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Every question in this attempt was answered correctly.
Question 1 of 60
1. Question
Which Dataverse feature ensures that a Copilot agent can only see records that belong to the user‘s specific business unit?
Correct
Security Roles and Business Units define the horizontal data access boundaries within an organization.
Incorrect
Security Roles and Business Units define the horizontal data access boundaries within an organization.
Unattempted
Security Roles and Business Units define the horizontal data access boundaries within an organization.
Question 2 of 60
2. Question
Scenario: You are building an app to summarize daily stand-up meetings. You want the AI to always output the summary as a “Bullet Point List.“ Where should this instruction be placed?
Correct
Formatting instructions like “output as a bulleted list“ are core behavioral rules defined in the System Message.
Incorrect
Formatting instructions like “output as a bulleted list“ are core behavioral rules defined in the System Message.
Unattempted
Formatting instructions like “output as a bulleted list“ are core behavioral rules defined in the System Message.
Question 3 of 60
3. Question
What is the primary purpose of “Prompt Engineering“ in the context of building intelligent applications?
Correct
Prompt engineering is the practice of crafting precise instructions (prompts) to guide an LLM toward a specific, high-quality output.
Incorrect
Prompt engineering is the practice of crafting precise instructions (prompts) to guide an LLM toward a specific, high-quality output.
Unattempted
Prompt engineering is the practice of crafting precise instructions (prompts) to guide an LLM toward a specific, high-quality output.
Question 4 of 60
4. Question
What is “Zero-shot“ prompting?
Correct
Zero-shot prompting relies on the modelÂ’s existing knowledge to fulfill a request without needing task-specific examples.
Incorrect
Zero-shot prompting relies on the modelÂ’s existing knowledge to fulfill a request without needing task-specific examples.
Unattempted
Zero-shot prompting relies on the modelÂ’s existing knowledge to fulfill a request without needing task-specific examples.
Question 5 of 60
5. Question
Which Microsoft service provides “Content Filtering“ to detect and block hate speech or violence in AI inputs and outputs?
Correct
Azure AI Content Safety is a dedicated service for monitoring and filtering harmful content in AI applications.
Incorrect
Azure AI Content Safety is a dedicated service for monitoring and filtering harmful content in AI applications.
Unattempted
Azure AI Content Safety is a dedicated service for monitoring and filtering harmful content in AI applications.
Question 6 of 60
6. Question
In a “Hybrid Search“ configuration, what is the “Alpha“ parameter usually used for?
Correct
The Alpha parameter (0 to 1) determines how much the search engine relies on semantic (vector) scores versus traditional keyword scores.
Incorrect
The Alpha parameter (0 to 1) determines how much the search engine relies on semantic (vector) scores versus traditional keyword scores.
Unattempted
The Alpha parameter (0 to 1) determines how much the search engine relies on semantic (vector) scores versus traditional keyword scores.
Question 7 of 60
7. Question
Scenario: You are building a customer service agent in Copilot Studio. You want the agent to greet the user by their first name automatically. Where should this name be stored?
Correct
Global variables (or User variables) allow the bot to store and reuse information across different topics during a single session.
Incorrect
Global variables (or User variables) allow the bot to store and reuse information across different topics during a single session.
Unattempted
Global variables (or User variables) allow the bot to store and reuse information across different topics during a single session.
Question 8 of 60
8. Question
Which Microsoft tool allows you to visually orchestrate the lifecycle of an AI model, from data ingestion and labeling to deployment and monitoring?
Correct
Azure AI Studio is the unified platform for developers to build, evaluate, and deploy generative AI solutions and custom models.
Incorrect
Azure AI Studio is the unified platform for developers to build, evaluate, and deploy generative AI solutions and custom models.
Unattempted
Azure AI Studio is the unified platform for developers to build, evaluate, and deploy generative AI solutions and custom models.
Question 9 of 60
9. Question
What is the primary purpose of a “Stop Sequence“ in an LLM API request?
Correct
Stop sequences are used to prevent the model from “rambling“ or to force it to stop after it generates a specific output format (like a closing bracket).
