Microsoft Microsoft Certifications DP-100 Questions & Answers

• Question 421:

  You need to select an environment that will meet the business and data requirements. Which environment should you use?

  A. Azure HDInsight with Spark MLlib

  B. Azure Cognitive Services

  C. Azure Machine Learning Studio

  D. Microsoft Machine Learning Server

  Correct Answer: D

• Question 422:

  You need to implement a new cost factor scenario for the ad response models as illustrated in the performance curve exhibit. Which technique should you use?

  A. Set the threshold to 0.5 and retrain if weighted Kappa deviates +/- 5% from 0.45.

  B. Set the threshold to 0.05 and retrain if weighted Kappa deviates +/- 5% from 0.5.

  C. Set the threshold to 0.2 and retrain if weighted Kappa deviates +/- 5% from 0.6.

  D. Set the threshold to 0.75 and retrain if weighted Kappa deviates +/- 5% from 0.15.

  Correct Answer: A

  Scenario:

  Performance curves of current and proposed cost factor scenarios are shown in the following diagram:

  

  The ad propensity model uses a cut threshold is 0.45 and retrains occur if weighted Kappa deviated from 0.1 +/- 5%.

• Question 423:

  You create a script that trains a convolutional neural network model over multiple epochs and logs the validation loss after each epoch. The script includes arguments for batch size and learning rate.

  You identify a set of batch size and learning rate values that you want to try.

  You need to use Azure Machine Learning to find the combination of batch size and learning rate that results in the model with the lowest validation loss.

  What should you do?

  A. Run the script in an experiment based on an AutoMLConfig object

  B. Create a PythonScriptStep object for the script and run it in a pipeline

  C. Use the Automated Machine Learning interface in Azure Machine Learning studio

  D. Run the script in an experiment based on a ScriptRunConfig object

  E. Run the script in an experiment based on a HyperDriveConfig object

  Correct Answer: E

  Reference: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-tune-hyperparameters