AI-102 Practice Exam 55 — 20 Questions

Question 1

Which TWO actions are recommended to secure an Azure AI Language resource?

Accepted Answer

Use managed identities for authentication from Azure services. Managed identities allow Azure AI Language resources to authenticate to other Azure services (like Azure Storage or Azure Key Vault) without storing credentials in code or configuration. This eliminates the risk of access key leakage and aligns with the principle of least privilege, as the identity is tied to the resource lifecycle and can be granted granular RBAC permissions.

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Enable local authentication with access keys

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Allow all Azure services through the firewall

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Enable anonymous access for public APIs

Question 2

You are configuring semantic search in Azure AI Search. Based on the exhibit, which field is used as the title field for semantic ranking?

Accepted Answer

title. In Azure AI Search semantic ranking, the 'title' field is designated as the primary field for semantic ranking. This field provides a concise, high-level summary of the document content, which the semantic ranker uses to understand the document's main topic and improve relevance scoring. The semantic configuration references this field via the 'titleField' parameter in the semantic configuration object.

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my-semantic-config

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description

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prioritizedKeywordsFields

Question 3

You are deploying an Azure AI Document Intelligence solution to process invoices. The solution must extract line-item details such as product code, quantity, and unit price. Which prebuilt model should you use?

Accepted Answer

prebuilt-invoice. The prebuilt-invoice model is specifically designed to extract line-item details such as product code, quantity, and unit price from invoices. It uses deep learning models trained on thousands of invoice samples to identify and extract structured data, including tables and line items, making it the correct choice for this requirement.

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prebuilt-receipt

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prebuilt-idDocument

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prebuilt-layout

Question 4

You need to design an Azure AI solution that processes sensitive customer data. The solution must comply with GDPR and data residency requirements. Which TWO actions should you take?

Accepted Answer

Deploy the AI resource in the region where the data originates. Deploying the AI resource in the region where the data originates ensures compliance with GDPR data residency requirements, which mandate that personal data must not leave the geographic region of the data subject. This directly addresses the principle of data localization, a core GDPR obligation for controllers and processors.

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Enable customer-managed keys (CMK) for the AI resource

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Use Microsoft Entra ID for authentication

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Use a private endpoint to connect to the AI resource

Question 5

Which THREE considerations are essential when designing a cost management strategy for an enterprise Azure AI solution that uses multiple AI services, including Azure OpenAI Service, Azure AI Language, and Azure AI Vision?

Accepted Answer

Choose provisioned throughput units (PTUs) for Azure OpenAI Service for predictable workloads.. Provisioned throughput units (PTUs) for Azure OpenAI Service provide reserved capacity, ensuring predictable performance and cost for stable workloads. PTUs are ideal for enterprise scenarios where latency and throughput must be consistent, as they allocate dedicated model processing capacity and avoid pay-per-token variability.

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Use the Free tier for all services to minimize upfront costs.

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Deploy Azure Site Recovery to replicate AI services across regions.

Question 6

You are using Azure OpenAI to generate product descriptions. You notice that the descriptions are often too similar to each other. Which parameter should you adjust to increase diversity?

Accepted Answer

Increase the temperature value.. Increasing the temperature parameter makes the model more creative by raising the probability of sampling lower-probability tokens, which increases diversity in the generated text. A higher temperature (e.g., 0.9) flattens the probability distribution, so the model is less likely to always pick the most probable next word, resulting in more varied outputs.

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Decrease the top_p value.

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Increase the max_tokens value.

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Increase the frequency_penalty value.

Question 7

You need to monitor the performance of an Azure AI Language service custom entity recognition model. Which metric should you track to evaluate the model's ability to correctly identify entities?

Accepted Answer

F1 score. The F1 score is the standard metric for evaluating custom entity recognition models in Azure AI Language, as it balances precision (correctly identified entities) and recall (missed entities). Unlike accuracy, which can be misleading due to class imbalance in entity labeling, F1 provides a harmonic mean that reflects the model's ability to correctly identify entities without bias toward the majority class.

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Throughput

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Response latency

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Accuracy

Question 8

Your company uses Azure OpenAI Service to generate marketing content. You need to ensure that the generated content does not contain offensive language. Which feature should you enable?

