Microsoft 70-774 Exam Preparation Questions For Best Result – Updated 2017

Microsoft Certified Solutions Expert certification as a profession has an incredible evolution over the last few years. Microsoft 70-774 Perform Cloud Data Science with Azure Machine Learning exam is the forerunner in validating credentials against. Here are updated Microsoft 70-774 exam questions, which will help you to test the quality features of DumpsSchool exam preparation material completely free. You can purchase the full product once you are satisfied with the product.

Updated Version:
Question: 1

Note: This question is part of a series of questions that present the same Scenario. Each question I 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 the correct solution.
You are designing an Azure Machine Learning workflow.
You have a dataset that contains two million large digital photographs.
You plan to detect the presence of trees in the photographs.
You need to ensure that your model supports the following:
Hidden Layers that support a directed graph structure.
User-defined core components on the GPU
Solution: You create an endpoint to the computer Vision APL
Does this meet the goal?

A. YES
B. NO

Answer: B

Question: 2

Note: This question is part of a series of questions that present the same Scenario. Each question I 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 correct solution.
You are designing an Azure Machine Learning workflow.
You have a dataset that contains two million large digital photographs.
You plan to detect the presence of trees in the photographs.
You need to ensure that your model supports the following:
Hidden Layers that support a directed graph structure.
User-defined core components on the GPU
Solution: You create an Azure notebook that supports the Microsoft Cognitive Toolkit.
Does this meet the goal?

A. YES
B. NO

Answer: B

Question: 3

Note: This question is part of a series of questions that present the same Scenario. Each question I 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 correct solution.
You are designing an Azure Machine Learning workflow.
You have a dataset that contains two million large digital photographs.
You plan to detect the presence of trees in the photographs.
You need to ensure that your model supports the following:
Hidden Layers that support a directed graph structure.
User-defined core components on the GPU
Solution: You create a Machine Learning Experiment that implements the Multiclass Neural Network Module.
Does this meet the goal?

A. YES
B. NO

Answer: A

Question: 4

Note: This question is part of a series of questions that present the same Scenario. Each question I 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 correct solution.
You are designing an Azure Machine Learning workflow.
You have a dataset that contains two million large digital photographs.
You plan to detect the presence of trees in the photographs.
You need to ensure that your model supports the following:
Hidden Layers that support a directed graph structure.
User-defined core components on the GPU
Solution: You create a Machine Learning Experiment that implements the Multiclass Decision Jungle Module.
Does this meet the goal?

A. YES
B. NO

Answer: B

Question: 5

Note: This question is part of a series of questions that present the same Scenario. Each question I 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 correct solution.
You are working on an Azure Machine Learning Experiment.
You have the dataset configured as shown in the following table:

You need to ensure that you can compare the performance of the models and add annotations to the results.
Solution: You consolidate the output of the Score Model modules by using the Add Rows module, and then use the Execute R Script module.
Does this meet the goal?

A. YES
B. NO

Answer: B

Question: 6

Note: This question is part of a series of questions that present the same Scenario. Each question I 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 correct solution.
You are working on an Azure Machine Learning Experiment.
You have the dataset configured as shown in the following table:

You need to ensure that you can compare the performance of the models and add annotations to the results.
Solution: You connect the Score Model modules from each trained model as inputs for the Evaluate Model module, and then save the result as a dataset.
Does this meet the goal?

A. YES
B. NO

Answer: A

Question: 7

Note: This question is part of a series of questions that present the same Scenario. Each question I 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 the correct solution.
You are working on an Azure Machine Learning Experiment.
You have the data set configured as shown in the following table:

You need to ensure that you can compare the performance of the models and add annotations to the results.
Solution: You connect the Score Model modules from each trained model as inputs for the Evaluate Model module, and then use the Execute R Script Module.
Does this meet the goal?

A. YES
B. NO

Answer: A

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