Accenture
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I applied via Campus Placement and was interviewed in Sep 2024. There were 2 interview rounds.
Workex pointers from previous company
Highlight key projects you worked on
Discuss your role and responsibilities in those projects
Mention any challenges faced and how you overcame them
Talk about any innovative solutions you implemented
Share any positive feedback or recognition received
I applied via Referral and was interviewed in Oct 2024. There was 1 interview round.
Interview was good.
Interviewer was patient.
He asked me questions as below:
1. Write a function to accept 5 subject marks and in each subject student must have scored atleast 40 marks in each subject based on it you have to tell whether student passed or fail.
2. Generators in Python
3. If i have to download multiple images from a web and have to process them using multithreading using a Python Script. Which libraries will you use.
They took my interview and after few days emailed me saying they have filled this position and any offers that may have released were withdrawn.
Worst experience.
You should know this before taking candidate's interview.
Wasting candidate's as well as interviewers time.
Resonning question, pseudo code,
Array, string , basic of them and only 2 question need to solve in 45 min.
What people are saying about Accenture
Accenture interview questions for popular designations
I applied via Naukri.com and was interviewed in Oct 2024. There were 2 interview rounds.
Doesn't want to share the details
Get interview-ready with Top Accenture Interview Questions
Basic aptitude questions
Basic arrays, strings and sorting any coding language of your choice
Oops concepts refer to Object-Oriented Programming principles such as Inheritance, Encapsulation, Polymorphism, and Abstraction.
Inheritance: Allows a class to inherit properties and behavior from another class.
Encapsulation: Bundling data and methods that operate on the data into a single unit.
Polymorphism: Ability to present the same interface for different data types.
Abstraction: Hiding the complex implementation det
Cardinality refers to the uniqueness of values in a column or relationship.
Cardinality is the number of unique values in a column or relationship.
High cardinality means a column has many unique values, while low cardinality means few unique values.
For example, a column like 'Customer ID' may have high cardinality, while 'Gender' may have low cardinality.
SQL query to retrieve data from a table
Use SELECT statement to specify columns to retrieve
Use FROM statement to specify the table to retrieve data from
Use WHERE statement to filter the data based on conditions
I applied via Naukri.com
SQL is a relational database management system, while NoSQL is a non-relational database management system. Springboot annotations are used for configuration in Spring applications.
SQL is table-based, with a predefined schema, while NoSQL is document, key-value, wide-column, or graph-based, with a dynamic schema.
SQL is best suited for complex queries and transactions, while NoSQL is better for hierarchical data storage...
I applied via Referral and was interviewed in Jul 2024. There were 3 interview rounds.
30 MCQs where 15 Need to be answered correctly to get shortlisted.
Sanfoundary source is very helpful in cracking it.
Oops concepts refer to Object-Oriented Programming principles such as Inheritance, Encapsulation, Polymorphism, and Abstraction.
Inheritance: Allows a class to inherit properties and behavior from another class.
Encapsulation: Bundling data and methods that operate on the data into a single unit.
Polymorphism: Ability to present the same interface for different data types.
Abstraction: Hiding the complex implementation det
File handling refers to the process of managing and manipulating files on a computer system.
File handling involves tasks such as creating, reading, writing, updating, and deleting files.
Common file operations include opening a file, reading its contents, writing data to it, and closing the file.
File handling in programming languages often involves using functions or libraries specifically designed for file operations.
E...
Supervised learning uses labeled data to train a model, while unsupervised learning finds patterns in unlabeled data.
Supervised learning requires input-output pairs for training
Examples include linear regression, support vector machines, and neural networks
Unsupervised learning clusters data based on similarities or patterns
Examples include k-means clustering, hierarchical clustering, and principal component analysis
The duration of Accenture interview process can vary, but typically it takes about less than 2 weeks to complete.
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Hyderabad / Secunderabad,
Gurgaon / Gurugram
+12-5 Yrs
Not Disclosed
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