Accenture Life Sciences Consultant Interview Questions and Answers

Abstract reasoning questions and numerical questions

Q1. Project related question and course related question
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Q2. Completed course related
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Q3. Any other course questions
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Q1. Hr round discuss about company
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Q2. Salary details and intensive details discuss the hr round
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Q1. Difference between fact and figure.
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Fact is a statement that can be proven true or false, while figure is a numerical value or statistic.
• Fact is a statement that can be verified or proven true or false.

• Figure is a numerical value or statistic.

• Facts are objective and can be verified through evidence or research.

• Figures are quantitative data used to represent information.

• Example: 'The sky is blue' is a fact, while 'The average temperature is 25 degrees Cel
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Q2. Explain data modelling
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Data modelling is the process of creating a visual representation of data to understand its structure, relationships, and patterns.
• Data modelling involves identifying entities, attributes, and relationships in a dataset.

• It helps in organizing data in a way that is easy to understand and analyze.

• Common data modelling techniques include Entity-Relationship (ER) diagrams and UML diagrams.

• Data modelling is essential for da...read more
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Q1. ML and deep learning questions
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Q1. Projects discussion
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Q2. Chatgpt architecture
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Q1. What are Large Language Models?
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Large Language Models are advanced AI models that can generate human-like text based on input data.
• Large Language Models use deep learning techniques to understand and generate text.

• Examples include GPT-3 (Generative Pre-trained Transformer 3) and BERT (Bidirectional Encoder Representations from Transformers).

• They are trained on vast amounts of text data to improve their language generation capabilities.
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Q2. Do you know about RAGs?
Ans. 
RAGs stands for Red, Amber, Green. It is a project management tool used to visually indicate the status of tasks or projects.
• RAGs is commonly used in project management to quickly communicate the status of tasks or projects.

• Red typically indicates tasks or projects that are behind schedule or at risk.

• Amber signifies tasks or projects that are on track but may require attention.

• Green represents tasks or projects that ar...read more
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Q3. Which is the best clustering algorithm?
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There is no one-size-fits-all answer as the best clustering algorithm depends on the specific dataset and goals.
• The best clustering algorithm depends on the dataset characteristics such as size, dimensionality, and noise level.

• K-means is popular for its simplicity and efficiency, but may not perform well on non-linear data.

• DBSCAN is good for clusters of varying shapes and sizes, but may struggle with high-dimensional d...read more
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Q1. Always prepare projects u have worked on in STAR format.
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Q2. Tell me about yourself .
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Q3. Explain any 4 projects in STAR format
Ans. 
Developed a recommendation system for an e-commerce website
• Used collaborative filtering to recommend products to users

• Implemented the system using Python and Apache Spark

• Evaluated the system's performance using precision and recall metrics

• Improved the system's performance by incorporating user feedback
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Q1. Basic python and machine learning questions
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Q1. Salary expectation and working location related questions and why you want to join wipro
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