Accepted Answer

Azure AI Content Safety filters.. Azure AI Content Safety filters are specifically designed to detect and block offensive, inappropriate, or harmful language in text and images. By enabling these filters on your Azure OpenAI Service deployment, you can configure severity thresholds for categories like hate, self-harm, sexual, and violence content, ensuring generated marketing content meets safety policies.

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Audit logging for all API calls.

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Data encryption at rest.

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Rate limiting on the endpoint.

Question 9

Which TWO actions should you take to ensure high availability for an Azure AI service deployed in a single region?

Accepted Answer

Configure autoscaling for the AI service.. Autoscaling allows the Azure AI service to dynamically adjust the number of instances based on demand, ensuring that the service can handle traffic spikes without downtime. This is a key high-availability feature within a single region, as it prevents resource exhaustion and maintains responsiveness. Option C is correct because deploying the AI service in a second Azure region provides geographic redundancy, enabling failover if the primary region experiences an outage, which is a fundamental high-availability strategy.

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Use a read-only replica of the AI service.

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Enable Azure DDoS Protection.

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Enable Azure Backup for the AI resource.

Question 10

Your team is building an AI-powered search application using Azure AI Search with semantic ranking. During testing, the search results are not showing the expected relevance improvements. What should you check first?

Accepted Answer

Confirm that the search service is at least Standard S1 and semantic ranking is enabled. Semantic ranking in Azure AI Search requires a service tier of at least Standard S1 (or higher) and the feature must be explicitly enabled on the index. Without meeting these prerequisites, the search results will not benefit from semantic reranking, regardless of other configurations. Therefore, confirming the service tier and semantic ranking enablement is the first and most critical check.

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Verify that CORS is enabled for your application

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Check that your index has an RBAC role assignment for semantic search

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Ensure the search service is on the Free tier

Question 11

Which TWO Azure AI services can you use to implement a custom question-answering system?

Accepted Answer

Azure OpenAI Service. Azure OpenAI Service is correct because it provides access to GPT models that can be fine-tuned or used with custom prompts to build a question-answering system. By leveraging the 'chat completions' API with a system message and context documents, you can implement a custom Q&A system that generates answers based on your proprietary data.

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Azure AI Bot Service

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Azure AI Translator

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Azure AI Search

Question 12

You submit the request shown in the exhibit to the Azure AI Language service. What will the response contain?

Accepted Answer

Both key phrases and sentiment scores.. The exhibit shows a request to the Azure AI Language service with the `showStats` parameter set to `true` and the `opinionMining` parameter set to `true`. When `opinionMining` is enabled, the service returns both key phrases and sentiment scores (including aspect-based sentiment) for the analyzed text. Therefore, the response contains both key phrases and sentiment scores, making option C correct.

Answer

Only extracted key phrases.

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Entity recognition results and sentiment scores.

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Only sentiment scores.

Question 13

You are planning an Azure AI solution that uses Azure AI Search with semantic ranker and a custom skill. The solution must meet the following requirements: - Process documents in multiple languages (English, Spanish, French). - Use a custom skill to extract entities via an Azure Function. - Ensure that the indexer can resume from failures. Which TWO actions should you include in your plan?

Accepted Answer

Generate a data change detection policy on the data source.. A data change detection policy (e.g., HighWaterMarkChangeDetectionPolicy or SqlIntegratedChangeTrackingPolicy) enables the indexer to track which documents have been modified or added. This allows the indexer to resume from failures by reprocessing only the changed or unprocessed documents, rather than starting over from scratch. Without this policy, a failure would require a full reindex, which is inefficient and violates the requirement to resume from failures.

Answer

Configure separate indexer data sources for each language.

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Set the indexer property 'maxFailedItems' to a high value.

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Enable Azure Monitor logs for the indexer to track failures.

Question 14

You are building a document processing solution that extracts information from invoices. The invoices come in various formats and languages. You need to extract line items, totals, and supplier names. Which THREE services should you combine?

Accepted Answer

Azure AI Translator. Azure AI Translator is correct because invoices arrive in various languages, and translating extracted text to a common language (e.g., English) is necessary for downstream processing like entity extraction and validation. Without translation, multilingual invoice data would be inconsistent or unprocessable by language-specific models.

Answer

Azure AI Custom Vision

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Azure AI Content Safety

Question 15

Refer to the exhibit. An Azure Cognitive Services Computer Vision API call for image captioning is returning only one caption. The developer wants to get three possible captions ranked by confidence. Which parameter should be modified in the request?

