AI-103 Practice Test 13 — 15 Questions

Question 1

You are troubleshooting a Custom Vision object detection model that exhibits poor performance in production. Which THREE actions can you take using the Custom Vision portal or APIs to diagnose and improve the model? (Choose three.)

Choose an answer to begin — your selection is scored in the full session.

Accepted Answer

Examine prediction suggestions to find low-confidence or incorrectly predicted images and add them to training data.. Option B is correct because the Custom Vision portal's Predictions view surfaces images the deployed model scored with low confidence or misclassified, and feeding those hard examples back into the training set as labeled data is the standard active-learning loop for improving an object detection model. Option C is correct because the Performance tab reports per-tag precision, recall, and mean average precision (mAP), letting you identify which object classes the model detects poorly and target them with more or better-labeled images. Option D is correct because the Performance page includes a probability threshold slider that recomputes precision and recall at different confidence cutoffs, so you can pick an operating point that balances false positives and false negatives for your production scenario. Option A is wrong because Custom Vision does not expose iteration history deletion as a diagnostic or improvement action, and resetting to random weights would destroy the trained model rather than improve it. Option E is wrong because Custom Vision is a managed service that does not expose neural network weights for manual editing through the REST API; you can only influence the model through training data, tags, domains, and training parameters.

Answer

Delete all project iteration history to reset model weights to random initialization.

Answer

Manually edit model neural network weights via the REST API.

Question 2

You are configuring diagnostic settings for an Azure AI Search service to audit administrative actions and query logs. Which destination should you choose if you want to stream these logs into a SIEM tool like Microsoft Sentinel for real-time security analysis?

Accepted Answer

Send to an Event Hub. Azure AI Search diagnostic settings support three export destinations: Log Analytics workspace, Azure Storage account, and Azure Event Hubs. Event Hubs is the correct choice for streaming telemetry in near real-time to external SIEM platforms such as Microsoft Sentinel, Splunk, or QRadar, because Sentinel natively ingests from Event Hubs via its data connectors. This enables continuous, low-latency forwarding of administrative and query logs for correlation and alerting.

Answer

Send to an Azure DevOps pipeline

Answer

Export to a local CSV file via Azure CLI

Answer

Archive to a storage account

Question 3

When creating a new project in the Custom Vision portal, you need to choose a classification type. You want to tag an image with multiple independent tags (e.g., 'outdoor', 'sunset', 'mountain'). Which classification type should you select?

Accepted Answer

Multilabel. Multilabel classification lets a single image carry multiple independent tags simultaneously, which is exactly what is needed when an image can be 'outdoor', 'sunset', and 'mountain' at the same time. Each tag is evaluated independently, so the model outputs a probability per tag rather than forcing a single winning class. This matches the requirement of applying multiple non-exclusive labels.

Answer

Object Detection

Answer

Binary Classification

Answer

Multiclass

Question 4

When configuring a Custom Vision project, which TWO project types are available? (Choose two.)

Accepted Answer

Classification. Azure Custom Vision supports exactly two project types: Classification (option C) and Object Detection (option E). Classification (C) is correct because it trains a model to assign one or more labels to an entire image (e.g., "cat" vs. "dog"), which is a core Custom Vision project type. Object Detection (E) is correct because it trains a model to locate and classify multiple objects within an image by returning bounding boxes with labels, the other supported Custom Vision project type. The remaining options do not belong: Speech Synthesis (A) is an Azure Speech service capability, Form Extraction (B) is handled by Form Recognizer, and Text Recognition/OCR (D) is provided by Computer Vision or Read API, not Custom Vision.

Answer

Speech Synthesis

Answer

Form Extraction

Answer

Text Recognition (OCR)

Question 5

Your organization is preparing for an annual external security audit. The auditor requests proof that all Azure AI resources comply with ISO 27001 standards. Where can you download the official compliance audit reports for Azure AI services?

