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Algonomy Senior Engineer Interview Questions and Answers
Algonomy Senior Engineer Interview Experiences
1 interview found
Anonymous
I applied via LinkedIn and was interviewed in May 2021. There were 4 interview rounds.
Interview Questionnaire
2 Questions
- Q1. Questions on the data structure and algorithms
- Q2. Questions on the database like MySQL and Cassandra
Interview Preparation Tips
Top trending discussions
Interview questions from similar companies
(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
Skills evaluated in this interview
I applied via Naukri.com and was interviewed before Dec 2021. There were 4 interview rounds.
(1 Question)
- Q1. Questions related to SAP BW and HANA
(1 Question)
- Q1. Questions related to SAP BW and HANA
(1 Question)
- Q1. Reason for Job Change
Interview Preparation Tips
Fractal offers good hike
Selected
I applied via Job Portal and was interviewed before May 2023. There were 2 interview rounds.
90 min coding test with 4-5 problems to solve
(1 Question)
- Q1. Technical rounds mostly goes around the project work ans some were based on the JD.
Aptitude test along with python and SQL MCQ questions. Sql coding was also asked which was very simple
(1 Question)
- Q1. Power Bi one on one round
I applied via Approached by Company and was interviewed before Jun 2021. There were 4 interview rounds.
First round was coding round that comprised of 4 questions, 1 sql and 3 programming questions. Out of 3, if you are able to run 2 code successfully, you'll qualify for the next round
(1 Question)
- Q1. In this round, interviewer will ask basic interview questions first, then they'll give multiple sql questions, few questions based on spark and few programming questions
(8 Questions)
- Q1. Difference between Spark and MapReduce. Spark joins like broadcast and sort merge
- Ans.
Spark is faster than MapReduce due to in-memory processing and DAG execution.
Spark uses DAG (Directed Acyclic Graph) execution while MapReduce uses batch processing.
Spark performs in-memory processing while MapReduce writes to disk after each operation.
Spark has a more flexible programming model with support for multiple languages.
Spark has built-in libraries for machine learning, graph processing, and stream processin...
- Q2. Spark file formats like parquet, orc, avro etc. Which one you are using and why
- Q3. Spark optimization techniques
- Ans.
Spark optimization techniques improve performance and efficiency of Spark applications.
Partitioning data to reduce shuffling
Caching frequently used data
Using broadcast variables for small data
Tuning memory allocation and garbage collection
Using efficient data formats like Parquet
Avoiding unnecessary data shuffling
Using appropriate hardware configurations
Optimizing SQL queries with appropriate indexing and partitioning
- Q4. Basic programming language based questions
- Q5. Hive- partition vs bucketing
- Ans.
Hive partitioning is dividing data into smaller, manageable parts while bucketing is dividing data into equal parts based on a hash function.
Partitioning is useful for filtering data based on a specific column
Bucketing is useful for evenly distributing data for faster querying
Partitioning can be done on multiple columns while bucketing is done on a single column
Partitioning creates separate directories for each partiti...
- Q6. Hive optimization techniques
- Ans.
Hive optimization techniques improve query performance and reduce execution time.
Partitioning tables to reduce data scanned
Using bucketing to group data for faster querying
Using vectorization to process data in batches
Using indexing to speed up lookups
Using compression to reduce storage and I/O costs
- Q7. Recent projects you've worked on
- Q8. SQL based questions, window functions
(2 Questions)
- Q1. Why do you want to switch
- Q2. Have you ever faced any problem in previous projects, how you handled that
Interview Preparation Tips
Skills evaluated in this interview
Selected
I applied via Recruitment Consulltant and was interviewed before Apr 2023. There were 2 interview rounds.
Asked get write python code for a perticular scenario
(1 Question)
- Q1. Salary discussion happened
Interview Preparation Tips
- Python
- SQL
- Hadoop
(1 Question)
- Q1. Questions on tomcat, java., spring
(1 Question)
- Q1. Q on OOPS, Resume based projects in detail
(1 Question)
- Q1. Standard HR questions
Selected
Datastructures binary search
(2 Questions)
- Q1. About SQL and some basics of Java quetions
- Q2. What is DBMS RDBMS
- Ans.
DBMS stands for Database Management System and RDBMS stands for Relational Database Management System.
DBMS is a software system that manages databases and provides an interface between the database and the user.
RDBMS is a type of DBMS that stores data in the form of tables with relations between them.
RDBMS uses SQL (Structured Query Language) to manipulate data.
Examples of RDBMS include MySQL, Oracle, and Microsoft SQL
Skills evaluated in this interview
Selected
I applied via Company Website and was interviewed in Sep 2023. There were 3 interview rounds.
JAVA , OOPS C++ ,C and other
(1 Question)
- Q1. C , c++ , oops , Java are questions for the interview in but I language for comfortable in hindi
Interview Preparation Tips
- Java
- C
- C++
- OOPS
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Algonomy Senior Engineer Reviews and Ratings
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87
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70
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53
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