Free Microsoft DP-100 Exam Questions

Question 1

You plan to use the Hyperdrive feature of Azure Machine Learning to determine the optimal hyperparameter values when training a model. You must use Hyperdrive to try combinations of the following hyperparameter values: learning_rate: any value between 0.001 and 0.1 batch_size: 16, 32, or 64 You need to configure the search space for the Hyperdrive experiment. Which two parameter expressions should you use? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

A : a choice expression for learning_rate

B : a normal expression for batch_size

C : a choice expression for batch_size

D : a uniform expression for batch_size

Answer: B,D

Question 2

You plan to use the Hyperdrive feature of Azure Machine Learning to determine the optimal hyperparameter values when training a model. You must use Hyperdrive to try combinations of the following hyperparameter values: learning_rate: any value between 0.001 and 0.1 batch_size: 16, 32, or 64 You need to configure the search space for the Hyperdrive experiment. Which two parameter expressions should you use? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

A : a choice expression for learning_rate

B : a normal expression for batch_size

C : a choice expression for batch_size

D : a uniform expression for batch_size

Answer: B,D

Question 3

You manage an Azure Machine learning workspace named workspace1. You must develop Python SDK v2 code to add a compute instance to workspace1. The code must import all required modules and call the constructor of the Compute instance class. You need to add the instantiated compute instance to workspace 1. What should you use?

A : constructor of the azure ai.ml. ComputerPowerAction enemy

B : set resources method of an instance of the azureai.ml. Command class

C : begin create or update method of a stance of the azure.ai. imLMLCSentdass

D : contractor of the azure.ai.ml. mLComputeSchedule class

Answer: C

Question 4

You create an Azure Machine Learning compute resource to train models. The compute resource is configured

as follows:

Minimum nodes: 2

Maximum nodes: 4

You must decrease the minimum number of nodes and increase the maximum number of nodes to the

following values:

Minimum nodes: 0

Maximum nodes: 8

You need to reconfigure the compute resource.

What are three possible ways to achieve this goal? Each correct answer presents a complete solution

NOTE: Each correct selection is worth one point.

A : the Azure Machine Learning studio.

B : n the update method of the AmlCompute class in the Python SDK.

C : the Azure portal.

D : the Azure Machine Learning designer.

E : n the refresh_state() method of the BatchCompute class in the Python SDK

Answer: A,B,C

Question 5

You train and register an Azure Machine Learning model You plan to deploy the model to an online endpoint You need to ensure that applications will be able to use the authentication method with a nonexpiring artifact to access the model. Solution: Create a managed online endpoint and set the value of its auth.mode parameter to aml.token. Deploy the model to the online endpoint. Does the solution meet the goal?

A : Yes

B : No

Answer: B