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Microsoft Designing and Implementing a Data Science Solution on Azure Sample Questions (Q164-Q169):

NEW QUESTION # 164
You need to define an evaluation strategy for the crowd sentiment models.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:

Explanation:

1 - Define a cross-entropy function activation
2 - Add cost functions for each target state.
3 - Evaluated the distance error metric.
Reference:
https://www.analyticsvidhya.com/blog/2018/04/fundamentals-deep-learning-regularization-techniques/

NEW QUESTION # 165
You manage an Azure Machine Learning workspace. You plan to import data from Azure Data Lake Storage Gen2. You need to build a URI that represents the storage location. Which protocol should you use?

A. https
B. adl
C. wasbs
D. abfss

Answer: D

NEW QUESTION # 166
You create a pipeline in designer to train a model that predicts automobile prices.
Because of non-linear relationships in the data, the pipeline calculates the natural log (Ln) of the prices in the training data, trains a model to predict this natural log of price value, and then calculates the exponential of the scored label to get the predicted price.
The training pipeline is shown in the exhibit. (Click the
Training pipeline

You create a real-time inference pipeline from the training pipeline, as shown in the exhibit. (Click the Real-time pipeline tab.) Real-time pipeline

You need to modify the inference pipeline to ensure that the web service returns the exponential of the scored label as the predicted automobile price and that client applications are not required to include a price value in the input values.
Which three modifications must you make to the inference pipeline? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. Remove the Apply Math Operation module that replaces price with its natural log from the data flow.
B. Add a Select Columns module before the Score Model module to select all columns other than price.
C. Replace the Web Service Input module with a data input that does not include the price column.
D. Replace the training dataset module with a data input that does not include the price column.
E. Connect the output of the Apply SQL Transformation to the Web Service Output module.
F. Remove the Apply SQL Transformation module from the data flow.

Answer: A,B,E

NEW QUESTION # 167
You are using an Azure Machine Learning workspace. You set up an environment for model testing and an environment for production.
The compute target for testing must minimize cost and deployment efforts. The compute target for production must provide fast response time, autoscaling of the deployed service, and support real-time inferencing.
You need to configure compute targets for model testing and production.
Which compute targets should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/concept-compute-target

NEW QUESTION # 168
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 are a data scientist using Azure Machine Learning Studio.
You need to normalize values to produce an output column into bins to predict a target column.
Solution: Apply a Equal Width with Custom Start and Stop binning mode.
Does the solution meet the goal?

A. No
B. Yes

Answer: A

NEW QUESTION # 169
......

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