Which two components can you drag onto a canvas in Azure Machine Learning designer? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.
A (Correct): You can drag datasets onto the canvas in the Azure Machine Learning designer to use as inputs for your machine learning workflows.
D (Correct): Modules are functional components (e.g., data transformations, model training) that can be dragged onto the canvas to create a machine learning workflow.
why everyone answer AD like sheeps?
should be A,C.
Dataset is the essential fist thing to include in a classification ML model and the pipeline is way to elaborate new features and allow deploy the results.
there is not module or compute in ML designer.
https://learn.microsoft.com/en-us/training/modules/create-regression-model-azure-machine-learning-designer/5-regression-steps
A "module" refers to an individual operation or step that you can add to your machine learning workflow. These modules represent specific tasks or operations, such as data preprocessing, feature engineering, model training, model scoring, and evaluation.
The audacity to call other people sheepS (tip: sheep is both singular and plural) and having the answer wrong...
https://azure.microsoft.com/en-au/products/machine-learning/designer/
https://azure.microsoft.com/en-au/products/machine-learning/designer
This section is not available anymore. Please use the main Exam Page.AI-900 Exam Questions
Log in to ExamTopics
Sign in:
Community vote distribution
A (35%)
C (25%)
B (20%)
Other
Most Voted
A voting comment increases the vote count for the chosen answer by one.
Upvoting a comment with a selected answer will also increase the vote count towards that answer by one.
So if you see a comment that you already agree with, you can upvote it instead of posting a new comment.
ExamTopics007
Highly Voted 3 years, 11 months agodennis
Highly Voted 3 years, 8 months agosaema
Most Recent 3 months, 1 week agoDuke03
3 months, 3 weeks agoosagiestar
5 months, 2 weeks agoosagiestar
5 months, 2 weeks agoServiceNow688
8 months agoVanessa23
11 months, 3 weeks agofabras
1 year, 1 month agomfreak
1 year, 1 month agoMehe323
9 months, 3 weeks agoSylph
1 year, 2 months agordemontis
1 year, 4 months agoalexein74
1 year, 5 months agoEdilmaM
2 years, 2 months agoydu7312
2 years, 5 months agoheenak55
2 years, 6 months agobaciga
2 years, 6 months agoPravda
2 years, 7 months ago