AI-300 Practice Test 10 — 10 Questions

Question 1

You are using Azure Machine Learning Pipelines. Which THREE triggers can be used to start a pipeline?

Accepted Answer

Scheduled trigger.. REST endpoints, schedule, and event-based triggers (e.g., dataset changes) are supported.

Answer

Manual file drag-and-drop.

Answer

Direct code modification in the UI.

Question 2

What is the benefit of using 'Azure Machine Learning Datasets' (or Data Assets) over raw storage paths?

Accepted Answer

They provide versioning and lineage tracking.. Data Assets allow for versioning, lineage tracking, and simplified usage across different compute targets.

Answer

They convert data to Parquet format.

Answer

They automatically remove duplicate records.

Answer

They are faster to read.

Question 3

You are deploying a model via a Managed Online Endpoint. You want to implement a Canary deployment where 10% of traffic is sent to a new model version. How do you configure this?

Accepted Answer

Configure the 'traffic' parameter in the 'az ml online-endpoint update' command.. You use the 'update' command on the endpoint to set the 'traffic' parameter, distributing weights across deployment names.

Answer

Modify the 'inference_config.json' file to include weights.

Answer

Create two endpoints and use an Azure Load Balancer.

Answer

Set the 'replica_count' to 10% of total capacity.

Question 4

You are configuring an 'Azure Machine Learning Compute Cluster' for a heavy training job. You want to ensure it shuts down automatically when no jobs are running. What setting should you configure?

Accepted Answer

'min_nodes' set to 0.. The 'idle_seconds_before_scaledown' property in the compute configuration determines how long the cluster waits before removing idle nodes.

Answer

'max_nodes' set to 0.

Answer

'cluster_priority' to 'LowPriority'.

Question 5

You are managing model lifecycle security. Which THREE actions are recommended to secure your ML models?

Accepted Answer

Store secrets in Azure Key Vault.. Use RBAC, Key Vault for secrets, and private endpoints for network security.

Answer

Allow all traffic in NSGs.

Answer

Make all Datastores public.

Question 6

You are troubleshooting a deployment. Which THREE logs are most helpful to check?

Accepted Answer

Deployment status logs.. Application logs, system logs, and deployment status logs are crucial.

Answer

User browser logs.

Answer

Azure billing logs.

Question 7

Which THREE of the following represent lifecycle stages of an ML model in Azure ML?

Accepted Answer

Training. Training, Registration, and Deployment are sequential stages in the model lifecycle.

Answer

Data Cleaning

Answer

Policy Enforcement

Question 8

You have an Azure Machine Learning pipeline that uses 'PipelineData' to pass information between steps. You want to share data between a training step and a scoring step. What is the recommended way to persist this data?

Accepted Answer

Use an 'OutputDataBinding' to a registered Datastore.. 'PipelineData' allows intermediate data passing, but 'OutputDataBindings' are preferred for persisting artifacts that need to be accessed later, such as model files.

Answer

Embed the data in the run metadata.

Answer

Write the file to the local temp directory.

Answer

Use an environment variable to pass the file path.

Question 9

Which THREE of the following are key components of a robust MLOps strategy in Azure?

Accepted Answer

Automated CI/CD pipelines. Version control, automated pipelines, and model monitoring are pillars of MLOps.

Answer

Manual model testing

Answer

Using only local workstations

Question 10

Which TWO resources are created inside an Azure Machine Learning workspace?

Accepted Answer

Compute cluster.. Compute and Datastores are resources managed within the workspace.

Answer

External website.

Answer

Azure Active Directory.

Answer

Office 365 tenant.