naukri.com and was interviewed in Sep 2021. There were 3 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. All questions are mainly related to sql,spark, understanding of data structures ,performance tuning,scenario based questions.

Interview Preparation Tips

Interview preparation tips for other job seekers - Nice interview and interview panel as well
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Java hash map and how it works
  • Ans. 

    Java hash map is a data structure that stores key-value pairs and uses hashing to efficiently retrieve values based on keys.

    • HashMap in Java implements the Map interface and allows null keys and values.

    • It uses hashing to store and retrieve key-value pairs, providing O(1) time complexity for get() and put() operations.

    • Example: HashMap map = new HashMap<>(); map.put("key", 1); int value = map.get("key");

  • Answered by AI

Skills evaluated in this interview

I applied via Referral and was interviewed in Dec 2021. There were 4 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. Spark, Hive, AWS, SQL

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare all basics for big data related to spark, SQL, DBMS
Prepare your project well

I applied via LinkedIn and was interviewed in Sep 2021. There were 4 interview rounds.

Round 1 - Coding Test 

There were 4 sections-
1.Big data-some multiple choice questions
2.Python-2 basic programming questions
3.SQL-4 case questions on SQL queries
4.Pyspark-Basic multiple choice questions

Round 2 - Coding Test 

Same as round 1 but there were no multiple choice questions,it was a subjective paper where they check your thought process and your approach.

Round 3 - Technical 

(1 Question)

  • Q1. Technical interview was based on -Your project discussion -Big data terminologies,Spark framework,working and architecture -Some case study questions and how you could have optimized it. -SQL basic querie...
Round 4 - HR 

(4 Questions)

  • Q1. Share details of your previous job.
  • Q2. Why are you looking for a change?
  • Q3. What are your salary expectations?
  • Q4. Tell me about yourself.

Interview Preparation Tips

Topics to prepare for Tiger Analytics Senior Software Engineer interview:
  • Pyspark
  • Spark
  • Azure data factory
  • SQL
  • Python
  • Big data
Interview preparation tips for other job seekers - Just focus on spark,big data terminologies and architecture,spark architecture,SQL queries,Python basics,Azure data factory terminologies

MathCo Interview FAQs

How many rounds are there in MathCo Senior Cloud Engineer interview?
MathCo interview process usually has 3 rounds. The most common rounds in the MathCo interview process are Aptitude Test, One-on-one Round and HR.
What are the top questions asked in MathCo Senior Cloud Engineer interview?

Some of the top questions asked at the MathCo Senior Cloud Engineer interview -

  1. Precision and Rec...read more
  2. RLHF and LLMs. L...read more

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MathCo Senior Cloud Engineer Interview Process

based on 1 interview

Interview experience

5
  
Excellent
View more

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