Incorrect
Stop sequences are used to prevent the model from “rambling“ or to force it to stop after it generates a specific output format (like a closing bracket).
Unattempted
Stop sequences are used to prevent the model from “rambling“ or to force it to stop after it generates a specific output format (like a closing bracket).
Question 10 of 60
10. Question
Which “Responsible AI“ principle is focused on ensuring that AI systems are secure from external attacks like prompt injection?
Correct
Privacy and Security ensure the AI system protects data and is resilient against malicious manipulation.
Incorrect
Privacy and Security ensure the AI system protects data and is resilient against malicious manipulation.
Unattempted
Privacy and Security ensure the AI system protects data and is resilient against malicious manipulation.
Question 11 of 60
11. Question
Scenario: You need to build an AI agent that can perform a “What-If“ analysis on a financial spreadsheet in real-time. Which tool should you use to handle the logic?
Correct
Power Automate flows act as the “skills“ or “actions“ that a Copilot agent can call to perform complex calculations or data lookups.
Incorrect
Power Automate flows act as the “skills“ or “actions“ that a Copilot agent can call to perform complex calculations or data lookups.
Unattempted
Power Automate flows act as the “skills“ or “actions“ that a Copilot agent can call to perform complex calculations or data lookups.
Question 12 of 60
12. Question
Scenario: You want to build a “Customer Service Bot“ that can transition from a text chat to a live phone call. Which service handles the telephony integration?
Correct
ACS provides the APIs for voice, video, and SMS, allowing for seamless transitions from digital bots to live voice.
Incorrect
ACS provides the APIs for voice, video, and SMS, allowing for seamless transitions from digital bots to live voice.
Unattempted
ACS provides the APIs for voice, video, and SMS, allowing for seamless transitions from digital bots to live voice.
Question 13 of 60
13. Question
What does the “Temperature“ parameter control in an AI model‘s configuration?
Correct
Lower temperature (near 0) makes the model deterministic and factual; higher temperature makes it more creative and varied.
Incorrect
Lower temperature (near 0) makes the model deterministic and factual; higher temperature makes it more creative and varied.
Unattempted
Lower temperature (near 0) makes the model deterministic and factual; higher temperature makes it more creative and varied.
Question 14 of 60
14. Question
Scenario: You want to create a bot that can detect if a user is “Angry,“ “Neutral,“ or “Happy“ to route them to a human agent. Which service is best?
Correct
Sentiment Analysis evaluates text to determine the emotional tone, which is vital for escalation logic.
Incorrect
Sentiment Analysis evaluates text to determine the emotional tone, which is vital for escalation logic.
Unattempted
Sentiment Analysis evaluates text to determine the emotional tone, which is vital for escalation logic.
Question 15 of 60
15. Question
Which component in the Azure ecosystem allows you to build “Skillsets“ that automatically translate and OCR documents during the search indexing process?
Correct
AI Enrichment in Azure AI Search uses skillsets to transform raw data into searchable insights during the ingestion phase.
Incorrect
AI Enrichment in Azure AI Search uses skillsets to transform raw data into searchable insights during the ingestion phase.
Unattempted
AI Enrichment in Azure AI Search uses skillsets to transform raw data into searchable insights during the ingestion phase.
Question 16 of 60
16. Question
Which “Responsible AI“ principle emphasizes that AI systems should be reliable and not cause unintended harm during failures?
Correct
Reliability and Safety focus on ensuring the system handles errors gracefully and performs consistently under pressure.
Incorrect
Reliability and Safety focus on ensuring the system handles errors gracefully and performs consistently under pressure.
Unattempted
Reliability and Safety focus on ensuring the system handles errors gracefully and performs consistently under pressure.
Question 17 of 60
17. Question
Which Dataverse feature ensures that an AI agent cannot access sensitive HR records unless the logged-in user has specific permission?
Correct
Security Roles and Business Units define the horizontal and vertical data access boundaries within an organization.
