Microsoft Azure Test 11

Free Azure Data Scientist Associate (DP-100) certification test. Practice them if you Want to make a tech career as a data scientist

Welcome to your Microsoft Azure Test-11

Name

Phone

Q1. 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 Quantiles normalization with a QuantileIndex normalization.
Does the solution meet the goal?

Select 1 option(s):

Yes

Q2. You plan to use a Deep Learning Virtual Machine (DLVM) to train deep learning models using Compute Unified Device Architecture (CUDA) computations.

You need to configure the DLVM to support CUDA.
What should you implement?

Select 1 option(s):

Computer Processing Unit (CPU) speed increase by using overclocking

Graphic Processing Unit (GPU)

Solid State Drives (SSD)

Q3. You are building a regression model for estimating the number of calls during an event.

You need to determine whether the feature values achieve the conditions to build a Poisson regression model.
Which two conditions must the feature set contain?

Select 2 option(s):

The label data must be a positive value.

The label data must be whole numbers.

The label data must be a negative value.

The label data must be non-discrete

Q4. You need to implement a feature engineering strategy for the crowd sentiment local models.

What should you do?

Select 1 option(s):

Apply an analysis of variance (ANOVA)

Apply a linear discriminant analysi

Apply a Pearson correlation coefficient.

Q5. “You need to replace the missing data in the AccessibilityToHighway columns.

How should you configure the Clean Missing Data module? To answer, select the appropriate options in the answer area.”

Select 1 option(s):

Box 1: Replace using MEAN Box 2: Propagate

Box 1: Replace using MICE Box 2: Propagate

Q6. You need to configure the Feature Based Feature Selection module based on the experiment requirements and datasets.

How should you configure the module properties? To answer, select the appropriate options in the dialog box in the answer area.

Select 1 option(s):

Box 1: CountsBox 2: MedianValue.

Box 1: Mutual InformationBox 2: MedianValue.

Box 1: Fisher ScoreBox 2: MedianValue.

Q7. You are creating a binary classification by using a two-class logistic regression model.

You need to evaluate the model results for imbalance.
Which evaluation metric should you use?

Select 1 option(s):

Root Mean Square Error

AUC Curve

Relative Absolute Error

Relative Squared Error

Q8. 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 an Equal Width with Custom Start and Stop binning mode.
Does the solution meet the goal?

Select 1 option(s):

Yes

Q9. You have written a script that uses the Scikit-Learn framework to train a model.

Which framework-specific estimator should you use to run the script as an experiment?

Select 1 option(s):

Tensorflow

PyTorch

SKLearn

Q10. You are the data engineer for your company. An application uses a NoSQL database to store data. The database uses the key-value and wide-column NoSQL database type.

Developers need to access data in the database using an API.
You need to determine which API to use for the database model and type.
Which two APIs should you use?

Select 2 option(s):

MongoDB API

Cassandra API

Gremlin API

Q11. You are creating a machine learning model. You have a dataset that contains null rows.

You need to use the Clean Missing Data module in Azure Machine Learning Studio to identify and resolve the null and missing data in the dataset.
Which parameter should you use?

Select 1 option(s):

Remove entire column

Replace with mode

Custom substitution value

Replace with mean

Remove entire row

Q12. You are using automated machine learning to train a model that predicts the species of an iris based on its petal and sepal measurements.

Which kind of task should you specify for automated machine learning?

Select 1 option(s):

Forecasting

Classification

Regression

Q13. You plan to deliver a hands-on workshop to several students. The workshop will focus on creating data visualizations using Python. Each student will use a device that has internet access.

Student devices are not configured for Python development. Students do not have administrator access to install software on their devices. Azure subscriptions are not available for students.
You need to ensure that students can run Python-based data visualization code.
Which Azure tool should you use?

Select 1 option(s):

Azure Notebooks

Azure Machine Learning Service

Anaconda Data Science Platform

Azure BatchAl

Q14. Which edition of Azure Machine Learning workspace should you provision if you only plan to use the graphical Designer tool to train machine learning models?

