Microsoft Azure Test 10

Try a free practice test for the Microsoft Azure Data Scientist Associate exam to evaluate your readiness for a tech career and identify knowledge gaps quickly. Test 10

Welcome to your Microsoft Azure Test-10

Name

Phone

Q1. 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?

Select 1 option(s):

Boosted Decision Tree Regression

Linear Regression

Poisson Regression

Fast Forest Quantile Regression

Q2. You have been tasked with constructing an intelligent solution with machine learning models. You have to make sure that the environment allows for data scientists to build notebooks in a cloud environment, and enforce the use of automatic feature engineering and model building in machine learning pipelines. The environment should also allow for notebooks to be deployed to retrain via Spark instances with dynamic worker allocation. Furthermore, notebooks have to be exportable for local version control purposes. You have created an Azure HDInsight cluster that includes the Apache Spark Mlib library. Which of the following is the action you must take NEXT?

Select 1 option(s):

Create and execute the Zeppelin notebooks on the cluster.

Install Microsoft Machine Learning for Apache Spark.

Install the Microsoft Machine Learning SDK for Python on the cluster.

Create and execute a Jupyter notebook on the cluster.

Q3. You need to implement a Data Science Virtual Machine (DSVM) that supports the Caffe2 deep learning framework. Which of the following DSVMs should you create?

Select 1 option(s):

Ubuntu 16.04 DSVM

Windows Server 2016 DSVM

CentOS 7.4 DSVM

Windows Server 2012 DSVM

Q4. 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 evaluating your model on a partial data sample via k-fold cross-validation. You have already configured a k parameter as the number of splits. You now have to configure the k parameter for the cross-validation with the usual value choice. Recommendation: You configure the use of the value k=1. Will the requirements be satisfied?

Select 1 option(s):

Yes

Q5. You are making use of a two-class logistic regression model to create a binary classification. You want to evaluate the results of the model for disproportion. You need to configure the use of a suitable evaluation metric Which of the following is the metric you should choose?

Select 1 option(s):

Precision

Root Mean Square Error

Area Under the Curve (AUC) Curve

Recall

Q6. You create a real-time service endpoint using Azure Machine Learning designer. After training the model and preparing the real-time pipeline for deployment into a designated Azure Machine Learning compute resource, you are required to publish the inference pipeline as a web service. You need to make use of the correct compute target to achieve your goal. Which of the following is the compute target you should use?

Select 1 option(s):

Azure Container Instances

Azure Kubernetes Service (AKS)

Local web service

Azure Machine Learning compute clusters

Q7. 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?

Select 1 option(s):

Yes

Q8. 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 employing a machine learning model, which makes use of a PostgreSQL database and needs GPU processing, to forecast prices. You are preparing to create a virtual machine that has the necessary tools built into it. You need to make use of the correct virtual machine type. Recommendation: You make use of a Geo Al Data Science Virtual Machine (Geo-DSVM) Windows edition. Will the requirements be satisfied?

Select 1 option(s):

Yes

Q9. You have configured a Deep Learning Virtual Machine for Windows. You need to use tools and frameworks to build deep neural network (DNN) models. Which tools and frameworks should you use?

Select 1 option(s):

LightGBM

Caffe2

Azure Data Factory (ADF)

The Microsoft Cognitive Toolkit (CNTK)

Q10. You are making use of Azure Machine Learning Studio to analyze a dataset. You want to produce a statistical summary that includes the following: The p-value. The unique count for all feature columns. Which of the following actions should you take?

Select 1 option(s):

Execute Python Script

Evaluate Probability Function

Build Counting Transform

Export Count Table

Q11. You are in the process of constructing a multi-class classifier via Azure Machine Learning Studio. You are currently executing a filter-based feature selection for a dataset. You have to make use of a metric that calculates the statistical bond between two continuous variables. Which of the following is the metric described above?

Select 1 option(s):

Count Based

Mutual Information

Linear discriminant analysis

Pearson correlation

Q12. 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 planning to make use of Azure Machine Learning designer to train models. You need choose a suitable compute type. Recommendation: You choose Inference cluster. Will the requirements be satisfied?