Incorrect
Security Roles and Business Units define the horizontal and vertical data access boundaries within an organization.
Unattempted
Security Roles and Business Units define the horizontal and vertical data access boundaries within an organization.
Question 18 of 60
18. Question
In a RAG architecture, what is “Top K“ retrieval?
Correct
Top K refers to the number of most relevant context pieces retrieved to provide to the LLM for grounding.
Incorrect
Top K refers to the number of most relevant context pieces retrieved to provide to the LLM for grounding.
Unattempted
Top K refers to the number of most relevant context pieces retrieved to provide to the LLM for grounding.
Question 19 of 60
19. Question
Which tool is used to move an intelligent application from a Development environment to a Production environment?
Correct
Solutions are the standard Application Lifecycle Management (ALM) mechanism for bundling and transporting Power Platform assets.
Incorrect
Solutions are the standard Application Lifecycle Management (ALM) mechanism for bundling and transporting Power Platform assets.
Unattempted
Solutions are the standard Application Lifecycle Management (ALM) mechanism for bundling and transporting Power Platform assets.
Question 20 of 60
20. Question
Which tool is used to monitor the “Token Usage“ and “Cost“ of an Azure OpenAI resource over time?
Correct
Azure Cost Management provides detailed insights into resource consumption and spending for all Azure AI services.
Incorrect
Azure Cost Management provides detailed insights into resource consumption and spending for all Azure AI services.
Unattempted
Azure Cost Management provides detailed insights into resource consumption and spending for all Azure AI services.
Question 21 of 60
21. Question
Which specific AI Builder model should be used to analyze a photo of a restaurant receipt to extract the “Tax“ and “Tip“ amounts?
Correct
The Prebuilt Receipt model is specifically trained to recognize and pull key financial fields from various receipt formats.
Incorrect
The Prebuilt Receipt model is specifically trained to recognize and pull key financial fields from various receipt formats.
Unattempted
The Prebuilt Receipt model is specifically trained to recognize and pull key financial fields from various receipt formats.
Question 22 of 60
22. Question
Scenario: You need to extract “Flight Numbers“ and “Gate Info“ from an unstructured email sent by an airline. Which AI Builder model is best?
Correct
Entity Extraction is specifically built to identify and pull structured pieces of data from natural language text.
Incorrect
Entity Extraction is specifically built to identify and pull structured pieces of data from natural language text.
Unattempted
Entity Extraction is specifically built to identify and pull structured pieces of data from natural language text.
Question 23 of 60
23. Question
Which Microsoft Dataverse feature allows you to define “Calculated Columns“ that can be used by an AI to understand data trends?
Correct
Formula columns allow for real-time calculations within Dataverse, providing pre-processed logic for an AI agent to consume.
Incorrect
Formula columns allow for real-time calculations within Dataverse, providing pre-processed logic for an AI agent to consume.
Unattempted
Formula columns allow for real-time calculations within Dataverse, providing pre-processed logic for an AI agent to consume.
Question 24 of 60
24. Question
Which AI Builder feature should be used to identify specific objects, such as “Solar Panels,“ from high-resolution satellite imagery?
Correct
Object Detection is designed to locate and label specific visual entities within an image or video frame.
Incorrect
Object Detection is designed to locate and label specific visual entities within an image or video frame.
Unattempted
Object Detection is designed to locate and label specific visual entities within an image or video frame.
Question 25 of 60
25. Question
Which Microsoft service provides the “Prompt Flow“ feature, used to design, test, and iterate on complex AI reasoning workflows?
Correct
Prompt Flow within Azure AI Studio allows developers to create executable graphs that link LLMs, prompts, and Python code together.
Incorrect
Prompt Flow within Azure AI Studio allows developers to create executable graphs that link LLMs, prompts, and Python code together.
Unattempted
Prompt Flow within Azure AI Studio allows developers to create executable graphs that link LLMs, prompts, and Python code together.
Question 26 of 60
26. Question
Which “Responsible AI“ principle addresses the need to ensure AI systems provide accurate and consistent results even when faced with unexpected inputs?
