Microsoft Microsoft Certifications DP-100 Questions & Answers

• Question 171:

  You create an Azure Machine Learning workspace.

  You must configure an event-driven workflow to automatically trigger upon completion of training runs in the workspace. The solution must minimize the administrative effort to configure the trigger.

  You need to configure an Azure service to automatically trigger the workflow.

  Which Azure service should you use?

  A. Event Grid subscription

  B. Azure Automation runbook

  C. Event Hubs Capture

  D. Event Hubs consumer

  Correct Answer: B

• Question 172:

  You are developing a machine learning model by using Azure Machine Learning. You are using multiple text files in tabular format for model data. You have the following requirements:

  1.

  You must use AutoML jobs to train the model.

  2.

  You must use data from specified columns.

  3.

  The data concept must support lazy evaluation. You need to load data into a Pandas dataframe. Which data concept should you use?

  A. Data asset

  B. URI

  C. Datastore

  D. MLTable

  Correct Answer: C

• Question 173:

  You use the Azure Machine Learning Python SDK to create a batch inference pipeline.

  You must publish the batch inference pipeline so that business groups in your organization can use the pipeline. Each business group must be able to specify a different location for the data that the pipeline submits to the model for scoring.

  You need to publish the pipeline.

  What should you do?

  A. Create multiple endpoints for the published pipeline service and have each business group submit jobs to its own endpoint.

  B. Define a PipelineParameter object for the pipeline and use it to specify the business group-specific input dataset for each pipeline run.

  C. Define a OutputFileDatasetConfig object for the pipeline and use the object to specify the business group-specific input dataset for each pipeline run.

  D. Have each business group run the pipeline on local compute and use a local file for the input data.

  Correct Answer: C

• Question 174:

  You are creating a compute target to train a machine learning experiment.

  The compute target must support automated machine learning, machine learning pipelines, and Azure Machine Learning designer training.

  You need to configure the compute target

  Which option should you use?

  A. Azure HDInsight

  B. Azure Machine Learning compute cluster

  C. Azure Batch

  D. Remote VM

  Correct Answer: B

• Question 175:

  You have an Azure Machine Learning workspace named workspaces.

  You must add a datastore that connects an Azure Blob storage container to workspaces.

  You must be able to configure a privilege level.

  You need to configure authentication.

  Which authentication method should you use?

  A. Account key

  B. SAS token

  C. Service principal

  D. Managed identity

  Correct Answer: D

• Question 176:

  You manage an Azure Machine Learning workspace by using the Azure CLI ml extension v2.

  You need to define a YAML schema to create a compute cluster.

  Which schema should you use?

  A. https://azuremlschemas.azureedge.net/latest/computdnstarKeichema.json

  B. https://azuremlschemas.azureedge.net/latest/amlCompute.schemajson

  C. https://azuremlschemas.azureedge.net/latest/vmCompute.schema.json

  D. https://azuremlschemas.azureedge.net/latest/kubernetesCompute.schema.json

  Correct Answer: B

• Question 177:

  Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while

  others might not have a correct solution.

  After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

  You are using Azure Machine Learning to run an experiment that trains a classification model.

  You want to use Hyperdrive to find parameters that optimize the AUC metric for the model. You configure a HyperDriveConfig for the experiment by running the following code:

  

  You plan to use this configuration to run a script that trains a random forest model and then tests it with validation data. The label values for the validation data are stored in a variable named y_test variable, and the predicted probabilities from the model are stored in a variable named y_predicted.

  Solution: Run the following code:

  

  Does the solution meet the goal?

  A. Yes

  B. No

  Correct Answer: A

• Question 178:

  You create an Azure Machine Learning workspace. You train an MLflow-formatted regression model by using tabular structured data.

  You must use a Responsible Al dashboard to assess the model.

  You need to use the Azure Machine Learning studio Ul to generate the Responsible A dashboard.

  What should you do first?

  A. Deploy the model to a managed online endpoint.

  B. Register the model with the workspace.

  C. Create the model explanations.

  D. Convert the model from the MLflow format to a custom format.

  Correct Answer: D

• Question 179:

  You use Azure Machine Learning studio to analyze a dataset containing a decimal column named column1. You need to verity that the column1 values are normally distributed. Which static should you use?

  A. Profile

  B. Type

  C. Max

  D. Mean

  Correct Answer: A

• Question 180:

  You are conducting feature engineering to prepuce data for further analysis.

  The data includes seasonal patterns on inventory requirements.

  You need to select the appropriate method to conduct feature engineering on the data.

  Which method should you use?

  A. Exponential Smoothing (ETS) function.

  B. One Class Support Vector Machine module.

  C. Time Series Anomaly Detection module.

  D. Finite Impulse Response (FIR) Filter module.

  Correct Answer: D