Accepted Answer

Microsoft Service Trust Portal. The Microsoft Service Trust Portal is the official Microsoft repository for compliance documentation, including ISO 27001 audit reports, SOC reports, and other regulatory attestations for Azure and Azure AI services. Auditors accept these reports as evidence of compliance because they are produced by independent third-party assessors. Access requires signing in with a Microsoft Entra ID account and accepting the non-disclosure agreement.

Answer

Microsoft 365 Admin Center security center

Answer

Visual Studio subscription benefits page

Answer

Azure OpenAI Studio compliance tab

Question 6

Your company requires strict data privacy. Where should you host your Document Intelligence resources to ensure data remains in a specific region?

Accepted Answer

Regional Azure resource. To guarantee that Document Intelligence data (documents, extracted results, and processing) stays within a specific geography, you must deploy a regional Azure resource in the desired region. Regional resources pin both compute and data residency to that region, satisfying strict data-privacy and sovereignty requirements. Global or multi-region endpoints may replicate or route data outside the chosen geography, violating the requirement.

Answer

Any available region

Answer

Global service endpoint

Answer

Public multi-region endpoint

Question 7

Your organization has deployed an Azure AI Custom Vision model. You need to automate the retraining pipeline whenever new training images are uploaded to an Azure Blob Storage container. Which Azure service should you use to trigger the retraining pipeline?

Accepted Answer

Azure Event Grid. Azure Event Grid is a fully managed event-routing service that natively integrates with Blob Storage. When a blob is created in a container, Event Grid publishes a BlobCreated event that can trigger an Azure Function, Logic App, or webhook to invoke the Custom Vision retraining pipeline.

Answer

Azure ExpressRoute monitor

Answer

Azure Backup service

Answer

Azure Monitor alert rules

Question 8

You are processing customer feedback using sentiment analysis in the Azure AI Language service. You need to extract finer-grained information about specific product attributes mentioned in the reviews (e.g., finding out that the screen is bright but the battery life is poor). Which feature should you enable in your API request?

Accepted Answer

Opinion mining. Opinion mining in Azure AI Language sentiment analysis extracts fine-grained opinions about specific aspects or attributes mentioned in text, such as 'screen' and 'battery life'. It provides sentiment for each aspect, allowing you to determine that the screen is bright (positive) but battery life is poor (negative). This is exactly what the scenario requires.

Answer

PII detection

Answer

Language detection

Answer

Custom text classification

Question 9

Your organization is establishing a governance framework for Azure AI resources. You need to ensure cost control, tagging compliance, and security posture management across all subscriptions. Which THREE Azure services or features should you deploy? Each correct answer presents part of the solution.

Accepted Answer

Microsoft Defender for Cloud for security posture and compliance assessments. Azure Cost Management budgets with alerts (D) directly address cost control by letting you set spending thresholds per subscription and trigger notifications when actual or forecasted costs exceed them. Azure Policy (C) enforces tagging compliance and region restrictions by evaluating resource properties against built-in or custom policy definitions and applying deny, audit, or modify effects automatically. Microsoft Defender for Cloud (A) provides the security posture management piece through continuous secure score assessments, regulatory compliance dashboards, and recommendations across all subscriptions. Azure Bastion (B) is a managed jump-host service for secure RDP/SSH access to VMs, not a database query optimization tool, so it does not fit. Azure Traffic Manager (E) is a DNS-based global traffic load balancer for distributing user traffic across endpoints, not a database scaling mechanism, so it is also irrelevant here.

Answer

Azure Bastion for database query optimization

Answer

Azure Traffic Manager for database scaling

Question 10

You are building an automated asset management system that processes millions of images annually. To optimize costs and latency, you want to minimize the number of API calls while extracting tags, bounding box objects, and OCR text simultaneously. How should you structure your API request?