Correct
Reliability and Safety ensure that the application performs predictably and does not cause harm during edge-case scenarios.
Incorrect
Reliability and Safety ensure that the application performs predictably and does not cause harm during edge-case scenarios.
Unattempted
Reliability and Safety ensure that the application performs predictably and does not cause harm during edge-case scenarios.
Question 27 of 60
27. Question
Which Azure AI service provides the “Vector Search“ capability needed to match a user‘s natural language question with the most relevant company document?
Correct
Azure AI Search supports vector indexing, which is essential for semantic retrieval-augmented generation (RAG) architectures.
Incorrect
Azure AI Search supports vector indexing, which is essential for semantic retrieval-augmented generation (RAG) architectures.
Unattempted
Azure AI Search supports vector indexing, which is essential for semantic retrieval-augmented generation (RAG) architectures.
Question 28 of 60
28. Question
Scenario: You want to restrict an AI‘s response to exactly 100 words. Which parameter provides a hard limit on the length of the generated text?
Correct
Max Tokens defines the maximum length of the output, helping control both the response size and token costs.
Incorrect
Max Tokens defines the maximum length of the output, helping control both the response size and token costs.
Unattempted
Max Tokens defines the maximum length of the output, helping control both the response size and token costs.
Question 29 of 60
29. Question
Scenario: You want to restrict an AI‘s response to be no more than 100 characters. Which parameter provides a hard stop for the generation?
Correct
Max Tokens sets a hard limit on the number of tokens generated, which directly correlates to the length of the response.
Incorrect
Max Tokens sets a hard limit on the number of tokens generated, which directly correlates to the length of the response.
Unattempted
Max Tokens sets a hard limit on the number of tokens generated, which directly correlates to the length of the response.
Question 30 of 60
30. Question
Which component of a RAG architecture is responsible for converting the user‘s query into a vector?
Correct
The embedding model converts the text query into a numerical vector so it can be compared against the indexed data.
Incorrect
The embedding model converts the text query into a numerical vector so it can be compared against the indexed data.
Unattempted
The embedding model converts the text query into a numerical vector so it can be compared against the indexed data.
Question 31 of 60
31. Question
Which tool is used to monitor the “Health“ and “Latency“ of an Azure OpenAI endpoint in real-time?
Correct
Azure Monitor provides telemetry, logs, and alerts for Azure AI services to ensure operational reliability.
Incorrect
Azure Monitor provides telemetry, logs, and alerts for Azure AI services to ensure operational reliability.
Unattempted
Azure Monitor provides telemetry, logs, and alerts for Azure AI services to ensure operational reliability.
Question 32 of 60
32. Question
Scenario: You are building a logistics app. You need to identify “Fragile“ stickers on shipping boxes using a camera. Which AI Builder model is appropriate?
Correct
Object Detection is used to recognize and locate specific visual elements (like stickers or logos) within an image.
Incorrect
Object Detection is used to recognize and locate specific visual elements (like stickers or logos) within an image.
Unattempted
Object Detection is used to recognize and locate specific visual elements (like stickers or logos) within an image.
Question 33 of 60
33. Question
In Microsoft Copilot Studio, what is the “User“ variable scope used for?
Correct
User-scoped variables allow the bot to remember a specific person‘s preferences or history even if they return to the bot days later.
Incorrect
User-scoped variables allow the bot to remember a specific person‘s preferences or history even if they return to the bot days later.
Unattempted
User-scoped variables allow the bot to remember a specific person‘s preferences or history even if they return to the bot days later.
Question 34 of 60
34. Question
Scenario: You are building an app that summarizes medical journals. You want the output to be very focused and literal. Which Temperature setting is most appropriate?
Correct
A temperature of 0.0 (or near zero) makes the model deterministic, ensuring consistent and focused responses.
Incorrect
A temperature of 0.0 (or near zero) makes the model deterministic, ensuring consistent and focused responses.
Unattempted
A temperature of 0.0 (or near zero) makes the model deterministic, ensuring consistent and focused responses.
