Exam Name: | Designing and Implementing a Data Science Solution on Azure | ||
Exam Code: | DP-100 Dumps | ||
Vendor: | Microsoft | Certification: | Microsoft Azure |
Questions: | 506 Q&A's | Shared By: | paris |
You need to select a pre built development environment for a series of data science experiments. You must use the R language for the experiments.
Which three environments can you use? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.
You create an Azure Machine Learning compute resource to train models. The compute resource is configured as follows:
Minimum nodes: 2
Maximum nodes: 4
You must decrease the minimum number of nodes and increase the maximum number of nodes to the following values:
Minimum nodes: 0
Maximum nodes: 8
You need to reconfigure the compute resource.
What are three possible ways to achieve this goal? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
You are profiling mltabte data assets by using Azure Machine Learning studio. You need to detect columns with odd or missing values. Which statistic should you analyze?
You plan to run a script as an experiment using a Script Run Configuration. The script uses modules from the scipy library as well as several Python packages that are not typically installed in a default conda environment.
You plan to run the experiment on your local workstation for small datasets and scale out the experiment by running it on more powerful remote compute clusters for larger datasets.
You need to ensure that the experiment runs successfully on local and remote compute with the least administrative effort.
What should you do?