Microsoft Role-based DP-100 Questions & Answers

• Question 1:

  DRAG DROP

  You need to correct the model fit issue.

  Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

  Select and Place:

  

  Correct Answer:

  

  Step 1: Augment the data

  Scenario: Columns in each dataset contain missing and null values. The datasets also contain many outliers.

  Step 2: Add the Bayesian Linear Regression module.

  Scenario: You produce a regression model to predict property prices by using the Linear Regression and Bayesian Linear Regression modules.

  Step 3: Configure the regularization weight.

  Regularization typically is used to avoid overfitting. For example, in L2 regularization weight, type the value to use as the weight for L2 regularization. We recommend that you use a non-zero value to avoid overfitting.

  Scenario:

  Model fit: The model shows signs of overfitting. You need to produce a more refined regression model that reduces the overfitting.

  Incorrect Answers:

  Multiclass Decision Jungle module:

  Decision jungles are a recent extension to decision forests. A decision jungle consists of an ensemble of decision directed acyclic graphs (DAGs).

  L-BFGS:

  L-BFGS stands for "limited memory Broyden-Fletcher-Goldfarb-Shanno". It can be found in the wwo-Class Logistic Regression module, which is used to create a logistic regression model that can be used to predict two (and only two)

  outcomes.

  References:

  https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/linear-regr ession

• Question 2:

  You have an Azure Machine Learning workspace. You are connecting an Azure Data Lake Storage Gen2 account to the workspace as a data store.

  You need to authorize access from the workspace to the Azure Data Lake Storage Gen2 account.

  What should you use?

  A. Service principal

  B. SAS token

  C. Managed identity

  D. Account key

  Correct Answer: C

  Roles and requirements for Azure Data Share With Azure Data Share service, you can share data without exchanging credentials between data provider and consumer. For snapshot-based sharing, Azure Data Share service uses Managed Identities (previously known as MSIs) to authenticate to Azure data store. Azure Data Share resource's managed identity needs to be granted access to Azure data store to read or write data.

  Reference: https://learn.microsoft.com/en-us/azure/data-share/concepts-roles-permissions

• Question 3:

  You use the Azure Machine Learning SDK for Python v1 and notebooks to train a model. You create a compute target, an environment, and a training script by using Python code.

  You need to prepare information to submit a training run.

  Which class should you use?

  A. ScriptRun

  B. ScriptRunConfig

  C. RunConfiguration

  D. Run

  Correct Answer: B

  A ScriptRunConfig is used to configure the information necessary for submitting a training job as part of an experiment.

  Reference: https://learn.microsoft.com/en-us/azure/machine-learning/v1/how-to-set-up-training-targets

• Question 4:

  You use Azure Machine Learning designer to load the following datasets into an experiment: Dataset1

  

  Dataset2

  

  You need to create a dataset that has the same columns and header row as the input datasets and contains all rows from both input datasets.

  Solution: Use the Execute Python Script module.

  Does the solution meet the goal?

  A. Yes

  B. No

  Correct Answer: B

  Instead use solution: Use the Add Rows module.

  Note: Add Rows component

  Use this component to concatenate two datasets. In concatenation, the rows of the second dataset are added to the end of the first dataset.

  Concatenation of rows is useful in scenarios such as these:

  You have generated a series of evaluation statistics, and you want to combine them into one table for easier reporting.

  You have been working with different datasets, and you want to combine the datasets to create a final dataset.

  Reference: https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/add-rows

• Question 5:

  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

  Correct Answer: D

• Question 6:

  You are authoring a notebook in Azure Machine Learning studio.

  You must install packages from the notebook into the currently running kernel. The installation must be limited to the currently running kernel only.

  You need to install the packages.

  Which magic function should you use?

  A. !pip

  B. %pip

  C. !conda

  D. %load

  Correct Answer: B

  Manage packages Since your compute instance has multiple kernels, make sure use %pip or %conda magic functions, which install packages into the currently running kernel. Don't use !pip or !conda, which refers to all packages (including packages outside the currently running kernel).

  Reference: https://learn.microsoft.com/en-us/azure/machine-learning/how-to-run-jupyter-notebooks

• Question 7:

  You use Azure Machine Learning designer to load the following datasets into an experiment: Dataset1

  

  Dataset2

  

  You need to create a dataset that has the same columns and header row as the input datasets and contains all rows from both input datasets.

  Solution: Use the Add Rows module.

  Does the solution meet the goal?

  A. Yes

  B. No

  Correct Answer: A

  Add Rows component

  Use this component to concatenate two datasets. In concatenation, the rows of the second dataset are added to the end of the first dataset.

  Concatenation of rows is useful in scenarios such as these:

  You have generated a series of evaluation statistics, and you want to combine them into one table for easier reporting.

  You have been working with different datasets, and you want to combine the datasets to create a final dataset.

  Reference: https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/add-rows

• Question 8:

  You use Azure Machine Learning designer to load the following datasets into an experiment: Dataset1

  

  Dataset2

  

  You need to create a dataset that has the same columns and header row as the input datasets and contains all rows from both input datasets.

  Solution: Use the Apply Transformation module.

  Does the solution meet the goal?

  A. Yes

  B. No

  Correct Answer: B

  Instead use solution: Use the Add Rows module.

  Note: Add Rows component

  Use this component to concatenate two datasets. In concatenation, the rows of the second dataset are added to the end of the first dataset.

  Concatenation of rows is useful in scenarios such as these:

  You have generated a series of evaluation statistics, and you want to combine them into one table for easier reporting.

  You have been working with different datasets, and you want to combine the datasets to create a final dataset.

  Reference: https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/add-rows

• Question 9:

  You are evaluating a completed binary classification machine. You need to use the precision as the evaluation metric. Which visualization should you use?

  A. scatter plot

  B. coefficient of determination

  C. Receiver Operating Characteristic CROC) curve

  D. Gradient descent

  Correct Answer: C

  Receiver operating characteristic (or ROC) is a plot of the correctly classified labels vs. the incorrectly classified labels for a particular model.

  References:

  https://docs.microsoft.com/en-us/azure/machine-learning/how-to-understand-automated- ml#confusion- matrix

• Question 10:

  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.

  Correct Answer: B