Question 35 of 60
35. Question
What is the primary benefit of “Implicit Sharing“ for AI connections in a Power App?
Correct
Implicit sharing allows the app creator to share the “capability“ of the AI without granting every user direct access to the underlying service.
Incorrect
Implicit sharing allows the app creator to share the “capability“ of the AI without granting every user direct access to the underlying service.
Unattempted
Implicit sharing allows the app creator to share the “capability“ of the AI without granting every user direct access to the underlying service.
Question 36 of 60
36. Question
Scenario: You want to create a “Voice Assistant“ for a warehouse using Power Apps. Which service converts the user‘s speech into a text string for the AI to process?
Correct
Speech-to-Text is the component that transcribes spoken language into a machine-readable format.
Incorrect
Speech-to-Text is the component that transcribes spoken language into a machine-readable format.
Unattempted
Speech-to-Text is the component that transcribes spoken language into a machine-readable format.
Question 37 of 60
37. Question
Scenario: You want to restrict an AI‘s response to exactly 50 words. Which parameter provides a hard limit on the length of the output?
Correct
Max Tokens sets a hard limit on the generation length, helping control both output size and token consumption.
Incorrect
Max Tokens sets a hard limit on the generation length, helping control both output size and token consumption.
Unattempted
Max Tokens sets a hard limit on the generation length, helping control both output size and token consumption.
Question 38 of 60
38. Question
Which component of the “RAG“ architecture is responsible for ensuring the user‘s query is matched with the most relevant local data?
Correct
The Vector Search Index uses high-dimensional math to find documents that are semantically related to the user‘s query.
Incorrect
The Vector Search Index uses high-dimensional math to find documents that are semantically related to the user‘s query.
Unattempted
The Vector Search Index uses high-dimensional math to find documents that are semantically related to the user‘s query.
Question 39 of 60
39. Question
Which tool is used to move a Copilot agent from a “Development“ environment to a “Production“ environment?
Correct
Solutions are the standard ALM mechanism for moving assets between environments in the Power Platform.
Incorrect
Solutions are the standard ALM mechanism for moving assets between environments in the Power Platform.
Unattempted
Solutions are the standard ALM mechanism for moving assets between environments in the Power Platform.
Question 40 of 60
40. Question
Scenario: You need to ensure that an AI agent does not reveal internal project code names to customers. Which Azure feature helps detect these names in the model‘s output?
Correct
Custom categories in Content Safety can be trained to recognize and block specific internal terms or sensitive keywords.
Incorrect
Custom categories in Content Safety can be trained to recognize and block specific internal terms or sensitive keywords.
Unattempted
Custom categories in Content Safety can be trained to recognize and block specific internal terms or sensitive keywords.
Question 41 of 60
41. Question
Which Microsoft service serves as the primary orchestration engine for building and managing custom AI agents within the Power Platform?
Correct
Copilot Studio is the centralized platform used to design, publish, and manage intelligent conversational agents.
Incorrect
Copilot Studio is the centralized platform used to design, publish, and manage intelligent conversational agents.
Unattempted
Copilot Studio is the centralized platform used to design, publish, and manage intelligent conversational agents.
Question 42 of 60
42. Question
Scenario: You need to extract “Project Names“ and “Budget Amounts“ from a thousand unstructured email threads. Which AI Builder model is best?
Correct
Entity Extraction is specifically built to pull structured data points from unstructured natural language text.
Incorrect
Entity Extraction is specifically built to pull structured data points from unstructured natural language text.
Unattempted
Entity Extraction is specifically built to pull structured data points from unstructured natural language text.
Question 43 of 60
43. Question
Scenario: You are building an agent for a global HR department. The agent must detect if a user‘s question contains a “Vacation Request“ intent. Which service handles this?
Correct
CLU is the specific Azure AI Language feature used to map natural language utterances to specific business intents.
Incorrect
CLU is the specific Azure AI Language feature used to map natural language utterances to specific business intents.
