Designing and Implementing a Data Science Solution on Azure Demo Questions
Here you can find Designing and Implementing a Data Science Solution on Azure exam sample questions which will help you to prepare for your upcoming certification test. These questions will give you an idea of what to expect on the exam and help you review the DP-100 study material. Be sure to go over the Free DP-100 questions multiple times so that you are confident and comfortable with the material. You can always go to the full DP-100 dumps here.
These Designing and Implementing a Data Science Solution on Azure certification questions are designed to give you a feel for the material you'll be tested on. They cover a wide range of topics, so you can get a sense of what to expect on examination day.
These DP-100 dumps are updated regularly, so you can be confident that you're studying with the most up-to-date information available. We also provide answer keys so that students can check their work.
Additionally, going through Designing and Implementing a Data Science Solution on Azure practice questions can help you identify any areas where you need more review. Taking advantage of our DP-100 demo questions is a great way to set yourself up for success on the real thing.
These Designing and Implementing a Data Science Solution on Azure questions cover the material that will be on the test, and provide an opportunity for students to practice their skills. The questions are designed to be similar to those that will be on the actual Designing and Implementing a Data Science Solution on Azure exam, so that students can get a feel for what they will be facing. We believe that by providing these demo questions, students will be better prepared and more likely to succeed on their exams.
Good luck for the DP-100 exam!
Designing and Implementing a Data Science Solution on Azure Sample Questions:
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.
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).
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
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
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.
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.
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
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
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