Select 1 option(s):

Yes

Q13. 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 evaluating your model on a partial data sample via k-fold cross-validation. You have already configured a k parameter as the number of splits. You now have to configure the k parameter for the cross-validation with the usual value choice. Recommendation: You configure the use of the value k=3. Will the requirements be satisfied?

Select 1 option(s):

Yes

Q14. 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 planning to make use of Azure Machine Learning designer to train models. You need choose a suitable compute type. Recommendation: You choose Attached compute. Will the requirements be satisfied?

Select 1 option(s):

Yes

Q15. You have been tasked with designing a deep learning model, which accommodates the most recent edition of Python, to recognize language. You have to include a suitable deep learning framework in the Data Science Virtual Machine (DSVM). Which of the following actions should you take?

Select 1 option(s):

You should consider including Rattle.

You should consider including Theano.

You should consider including Chainer.

You should consider including TensorFlow.

Q16. 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 Group Categorical Values Azure Machine Learning Studio module. Will the requirements be satisfied?

Select 1 option(s):

Yes

Q16. 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 employing a machine learning model, which makes use of a PostgreSQL database and needs GPU processing, to forecast prices. You are preparing to create a virtual machine that has the necessary tools built into it. You need to make use of the correct virtual machine type. Recommendation: You make use of a Data Science Virtual Machine (DSVM) Windows edition. Will the requirements be satisfied?

Select 1 option(s):

Yes

Q18. 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 Edit Metadata Azure Machine Learning Studio module. Will the requirements be satisfied?

Select 1 option(s):

Yes

Q19. You are in the process of constructing a deep convolutional neural network (CNN). The CNN will be used for image classification. You notice that the CNN model you constructed displays hints of overfitting. You want to make sure that overfitting is minimized, and that the model is converged to an optimal fit. Which of the following is TRUE with regards to achieving your goal?

Select 1 option(s):

You have to add an additional dense layer with 512 input units, and add L1/L2 regularization.

You have to add an additional dense layer with 512 input units, and reduce the amount of training data.

You have to add L1/L2 regularization, and reduce the amount of training data.

You have to reduce the amount of training data and make use of training data augmentation.

You have to add L1/L2 regularization, and make use of training data augmentation.

Q20. 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 Convolutional Neural Networks (CNNs). Will the requirements be satisfied?

Select 1 option(s):

Yes

Q21. 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 employing a machine learning model, which makes use of a PostgreSQL database and needs GPU processing, to forecast prices. You are preparing to create a virtual machine that has the necessary tools built into it. You need to make use of the correct virtual machine type. Recommendation: You make use of a Deep Learning Virtual Machine (DLVM) Windows edition. Will the requirements be satisfied?

Select 1 option(s):

Yes

Q22. 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 evaluating your model on a partial data sample via k-fold cross-validation. You have already configured a k parameter as the number of splits. You now have to configure the k parameter for the cross-validation with the usual value choice. Recommendation: You configure the use of the value k=10. Will the requirements be satisfied?

Select 1 option(s):

Yes

Q23. You have recently concluded the construction of a binary classification machine learning model. You are currently assessing the model. You want to make use of a visualization that allows for precision to be used as the measurement for the assessment. Which of the following actions should you take?

Select 1 option(s):

You should consider using Receiver Operating Characteristic (ROC) curve visualization.

You should consider using Venn diagram visualization.

You should consider using the Binary classification confusion matrix visualization.

You should consider using Box plot visualization.

Q24. You have been tasked with creating a new Azure pipeline via the Machine Learning designer. You have to makes sure that the pipeline trains a model using data in a comma-separated values (CSV) file that is published on a website. A dataset for the file for this file does not exist. Data from the CSV file must be ingested into the designer pipeline with the least amount of administrative effort as possible. Which of the following actions should you take?

Select 1 option(s):

You should add the Import Data object to the pipeline.

You should make use of the Convert to TXT module.

You should add the Copy Data object to the pipeline.

You should add the Dataset object to the pipeline.

Q25. You construct a machine learning experiment via Azure Machine Learning Studio. You would like to split data into two separate datasets. Which of the following actions should you take?

Select 1 option(s):

You should make use of the Split Data module.

You should make use of the Group Categorical Values module.

You should make use of the Group Data into Bins module.

You should make use of the Clip Values module.

