Microsoft DP-100 Dumps Questions Answers

Microsoft DP-100 Dumps

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Microsoft DP-100 Frequently Asked Questions

Microsoft DP-100 Sample Questions

Question # 1

You use the following code to run a script as an experiment in Azure Machine Learning: You must identify the output files that are generated by the experiment run. You need to add code to retrieve the output file names. Which code segment should you add to the script? 

A. files = run.get_properties() 
B. files= run.get_file_names() 
C. files = run.get_details_with_logs() 
D. files = run.get_metrics() 
E. files = run.get_details() 

Show Answer

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Question # 2

You write five Python scripts that must be processed in the order specified in Exhibit A – which allows the same modules to run in parallel, but will wait for modules with dependencies. You must create an Azure Machine Learning pipeline using the Python SDK, because you want to script to create the pipeline to be tracked in your version control system. You have created five PythonScriptSteps and have named the variables to match the module names.

A. Option A 
B. Option B 
C. Option C 
D. Option D 

Show Answer

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Question # 3

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. An IT department creates the following Azure resource groups and resources:  The IT department creates an Azure Kubernetes Service (AKS)-based inference compute target named aks-cluster in the Azure Machine Learning workspace. You have a Microsoft Surface Book computer with a GPU. Python 3.6 and Visual Studio Code are installed. You need to run a script that trains a deep neural network (DNN) model and logs the loss and accuracy metrics. Solution: Install the Azure ML SDK on the Surface Book. Run Python code to connect to the workspace and then run the training script as an experiment on local compute.

A. Yes 
B. No 

Show Answer

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Question # 4

A set of CSV files contains sales records. All the CSV files have the same data schema. Each CSV file contains the sales record for a particular month and has the filename sales.csv. Each file in stored in a folder that indicates the month and year when the data was recorded. The folders are in an Azure blob container for which a datastore has been defined in an Azure Machine Learning workspace. The folders are organized in a parent folder named sales to create the following hierarchical structure: At the end of each month, a new folder with that month’s sales file is added to the sales folder. You plan to use the sales data to train a machine learning model based on the following requirements: You must define a dataset that loads all of the sales data to date into a structure that can be easily converted to a dataframe. You must be able to create experiments that use only data that was created before a specific previous month, ignoring any data that was added after that month. You must register the minimum number of datasets possible. You need to register the sales data as a dataset in Azure Machine Learning service workspace. What should you do? 

A. Create a tabular dataset that references the datastore and explicitly specifies each 'sales/mm-yyyy/ sales.csv' file every month. Register the dataset with the name sales_dataset each month, replacing the existing dataset and specifying a tag named month indicating the month and year it was registered. Use this dataset for all experiments. 
B. Create a tabular dataset that references the datastore and specifies the path 'sales/*/sales.csv', register the dataset with the name sales_dataset and a tag named month indicating the month and year it was registered, and use this dataset for all experiments. 
C. Create a new tabular dataset that references the datastore and explicitly specifies each 'sales/mm-yyyy/ sales.csv' file every month. Register the dataset with the name sales_dataset_MM-YYYY each month with appropriate MM and YYYY values for the month and year. Use the appropriate month-specific dataset for experiments. 
D. Create a tabular dataset that references the datastore and explicitly specifies each 'sales/mm-yyyy/ sales.csv' file. Register the dataset with the name sales_dataset each month as a new version and with a tag named month indicating the month and year it was registered. Use this dataset for all experiments, identifying the version to be used based on the month tag as necessary. 

Show Answer

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Question # 5

You have the following Azure subscriptions and Azure Machine Learning service workspaces:

A. Yes 
B. No 

Show Answer

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Question # 6

You are creating a classification model for a banking company to identify possible instances of credit card fraud. You plan to create the model in Azure Machine Learning by using automated machine learning. The training dataset that you are using is highly unbalanced. You need to evaluate the classification model. Which primary metric should you use?

A. normalized_mean_absolute_error 
B. [spearman_correlation 
C. AUC.weighted 
D. accuracy 
E. normalized_root_mean_squared_error 

Show Answer

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Question # 7

You run an experiment that uses an AutoMLConfig class to define an automated machine learning task with a maximum of ten model training iterations. The task will attempt to find the best performing model based on a metric named accuracy. You submit the experiment with the following code: You need to create Python code that returns the best model that is generated by the automated machine learning task. Which code segment should you use?  

A. Option A 
B. Option B 
C. Option C 
D. Option D 

Show Answer

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Question # 8

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 train and register a machine learning model. You plan to deploy the model as a real-time web service. Applications must use key-based authentication to use the model. You need to deploy the web service. Solution: Create an AksWebservice instance. Set the value of the auth_enabled property to True. Deploy the model to the service. Does the solution meet the goal?

A. Yes
 B. No

Show Answer

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Question # 9

You use the following Python code in a notebook to deploy a model as a web service: The deployment fails. You need to use the Python SDK in the notebook to determine the events that occurred during service deployment an initialization. Which code segment should you use?

A. service.state 
B. service.environment 
C. service.get_logs() 
D. Service.serialize 

Show Answer

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Question # 10

You must use the Azure Machine Learning SDK to interact with data and experiments in the workspace. You need to configure the config.json file to connect to the workspace from the Python environment. Which two additional parameters must you add to the config.json file in order to connect to the workspace? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

A. subscription_Id 
B. Key 
C. resource_group 
D. region 
E. Login 

Show Answer

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Question # 11

You use the Azure Machine Learning service to create a tabular dataset named training.data. You plan to use this dataset in a training script. You create a variable that references the dataset using the following code: training_ds = workspace.datasets.get("training_data") You define an estimator to run the script. You need to set the correct property of the estimator to ensure that your script can access the training.data dataset Which property should you set?

