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NEW QUESTION: 1
You create a batch inference pipeline by using the Azure ML SDK. You run the pipeline by using the following code:
from azureml.pipeline.core import Pipeline
from azureml.core.experiment import Experiment
pipeline = Pipeline(workspace=ws, steps=[parallelrun_step])
pipeline_run = Experiment(ws, 'batch_pipeline').submit(pipeline)
You need to monitor the progress of the pipeline execution.
What are two possible ways to achieve this goal? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A. Option D
B. Option E
C. Option C
D. Option B
E. Option A
Answer: A,B
Explanation:
A batch inference job can take a long time to finish. This example monitors progress by using a Jupyter widget. You can also manage the job's progress by using:
* Azure Machine Learning Studio.
* Console output from the PipelineRun object.
from azureml.widgets import RunDetails
RunDetails(pipeline_run).show()
pipeline_run.wait_for_completion(show_output=True)
NEW QUESTION: 2
With regard to a high-level shading language (HLSL) effect file, which two shaders are required for a technique to function properly? (Choose two.)
A. Pixel
B. vertex
C. Geometry
D. Domain
E. Hull
Answer: A,C
Explanation:
http://msdn.microsoft.com/enus/library/windows/desktop/bb509635(v=vs.85).aspx
NEW QUESTION: 3
A. AWS CloudWatch
B. AWS Cost Explorer
C. AWS Consolidated Billing
D. AWS Cost Manager
Answer: B
Explanation:
The AWS Billing and Cost Management console includes the Cost Explorer tool for viewing AWS cost
data as a graph. It does not charge extra to user for this service. With Cost Explorer the user can filter
graphs using resource tags or with services in AWS. If the organization is using Consolidated Billing it
helps generate report based on linked accounts. This will help organization to identify areas that require
further inquiry. The organization can view trends and use that to understand spend and to predict future
costs.
Reference: http://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/costexplorer.html