Q26. You make use of Azure Machine Learning Studio to create a binary classification model. You are preparing to carry out a parameter sweep of the model to tune hyperparameters. You have to make sure that the sweep allows for every possible combination of hyperparameters to be iterated. Also, the computing resources needed to carry out the sweep must be reduced. Which of the following actions should you take?

Select 1 option(s):

You should consider making use of the Entire grid sweep mode

You should consider making use of the Measured grid sweep mode

You should consider making use of the Selective grid sweep mode

You should consider making use of the Random grid sweep mode.

Q27. 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 creating a machine learning model. Your dataset includes rows with null and missing values. You plan to make use of the Clean Missing Data module in Azure Machine Learning Studio to detect and fix sort out the null and missing values in the dataset. Recommendation: You make use of the Custom substitution value option. Will the requirements be satisfied?

Select 1 option(s):

Yes

Q28. 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 creating a machine learning model. Your dataset includes rows with null and missing values. You plan to make use of the Clean Missing Data module in Azure Machine Learning Studio to detect and fix sort out the null and missing values in the dataset. Recommendation: You make use of the Remove entire row option. Will the requirements be satisfied?

Select 1 option(s):

Yes

Q29. 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?

Select 1 option(s):

Yes

Q30. You have been tasked with ascertaining if two sets of data differ considerably. You will make use of Azure Machine Learning Studio to complete your task. You plan to perform a paired t-test. Which of the following are conditions that must apply to use a paired t-test? (Choose all that apply.)

Select 2 option(s):

The sampling distribution of d is normal

All scores are independent from each other.

You have a matched pairs of scores

The sampling distribution of x1- x2 is normal.

Q31. You are preparing to train a regression model via automated machine learning. The data available to you has features with missing values, as well as categorical features with little discrete values. You want to make sure that automated machine learning is configured as follows: missing values must be automatically imputed. categorical features must be encoded as part of the training task. Which of the following actions should you take?

Select 1 option(s):

You should make use of the featurization parameter with the 'on' value pair.

You should make use of the featurization parameter with the 'FeaturizationConfig' value pair.

You should make use of the featurization parameter with the 'off' value pair.

You should make use of the featurization parameter with the 'auto' value pair.

Q32. 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 Generative Adversarial Networks (GANs). Will the requirements be satisfied?

Select 1 option(s):

Yes

Q33. 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?

Select 1 option(s):

You should set the task type to Forecasting.

You should enable automatic featurization.

You should disable deep learning.

You should disable automatic featurization.

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 are planning to make use of Azure Machine Learning designer to train models. You need choose a suitable compute type. Recommendation: You choose Compute cluster. Will the requirements be satisfied?

Select 1 option(s):

Yes

Q35. You are planning to host practical training to acquaint learners with data visualization creation using Python. Learner devices are able to connect to the internet. Learner devices are currently NOT configured for Python development. Also, learners are unable to install software on their devices as they lack administrator permissions. Furthermore, they are unable to access Azure subscriptions. It is imperative that learners are able to execute Python-based data visualization code. Which of the following actions should you take?

Select 1 option(s):

You should consider configuring the use of Azure Notebooks.

You should consider configuring the use of Azure Kubernetes Service.

You should consider configuring the use of Azure BatchAI.

You should consider configuring the use of Azure Container Instance.

Q36. You are making use of the Azure Machine Learning to designer construct an experiment. After dividing a dataset into training and testing sets, you configure the algorithm to be Two-Class Boosted Decision Tree. You are preparing to ascertain the Area Under the Curve (AUC). Which of the following is a sequential combination of the models required to achieve your goal?

Select 1 option(s):

Train, Score, Export Data.

Score, Evaluate, Train.

Train, Score, Evaluate.

Evaluate, Export Data, Train.

Q37. 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 creating a machine learning model. Your dataset includes rows with null and missing values. You plan to make use of the Clean Missing Data module in Azure Machine Learning Studio to detect and fix sort out the null and missing values in the dataset. Recommendation: You make use of the Replace with median option. Will the requirements be satisfied?

Select 1 option(s):

Yes

Q38. After creating a multi-class image classification deep learning model, you are required to make sure that the model is retrained once-a-month with the new image data retrieved from a public web portal. You have created an Azure Machine Learning pipeline to retrieve new data, normalize the size of images, as well as retrain the model. to configure the schedule for the pipeline, you must make use of the Azure Machine Learning SDK. Which of the following actions should you take FIRST?

