Accenture Ai Ml Engineer Interview Questions and Answers for Experienced

30 MCQs where 15 Need to be answered correctly to get shortlisted.
Sanfoundary source is very helpful in cracking it.

Q1. Explain Oops concepts
Ans. 
OOP is a programming paradigm based on objects, encapsulating data and behavior for modular and reusable code.
• Encapsulation: Bundling data and methods that operate on the data within one unit (e.g., a class).

• Inheritance: Mechanism to create a new class from an existing class, inheriting attributes and methods (e.g., a 'Dog' class inheriting from an 'Animal' class).

• Polymorphism: Ability to present the same interface for...read more
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Q2. Explain file handling
Ans. 
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...read more
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Q3. Explain supervised and unsupervised learning algorithms of your choice.
Ans. 
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
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Q4. Coding question on pandas which had 10 followup questions
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Q1. Simple discussion on compensation
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Q1. What are types of prompts?
Ans. 
Types of prompts include text prompts, image prompts, audio prompts, and video prompts.
• Text prompts: prompts that are in written form

• Image prompts: prompts that are in visual form

• Audio prompts: prompts that are in audio form

• Video prompts: prompts that are in video form
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Q2. What is the difference between the Symmetric and Asymmetric?
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Okay asked questions about ML , python , NLP , LLM

Q1. Experience or relevancy
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Q2. Communicate testing
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Q1. Scenario based questions
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