A. Option A 
B. Option B 
C. Option C 
D. Option D 

Show Answer

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Question # 12

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 train a classification model by using a logistic regression algorithm. You must be able to explain the model’s predictions by calculating the importance of each feature, both as an overall global relative importance value and as a measure of local importance for a specific set of predictions. You need to create an explainer that you can use to retrieve the required global and local feature importance values. Solution: Create a MimicExplainer. Does the solution meet the goal? 

A. Yes 
B. No

Show Answer

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Question # 13

You create an Azure Machine Learning workspace. You must configure an event handler to send an email notification wten data drift is detected in the workspace datasets. You must minimize development efforts. You need to configure an Azure service to send the notification. Which Azure service should you use?

A. Azure Function apps 
B. Azure DevOps pipeline 
C. Azure Automation runbook 
D. Azure Logic Apps 

Show Answer

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Question # 14

You create a binary classification model. The model is registered in an Azure Machine Learning workspace. You use the Azure Machine Learning Fairness SDK to assess the model fairness. You develop a training script for the model on a local machine. You need to load the model fairness metrics into Azure Machine Learning studio. What should you do?

A. Implement the download_dashboard_by_upload_id function 
B. Implement the creace_group_metric_sec function 
C. Implement the upload_dashboard_dictionary function 
D. Upload the training script

Show Answer

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Question # 15

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 create an Azure Machine Learning service datastore in a workspace. The datastore contains the following files: • /data/2018/Q1 .csv • /data/2018/Q2.csv • /data/2018/Q3.csv • /data/2018/Q4.csv • /data/2019/Q1.csv All files store data in the following format: id,f1,f2,l 1,1,2,0 2,1,1,1 3.2.1.0 You run the following code:

A. Yes 
B. No 

Show Answer

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Question # 16

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 create an Azure Machine Learning service datastore in a workspace. The datastore contains the following files: • /data/2018/Q1 .csv • /data/2018/Q2.csv • /data/2018/Q3.csv • /data/2018/Q4.csv • /data/2019/Q1.csv All files store data in the following format: id,f1,f2,l 1,1,2,0 2,1,1,1 3.2.1.0 You run the following code:

A. Yes 
B. No 

Show Answer

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Question # 17

You use Azure Machine Learning Studio to build a machine learning experiment. You need to divide data into two distinct datasets. Which module should you use? 

A. Partition and Sample 
B. Assign Data to Clusters 
C. Group Data into Bins 
D. Test Hypothesis Using t-Test

Show Answer

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Question # 18

You create a workspace by using Azure Machine Learning Studio. You must run a Python SDK v2 notebook in the workspace by using Azure Machine Learning Studio. You must preserve the current values of variables set in the notebook for the current instance. You need to maintain the state of the notebook. What should you do?

A. Change the compute. 
B. Change the current kernel 
C. Stop the compute. 
D. Stop the current kernel. 

Show Answer

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Question # 19

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 

Show Answer

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Question # 20

You run a script as an experiment in Azure Machine Learning. You have a Run object named run that references the experiment run. You must review the log files that were generated during the experiment run. You need to download the log files to a local folder for review. Which two code segments can you run to achieve this goal? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

A. run.get_details() 
B. run.get_file_names() 
C. run.get_metrics()
D. run.download_files(output_directory='./runfiles') 
E. run.get_all_logs(destination='./runlogs') 

Show Answer

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Question # 21

You develop and train a machine learning model to predict fraudulent transactions for a hotel booking website. Traffic to the site varies considerably. The site experiences heavy traffic on Monday and Friday and much lower traffic on other days. Holidays are also high web traffic days. You need to deploy the model as an Azure Machine Learning real-time web service endpoint on compute that can dynamically scale up and down to support demand. Which deployment compute option should you use? 

A. attached Azure Databricks cluster
 B. Azure Container Instance (ACI) 
C. Azure Kubernetes Service (AKS) inference cluster 
D. Azure Machine Learning Compute Instance 
E. attached virtual machine in a different region 

Show Answer

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Question # 22

You train and register a model in your Azure Machine Learning workspace. You must publish a pipeline that enables client applications to use the model for batch inferencing. You must use a pipeline with a single ParallelRunStep step that runs a Python inferencing script to get predictions from the input data. You need to create the inferencing script for the ParallelRunStep pipeline step. Which two functions should you include? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

A. run(mini_batch) D 
B. main() 
C. batch()
 D. init() 
E. score(mini_batch) 

Show Answer

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Question # 23

You create a batch inference pipeline by using the Azure ML SDK. You run the pipeline by using the following code: from azureml.pipeline.core import Pipeline from azureml.core.experiment import Experiment pipeline = Pipeline(workspace=ws, steps=[parallelrun_step]) pipeline_run = Experiment(ws, 'batch_pipeline').submit(pipeline) You need to monitor the progress of the pipeline execution. What are two possible ways to achieve this goal? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

A. Option A 
B. Option B 
C. Option C
 D. Option D 
E. Option E 

Show Answer

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Question # 24

You are creating a new Azure Machine Learning pipeline using the designer. The pipeline must train a model using data in a comma-separated values (CSV) file that is published on a website. You have not created a dataset for this file. You need to ingest the data from the CSV file into the designer pipeline using the minimal administrative effort. Which module should you add to the pipeline in Designer?

A. Convert to CSV 
B. Enter Data Manually D
 C. Import Data 
D. Dataset

Show Answer

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