Select 1 option(s):

Publish the pipeline.

Create a ScheduleRecurrence.

Define an Azure Machine Learning pipeline schedule.

Retrieve the pipeline ID.

Q39. You are implementing a machine learning model to predict stock prices.

The model uses a PostgreSQL database and requires GPU processing.
You need to create a virtual machine that is pre-configured with the required tools.
What should you do?

Select 1 option(s):

Create a Deep Learning Virtual Machine (DLVM) Linux edition.

Create a Geo Al Data Science Virtual Machine (Geo-DSVM) Windows edition.

Create a Data Science Virtual Machine (DSVM) Windows edition.

Create a Deep Learning Virtual Machine (DLVM) Windows edition.

Create a Data Science Virtual Machine (DSVM) Linux edition.

Q40. “You need to produce a visualization for the diagnostic test evaluation according to the data visualization requirements.

Which three modules should you recommend be used in sequence? To answer, move the appropriate modules from the list of modules to the answer area and arrange them in the correct order.Select and Place:”

Select 1 option(s):

Step 1:Train Model Step 2:Sweep ClusteringStep 3: Evaluate Model

Step 1: Sweep ClusteringStep 2: Train Model Step 3: Evaluate Model

Q41. You are a data scientist creating a linear regression model.

You need to determine how closely the data fits the regression line.
Which metric should you review?

Select 1 option(s):

Coefficient of determination

Mean absolute error

Precision

Root Mean Square Error

Q42. You are analyzing a numerical dataset which contains missing values in several columns.

You must clean the missing values using an appropriate operation without affecting the dimensionality of the feature set.
You need to analyze a full dataset to include all values.
Solution: Replace each missing value using the Multiple Imputation by Chained Equations (MICE) method.
Does the solution meet the goal?

Select 1 option(s):

Yes

Q43. You are using the Azure Machine Learning Python SDK to write code for an experiment.

You must log metrics from each run of the experiment, and be able to retrieve them easily from each run.
What should you do?

Select 1 option(s):

Save the experiment data in the outputs folder.

Add print statements to the experiment code to print the metrics.

Use the log* methods of the Run class to record named metrics.

Q44. Let us suppose you are required to implement an early stopping criteria policy for model training. Which of the three code segments are sequenced correctly to develop the solution?

CODE SEGMENT
1. early_termination_policy = BanditPolicy(slack_factor = 0.1, evaluation_interval=1, delay_evaluation=5
2. import TruncationSelectionPolicy
3. from azureml.train.hyperdrive
4. import BanditPolicy
5. early_termination_policy = TruncationSelectionPolicy(evaluation_interval=1, truncation_percentage=20, delay_evaluation=5)

Select 1 option(s):

2/3/2004

3/2/2005

5/2/2003

Q45. You are analyzing a numerical dataset which contains missing values in several columns.

You must clean the missing values using an appropriate operation without affecting the dimensionality of the feature set.
You need to analyze a full dataset to include all values.
Solution: Calculate the column median value and use the median value as the replacement for any missing value in the column.
Does the solution meet the goal?

Select 1 option(s):

Yes

Q46. 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 Data Lake Analytics

Azure HDInsight with Spark MLib

Azure Cognitive Services

Q47. You plan to create a speech recognition deep learning model.

The model must support the latest version of Python.
You need to recommend a deep learning framework for speech recognition to include in the Data Science Virtual Machine (DSVM).
What should you recommend?

Select 1 option(s):

TensorFlow

Deeplearning4j

Rattle

Q48. “You need to configure the Edit Metadata module so that the structure of the datasets match.

Which configuration options should you select? To answer, select the appropriate options in the answer area.”

Select 1 option(s):

Box 1: Time SpanBox 2: Unchanged

Box 1: Floating point Box 2: Unchanged

Q49. You’re using the Azure Machine Learning Python SDK to run experiments.

You need to create an environment from a Conda configuration (.yml) file.
Which method of the Environment class should you use?

Select 1 option(s):

create_from_existing_conda_environment

create

create_from_conda_specification

Q50. You are creating a model to predict the price of a students artwork depending on the following variables: the students length of education, degree type, and art form.

