Accenture Interview Questions, Process, and Tips

90 minutes having 4 sections

2 coding questions of easy level

Q1. Includes both TR and HR
Add your answer
Q2. About project in detail
Add your answer
Q3. Difference between hardwaork and smart work
Ans. 
Hard work is putting in effort and time, while smart work involves finding efficient ways to achieve goals.
• Hard work involves putting in a lot of time and effort towards a task or goal.

• Smart work focuses on finding efficient ways to achieve the same task or goal in less time and with less effort.

• Hard work may lead to burnout if not balanced with smart work.

• Smart work involves strategic planning, prioritizing tasks, and...read more
Answered by AI
Add your answer

Q1. What is Iam what is sa what is bigquery various optimisations joins sql complex query what is qliksense GIThub schema routines schedules delete drop truncate GUI and terraform related spark basics file fo...read more
Ans. 
IAM is Identity and Access Management, SA is Service Account, BigQuery is a data warehouse, QlikSense is a data visualization tool, GitHub is a version control system, Spark is a distributed computing framework, Airflow is a workflow automation tool, Bigtable is a NoSQL database, Cloud Composer is a managed workflow orchestration service, Pub/Sub is a messaging service.
• IAM is used to manage access to resources in Googl...read more
Answered by AI
Add your answer

Q1. Basics about the subject
Add your answer
Q2. Some frequently asked questions
Add your answer

It consists of questions similar to quantitative aptitude, basic verbal reasoning, and networking, totaling 100 questions.

It contains two programming questions; the first is easy, and the second is moderate.

Q1. It is some moderate but it is very very tough if laptop is not in good condition
Add your answer

Q1. Self intro , least fav subject, difficulty during project how u overcom
Add your answer

Q1. Question From Regression, classification and clustering Algorithm.
Add your answer
Q2. Bagging and boosting
Add your answer
Q3. How to handel less dataset for regression problems
Ans. 
Use techniques like regularization, feature selection, cross-validation, and data augmentation.
• Utilize regularization techniques like Lasso or Ridge regression to prevent overfitting.

• Perform feature selection to focus on the most important variables and reduce noise.

• Use cross-validation to assess model performance and generalizability.

• Consider data augmentation techniques like synthetic data generation or bootstrapping...read more
Answered by AI
Add your answer
Q4. Python Coding and some scenario based ML question.
Add your answer

Q1. Question from My project and mentioned skills in resume
Add your answer
Q2. How will you lead team and what your ways.
Ans. 
I will lead by setting clear goals, providing guidance, fostering collaboration, and recognizing team achievements.
• Set clear goals and expectations for the team

• Provide guidance and support to team members

• Foster collaboration and communication within the team

• Recognize and reward team achievements

• Lead by example and demonstrate strong work ethic
Answered by AI
Add your answer

Q1. Salary and Notice period
Add your answer