Select 1 option(s):

Basic

Enterprise

Q15. You’ve uploaded some data files to a folder in a blob container, and registered the blob container as a datastore in your Azure Machine Learning workspace.

You want to run a script as an experiment that loads the data files and trains a model.
What should you do?

Select 1 option(s):

Save the experiment script in the same blob folder as the data files.

Create a data reference for the datastore location and pass it to the script as a parameter.

Create global variables for the Azure Storage account name and key in the experiment script.

Q16. Which of the following descriptions accurately describes Azure Machine Learning?

Select 1 option(s):

A cloud-based platform for operating machine learning solutions at scale.

An application for Microsoft Windows that enables you to create machine learning models by using a drag and drop interface.

A Python library that you can use as an alternative to common machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow.

Q17. You’ve registered a dataset in your workspace.

You want to use the dataset in an experiment script that is run using an estimator.
What should you do?

Select 1 option(s):

Use the dataset to save the data as a CSV file in the experiment script folder before running the experiment.

Create a data reference for the datastore location where the dataset

Pass the dataset as a named input to the estimator.

Q18. You plan to build a team data science environment. Data for training models in machine learning pipelines will be over 20 GB in size.

You have the following requirements:
Models must be built using Caffe2 or Chainer frameworks.
Data scientists must be able to use a data science environment to build the machine learning pipelines and train models on their personal devices in both connected and disconnected network environments.
Personal devices must support updating machine learning pipelines when connected to a network.
You need to select a data science environment.

Select 1 option(s):

Azure Machine Learning Service

Azure Machine Learning Studio

Azure Kubernetes Service (AKS)

Q19. You’re creating a pipeline that includes two steps.

Step 1 preprocesses some data, and step 2 uses the preprocessed data to train a model.
What type of object should you use to pass data from step 1 to step 2 and create a dependency between these steps?

Select 1 option(s):

Datastore

PipelineData

Data Reference

Q20. You are solving a classification task.

You must evaluate your model on a limited data sample by using k-fold cross validation. You start by configuring a k parameter as the number of splits.
You need to configure the k parameter for the cross-validation.
Which value should you use?

Select 1 option(s):

0.5

k=0

Q21. You are developing deep learning models to analyze semi-structured, unstructured, and structured data types.

You have the following data available for model building:
Video recordings of sporting events
Transcripts of radio commentary about events
Logs from related social media feeds captured during sporting events
You need to select an environment for creating the model.
Which environment should you use?

Select 1 option(s):

Azure HDInsight with Spark MLib

Azure Cognitive Services

Azure Data Lake Analytics

Q22. You are developing a hands-on workshop to introduce Docker for Windows to attendees.

You need to ensure that workshop attendees can install Docker on their devices.
Which two prerequisite components should attendees install on the devices?

Select 2 option(s):

Kitematic

Microsoft Hardware-Assisted Virtualization Detection Tool

BIOS-enabled virtualization

Windows 10 64-bit Professional

Q23. You’re deploying a model as a real-time inferencing service.

What functions must the entry script for the service include?

Select 1 option(s):

main() and score()

base() and train()

init() and run()

Q24. You’ve published a pipeline that you want to run every week.

You plan to use the Schedule.create method to create the schedule.
What kind of object must you create first to configure how frequently the pipeline runs?

Select 1 option(s):

PipelineParameter

ScheduleRecurrance

Datastore

Q25. “You need to visually identify whether outliers exist in the Age column and quantify the outliers before the outliers are removed.

Which three Azure Machine Learning Studio modules should you use? Each correct answer presents part of the solution.”

Select 3 option(s):

Replace Discrete Values

Summarize Data

Create Scatterplot

Clip Values

Q26. You plan to build a team data science environment. Data for training models in machine learning pipelines will be over 20 GB in size.

