Question: 1
You plan to use .a Deep learning Virtual Machine (DLVM) to train deep learning models using Compute Unified Device Architecture (CUDA) computations.
You need to configure the IXVM to support CUOA
What should you implement?
Question: 2
You are determining if two sets of data are significantly different from one another by using Azure Machine Learning Studio.
Estimated values in one set of data may be more than or less than reference values in the other set of data. You must produce a distribution that has a constant. Type I error as a function of the correlation.
You need to produce the distribution.
Which type of distribution should you produce?
Question: 3
You are creating a machine learning model.
You need to identify outliers data.
Which two visualizations can you use? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
Question: 4
You are evaluating, a completed binary classification machine learning model.
You need to use the precision as the evaluation metric.
Which visualization should you use?
Question: 5
Your team is building a data engineering and data science development environment.
The environment must support the following requirements:
*support Python and Scala
*compose data storage, movement, and processing services into automated data pipelines
*the same tool should be used for the orchestration of both data engineering and data science
*support workload isolation and interactive workloads
*enable scaling across a cluster of machines
You need to create the environment.
What should you do?
