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I applied via Referral and was interviewed in Apr 2022. There were 4 interview rounds.
Spark has a master-slave architecture with a cluster manager and worker nodes.
Spark has a driver program that communicates with a cluster manager to allocate resources and schedule tasks.
Worker nodes execute tasks and return results to the driver program.
Spark supports multiple cluster managers like YARN, Mesos, and standalone.
Spark also has a DAG (Directed Acyclic Graph) scheduler that optimizes task execution.
Spark's...
The PySpark query to find the sum and average using Spark DataFrames.
Use the `groupBy` method to group the data by a specific column
Use the `agg` method to apply aggregate functions like `sum` and `avg`
Specify the column(s) to perform the aggregation on
Joining three tables using SQL
Use the JOIN keyword to combine the tables based on a common column
Specify the columns to select from each table
Use the ON keyword to define the join condition
GroupBy is used to group data based on a column while Having is used to filter grouped data based on a condition.
GroupBy is used with aggregate functions like SUM, COUNT, AVG, etc.
Having is used to filter data after grouping based on a condition.
GroupBy is used before Having in a SQL query.
Example: SELECT department, COUNT(*) FROM employees GROUP BY department HAVING COUNT(*) > 5;
Example: SELECT department, AVG(salary)...
Filtering data in PySpark based on a particular condition.
Use the filter() function to filter data based on a condition.
Conditions can be specified using logical operators such as ==, >, <, etc.
Multiple conditions can be combined using logical operators such as and, or, not.
Example: df.filter(df['age'] > 25).filter(df['gender'] == 'Male')
This will filter the data where age is greater than 25 and gender is Male.
Columns can be added or removed from Spark dataframes using select() and drop() functions.
To add a column, use withColumn() function and provide a name and expression for the new column.
To remove a column, use drop() function and provide the name of the column to be removed.
To select specific columns, use select() function and provide the names of the columns to be selected.
Example: df.withColumn('new_col', df.col1 + d
I want to join EY because of its reputation for excellence, global presence, and opportunities for professional growth.
EY is known for its high standards of excellence in the industry.
EY has a strong global presence, which provides opportunities to work with diverse clients and gain international exposure.
EY offers a wide range of services and sectors, allowing for professional growth and development.
EY's collaborative...
I expect EY to provide a challenging and rewarding work environment with opportunities for growth and development.
Opportunities for professional growth
Challenging work assignments
Supportive and collaborative team
Clear communication and feedback
Recognition for achievements
Work-life balance
Competitive compensation and benefits
I applied via LinkedIn and was interviewed in Nov 2024. There were 3 interview rounds.
What people are saying about Ernst & Young
Porter's Five Forces is a framework for analyzing the competitive forces in an industry.
Porter's Five Forces include: threat of new entrants, bargaining power of buyers, bargaining power of suppliers, threat of substitute products, and intensity of competitive rivalry.
It helps businesses understand the competitive environment they operate in and develop strategies to stay competitive.
For example, in the airline industr...
Secondary research involves gathering information from existing sources such as books, articles, and reports.
Involves analyzing and synthesizing existing data
Does not involve collecting new data
Sources can include books, articles, reports, and online databases
Helps in gaining a deeper understanding of a topic
Can be used to validate primary research findings
Ernst & Young interview questions for designations
I was interviewed in Jul 2024.
I have the skills, experience, and passion to excel in this role.
I have a strong background in data analysis and have successfully completed numerous projects in the past.
I am detail-oriented and have a proven track record of delivering high-quality work under tight deadlines.
I am a quick learner and always eager to expand my knowledge and skills.
I am a team player and have excellent communication skills, which allows ...
Basic to medium aptitude questions were asked
I stand apart through my unique combination of analytical skills, attention to detail, and ability to think outside the box.
Strong analytical skills demonstrated through previous projects or experiences
Attention to detail in data analysis and reporting
Ability to think creatively and problem-solve effectively
Get interview-ready with Top Ernst & Young Interview Questions
Depreciation is the allocation of the cost of a tangible asset over its useful life.
Depreciation is a non-cash expense that reduces the value of an asset over time.
It reflects the wear and tear, aging, or obsolescence of the asset.
Common methods of calculating depreciation include straight-line, double-declining balance, and units of production.
Example: A company buys a delivery truck for $50,000 with a useful life of ...
Tax is a mandatory financial charge imposed by the government on individuals or businesses to fund public expenditures.
Tax is collected by the government to fund public services such as education, healthcare, and infrastructure.
There are different types of taxes such as income tax, sales tax, property tax, and corporate tax.
Tax rates can vary based on income levels, types of goods or services, and location.
Tax evasion ...
I applied via Naukri.com and was interviewed in Apr 2024. There were 2 interview rounds.
I applied via LinkedIn and was interviewed in Jul 2024. There was 1 interview round.
My last working day is next Friday.
My last working day is on Friday of next week.
I will be working until next Friday.
My lwd is the upcoming Friday.
I applied via Company Website and was interviewed in May 2024. There were 3 interview rounds.
Reasoning & mathematics
Is digitalization good for youth ?
Python is a high-level, interpreted programming language known for its simplicity and readability. Rust is a systems programming language focused on performance and safety.
Python is dynamically typed, while Rust is statically typed.
Python is commonly used for web development, data analysis, and automation tasks, while Rust is often used for systems programming and performance-critical applications.
Python has a large st...
The duration of Ernst & Young Analyst interview process can vary, but typically it takes about less than 2 weeks to complete.
based on 27 interviews
4 Interview rounds
based on 272 reviews
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