AI-300 Practice Test 5 — 10 Questions

Question 1

You are experiencing throttling on your AI endpoint. Which TWO steps should you take?

Accepted Answer

Check current usage against quota limits.. To resolve throttling, you need to either optimize usage or increase the available quota/capacity.

Answer

Disable all security features.

Answer

Change the model version to one that is faster but less smart.

Answer

Delete all existing deployments.

Question 2

You are building a RAG application. Where should you store the indexed documents for optimal retrieval performance?

Accepted Answer

Azure AI Search. Azure AI Search is the native indexer and retriever for AI Foundry RAG applications.

Answer

Azure Blob Storage

Answer

Azure Cache for Redis

Answer

Azure SQL Database

Question 3

Which THREE factors contribute to increased latency in an LLM application?

Accepted Answer

The size/complexity of the chosen model.. Model size, input/output token count, and network transit time are the main drivers of latency.

Answer

The number of system messages used.

Answer

The use of JSON output mode.

Question 4

You want to automate the scaling of your AI agent orchestration. Which TWO components do you need to configure?

Accepted Answer

Autoscale policies.. Auto-scaling is driven by metrics and defined by policies that govern instance counts.

Answer

A manual human-in-the-loop review.

Answer

Hardcoded instance counts.

Answer

Static IP addresses.

Question 5

What is the primary function of a 'Prompt Template' in an Azure AI Prompt Flow?

Accepted Answer

To define the structure of the prompt with dynamic inputs. A prompt template allows users to define the structure of the prompt while injecting dynamic variables.

Answer

To cache previous responses

Answer

To perform load balancing

Answer

To automatically retrain the model

Question 6

You have a new model deployment that is incurring high costs. How can you find the top-consuming deployments?

Accepted Answer

Use 'Cost Analysis' in the Azure Portal.. The cost analysis tool in the Azure portal allows you to group costs by 'Resource' or 'Tag' to identify top-consuming deployments.

Answer

Check the 'Activity Log'.

Answer

Check the Azure AI Foundry 'Deployments' page.

Answer

Review the 'Quotas' tab.

Question 7

You are configuring a chat application. What is the benefit of enabling streaming in the Azure OpenAI API?

Accepted Answer

Reduces time-to-first-token (TTFT) perception for the end-user.. Streaming improves perceived latency by delivering tokens as they are generated.

Answer

Increases the model's accuracy.

Answer

Removes the need for a system prompt.

Answer

Decreases the total number of tokens consumed.

Question 8

What is the primary function of the 'Prompt Flow' tool within Azure AI Foundry?

Accepted Answer

To create and test prompt-based workflows.. Prompt Flow is a development tool designed to streamline the entire development cycle of AI applications, from prototyping to deployment.

Answer

To manage Azure subscriptions.

Answer

To perform data visualization.

Answer

To manage firewall rules.

Question 9

You are configuring an agent orchestration system using Prompt Flow. You need to capture trace data for every step in the agent's reasoning process. Which infrastructure component must be enabled to visualize this in Azure AI Foundry?

Accepted Answer

Enable Azure Monitor diagnostic settings to stream Prompt Flow logs to a Log Analytics workspace.. Enabling the connection to an Azure Log Analytics workspace within the Prompt Flow project settings allows for the storage and visualization of trace data.

Answer

Configure the Prompt Flow runtime to use a Managed Identity with read access to the Blob Storage account.

Answer

Deploy a specialized Azure Function to intercept and log flow run events.

Answer

Increase the timeout threshold in the runtime environment settings.

Question 10

You want to measure 'Relevance' in a RAG application. The relevance evaluator detects how well the response answers the user query. If the model provides a factually correct answer that does not address the prompt, which metric will capture this failure?

Accepted Answer

Relevance. Relevance specifically measures if the response directly addresses the user's intent.

Answer

Fluency

Answer

Coherence

Answer

Groundedness