Unattempted
CLU is the specific Azure AI Language feature used to map natural language utterances to specific business intents.
Question 44 of 60
44. Question
Which “Responsible AI“ principle requires that AI systems be built to perform reliably and safely even when faced with unexpected inputs?
Correct
Reliability and Safety ensure that AI applications are robust and do not cause harm or produce dangerous errors during edge-case scenarios.
Incorrect
Reliability and Safety ensure that AI applications are robust and do not cause harm or produce dangerous errors during edge-case scenarios.
Unattempted
Reliability and Safety ensure that AI applications are robust and do not cause harm or produce dangerous errors during edge-case scenarios.
Question 45 of 60
45. Question
Scenario: You are building a Power App for a field technician. The app must identify a specific machine part from a photo and pull up its digital manual. Which two services are needed?
Correct
AI Builder identifies the object, and Dataverse stores the relationship between the object and the manual‘s location.
Incorrect
AI Builder identifies the object, and Dataverse stores the relationship between the object and the manual‘s location.
Unattempted
AI Builder identifies the object, and Dataverse stores the relationship between the object and the manual‘s location.
Question 46 of 60
46. Question
What is the primary purpose of “Few-shot Prompting“?
Correct
Few-shot prompting provides context through examples, helping the model understand complex or specific output requirements.
Incorrect
Few-shot prompting provides context through examples, helping the model understand complex or specific output requirements.
Unattempted
Few-shot prompting provides context through examples, helping the model understand complex or specific output requirements.
Question 47 of 60
47. Question
Scenario: You want to evaluate an AI‘s performance using a “Golden Dataset.“ Which metric measures the percentage of correct answers provided by the model?
Correct
Accuracy is a standard metric used in evaluation to determine how often the model‘s prediction matches the ground truth.
Incorrect
Accuracy is a standard metric used in evaluation to determine how often the model‘s prediction matches the ground truth.
Unattempted
Accuracy is a standard metric used in evaluation to determine how often the model‘s prediction matches the ground truth.
Question 48 of 60
48. Question
Scenario: A developer wants to prevent “Model Drift“ where an AI‘s performance degrades over time as data changes. What is the best practice?
Correct
Regularly testing the model against a “Golden Dataset“ of current data ensures that accuracy remains high as real-world inputs evolve.
Incorrect
Regularly testing the model against a “Golden Dataset“ of current data ensures that accuracy remains high as real-world inputs evolve.
Unattempted
Regularly testing the model against a “Golden Dataset“ of current data ensures that accuracy remains high as real-world inputs evolve.
Question 49 of 60
49. Question
What does the “Frequency Penalty“ parameter in an LLM do?
Correct
Frequency penalty reduces the likelihood of the model repeating tokens that have already appeared frequently in the output.
Incorrect
Frequency penalty reduces the likelihood of the model repeating tokens that have already appeared frequently in the output.
Unattempted
Frequency penalty reduces the likelihood of the model repeating tokens that have already appeared frequently in the output.
Question 50 of 60
50. Question
Which AI Builder model would you use to automatically identify whether a customer review is “Complimentary,“ “Critical,“ or “Inquiry“?
Correct
Category Classification allows you to train a model to tag text into custom groups based on your specific business needs.
Incorrect
Category Classification allows you to train a model to tag text into custom groups based on your specific business needs.
Unattempted
Category Classification allows you to train a model to tag text into custom groups based on your specific business needs.
Question 51 of 60
51. Question
What is the primary function of “Semantic Kernel“ (SK) in the Microsoft AI ecosystem?
Correct
Semantic Kernel is the orchestration SDK used to build AI agents that can “think“ (LLM) and “do“ (Plugins).
Incorrect
Semantic Kernel is the orchestration SDK used to build AI agents that can “think“ (LLM) and “do“ (Plugins).
Unattempted
Semantic Kernel is the orchestration SDK used to build AI agents that can “think“ (LLM) and “do“ (Plugins).
Question 52 of 60
52. Question
What does the “Top P“ parameter (Nucleus Sampling) specifically limit in an LLM‘s generation process?
