AI-102 practice questions 301–310

1. Question 301 · 328 in bank

   You have an Azure subscription. The subscription contains an Azure OpenAI resource that hosts a GPT-3.5 Turbo model named Model1. You configure Model1 to use the following system message: “You are an AI assistant that helps people solve mathematical puzzles. Explain your answers as if the request is by a 4-year-old.” Which type of prompt engineering technique is this an example of?

   • Afew-shot learning
   • Baffordance
   • Cchain of thought
   • Dpriming

   Show answer

   Answer: D

   Explanation

   Priming is utilised in this example because it involves setting up the context or role of the AI model explicitly in a system message. It instructs the model about its role (“You are an AI assistant that helps people solve mathematical puzzles.") and also provides directions about how it should respond ("Explain your answers as if the requestor is a 4-year-old."). This essentially 'primes' the model for the conversation, as it lets the model know the expected behavior and persona that it needs to take on throughout the dialogue.

   Source: Adapted from community discussion — River06

   References

   • Microsoft Learn

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2. Question 302 · 328 in bank

   You are developing the chatbot. You create the following components: ✑ A QnA Maker resource ✑ A chatbot by using the Azure Bot Framework SDK You need to add an additional component to meet the technical requirements and the chatbot requirements. What should you add?

   • AMicrosoft Translator
   • BLanguage Understanding
   • COrchestrator
   • Dchatdown

   Show answer

   Answer: C

   Explanation

   B. Language Understanding Explanation: To meet the requirement that the chatbot must support English, French, and Portuguese and provide other response options when the response confidence score is low, the Language Understanding component (often referred to as LUIS - Language Understanding Intelligent Service) is needed. LUIS allows the bot to understand the user's intent in multiple languages and can help to provide alternative responses. Microsoft Translator could translate between languages, but it does not handle intent understanding, so it's not the best choice here. Orchestrator is more about managing multiple LUIS and QnA Maker models, which isn't specified in the requirements. Chatdown is a tool for creating mockups of chatbot conversations but doesn't provide the functionality needed to meet the requirements.

   Source: Adapted from community discussion — Gdavou

   References

   • Microsoft Learn
   • Microsoft Learn
   • Microsoft Learn
   • Microsoft Learn

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3. Question 303 · 328 in bank

   You have an Azure subscription and 10,000 ASCII files. You need to identify files that contain specific phrases. The solution must use cosine similarity. Which Azure OpenAI model should you use?

   • Atext-embedding-ada-002
   • BGPT-4
   • CGPT-35 Turbo
   • DGPT-4-32k

   Show answer

   Answer: A

   Explanation

   Answer is A, models that use mathematical-based searches are always related to embeddings. ChatGPT answer: The correct answer is: A. text-embedding-ada-002 Reasoning: To identify files that contain specific phrases using cosine similarity, you should use an embedding model. The text-embedding-ada-002 model is specifically designed to create embeddings (numerical representations of text) that can be used for similarity searches, such as cosine similarity. This model is efficient and optimized for tasks that involve finding similarity between pieces of text, making it ideal for identifying files with specific phrases. The other options (GPT-4, GPT-3.5 Turbo, and GPT-4-32k) are primarily designed for text generation and do not specialize in embedding-based similarity tasks.

   Source: Adapted from community discussion — a8da4af

   References

   • Microsoft Learn
   • Microsoft Learn

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4. Question 304 · 328 in bank

   You have an Azure subscription that contains an Azure OpenAI resource named AI1 and a user named User1. You need to ensure that User1 can perform the following actions in Azure OpenAI Studio: • Identify resource endpoints. • View models that are available for deployment. • Generate text and images by using the deployed models. The solution must follow the principle of least privilege. Which role should you assign to User1?

   • ACognitive Services OpenAI User
   • BCognitive Services Contributor
   • CContributor
   • DCognitive Services OpenAI Contributor

   Show answer

   Answer: A

   Explanation

   A. Cognitive Services OpenAI User Reasoning: The Cognitive Services OpenAI User role provides read-only access to the Azure OpenAI resource, allowing User1 to: Identify resource endpoints View available models for deployment Generate text and images using deployed models This role follows the principle of least privilege by granting only the permissions needed to view and interact with deployed models, without allowing management or configuration changes. The other roles, such as Cognitive Services OpenAI Contributor and Cognitive Services Contributor, grant additional permissions that are unnecessary for User1’s requirements.

   Source: Adapted from community discussion — a8da4af

   References

   • Microsoft Learn

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5. Question 305 · 328 in bank

   HOTSPOT - You have a chatbot that uses Azure OpenAI to generate responses. You need to upload company data by using Chat playground. The solution must ensure that the chatbot uses the data to answer user questions. How should you complete the code? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

   

   This is an interactive task on the real exam — a drag-and-drop, hotspot or ordering question. There is nothing to select here, so the answer is shown below for reference.

