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Question 1

What is the primary challenge in integrating AI-driven robotics with legacy systems in organizations?

Options :

A : Compatibility with Existing Infrastructure

B : Limited Availability of Skilled Personnel

C : Resistance to Organizational Change

D : High Implementation Costs

Answer: A

Question 2

Which key challenge is addressed by implementing continuous integration and continuous deployment (CI/CD) pipelines in AI projects?

Options :

A : Ensuring rapid model iteration and deployment

B : Automating feature engineering processes

C : Handling real-time data processing bottlenecks

D : The need for manual hyperparameter tuning

Answer: A

Question 3

Which privacy-preserving technique is most suitable for training machine learning models on sensitive data without exposing the data itself?

Options :

A : Data anonymization

B : Secure multi-party computation

C : Homomorphic encryption

D : Federated learning

Answer: D

Question 4

What is the primary difference between supervised and unsupervised learning?

Options :

A : Supervised learning optimizes for accuracy, while unsupervised learning optimizes for precision.

B : Supervised learning is only applicable to regression problems, while unsupervised learning is used for classification.

C : Supervised learning uses labeled data, while unsupervised learning uses unlabeled data.

D : Supervised learning can only be used for small datasets, while unsupervised learning works with large datasets.

Answer: C

Question 5

Which economic principle explains the declining cost of AI deployment as the scale of operations increases?

Options :

A : Economies scale

B : Expansion theory

C : Infrastructure curve

D : Marginal savings

Answer: A