Correct
Top P ensures the model only considers the most likely tokens whose cumulative probability reaches the threshold P, enhancing quality.
Incorrect
Top P ensures the model only considers the most likely tokens whose cumulative probability reaches the threshold P, enhancing quality.
Unattempted
Top P ensures the model only considers the most likely tokens whose cumulative probability reaches the threshold P, enhancing quality.
Question 53 of 60
53. Question
What is the primary purpose of “Few-shot Prompting“ in a production AI application?
Correct
Few-shot prompting significantly improves accuracy for specific tasks by showing the model exactly what is expected.
Incorrect
Few-shot prompting significantly improves accuracy for specific tasks by showing the model exactly what is expected.
Unattempted
Few-shot prompting significantly improves accuracy for specific tasks by showing the model exactly what is expected.
Question 54 of 60
54. Question
Which AI Builder model would you use to predict if a credit card transaction is “Fraudulent“ or “Legitimate“ based on historical data?
Correct
Prediction models are designed to binary or multiple outcomes based on historical patterns in your data.
Incorrect
Prediction models are designed to binary or multiple outcomes based on historical patterns in your data.
Unattempted
Prediction models are designed to binary or multiple outcomes based on historical patterns in your data.
Question 55 of 60
55. Question
Which Dataverse feature allows an AI agent to perform a “Proximity Search“ to find the 5 closest retail stores to a user‘s location?
Correct
Dataverse supports geospatial data (Latitude/Longitude) and queries to calculate distances and find nearby locations.
Incorrect
Dataverse supports geospatial data (Latitude/Longitude) and queries to calculate distances and find nearby locations.
Unattempted
Dataverse supports geospatial data (Latitude/Longitude) and queries to calculate distances and find nearby locations.
Question 56 of 60
56. Question
Which Microsoft Dataverse feature allows you to audit exactly which data was accessed by an AI agent during a specific session?
Correct
Audit logs track data changes and access, which is critical for compliance and security in AI applications.
Incorrect
Audit logs track data changes and access, which is critical for compliance and security in AI applications.
Unattempted
Audit logs track data changes and access, which is critical for compliance and security in AI applications.
Question 57 of 60
57. Question
What does the “Presence Penalty“ parameter discourage in a model‘s completion?
Correct
Presence penalty increases the likelihood of the model introducing new topics rather than circling back to existing ones.
Incorrect
Presence penalty increases the likelihood of the model introducing new topics rather than circling back to existing ones.
Unattempted
Presence penalty increases the likelihood of the model introducing new topics rather than circling back to existing ones.
Question 58 of 60
58. Question
What is “Zero-shot“ prompting in the context of an Intelligent App?
Correct
Zero-shot prompting relies on the modelÂ’s internal general knowledge to fulfill a request without specific task guidance.
Incorrect
Zero-shot prompting relies on the modelÂ’s internal general knowledge to fulfill a request without specific task guidance.
Unattempted
Zero-shot prompting relies on the modelÂ’s internal general knowledge to fulfill a request without specific task guidance.
Question 59 of 60
59. Question
When deploying an intelligent application, what is the primary purpose of “Content Filtering“ in the Azure OpenAI Service?
Correct
Content filtering is a core safety feature that ensures the AI adheres to responsible AI standards by blocking unsafe material.
Incorrect
Content filtering is a core safety feature that ensures the AI adheres to responsible AI standards by blocking unsafe material.
Unattempted
Content filtering is a core safety feature that ensures the AI adheres to responsible AI standards by blocking unsafe material.
Question 60 of 60
60. Question
Which Azure service acts as a “Gatekeeper“ to enforce security policies and rate limits for custom APIs used by an AI agent?
Correct
Azure APIM allows you to secure, throttle, and monitor the APIs that your intelligent applications consume.
Incorrect
Azure APIM allows you to secure, throttle, and monitor the APIs that your intelligent applications consume.
Unattempted
Azure APIM allows you to secure, throttle, and monitor the APIs that your intelligent applications consume.
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