   Show the answer figure

   Answer: See figure below

   References

   • Microsoft Learn

   

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6. Question 306 · 328 in bank

   HOTSPOT - You are building an app that will provide users with definitions of common AI terms. You create the following Python code.

   

   For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.

   

   This is an interactive task on the real exam — a drag-and-drop, hotspot or ordering question. There is nothing to select here, so the answer is shown below for reference.

   Show the answer figure

   Answer: See figure below

   

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7. Question 307 · 328 in bank

   HOTSPOT - You build a chatbot by using Azure OpenAI Studio. You need to ensure that the responses are more deterministic and less creative. Which two parameters should you configure? To answer, select the appropriate parameters in the answer area. NOTE: Each correct answer is worth one point.

   

   This is an interactive task on the real exam — a drag-and-drop, hotspot or ordering question. There is nothing to select here, so the answer is shown below for reference.

   Show the answer figure

   Answer: See figure below

   Explanation

   temperature controls the "creativity" of the generated text, between 0 and 2. A higher temperature will result in more diverse and unexpected responses, while a lower temperature will result in more conservative and predictable responses. The default value for temperature is 1.0, but you can experiment with different values to see what works best for your use case. Higher values means the model will take more risks. Try 0.9 for more creative applications, and 0 (argmax sampling) for ones with a well-defined answer. We generally recommend altering this or top_p but not both. top_p - An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. 1 is the default value. So 0.1 means only the tokens comprising the top 10% probability mass are considered. We generally recommend altering this or temperature but not both.

   Source: Adapted from community discussion — exnaniantwort

   

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8. Question 308 · 328 in bank

   You are building a chatbot for a travel agent. The chatbot will use the Azure OpenAI GPT 3.5 model and will be used to make travel reservations. You need to maximize the accuracy of the responses from the chatbot. What should you do?

   • AConfigure the model to include data from the travel agent's database.
   • BSet the Top P parameter for the model to 0.
   • CSet the Temperature parameter for the model to 0.
   • DModify the system message used by the model to specify that the answers must be accurate.

   Show answer

   Answer: A

   Explanation

   Could this not be A? Configuring the model to include data from the travel agent’s database would allow the chatbot to access a source of relevant and specific information, which can significantly improve the accuracy of its responses. Fine-tuning the model with data specific to the travel agent’s services and customer interactions can lead to more precise and contextually appropriate answers.

   Source: Adapted from community discussion — GHill1982

   References

   • Microsoft Learn

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9. Question 309 · 328 in bank

   Select 2

   You build a chatbot that uses the Azure OpenAI GPT 3.5 model. You need to improve the quality of the responses from the chatbot. The solution must minimize development effort. What are two ways to achieve the goal? Each correct answer presents a complete solution. NOTE: Each correct answer is worth one point.

   • AFine-tune the model.
   • BProvide grounding content.
   • CAdd sample request/response pairs.
   • DRetrain the language model by using your own data.
   • ETrain a custom large language model (LLM).

   Show answer

   Answer: BC

   Explanation

   Here are two ways to improve the quality of the responses from the chatbot with minimal development effort: 1. Provide grounding content: This involves feeding the chatbot with relevant domain-specific information and data. This can include documents, articles, FAQs, or any other content related to the chatbot's purpose. By providing this context, the chatbot can better understand the user's intent and respond in a more relevant and informative way. 2. Add sample request/response pairs: This technique involves providing the chatbot with a set of pre-defined questions and their corresponding answers. This helps the chatbot learn the conversation patterns and phrasing related to its specific domain. By analyzing these examples, the chatbot can improve its ability to generate natural and consistent responses to user queries. Both options (A. Provide grounding content and C. Add sample request/response pairs) achieve the goal of improving response quality with minimal development effort, as they do not require extensive retraining or model building. Therefore, the two correct answers are: B. Provide grounding content. C. Add sample request/response pairs.

   Source: Adapted from community discussion — chandiochan

   References

   • Microsoft Learn

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10. Question 310 · 328 in bank

    HOTSPOT - You have an Azure subscription that contains an Azure OpenAI resource named AI1. You build a chatbot that will use AI1 to provide generative answers to specific questions. You need to ensure that the responses are more creative and less deterministic. How should you complete the code? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

    

    This is an interactive task on the real exam — a drag-and-drop, hotspot or ordering question. There is nothing to select here, so the answer is shown below for reference.

    Show the answer figure

    Answer: See figure below

    Explanation

    The ChatRole that should be used is ChatRole.User. This role is assigned to the messages that come from the user, which the chatbot is responding to. The Temperature setting can be adjusted to increase creativity in the responses.

    Source: Adapted from community discussion — GHill1982

    References

    • Microsoft Learn
    • Microsoft Learn

    

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AI-102 practice, question 301. 328 questions available.