70-774

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

View Answer

Answer: B

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 save the output of the Score Model modules as a combined set, and then use the Project Columns modules to select the MAE.

Does this meet the goal?
A . YES
B . NO

View Answer

Answer: A

You are performing exploratory analysis of files that are encoded in a complex proprietary format. The format requires disk intensive access to several dependent files in HDFS.

You need to build an Azure Machine Learning model by using a canopy clustering algorithm. You must ensure that changes to proprietary file formats can be maintained by using the least amount of effort.

Which Machine Learning library should you use?
A . MicrosoftML
B . scikit-learn
C . SparkR
D . Mahout

View Answer

Answer: C

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 have a dataset that contains a column named Column1. Column1 is empty.

You need to omit Column1 from the dataset. The solution must use a native module. Which module should you use?
A . Clip Values
B . Edit Metadata
C . Import Data
D . Normalize Data
E . Execute Python Script
F . Select columns in dataset
G . Tune Model Hyperparamters
H . Clean Missing data

View Answer

Answer: F

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

View Answer

Answer: A

DRAG DROP

You have an Execute R Script module that has one input from either a Partition and Sample module or a Web Service input module.

You need to preprocess tweets by using R. The Solution must meet the following requirements:

* Remove digit

* Remove punctuation

* Convert to lowercase

How should you complete the R code? To answer drag the appropriate value to correct Target.

View Answer

Answer:

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 have a non-tabular file that is saved in Azure Blob Storage.

You need to download the file locally, access the data in the file, and then format the data as a dataset.

Which module should you use?
A . Execute Python Script
B . Tune Model Hyperparameters
C . Normalize Data
D . Select Columns in Dataset
E . Import Data
F . Edit Metadata
G . Clip Values
H . Clean Missing Data

View Answer

Answer: E

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 endpoint to the computer Vision APL

Does this meet the goal?
A . YES
B . NO

View Answer

Answer: B

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

View Answer

Answer: B

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 save the output of the Score Model modules as a combined set, and then use the Project Columns modules to select the MAE.

Does this meet the goal?
A . YES
B . NO

View Answer

Answer: A