DP-100 Online Practice Questions and Answers

Correct Answer:

Box 1: Yes

The compute is created within your workspace region as a resource that can be shared with other users.

Box 2: Yes

It is displayed as a compute cluster.

View compute targets

1.

To see all compute targets for your workspace, use the following steps:

2.

Navigate to Azure Machine Learning studio.

3.

Under Manage, select Compute.

4.

Select tabs at the top to show each type of compute target.

Box 3: Yes

min_nodes is not specified, so it defaults to 0.

Reference:

https://docs.microsoft.com/en-us/python/api/azureml-core/azureml.core.compute.amlcompute.amlcomputeprovisioningconfiguration

https://docs.microsoft.com/en-us/azure/machine-learning/how-to-create-attach-compute-studio

Correct Answer:

Correct Answer: CE

C: Make sure your Windows system supports Hardware Virtualization Technology and that virtualization is enabled. Ensure that hardware virtualization support is turned on in the BIOS settings. For example:

E: To run Docker, your machine must have a 64-bit operating system running Windows 7 or higher.

References:

https://docs.docker.com/toolbox/toolbox_install_windows/

https://blogs.technet.microsoft.com/canitpro/2015/09/08/step-by-step-enabling-hyper-v-for-use-on- windows-10/

Correct Answer: B

The Azure Machine Learning SDK does not provide support scaling an AKS cluster. To scale the nodes in the cluster, use the UI for your AKS cluster in the Azure Machine Learning studio. You can only change the node count, not the VM size of the cluster.

Reference: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-create-attach-kubernetes

Correct Answer: D

Pearson's correlation statistic, or Pearson's correlation coefficient, is also known in statistical models as the r value. For any two variables, it returns a value that indicates the strength of the correlation

Pearson's correlation coefficient is the test statistics that measures the statistical relationship, or association, between two continuous variables. It is known as the best method of measuring the association between variables of interest

because it is based on the method of covariance. It gives information about the magnitude of the association, or correlation, as well as the direction of the relationship.

Incorrect Answers:

C: The two-way chi-squared test is a statistical method that measures how close expected values are to actual results.

Reference: https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/filter-based-feature- selection https://www.statisticssolutions.com/pearsons-correlation-coefficient/

Correct Answer: D

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

A: A violin plot is a visual that traditionally combines a box plot and a kernel density plot.

B: Gradient descent is a first-order iterative optimization algorithm for finding the minimum of a function. To find a local minimum of a function using gradient descent, one takes steps proportional to the negative of the gradient (or approximate gradient) of the function at the current point.

C: A scatter plot graphs the actual values in your data against the values predicted by the model. The scatter plot displays the actual values along the X-axis, and displays the predicted values along the Y-axis. It also displays a line that illustrates the perfect prediction, where the predicted value exactly matches the actual value.

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

Correct Answer: B

wait_for_completion: Wait for the completion of this run. Returns the status object after the wait.

Syntax: wait_for_completion(show_output=False, wait_post_processing=False, raise_on_error=True)

Parameter: show_output

Indicates whether to show the run output on sys.stdout.

Correct Answer: A

Use the SMOTE module in Azure Machine Learning Studio to increase the number of underrepresented cases in a dataset used for machine learning. SMOTE is a better way of increasing the number of rare cases than simply duplicating existing cases.

Reference: https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/smote

Correct Answer: B

Azure Machine Learning compute clusters is used for Batch inference. Run batch scoring on serverless compute. Supports normal and low-priority VMs. No support for real-time inference.

Reference: https://docs.microsoft.com/en-us/azure/machine-learning/concept-compute-target

Correct Answer: C

AutoMLConfig Class

Represents configuration for submitting an automated ML experiment in Azure Machine Learning.

This configuration object contains and persists the parameters for configuring the experiment run, as well as the training data to be used at run time.

Constructor

Featurization str or FeaturizationConfig

'auto' / 'off' / FeaturizationConfig Indicator for whether featurization step should be done automatically or not, or whether customized featurization should be used.

Column type is automatically detected. Based on the detected column type preprocessing/featurization is done as follows:

Categorical: Target encoding, one hot encoding, drop high cardinality categories, impute missing values.

*-> Numeric: Impute missing values, cluster distance, weight of evidence.

DateTime: Several features such as day, seconds, minutes, hours etc.

Text: Bag of words, pre-trained Word embedding, text target encoding.

Reference:

https://learn.microsoft.com/en-us/python/api/azureml-train-automl-client/azureml.train.automl.automlconfig.automlconfig https://docs.microsoft.com/en-us/azure/machine-learning/how-to-use-automated-ml-for-ml-models