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| Section | Weight | Objectives |
|---|---|---|
| Extend and secure intelligent solutions | 20% | - Secure access and data
|
| Create a foundation for intelligent applications | 28% | - Implement responsible AI principles
|
| Enhance solutions with AI and automation | 22% | - Use AI Hub models and pre-built capabilities
|
| Build intelligent apps with Copilot and agents | 30% | - Integrate Copilot into canvas and model-driven apps
|
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질문 # 45
An organization wants to deploy an AI application that identifies defective products from manufacturing camera images. The company has thousands of labeled images and requires a customized model with continuous retraining capabilities. Which Azure service should be used?
정답：A
설명：
Azure Machine Learning provides tools for developing, training, deploying, and managing custom machine learning models. Because the organization has labeled images and requires continuous retraining, a custom ML workflow is appropriate. Azure AI Vision offers prebuilt capabilities but is less suitable when specialized industrial image recognition models must be trained and optimized.
질문 # 46
A company uses Dataverse to configure derived values for sales records.
The company requires the following functionality:
# Evaluate an expression by using numerical columns in the same row.
# Calculate the result dynamically when accessed.
# Ensure the result is NOT stored as part of the table data.
The solution must minimize use of custom code.
You need to configure the app.
What should you do?
정답：B
설명：
A calculated column is the correct option because it can evaluate a mathematical expression over numerical columns in the same Dataverse row without custom code. Dataverse stores the calculation definition and derives the exposed read-only value from the underlying columns rather than requiring the application to maintain an ordinary stored result. This satisfies the requirement for a dynamic, non-manually persisted value.
A business rule would typically set a column value during a create or update event, resulting in stored data that can become stale if the rule does not run for every path. JavaScript operates only in supported client experiences and would not provide a consistent table-level value to all consumers. A dataflow transforms and loads data on a schedule or run; it materializes data rather than evaluating the field whenever accessed. The expression should account for blanks, numeric precision, and supported functions. The Study Guide explicitly lists "configure calculated, rollup, and formula columns." Under the choices provided, D is the native declarative behavior that matches the calculation, access, storage, and low-code requirements.
Study Guide reference/topic: "Implement business and process logic - Configure calculated columns." AB-
410 Study Guide | Microsoft Learn technical reference
질문 # 47
A company tracks order processing duration using a model-driven app.
The company requires a system that provides the following functionality:
# The age of the order, based on the created date, must be displayed on forms and views.
# The value must update dynamically when viewed without storing the result.
# The value must NOT be stored in the database.
You need to configure the column types.
Which two column types should you use? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
정답：B,D
설명：
Both Formula and Calculated columns can expose a value derived from other Dataverse data without requiring users to store and maintain the result manually. A formula column uses Power Fx and is evaluated from its referenced columns when the value is retrieved. This is suitable for calculating order age from Created On and the current date, subject to the supported Power Fx functions and data types. A classic calculated column also derives its read-only value from a defined expression and can use date-difference functions for an age calculation. BigInt is a stored numeric data type; it would require another process to keep the value current. A Prompt column generates AI content and is unrelated to a deterministic elapsed-time calculation. The important design distinction is that a dynamic age should not be written as ordinary row data, because it becomes stale as time passes. Formula or calculated behavior keeps the displayed result tied to the source expression. The AB-410 Study Guide expressly lists "configure calculated, rollup, and formula columns," making A and B the two relevant low-code column types.
Study Guide reference/topic: "Implement business and process logic - Configure calculated, rollup, and formula columns." AB-410 Study Guide | Microsoft Learn technical reference
질문 # 48
A developer creates an AI application requiring semantic search over millions of product descriptions. Users should find relevant products even when search terms do not exactly match stored text. Which capability is required?
정답：D
설명：
Vector embeddings convert text into numerical representations that capture semantic meaning.
Vector search can identify related concepts even when exact keywords differ. Traditional keyword indexing depends heavily on matching terms. SQL procedures and compression techniques do not provide semantic understanding required for intelligent search experiences.
질문 # 49
A company develops an AI chatbot using Azure OpenAI. Security administrators require that customer data must not be used to train public foundation models. Which statement correctly describes Azure OpenAI data handling?
정답：A
설명：
Azure OpenAI provides enterprise data protection where customer prompts, completions, and training data are not used to train public OpenAI models. Data isolation and security controls are key enterprise features. Organizations can build applications while maintaining control over their information. Public model improvement processes are separate from Azure OpenAI customer workloads.
질문 # 50
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