Pinpoint 70-774 Dumps Questions 2021

NEW QUESTION 1
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.
A travel agency named Margie’s Travel sells airline tickets to customers in the United States.
Margie’s Travel wants you to provide insights and predictions on flight delays. The agency is considering implementing a system that will communicate to its customers as the flight departure nears about possible delays due to weather conditions. The flight data contains the following attributes:
The weather data contains the following attributes: AirportID, ReadingDate (YYYY/MM/DD HH), SkyConditionVisibility, WeatherType, WindSpeed, StationPressure, PressureChange, and HourlyPrecip.
You have an untrained Azure Machine Learning model that you plan to train to predict flight delays.
You need to assess the variability of the dataset and the reliability of the predictions from the model. Which module should you use?

• A. Cross-Validate Model
• B. Evaluate Model
• C. Tune Model Hyperparameters
• D. Train Model
• E. Score Model

Answer: A

Explanation: References:
https://msdn.microsoft.com/en-us/library/azure/dn905852.aspx

NEW QUESTION 2
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 3
You are analyzing taxi trips in New York City. You leverage the Azure Data Factory to create data pipelines and to orchestrate data movement.
You plan to develop a predictive model for 170 million rows (37 GB) of raw data in Apache Hive by using Microsoft R Server to identify which factors contribute to the passenger tipping behavior.
All of the platforms that are used for the analysis are the same. Each worker node has eight processor cores and 26 GB of memory.
Which type of Azure HDInsight cluster should you use to produce results as quickly as possible?

• A. Hadoop
• B. HBase
• C. Interactive Hive
• D. Spark

Answer: D

Explanation: References:
https://azure.microsoft.com/en-gb/blog/general-availability-of-hdinsight-interactive-query-blazing-fast-data-war

NEW QUESTION 4
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. importing Python modules from a ZIP file for execution in a Machine Learning experiment
• 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. returning multiple data frames

Answer: A

NEW QUESTION 5
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 deploy a multiple-service solution that was developed already and published by other users in the Microsoft development community.
What should you use?

• A. the edX Data Science Learning Dashboard
• B. the Data Science Virtual Machine
• C. an Azure Machine Learning experiment
• D. Cortana Intelligence Gallery

Answer: C

NEW QUESTION 6
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 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.
End of repeated scenario.
The users will use different data sources that follow a standard format. The users will receive results in a standard format by using the fraud prediction web service. The results will be saved to a location specified by the users.
You need to provide the users with the ability to get results for different risk tolerances without affecting the calculation of the model. Which three modules should be configured to use the Web Service Parameters? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

• A. Evaluate Model
• B. Import Data
• C. Select Columns in Dataset
• D. Export Data
• E. Time Series Anomaly Detection

Answer: ABD

NEW QUESTION 7
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 transform the columns in a dataset. The resulting data must be mean centered and have a variance of L The solution must use a native module.
Which module should you use?

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

Answer: H

NEW QUESTION 8
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 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. 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

Answer: D

Explanation: References:
https://msdn.microsoft.com/en-us/library/azure/dn905883.aspx

NEW QUESTION 9
You need to integrate code and formatted text into an Azure Machine Learning experiment that enables interactive execution.
What should you use?

• A. a Jupyter notebook
• B. Azure Stream Analytics
• C. an Execute Python Script module
• D. an Execute R Script module

Answer: A

NEW QUESTION 10
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 11
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 12
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 have a dataset that contains a column named Column1. Some of the values in Column1 are empty. You need to replace the empty values by using probabilistic Principal Component Analysis (PCA). The
solution must use a native module.
Which module should you use?

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

Answer: B

NEW QUESTION 13
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 14
You plan to use the Import Data module to import data from a web URL by using HTTP. Which file format can you use as the source of the import operation?

• A. Optimized Row Columnar (ORQ
• B. Extensible Markup Language (XML)
• C. comma-separated value (CSV)
• D. JavaScript Object Notation (JSON)

Answer: D

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 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 sections, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
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 module to select the MAE.
Does this meet the goal?

• A. Yes
• B. No

Answer: A

Explanation: https://msdn.microsoft.com/en-us/library/azure/dn905915.aspx