Generative AI E1 | Competency Id 6618 | Quiz Answers

Updated Question Set: click here

Q1: What happens if the token limit is exceeded?

○ The model refuses the request

○ The model processes the request partially

○ The model ignores the token limit

○ The model crashes

Answer: The model refuses the request

Q2: What is a one shot prompt?

○ A prompt without any examples

○ A prompt with multiple examples

○ A prompt with only one example

○ A prompt with negative examples

Answer: A prompt with only one example

Q3: How can you influence GitHub Copilot's suggestions?

○ By providing extensive comments

○ By using different function class names

○ By adding types to your code

○ All of the above

Answer: All of the above

Q4: What is chunking?

○ Breaking up a large piece of text into smaller chunks

○ Combining multiple texts into a single chunk

○ Removing unnecessary tokens from a text

○ Rearranging the tokens in a text

Answer: Breaking up a large piece of text into smaller chunks

Q5: How can token limits be avoided?

○ By restructuring the initial prompt

○ By using chunking techniques

○ By summarizing parts of the text

○ All of the above

Answer: All of the above

Q6: What is the current credit amount given for api keys?

○ 3

○ 18

○ 20

○ 5

Answer: 20

Q7: What is the purpose of retry logic in prompt engineering?

○ To prevent hallucinations in the Al's response

○ To ensure consistent formatting of the response

○ To handle cases where the Al fails to provide the expected format

○ To improve the reliability of the Al's responses

Answer: To handle cases where the Al fails to provide the expected format

Q8: How can you access GitHub Copilot?

○ Through a web browser

○ Through Visual Studio Code

○ Through GitHub's website

○ Through a mobile app

Answer: Through Visual Studio Code

Q9: What is the role of human evaluation in prompt engineering?

○ To determine the reliability of the prompt

○ To fine-tune the model for specific use cases

○ To eliminate the need for prompt engineering

○ To prevent prompt injection attacks

Answer: To determine the reliability of the prompt

Q10: How does prompt engineering contribute to the reliability of Al models?

○ It decreases the reliability of Al output

○ It has no impact on the reliability of Al output

○ It increases the reliability of Al output

○ It depends on the complexity of the prompt

Answer: It increases the reliability of Al output

Q11: What is the importance of context length?

○ It affects the cost of the request

○ It determines the model's output

○ It affects the token limit

○ It determines the model's accuracy

Answer: It affects the token limit

Q12: What can be specified to change the style of an image generated by the AI?

○ The type of style needed

○ The format of the response

○ The number of retry attempts

○ The prompt engineering technique

Answer: The type of style needed

Q13: How can you toggle through, multiple suggestions in GitHub Copilot?

○ By pressing the Tab key

○ By pressing the Enter key

○ By pressing the Esc key

○ By pressing the Shift key

Answer: By pressing the Tab key

Q14: What does copilot do when you define a complete function?

○ It generates the documentation for the function

○ It copies some of the original code from the if statement

○ It understands and learns your coding patterns

○ It scans your entire project directory

Answer: It understands and learns your coding patterns

Q15: When should prompt engineering be used?

○ When creating a product name for personal use

○ When rigorously testing a prompt for development and subsequently production

○ When evaluating image models

○ When using toxic words in a prompt

Answer: When rigorously testing a prompt for development and subsequently production

Q16: What is the recommended approach when providing examples in prompt engineering?

○ Give two similar examples to constrain the creative space

○ Give multiple examples for better results

○ Give negative examples to limit Al output

○ Give no examples for better results

Answer: Give two similar examples to constrain the creative space

Q17: How can hallucinations be avoided when using language models?

○ By providing factual answers

○ By adding extra prompts

○ By training the models on complete information

○ By avoiding biases in the training data

Answer: By adding extra prompts

Q18: What is the correct order of steps to follow when making a request to the Chatgpt API?

○ Select post method, paste URL, select body, select raw, select JSON, provide model and messages

○ Select get method, paste URL, select body, select raw, select JSON, provide model and messages

○ Select post method, paste URL, select body, select raw, select text, provide model and messages

○ Select get method, paste URL, select body, select raw, select text, provide model and messages

Answer: Select post method, paste URL, select body, select raw, select JSON, provide model and messages

Q19: What can you adjust in chat mode to increase variability?

○ Maximum length

○ Model parameters

○ Temperature

○ Instructions

Answer: Temperature

Q20: What are neural networks?

○ Algorithms that analyze big data

○ Algorithms that simulate like the human brain

○ Algorithms that create new datasets

○ Algorithms that solve complex equations

Answer: Algorithms that simulate like the human brain