A company uses Azure Machine Learning to deploy a model. They want to automate the deployment pipeline so that every code commit triggers a new model build and deployment to a staging endpoint. Which approach should they use?

Create an Azure Function that runs on a timer to redeploy the model

Manually upload the model to Azure Blob Storage and create a new endpoint each time

Set up an Azure DevOps pipeline with a build and release stage that calls the Azure ML CLI or SDK

Use Azure Logic Apps to retrain the model on a schedule

CertNexusCertified Data Science Practitioner (CDSP)

Domain 6Objective 2

Deploy and Manage Models CERTIFIED-DATA-SCIENCE-PRACTITIONER Practice Questions (Page 2)

Part of the 6.0 Operationalizing the pipeline domain, which accounts for 5-8% of the CERTIFIED-DATA-SCIENCE-PRACTITIONER exam.

36questions here

8free pages

8concepts

5-8%of the exam

Questions 6–10

6foundation · easy
In Kubernetes, which object provides a stable network endpoint (e.g., a DNS name) so that other applications can reliably reach a set of pods, even as pods are created or destroyed?
Select an answer first
7foundation · easy
In a Dockerfile, which instruction is used to specify the base image that the container will be built from?
Select an answer first
8application · medium
A company uses Azure Machine Learning to deploy a model. They want to automate the deployment pipeline so that every code commit triggers a new model build and deployment to a staging endpoint. Which approach should they use?
Select an answer first
9foundation · easy
In MLflow, which component is used to store and manage different versions of trained models, including stage transitions (e.g., from Staging to Production)?
Select an answer first
10foundation · easy
In Kubernetes, which object is used to define a desired state for a set of identical pods, such as the number of replicas and the container image to run?
Select an answer first

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Deploy and Manage Models CERTIFIED-DATA-SCIENCE-PRACTITIONER Practice Questions (Page 2)

Questions 6–10

In Kubernetes, which object provides a stable network endpoint (e.g., a DNS name) so that other applications can reliably reach a set of pods, even as pods are created or destroyed?

In a Dockerfile, which instruction is used to specify the base image that the container will be built from?

A company uses Azure Machine Learning to deploy a model. They want to automate the deployment pipeline so that every code commit triggers a new model build and deployment to a staging endpoint. Which approach should they use?

In MLflow, which component is used to store and manage different versions of trained models, including stage transitions (e.g., from Staging to Production)?

In Kubernetes, which object is used to define a desired state for a set of identical pods, such as the number of replicas and the container image to run?

Keep studying — 6.0 Operationalizing the pipeline