You have the following requirements:
Models must be built using Caffe2 or Chainer frameworks.
Data scientists must be able to use a data science environment to build the machine learning pipelines and train models on their personal devices in bothconnected and disconnected network environments.
Personal devices must support updating machine learning pipelines when connected to a network.
You need to select a data science environment.
Which environment should you use?

Select 1 option(s):

Azure Databricks

Azure Machine Learning Service

Azure Machine Learning Studio

Q27. You are creating a new experiment in Azure Machine Learning Studio.

One class has a much smaller number of observations than the other classes in the training set.
You need to select an appropriate data sampling strategy to compensate for the class imbalance.
Solution: You use the Scale and Reduce sampling mode.
Does the solution meet the goal?

Select 1 option(s):

Yes

Q28. You are building a machine learning model for translating English language textual content into French language textual content.

You need to build and train the machine learning model to learn the sequence of the textual content.
Which type of neural network should you use?

Select 1 option(s):

Recurrent Neural Networks (RNNs)

Multilayer Perceptions (MLPs)

Convolutional Neural Networks (CNNs)

Q29. You are building a recurrent neural network to perform a binary classification.

The training loss, validation loss, training accuracy, and validation accuracy of each training epoch has been provided.
You need to identify whether the classification model is overfitted.
Which of the following is correct?

Select 1 option(s):

The training loss increases while the validation loss decreases when training the model.

The training loss decreases while the validation loss increases when training the model.

The training loss stays constant and the validation loss decreases when training the model.

Q30. You create a binary classification model by using Azure Machine Learning Studio.

You must tune hyperparameters by performing a parameter sweep of the model. The parameter sweep must meet the following requirements:
iterate all possible combinations of hyperparameters
minimize computing resources required to perform the sweep
You need to perform a parameter sweep of the model.
Which parameter sweep mode should you use?

Select 1 option(s):

Random grid

Random sweep

Sweep clustering

Microsoft Azure Test 11

Q1. You are a data scientist using Azure Machine Learning Studio.

Q2. You plan to use a Deep Learning Virtual Machine (DLVM) to train deep learning models using Compute Unified Device Architecture (CUDA) computations.

Q3. You are building a regression model for estimating the number of calls during an event.

Q4. You need to implement a feature engineering strategy for the crowd sentiment local models.

Q5. “You need to replace the missing data in the AccessibilityToHighway columns.

Q6. You need to configure the Feature Based Feature Selection module based on the experiment requirements and datasets.

Q7. You are creating a binary classification by using a two-class logistic regression model.

Q8. You are a data scientist using Azure Machine Learning Studio.

Q9. You have written a script that uses the Scikit-Learn framework to train a model.

Q10. You are the data engineer for your company. An application uses a NoSQL database to store data. The database uses the key-value and wide-column NoSQL database type.

Q11. You are creating a machine learning model. You have a dataset that contains null rows.

Q12. You are using automated machine learning to train a model that predicts the species of an iris based on its petal and sepal measurements.

Q13. You plan to deliver a hands-on workshop to several students. The workshop will focus on creating data visualizations using Python. Each student will use a device that has internet access.

Q14. Which edition of Azure Machine Learning workspace should you provision if you only plan to use the graphical Designer tool to train machine learning models?

Q15. You’ve uploaded some data files to a folder in a blob container, and registered the blob container as a datastore in your Azure Machine Learning workspace.

Q16. Which of the following descriptions accurately describes Azure Machine Learning?

Q17. You’ve registered a dataset in your workspace.

Q18. You plan to build a team data science environment. Data for training models in machine learning pipelines will be over 20 GB in size.

Q19. You’re creating a pipeline that includes two steps.

Q20. You are solving a classification task.

Q21. You are developing deep learning models to analyze semi-structured, unstructured, and structured data types.

Q22. You are developing a hands-on workshop to introduce Docker for Windows to attendees.

Q23. You’re deploying a model as a real-time inferencing service.

