Microsoft 70-774 Braindumps 2021

NEW QUESTION 1
You have a dataset that is missing values in a column named Column3. Column3 is correlated to two columns named Column4 and Column5.
You need to improve the accuracy of the dataset, while minimizing data loss. What should you do?

• A. Replace the missing values in Column3 by using probabilistic Principal Component Analysis (PCA).
• B. Remove all of the rows that have the missing values in Column4 and Column5.
• C. Replace the missing values in Column3 with a mean value.
• D. Remove the rows that have the missing values in Column3.

Answer: A

NEW QUESTION 2
You plan to use Azure Machine Learning to develop a predictive model. You plan to include an Execute Python Script module.
What capability does the module provide?

• A. Outputting a file to a network location.
• B. Performing interactive debugging of a Python script.
• C. Saving the results of a Python script run in a Machine Learning environment to a local file.
• D. Visualizing univariate and multivariate summaries by using Python code.

Answer: D

Explanation: References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio/execute-python-scripts

NEW QUESTION 3
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
Start of repeated scenario
You plan to use Azure platform tools to detect and analyze food items in smart refrigerators. To provide families with an integrated experience for grocery shopping and cooking, the refrigerators will connect to other smart appliances, such as stoves and microwave ovens, on a LAN.
You plan to build an object recognition model by using the Microsoft Cognitive Toolkit. The object recognition model will receive input from the connected devices and send results to applications.
The training data will be derived from more than 10 TB of images. You will convert the raw images to the sparse format.
End of repeated scenario.
You need to preprocess the training data by using a Principal Component Analysis (PCA) algorithm in the least amount of time possible. Which implementation method should you use?

• A. Azure HDInsight using HiveML
• B. Azure Machine Learning Studio and a custom Execute Python Script module
• C. Azure HDInsight using Microsoft R Server
• D. Azure Machine Learning Studio with a custom Execute R Script module

Answer: C

NEW QUESTION 4
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 have an Azure ML experiment that contains an intermediate dataset. You need to explore data from the intermediate dataset by using Jupyter.
Solution: You add a web service input to retrieve the data for the data source, and then add the Execute R Script module.
Does this meet the goal?

• A. Yes
• B. No

Answer: B

NEW QUESTION 5
You are building an Azure Machine Learning experiment.
You need to transform a string column that has 47 distinct values into a binary indicator column. The solution must use the One-vs-All Multiclass model.
Which module should you use?

• A. Select Column Transform
• B. Convert to Indicator Values
• C. Group Categorical Values
• D. Edit Metadata

Answer: B

NEW QUESTION 6
You plan to use the Data Science Virtual Machine for development, but you are unfamiliar with R scripts. You need to generate R code for an experiment.
Which IDE should you use?

• A. XgBoost
• B. Rattle
• C. Vowpal Wabbit
• D. R Tools for Visual Studio

Answer: C

Explanation: References:
https://docs.microsoft.com/en-us/azure/machine-learning/data-science-virtual-machine/provision-vm

NEW QUESTION 7
You have an Azure Machine Learning environment. You are evaluating whether to use R code or Python.
Which three actions can you perform by using both R code and Python in the Machine Learning environment? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

• A. Preprocess, cleanse, and group data.
• B. Score a training model.
• C. Create visualizations.
• D. Create an untrained model that can be used with the Train Model module.
• E. Implement feature ranking.

Answer: ABC

NEW QUESTION 8
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

Answer: C

NEW QUESTION 9
You need to identify which columns are more predictive by using a statistical method. Which module should you use?

• A. Filter Based Feature Selection
• B. Principal Component Analysis
• C. Group Data into Bins
• D. Tune Model Hyperparameters

Answer: B

NEW QUESTION 10
Note: This question is part of a series of questions that use the same or similar answer choices. An
answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.
You need to change a column name to a friendly name. The solution must use a native module. Which module should you use?

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

Answer: D

NEW QUESTION 11
You have an Azure Machine Learning experiment.
You discover that a model causes many errors in a production dataset. The model causes only few errors in the training data.
What is the cause of the errors?

• A. overfitting
• B. generalization
• C. underfitting
• D. a simple predictor

Answer: A

NEW QUESTION 12
From the Cortana Intelligence Gallery, you deploy a solution. You need to modify the solution.
What should you use?

• A. Azure Stream Analytics
• B. Microsoft Power BI Desktop
• C. Azure Machine Learning Studio
• D. R Tools for Visual Studio

Answer: C

Explanation: References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio/gallery-experiments

NEW QUESTION 13
You have data about the following:
You need to predict whether a user will like a particular movie. Which Matchbox recommender should you use?

• A. Item Recommendation
• B. Related Items
• C. Rating Prediction
• D. Related Users

Answer: C

Explanation: References:
https://msdn.microsoft.com/en-us/library/azure/dn905970.aspx#RatingPredictionOptions

NEW QUESTION 14
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 have an Azure ML experiment that contains an intermediate dataset. You need to explore data from the intermediate dataset by using Jupyter.
Solution: In Azure Mt Studio, you use the Save as dataset option, and then open the output in a new notebook. Does this meet the goal?

• A. Yes
• B. No

Answer: A

NEW QUESTION 15
You deploy Microsoft Data Management Gateway.
You plan to use the Import Data module in Azure Machine Learning Studio to import data from an on-premises Microsoft SQL Server instance.
Which operation can you perform?

• A. Write the data back to the on-premises SQL Server instance.
• B. Filter the data as the data is being read by using the Import Data module.
• C. Run a Transact-SQL query and use SQL views to filter the data as the data is being read.
• D. Access the on-premises SQL Server instance without using credentials, and then import the data.

Answer: D

NEW QUESTION 16
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
You plan to create a predictive analytics solution for credit risk assessment and fraud prediction in Azure Machine Learning. The Machine Learning workspace for the solution will be shared with other users in your organization. You will add assets to projects and conduct experiments in the workspace.
The experiments will be used for training models that will be published to provide scoring from web services. The experiment for fraud prediction will use Machine Learning modules and APIs to train the models and will predict probabilities in an Apache Hadoop ecosystem.
You finish training the model and are ready to publish a predictive web service that will provide the users with the ability to specify the data source and the save location of the results. The model includes a Split Data module.
Which two actions should you perform to convert the Machine Learning experiment to a predictive web service? To answer, drag the appropriate actions to the correct targets. Each action may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:

Explanation: References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio/convert-training-experiment-to-scoring-experim

NEW QUESTION 17
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
Start of repeated scenario
You plan to use Azure platform tools to detect and analyze food items in smart refrigerators. To provide families with an integrated experience for grocery shopping and cooking, the refrigerators will connect to other smart appliances, such as stoves and microwave ovens, on a LAN.
You plan to build an object recognition model by using the Microsoft Cognitive Toolkit. The object recognition model will receive input from the connected devices and send results to applications.
The training data will be derived from more than 10 TB of images. You will convert the raw images to the sparse format.
End of repeated scenario.
The image files to train the object recognition model are stored in a Microsoft SQL Server 2021 Standard edition database on an Azure virtual machine (VM).
You need to support R packages that can use full parallel threading and processing for RevoScaleR.
How should you implement R? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

Answer:

Explanation: