Career paths in GenAI - Practice Problems & Coding Challenges

Challenge - 5 Problems

🧠 Conceptual

intermediate

Which role primarily focuses on designing and training large language models?

In the field of Generative AI, different career paths focus on various tasks. Which role is mainly responsible for designing the architecture and training of large language models?

A Machine Learning Engineer

B Data Scientist

C Prompt Engineer

D Research Scientist

💡 Hint

Think about who creates new model designs and experiments with architectures.

Research Scientists focus on creating and improving model architectures and training methods, while Machine Learning Engineers implement and deploy models.

🧠 Conceptual

intermediate

What is the main responsibility of a Prompt Engineer in GenAI?

Among the various GenAI career paths, what does a Prompt Engineer mainly do?

A Develop new neural network architectures

B Manage data pipelines for training

C Optimize input queries to get better AI outputs

D Deploy AI models to production servers

💡 Hint

Think about how users interact with AI models to get desired results.

Prompt Engineers craft and optimize input prompts to guide AI models to produce better and more accurate outputs.

❓ Model Choice

advanced

Which GenAI career path is best suited for deploying models at scale with reliability?

You want to ensure a GenAI model runs smoothly and reliably for millions of users. Which career path is most focused on this task?

A Machine Learning Engineer

B Data Scientist

C Prompt Engineer

D Research Scientist

💡 Hint

Consider who handles production and system reliability.

Machine Learning Engineers specialize in deploying, scaling, and maintaining AI models in production environments.

❓ Metrics

advanced

Which career path is most involved in analyzing model performance metrics to improve GenAI outputs?

Analyzing metrics like accuracy, loss, and perplexity is key to improving GenAI models. Which role focuses most on this analysis?

A Prompt Engineer

B Data Scientist

C Machine Learning Engineer

D Research Scientist

💡 Hint

Think about who works with data and model evaluation.

Data Scientists analyze model outputs and metrics to understand performance and suggest improvements.

🔧 Debug

expert

You notice a GenAI model deployed by the ML Engineer is producing inconsistent outputs. Which step should the ML Engineer take first to debug?

A deployed GenAI model sometimes gives wrong or inconsistent answers. What is the best first debugging step for the Machine Learning Engineer?

A Review the deployment environment and resource limits

B Check the model's training data for errors

C Rewrite the prompt inputs to the model

D Change the model architecture to a simpler one

💡 Hint

Think about what can cause inconsistent behavior after deployment.

Deployment issues like insufficient memory or CPU can cause inconsistent model outputs; checking environment is the first step.

Practice

1. Which career path in Generative AI focuses on creating new AI models and improving their algorithms?

easy

A. Research Scientist

B. AI Product Manager

C. Ethics Specialist

D. UX Designer

Solution

1. Step 1: Understand the role of a Research Scientist

   A Research Scientist in GenAI works on developing new AI models and improving algorithms.

2. Step 2: Compare with other roles

   AI Product Managers focus on managing AI products, Ethics Specialists focus on responsible AI use, and UX Designers focus on user experience, not model creation.

3. Final Answer:

   Research Scientist -> Option A

4. Quick Check:

   Model creation = Research Scientist [OK]

Hint: Model creation means Research Scientist role [OK]

Common Mistakes:

• Confusing product management with research
• Thinking UX Designers build AI models
• Assuming Ethics Specialists create algorithms

2. Which of the following is the correct job title for someone who designs how users interact with AI systems?

easy

A. Data Engineer

B. Ethics Specialist

C. AI Researcher

D. UX Designer

Solution

1. Step 1: Identify the role focused on user interaction

   UX Designers focus on designing user interfaces and experiences for AI systems.

2. Step 2: Eliminate unrelated roles

   Data Engineers handle data pipelines, AI Researchers develop models, and Ethics Specialists focus on AI fairness and responsibility.

3. Final Answer:

   UX Designer -> Option D

4. Quick Check:

   User interaction design = UX Designer [OK]

Hint: User experience design means UX Designer [OK]

Common Mistakes:

• Mixing data roles with design roles
• Confusing AI Researcher with UX Designer
• Assuming Ethics Specialists design interfaces

3. Consider this code snippet representing a simplified AI team structure:

team = ['Research Scientist', 'Data Engineer', 'UX Designer', 'Ethics Specialist']
roles = {role: len(role) for role in team}
print(roles['Data Engineer'])

What is the output of this code?

medium

A. 13

B. 14

C. 11

D. 12

Solution

1. Step 1: Understand the dictionary comprehension

   The code creates a dictionary with role names as keys and their string lengths as values.

2. Step 2: Calculate length of 'Data Engineer'

   'Data Engineer' has 13 characters including the space.

3. Final Answer:

   13 -> Option A

4. Quick Check:

   Length of 'Data Engineer' = 13 [OK]

Hint: Count characters including spaces for string length [OK]

Common Mistakes:

• Counting without spaces
• Miscounting characters
• Confusing role names

4. The following code tries to assign roles to team members but has an error:

team = ['Research Scientist', 'Data Engineer', 'UX Designer']
assignments = {'Alice': team[0], 'Bob': team[1], 'Charlie': team[3]}
print(assignments)

What is the error and how to fix it?

medium

A. SyntaxError due to missing quotes; fix by adding quotes around team names

B. IndexError because team[3] doesn't exist; fix by using team[2] instead

C. KeyError because 'Charlie' is not a valid key; fix by adding 'Charlie' to team

D. TypeError because assignments is not a dictionary; fix by using list instead

Solution

1. Step 1: Identify the error in indexing

   team has 3 elements indexed 0,1,2. Accessing team[3] causes IndexError.

2. Step 2: Fix the index to valid range

   Change team[3] to team[2] to correctly assign 'Charlie' to 'UX Designer'.

3. Final Answer:

   IndexError because team[3] doesn't exist; fix by using team[2] instead -> Option B

4. Quick Check:

   Index out of range = IndexError [OK]

Hint: Check list indexes start at 0 and max is length-1 [OK]

Common Mistakes:

• Using invalid index beyond list length
• Confusing KeyError with IndexError
• Assuming syntax error instead of runtime error

5. You want to build a GenAI team for a new product. Which combination of roles best covers model creation, user experience, and ethical AI use?

hard

A. Research Scientist, Data Engineer, AI Product Manager

B. Data Engineer, AI Product Manager, UX Designer

C. Research Scientist, UX Designer, Ethics Specialist

D. UX Designer, Ethics Specialist, Marketing Specialist

Solution

1. Step 1: Identify roles for model creation, UX, and ethics

   Research Scientist builds AI models, UX Designer handles user experience, Ethics Specialist ensures responsible AI.

2. Step 2: Evaluate options for coverage

   Research Scientist, UX Designer, Ethics Specialist includes all three needed roles. Others miss one or more key areas.

3. Final Answer:

   Research Scientist, UX Designer, Ethics Specialist -> Option C

4. Quick Check:

   Model + UX + Ethics = Research Scientist, UX Designer, Ethics Specialist [OK]

Hint: Pick roles covering model, UX, and ethics together [OK]

Common Mistakes:

• Ignoring ethics role
• Choosing roles without model creation
• Confusing product management with ethics