Infosys Certified Generative AI Professional - Intermediate
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Join Premium10 Infosys Certified Generative AI Professional - Intermediate practice questions with answers
Real Lex exam-pattern multiple-choice questions for the Infosys Certified Generative AI Professional - Intermediate certification. Each question includes the correct answer. The full question bank is available to Premium members.
- Question 1
What is the component of LangChain that defines the input and output formats for language models?
- ✓
Models
Correct - B
Prompts
- C
Chains
- D
Schemas
- ✓
- Question 2
What is the difference between Action Agents and Plan-and-Execute Agents in LangChain?
- ✓
Action Agents decide an action to take and execute that action one step at a time, while Plan-and-Execute Agents decide a sequence of actions to take and execute them all at once.
Correct - B
Action Agents decide a sequence of actions to take and execute them all at once, while Plan-and-Execute Agents decide an action to take and execute that action one step at a time.
- C
Action Agents decide an action to take and execute that action one step at a time, while Plan-and-Execute Agents decide an action to take and execute that action with multiple steps.
- D
Action Agents decide an action to take and execute that action with multiple steps, while Plan-and-Execute Agents decide an action to take and execute that action one step at a time.
- ✓
- Question 3
How can you embed a text input using the OpenAIEmbeddings class in LangChain?
- ✓
embeddings = OpenAIEmbeddings(text)
Correct - B
embeddings = OpenAIEmbeddings.embed(text)
- C
embeddings = OpenAIEmbeddings().embed_query(text)
- D
embeddings = OpenAIEmbeddings().text(text)
- ✓
- Question 4
What is the primary objective of using chains in LangChain, and how does it differ from predetermined chains?
- ✓
Chains are used to link different language models together to create more powerful models
Correct - B
Chains are a data structure used to store language model parameters
- C
Chains combine various LLMS and actions automatically, allowing for dynamic decision-making based on user inputs, unlike predetermined chains with fixed sequences
- D
Chains allow language models to be executed in parallel
- ✓
- Question 5
How do Agents enhance language-based applications?
- ✓
They streamline interactions with other software products
Correct - B
They provide robust file management capabilities
- C
They enable access to multiple databases simultaneously
- D
They provide robust file management capabilities
- ✓
- Question 6
LangChain enables developers to:
- ✓
Generate text for chatbots without LLMs
Correct - B
Build chatbots and question answering systems
- C
Create sequences of calls beyond a single LLM call
- D
All the above
- ✓
- Question 7
Which of the following is NOT a guard rail technique that can be used to prevent LLMs from generating harmful or unsafe outputs?
- ✓
Use of delimiters and Tags
Correct - B
Generative adversarial networks (GANs)
- C
Use of GuardrailsOutputParser Library
- D
Use of prompt templates
- ✓
- Question 8
Which of the following statements is true?
- ✓
Adversarial prompting is a type of guard rail.
Correct - B
Guard rails are a type of adversarial prompting.
- C
Adversarial prompting and guard rails are two different techniques that can be used to improve the safety of LLMs.
- D
Adversarial prompting trains LLMs to generate harmful outputs. Guard rails prevent this.
- ✓
- Question 9
What are the steps involved in calling LLM inferencing ?
- ✓
Pass prompt and run, import LLM from library, get API key, create account.
Correct - B
Get API key, create account, import LLM from library, pass prompt and run
- C
Import LLM from library, create account, get API key, pass prompt and run.
- D
Create account, get API key, import LLM from library, pass prompt and run.
- ✓
- Question 10
Which one of the following is NOT a key component of LangChain?
- ✓
Models
Correct - B
Agents
- C
Chains
- D
Prompts
- ✓
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