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Yandex Interview Questions and Answers
9 Interview questions
Priority and severity are key concepts in QA QC, with priority referring to the importance of fixing a bug and severity indicating the impact of the bug on the system.
Priority is the order in which bugs should be fixed based on their importance to the system
Severity is the impact of a bug on the system's functionality
Priority is usually assigned by the project manager or team lead
Severity is typically determined b...
A drawing of a mobile robot with wheels and sensors for navigation.
Include wheels for mobility
Add sensors for navigation and obstacle avoidance
Include a body to house the electronics and power source
2 powered by 8 is equal to 256.
2^8 = 2*2*2*2*2*2*2*2 = 256
Arrow functions are a concise way to write functions in JavaScript.
Arrow functions are written using the '=>' syntax.
They do not have their own 'this' keyword, instead they inherit it from the parent scope.
They are often used for short, one-line functions.
Example: const add = (a, b) => a + b;
A race condition is a situation in which the outcome of a program depends on the sequence or timing of uncontrollable events.
Occurs when multiple threads or processes access shared data or resources concurrently
Can lead to unpredictable behavior or bugs in the program
Example: Two threads trying to increment the same variable simultaneously
Propose and calculate promo recommendations to increase GMV for matrix from q1
Analyze sales data from q1 to identify trends and popular products
Create targeted promotions for popular products
Offer bundle deals to encourage customers to purchase more
Implement a loyalty program to incentivize repeat purchases
Compute a user purchase matrix from JSON and CSV data formats.
Load JSON data containing user purchase records, e.g., { 'userId': 1, 'purchases': ['item1', 'item2'] }.
Load CSV data with user IDs and purchase details, e.g., 'userId,item1,item2'.
Create a matrix where rows represent users and columns represent items, filling in purchase counts.
Use libraries like pandas in Python for efficient data manipulation and mat...
Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables.
Linear regression finds the best-fitting straight line through the data points.
It is used to predict the value of the dependent variable based on the independent variable(s).
The equation of a simple linear regression model is y = mx + b, where y is the dependent variable, x is...
Decision trees algorithm is a popular machine learning technique used for classification and regression tasks.
Decision trees are a type of supervised learning algorithm that is used for both classification and regression tasks.
They work by recursively splitting the data into subsets based on the most significant attribute.
Each internal node represents a test on an attribute, each branch represents the outcome of t...
Yandex Interview Experiences
8 interviews found
Anonymous
Selected
I applied via Approached by Company and was interviewed before Sep 2023. There were 2 interview rounds.
(2 Questions)
- Q1. About my experience
- Q2. About salary expectations
(2 Questions)
- Q1. Decision trees algorithm explained
- Ans.
Decision trees algorithm is a popular machine learning technique used for classification and regression tasks.
Decision trees are a type of supervised learning algorithm that is used for both classification and regression tasks.
They work by recursively splitting the data into subsets based on the most significant attribute.
Each internal node represents a test on an attribute, each branch represents the outcome of the te...
- Q2. Linear regression algorithm explained
- Ans.
Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables.
Linear regression finds the best-fitting straight line through the data points.
It is used to predict the value of the dependent variable based on the independent variable(s).
The equation of a simple linear regression model is y = mx + b, where y is the dependent variable, x is the ...
Interview Preparation Tips
Skills evaluated in this interview
Даниил Плотников
(2 Questions)
- Q1. Leetcode task easy and medium
- Q2. Leetcode task medium and spring boot
Interview Preparation Tips
I applied via Recruitment Consulltant and was interviewed in Jan 2024. There was 1 interview round.
(3 Questions)
- Q1. What is 2 powered by 8?
- Ans.
2 powered by 8 is equal to 256.
2^8 = 2*2*2*2*2*2*2*2 = 256
- Q2. What is a race condition?
- Ans.
A race condition is a situation in which the outcome of a program depends on the sequence or timing of uncontrollable events.
Occurs when multiple threads or processes access shared data or resources concurrently
Can lead to unpredictable behavior or bugs in the program
Example: Two threads trying to increment the same variable simultaneously
- Q3. What is an arrow function?
- Ans.
Arrow functions are a concise way to write functions in JavaScript.
Arrow functions are written using the '=>' syntax.
They do not have their own 'this' keyword, instead they inherit it from the parent scope.
They are often used for short, one-line functions.
Example: const add = (a, b) => a + b;
Skills evaluated in this interview
I applied via LinkedIn and was interviewed in May 2024. There was 1 interview round.
(2 Questions)
- Q1. Tell us about your previous experience?
- Q2. Tell us about priority and severity
- Ans.
Priority and severity are key concepts in QA QC, with priority referring to the importance of fixing a bug and severity indicating the impact of the bug on the system.
Priority is the order in which bugs should be fixed based on their importance to the system
Severity is the impact of a bug on the system's functionality
Priority is usually assigned by the project manager or team lead
Severity is typically determined by the...
Interview Preparation Tips
Skills evaluated in this interview
(1 Question)
- Q1. Make a drawing of mobile robot
- Ans.
A drawing of a mobile robot with wheels and sensors for navigation.
Include wheels for mobility
Add sensors for navigation and obstacle avoidance
Include a body to house the electronics and power source
I applied via LinkedIn and was interviewed in Oct 2023. There was 1 interview round.
(1 Question)
- Q1. Asked about my experience and general questions
I applied via Job Portal and was interviewed before Aug 2023. There was 1 interview round.
(1 Question)
- Q1. Why you've chosen this job?
I applied via Recruitment Consulltant and was interviewed in Nov 2022. There were 2 interview rounds.
(2 Questions)
- Q1. From json and csv compute User purchase matrix
- Ans.
Compute a user purchase matrix from JSON and CSV data formats.
Load JSON data containing user purchase records, e.g., { 'userId': 1, 'purchases': ['item1', 'item2'] }.
Load CSV data with user IDs and purchase details, e.g., 'userId,item1,item2'.
Create a matrix where rows represent users and columns represent items, filling in purchase counts.
Use libraries like pandas in Python for efficient data manipulation and matrix c...
- Q2. Propose and calculate promo recommendations to increase GMV for matrix from q1
- Ans.
Propose and calculate promo recommendations to increase GMV for matrix from q1
Analyze sales data from q1 to identify trends and popular products
Create targeted promotions for popular products
Offer bundle deals to encourage customers to purchase more
Implement a loyalty program to incentivize repeat purchases
Interview Preparation Tips
Top trending discussions
Interview questions from similar companies
I applied via Naukri.com and was interviewed before Jun 2021. There were 2 interview rounds.
(2 Questions)
- Q1. Skills of current company
- Q2. Language test and communication skills
Interview Preparation Tips
- Communication Skills
I applied via Referral and was interviewed before Sep 2020. There was 1 interview round.
Interview Questionnaire
2 Questions
- Q1. Tell me abt yourself
- Q2. Achievements in past
- Ans.
I successfully led projects that improved efficiency, increased sales, and enhanced team collaboration in my previous roles.
Increased sales by 20% in one year by implementing a new marketing strategy.
Led a team of 10 in a project that reduced operational costs by 15%.
Developed a training program that improved employee performance and satisfaction.
Successfully managed a cross-departmental initiative that streamlined com...
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