Does the solution meet the goal?

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.

After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

You create a model to forecast weather conditions based on historical data.

You need to create a pipeline that runs a processing script to load data from a datastore and pass the processed data to a machine learning model training script.

Solution: Run the following code:

Does the solution meet the goal?
A . Yes
B . No

Answer: B

Explanation:

Note: Data used in pipeline can be produced by one step and consumed in another step by providing a PipelineData object as an output of one step and an input of one or more subsequent steps.

Compare with this example, the pipeline train step depends on the process_step_output output of the pipeline process step:

from azureml.pipeline.core import Pipeline, PipelineData

from azureml.pipeline.steps

import PythonScriptStep

datastore =

ws.get_default_datastore()

process_step_output = PipelineData("processed_data",

datastore=datastore)

process_step =

PythonScriptStep(script_name="process.py",

arguments=["–data_for_train", process_step_output],

outputs=[process_step_output],

compute_target=aml_compute,

source_directory=process_directory)

train_step =

PythonScriptStep(script_name="train.py",

arguments=["–data_for_train", process_step_output],

inputs=[process_step_output],

compute_target=aml_compute,

source_directory=train_directory)

pipeline = Pipeline (workspace=ws,

steps=[process_step, train_step])

Reference: https://docs.microsoft.com/en-us/python/api/azureml-pipeline-core/azureml.pipeline.core.pipelinedata?view=azure-ml-py

Latest DP-100 Dumps Valid Version with 227 Q&As

Latest And Valid Q&A | Instant Download | Once Fail, Full Refund

Subscribe
Notify of
guest
0 Comments
Inline Feedbacks
View all comments