Accenture Data Science Manager Interview Questions and Answers

Q1. Quesrions related to Marketing mix modeling, Python programs, NLP and AWS were asked
Add your answer

(51+52+53+......+100) =

Q1. M.s excel , red hat ,
Add your answer
Q2. Introdution M.s word
Add your answer
Q3. Linux , git , mavel , nexus.
Add your answer
Q4. Sonar cube , aws , super putty.
Add your answer

Q1. What are Large Language Models?
Ans. 
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.
Answered by AI
Add your answer
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
Answered by AI
Add your answer
Q3. Which is the best clustering algorithm?
Ans. 
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
Answered by AI
Add your answer

Good execellnt and well done

Q1. Tell me your self
Add your answer
Q2. Tell me why cogniznt
Add your answer