Question 96
You are using Azure Machine Learning to train machine learning models. You need a compute target on which to remotely run the training script. You run the following Python code:
Question 97
You are evaluating a Python NumPy array that contains six data points defined as follows:
data = [10, 20, 30, 40, 50, 60]
You must generate the following output by using the k-fold algorithm implantation in the Python Scikit-learn machine learning library:
train: [10 40 50 60], test: [20 30]
train: [20 30 40 60], test: [10 50]
train: [10 20 30 50], test: [40 60]
You need to implement a cross-validation to generate the output.
How should you complete the code segment? To answer, select the appropriate code segment in the dialog box in the answer area.
NOTE: Each correct selection is worth one point.
data = [10, 20, 30, 40, 50, 60]
You must generate the following output by using the k-fold algorithm implantation in the Python Scikit-learn machine learning library:
train: [10 40 50 60], test: [20 30]
train: [20 30 40 60], test: [10 50]
train: [10 20 30 50], test: [40 60]
You need to implement a cross-validation to generate the output.
How should you complete the code segment? To answer, select the appropriate code segment in the dialog box in the answer area.
NOTE: Each correct selection is worth one point.
Question 98
You are developing deep learning models to analyze semi-structured, unstructured, and structured data types.
You have the following data available for model building:
Video recordings of sporting events
Transcripts of radio commentary about events
Logs from related social media feeds captured during sporting events
You need to select an environment for creating the model.
Which environment should you use?
You have the following data available for model building:
Video recordings of sporting events
Transcripts of radio commentary about events
Logs from related social media feeds captured during sporting events
You need to select an environment for creating the model.
Which environment should you use?
Question 99
You need to identify the methods for dividing the data according, to the testing requirements.
Which properties should you select? To answer, select the appropriate option-, m the answer are a. NOTE: Each correct selection is worth one point.
Which properties should you select? To answer, select the appropriate option-, m the answer are a. NOTE: Each correct selection is worth one point.
Question 100
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?
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?