Microsoft AZ900 Exam Dumps|QAs Page -7

Microsoft AZ900 Exam Dumps post contains real and latest questions for Microsoft Azure Fundamentals.

Microsoft AZ900 Exam Dumps

Microsoft AZ900 Exam Dumps – QAs 31-35

Q31. This question is included in a number of questions that depicts the identical set-up. However, every question has a distinctive result. Establish if the recommendation satisfies the requirements.
You are in the process of carrying out feature engineering on a dataset.
You want to add a feature to the dataset and fill the column value.
Recommendation: You must make use of the Join Data Azure Machine Learning Studio module.
Will the requirements be satisfied?

  1. Yes
  2. No
Correct Answer

2. No

Q32. You want to train a classification model using data located in a comma-separated values (CSV) file.
The classification model will be trained via the Automated Machine Learning interface using the Classification task type.
You have been informed that only linear models need to be assessed by the Automated Machine Learning.
Which of the following actions should you take?

  1. You should disable deep learning.
  2. You should enable automatic featurization.
  3. You should disable automatic featurization.
  4. You should set the task type to Forecasting.
Correct Answer

1. You should disable deep learning.

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-use-automated-ml-for-ml-models

Q33. You make use of Azure Machine Learning Studio to develop a linear regression model. You perform an experiment to assess various algorithms.
Which of the following is an algorithm that reduces the variances between actual and predicted values?

  1. Fast Forest Quantile Regression
  2. Poisson Regression
  3. Boosted Decision Tree Regression
  4. Linear Regression
Correct Answer

3. Boosted Decision Tree Regression

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/boosted-decision-tree-regression
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/evaluate-model
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/linear-regression

Q34. This question is included in a number of questions that depicts the identical set-up. However, every question has a distinctive result. Establish if the recommendation satisfies the requirements.
You have been tasked with constructing a machine learning model that translates language text into a different language text.
The machine learning model must be constructed and trained to learn the sequence of the.
Recommendation: You make use of Recurrent Neural Networks (RNNs).
Will the requirements be satisfied?

  1. Yes
  2. No
Correct Answer

1. Yes

Q35. DRAG DROP –
You build a binary classification model using the Azure Machine Learning Studio Two-Class Neural Network module.
You are preparing to configure the Tune Model Hyperparameters module for the purpose of tuning accuracy for the model.
Which of the following are valid parameters for the Two-Class Neural Network module? Answer by dragging the correct options from the list to the answer area.
Select and Place:

az900_question 35
Correct Answer
az900_answer 35

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/two-class-neural-network

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