2022 Update Azure Data Scientist DP-100 Exam Dumps

Free Microsoft DP-100 Practice Exam Q&As Designing and Implementing a Data Science Solution on Azure https://www.passcert.com/DP-100.html

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1. You need to implement a model development strategy to determine a user’s tendency to respond to an ad.

Which technique should you use?

A. Use a Relative Expression Split module to partition the data based on centroid distance.

B. Use a Relative Expression Split module to partition the data based on distance travelled to the event.

C. Use a Split Rows module to partition the data based on distance travelled to the event.

D. Use a Split Rows module to partition the data based on centroid distance.

Answer: A

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2. You need to resolve the local machine learning pipeline performance issue.

What should you do?

A. Increase Graphic Processing Units (GPUs).

B. Increase the learning rate.

C. Increase the training iterations, D. Increase Central Processing Units (CPUs).

Answer: A

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3. 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 Answer: D

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4. You need to implement a scaling strategy for the local penalty detection data.

Which normalization type should you use?

A. Streaming B. Weight C. Batch D. Cosine Answer: C

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5. You need to implement a feature engineering strategy for the crowd sentiment local models.

What should you do?

A. Apply an analysis of variance (ANOVA).

B. Apply a Pearson correlation coefficient.

C. Apply a Spearman correlation coefficient.

D. Apply a linear discriminant analysis.

Answer: D

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6. 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.

Answer: A

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7.You need to select a feature extraction method.

Which method should you use?

A. Spearman correlation B. Mutual information C. Mann-Whitney test D. Pearson’s correlation Answer: A

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8. You need to select a feature extraction method.

Which method should you use?

A. Mutual information B. Mood’s median test C. Kendall correlation D. Permutation Feature Importance Answer: C

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9. You train and register a machine learning model. You create a batch inference pipeline that uses the model to generate predictions from multiple data files.

You must publish the batch inference pipeline as a service that can be scheduled to run every night.

You need to select an appropriate compute target for the inference service.

Which compute target should you use?

A. Azure Machine Learning compute instance B. Azure Machine Learning compute cluster C. Azure Kubernetes Service (AKS)-based inference cluster D. Azure Container Instance (ACI) compute target Answer: B

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10.You create and register a model in an Azure Machine Learning workspace.

You must use the Azure Machine Learning SDK to implement a batch inference pipeline that uses a ParallelRunStep to score input data using the model. You must specify a value for the ParallelRunConfig compute_target setting of the pipeline step.

You need to create the compute target.

Which class should you use?

A. BatchCompute B. AdlaCompute C. AmlCompute D. Aks Compute Answer: C