Accepted Answer

Include multiple comma-separated values in the features parameter, such as features=tags,objects,read.. The Image Analysis 4.0 analyze endpoint accepts a comma-separated features parameter, so a single POST with features=tags,objects,read returns all three result sets in one response. This minimizes billable transactions and network round-trips versus issuing separate calls. The response JSON contains separate sections (tags, objects, readResult) that the client parses independently.

Answer

Submit three separate asynchronous requests for tags, objects, and read.

Answer

Use the legacy Computer Vision v3.2 batch analysis endpoint.

Answer

Train a Custom Vision model to combine all three tasks.

Question 11

You are experiencing high latency in your RAG agent. You confirm the model response time is fine, but the retrieval step is slow. What should you investigate?

Accepted Answer

The index retrieval configuration and semantic ranker parameters.. Since the LLM response time is confirmed fine, the bottleneck is in the retrieval pipeline. Index configuration (chunk size, vector dimensions, HNSW/IVF parameters) and semantic ranker settings (which add an L2 reranking pass) directly determine retrieval latency. Tuning these — e.g., reducing semantic ranker usage or adjusting efSearch/kNN — is the correct investigation path.

Answer

The system prompt length.

Answer

The content safety threshold.

Answer

The model temperature.

Question 12

You are designing a multimodal solution that combines Azure AI Vision dense captions with Azure OpenAI GPT-4 Vision. You want to extract precise bounding box coordinates for multiple objects in complex scenes and pass them as structured context. Which API feature should you invoke?

Accepted Answer

features=denseCaptions. The denseCaptions feature of Azure AI Vision returns a caption for each detected region along with bounding box coordinates, making it ideal for extracting precise object locations in complex scenes. It provides both a natural-language description and the bounding box for each caption, which can be passed as structured context to GPT-4 Vision. This is the only feature in the list that pairs captions with bounding boxes for multiple objects.

Answer

features=objects

Answer

features=smartCrops

Answer

features=tags

Question 13

You are deploying an Azure AI Speech container on an Azure Kubernetes Service (AKS) cluster. Your security policy dictates that pod-to-pod communication within the cluster must be encrypted in transit using mTLS, and egress traffic to Azure must flow through a strict outbound firewall. Which Kubernetes feature should you implement?

Accepted Answer

Kubernetes Network Policies combined with a service mesh for mTLS. Kubernetes Network Policies enforce pod-level traffic rules (including egress restrictions to a firewall), while a service mesh (e.g., Istio, Linkerd, or Open Service Mesh) provides automatic mTLS for pod-to-pod communication. Together they satisfy both requirements: encrypted in-transit pod traffic and strict egress control. This is the standard AKS pattern for zero-trust pod networking.

Answer

Azure Container Registry vulnerability scanning

Answer

Azure Bastion deployed inside the AKS worker node subnet

Answer

AKS cluster auto-scaler configuration

Question 14

You need to evaluate customer reviews to determine whether the overall tone is positive, negative, or neutral. Which Azure AI Language feature should you use?

Accepted Answer

Sentiment analysis. Sentiment analysis is the Azure AI Language feature that evaluates text and returns a sentiment label (positive, negative, neutral, or mixed) along with confidence scores. It is specifically designed to determine the overall tone of customer reviews. The other features do not provide sentiment scoring.

Answer

Language detection

Answer

Named Entity Recognition

Answer

Key phrase extraction

Question 15

When sharing a Prompt Flow with a teammate, which action allows them to run the flow without having to recreate the connections?

Accepted Answer

Grant permissions to the shared Connection resource. When sharing a Prompt Flow with a teammate, the flow references a Connection resource by name. To let the teammate run the flow without recreating the connection, you grant them permissions (e.g., Cognitive Services User or equivalent RBAC role) on the shared Connection resource in Azure AI Foundry. This way the flow resolves the same connection at runtime for both users, and credentials remain centralized and secure.

Answer

Delete the connection and recreate it

Answer

Hardcode credentials into the flow

Answer

Export the flow as a text file