Q24. You’ve published a pipeline that you want to run every week.

Q25. “You need to visually identify whether outliers exist in the Age column and quantify the outliers before the outliers are removed.

Q26. You plan to build a team data science environment. Data for training models in machine learning pipelines will be over 20 GB in size.

Q27. You are creating a new experiment in Azure Machine Learning Studio.

Q28. You are building a machine learning model for translating English language textual content into French language textual content.

Q29. You are building a recurrent neural network to perform a binary classification.

Q30. You create a binary classification model by using Azure Machine Learning Studio.

Q31. You are using Azure Machine Learning Studio to perform feature engineering on a dataset.

Q32. You have submitted an automated machine learning run using the Python SDk for Azure Machine Learning.

Q33. You need to select a feature extraction method.

Q34. You are creating a new experiment in Azure Machine Learning Studio.

(510) 550 - 7200

39141 Civic Center Dr, Suite 201, Fremont, CA 94539, US

Software Development

Tech Upskilling

IT Staffing Solutions

Microsoft Azure Test 11

Q1. You are a data scientist using Azure Machine Learning Studio.

Q2. You plan to use a Deep Learning Virtual Machine (DLVM) to train deep learning models using Compute Unified Device Architecture (CUDA) computations.

Q3. You are building a regression model for estimating the number of calls during an event.

Q4. You need to implement a feature engineering strategy for the crowd sentiment local models.

Q5. “You need to replace the missing data in the AccessibilityToHighway columns.

Q6. You need to configure the Feature Based Feature Selection module based on the experiment requirements and datasets.

Q7. You are creating a binary classification by using a two-class logistic regression model.

Q8. You are a data scientist using Azure Machine Learning Studio.

Q9. You have written a script that uses the Scikit-Learn framework to train a model.

Q10. You are the data engineer for your company. An application uses a NoSQL database to store data. The database uses the key-value and wide-column NoSQL database type.

Q11. You are creating a machine learning model. You have a dataset that contains null rows.

Q12. You are using automated machine learning to train a model that predicts the species of an iris based on its petal and sepal measurements.

Q13. You plan to deliver a hands-on workshop to several students. The workshop will focus on creating data visualizations using Python. Each student will use a device that has internet access.

Q14. Which edition of Azure Machine Learning workspace should you provision if you only plan to use the graphical Designer tool to train machine learning models?

Q15. You’ve uploaded some data files to a folder in a blob container, and registered the blob container as a datastore in your Azure Machine Learning workspace.

Q16. Which of the following descriptions accurately describes Azure Machine Learning?

Q17. You’ve registered a dataset in your workspace.

Q18. You plan to build a team data science environment. Data for training models in machine learning pipelines will be over 20 GB in size.

Q19. You’re creating a pipeline that includes two steps.

Q20. You are solving a classification task.

Q21. You are developing deep learning models to analyze semi-structured, unstructured, and structured data types.

Q22. You are developing a hands-on workshop to introduce Docker for Windows to attendees.

Q23. You’re deploying a model as a real-time inferencing service.

Q24. You’ve published a pipeline that you want to run every week.

Q25. “You need to visually identify whether outliers exist in the Age column and quantify the outliers before the outliers are removed.

Q26. You plan to build a team data science environment. Data for training models in machine learning pipelines will be over 20 GB in size.

Q27. You are creating a new experiment in Azure Machine Learning Studio.

Q28. You are building a machine learning model for translating English language textual content into French language textual content.

Q29. You are building a recurrent neural network to perform a binary classification.

Q30. You create a binary classification model by using Azure Machine Learning Studio.

Q31. You are using Azure Machine Learning Studio to perform feature engineering on a dataset.

Q32. You have submitted an automated machine learning run using the Python SDk for Azure Machine Learning.

Q33. You need to select a feature extraction method.

Q34. You are creating a new experiment in Azure Machine Learning Studio.

Contact Us