Accepted Answer

Set the maxCandidates value to 3.. The `maxCandidates` parameter in the Computer Vision Image Analysis API controls the maximum number of captions returned in the response. By default, this value is 1, so only the top-ranked caption is returned. Setting `maxCandidates=3` instructs the API to return up to three captions, each with its own confidence score, ranked from highest to lowest confidence.

Answer

Use a different API version, such as 2023-04-01.

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Modify the URL to point to a different image.

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Change the language parameter to 'multi'.

Question 16

You need to implement content moderation for a social media platform using Azure AI Content Safety. The solution must block hate speech and self-harm content while allowing mild profanity. Which configuration should you use?

Accepted Answer

Enable hate speech and self-harm with severity threshold 4; enable profanity with severity threshold 6. Azure AI Content Safety allows you to set severity thresholds per category (0-6). By enabling hate speech and self-harm with a threshold of 4, you block content at severity level 4 or higher (e.g., severe hate speech and self-harm), while enabling profanity with a threshold of 6 means only the most extreme profanity (level 6) is blocked, allowing mild profanity through. This matches the requirement to block hate speech and self-harm but allow mild profanity.

Answer

Enable all categories with severity threshold 0 (block all)

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Enable all categories with severity threshold 2

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Enable hate speech and self-harm categories; disable profanity

Question 17

A company uses Microsoft Copilot for Microsoft 365 to automate email responses. They want to ensure that the Copilot responses comply with their data governance policies and do not expose sensitive information. What should they configure?

Accepted Answer

Microsoft Purview Data Loss Prevention (DLP) policies. Microsoft Purview Data Loss Prevention (DLP) policies are designed to detect and prevent the accidental sharing of sensitive information, such as credit card numbers or personally identifiable information (PII), across Microsoft 365 services. By configuring DLP policies, the company can scan Copilot-generated email responses for sensitive data patterns and block or warn before the email is sent, ensuring compliance with data governance policies.

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Microsoft Entra ID conditional access policies

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Microsoft Intune app protection policies

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Microsoft Sentinel analytics rules

Question 18

A company builds a knowledge mining solution using Azure AI Search with a custom skillset that includes an OCR skill. They want to ensure that images embedded in PDFs are processed. What should they configure?

Accepted Answer

Set the 'imageAction' parameter to 'generateNormalizedImages'. The 'imageAction' parameter in Azure AI Search's OCR skill controls whether images embedded in documents (including PDFs) are extracted and processed. Setting it to 'generateNormalizedImages' ensures that images within PDFs are normalized and passed to the OCR skill for text extraction, which is essential for processing embedded images.

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Set the 'defaultLanguageCode' to 'en'

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Set the 'textExtractionAlgorithm' to 'printed'

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Set the 'lineEnding' parameter to 'space'

Question 19

Refer to the exhibit. You are deploying an Azure AI Services resource using an ARM template. After deployment, you cannot access the resource from any client, including the Azure portal. What is the most likely cause?

Accepted Answer

The networkAcls defaultAction is set to Deny with no allowed IP or virtual network rules.. The networkAcls defaultAction set to Deny with no allowed IP or virtual network rules blocks all traffic to the Azure AI Services resource, including requests from the Azure portal and any client. This is because the default network access control list (ACL) denies all traffic unless explicitly permitted by IP rules or virtual network rules, rendering the resource inaccessible even for management operations.

Answer

The SKU S0 does not support network restrictions.

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The cognitiveServiceName conflicts with an existing resource.

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The virtualNetworkRules array is empty.

Question 20

Refer to the exhibit. You are reviewing the configuration of an Azure OpenAI Service resource. The resource is configured with customer-managed keys for encryption. What is the primary benefit of this configuration?

Accepted Answer

Enhanced control over data encryption keys. Customer-managed keys (CMK) allow you to control and manage the encryption keys used to protect your data at rest in Azure OpenAI Service. This provides enhanced control over who can access the keys, when they are rotated, and how they are stored, which is critical for meeting compliance and security requirements. The primary benefit is not performance, cost, or deployment simplicity, but rather the ability to enforce your own key lifecycle and access policies.

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Simplified deployment process

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Improved model performance

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Reduced operational costs