Question 1

You have been tasked at your organization to manage a large language model (LLM) project. Identify what LLMs are useful for. (Select all that apply.)

Options :

A : Process automation

B : Text summarization

C : Machine Translation

D : Classify and categorize content

E : Code generation

F : Improve search quality

Answer: A,B,C,D,E,F

Question 2

You're running an AI project and want to speed up training of the model so that you can complete your current CPMAI iteration within the two week timeframe the team has set. What's one approach to speed up model training?

Options :

A : Use data from a previous project

B : Use cloud-based technology

C : Use Brute force method

D : Use or extend a pre-trained model

Answer: D

Question 3

Enhancing and cleaning data is an important action during which phase of CPMAI?

Options :

A : Phase VI

B : Phase I

C : Phase V

D : Phase III

E : Phase II

F : Phase IV

Answer: D

Question 4

During CPMAI Phase II of your project, your team is going through their data collection needs. One team member wants to make use of pre-trained models while another member is adamantly against it. As the project lead, what should you do?

Options :

A : Evaluate your data and use only what you have and build all models in house.

B :

Evaluate your data and see if using pre-trained models make sense. If so, have the team see what pre-trained models your company already owns and use those.

C :

Evaluate your data and see if using pre-trained models make sense. If so, have the team do research to find the ones that best suit your project.

D :

Have one team build all models in-house and the other team use pre-trained models and see which team's models perform better.

Answer: C

Question 5

You're working on a project and are working with personally identifiable information (PII). What's the best approach to take when it comes to collecting and using this data?

Options :

A : Use noise reduction techniques to reduce all forms of data noise

B : Implement a new data privacy policy

C : Store the data in a data warehouse

D :

If this data is not needed, use Data anonymization techniques to remove it before feeding to models

Answer: D

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