You start by creating a linear regression model.
You need to evaluate the linear regression model.
Solution: Use the following metrics: Relative Squared Error, Coefficient of Determination, Accuracy, Precision, Recall, F1 score, and AUC.
Does the solution meet the goal?

Select 1 option(s):

Yes

Q51. Let us suppose you have a model with a large difference between the training and validation error values. Such that you are required to create a new model and perform cross-validation. You are required to identify a parameter set for the new model using Azure Machine Learning Studio. Select the most appropriate option which matches the modules to the steps correctly.

MODULES
A. Two Class Boosted Decision Tree
B. Partition and Sample
C. Tune Model Hyperparameters
D. Split Data
STEP
1. Define the parameter scope
2. Define the cross-validation settings
3. Define the metric
4. Train, evaluate and compare

Select 1 option(s):

D - 1, B - 2, A - 3, C - 4

B - 1, C - 2, D - 3, A - 4

A - 1, D - 2, B - 3, C - 4

Q52. 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 binning mode with a PQuantile normalization.
Does the solution meet the goal?

Select 1 option(s):

Yes

Q53. You have run an experiment to train a model.

You want the model to be stored in the workspace, and available to other experiments and published services.
What should you do?

Select 1 option(s):

Save the experiment script as a notebook.

Save the model as a file in a Compute Instance.

Q54. Your team is building a data engineering and data science development environment.

The environment must support the following requirements:
support Python and Scala
compose data storage, movement, and processing services into automated data pipelines
the same tool should be used for the orchestration of both data engineering and data science
support workload isolation and interactive workloads
enable scaling across a cluster of machines
You need to create the environment.
What should you do?

Select 1 option(s):

Build the environment in Apache Spark for HDInsight and use Azure Container Instances for orchestration.

Build the environment in Azure Databricks and use Azure Data Factory for orchestration.

Build the environment in Azure Databricks and use Azure Container Instances for orchestration.

Q55. Let us suppose you are creating an experiment by using Azure Machine Learning Studio. Such that you are required to divide the data into four subsets for evaluation. There is a high degree of missing values in the data. You must prepare the data for analysis. Which amongst the following three modules should you run in sequence?

1. Build Counting Transform
2. Missing Values Scrubber
3. Feature Hashing
4. Clean Missing Data
5. Replace Discrete Values
6. Import Data
7. Latent Dirichlet Transformation
8. Partition and Sample

Select 1 option(s):

2/7/2008

2/4/2006

6/4/2008

1/3/2005

Q56. You are moving a large dataset from Azure Machine Learning Studio to a Weka environment.

You need to format the data for the Weka environment.
Which module should you use?

Select 1 option(s):

Convert to ARFF

Convert to SVMLight

onvert to CSV

Q57. You are performing feature engineering on a dataset.

You must add a feature named CityName and populate the column value with the text London.
You need to add the new feature to the dataset.
Which Azure Machine Learning Studio module should you use?

Select 1 option(s):

Latent Dirichlet Allocation

Edit Metadata

Preprocess Text

Q58. You are analyzing a numerical dataset which contains missing values in several columns.

You must clean the missing values using an appropriate operation without affecting the dimensionality of the feature set.
You need to analyze a full dataset to include all values.
Solution: Remove the entire column that contains the missing data point.
Does the solution meet the goal?

Select 1 option(s):

Yes

Q59. You use the Two-Class Neural Network module in Azure Machine Learning Studio to build a binary classification model. You use the Tune Model

Hyperparameters module to tune accuracy for the model.
You need to configure the Tune Model Hyperparameters module.
Which two values should you use?

Select 2 option(s):

Number of hidden nodes

Learning Rate

Number of learning iterations

Hidden layer specification

Q60. You create a binary classification model.

You need to evaluate the model performance.
metrics can you use?

Select 2 option(s):

relative absolute error

precision

accuracy

coefficient of determination

Q61. You’ve trained a model using the Python SDK for Azure Machine Learning.

You want to deploy the model as a containerized real-time service with high scalability and security.
What kind of compute should you create to host the service?

Select 1 option(s):

A compute instance with GPUs.

An Azure Kubernetes Services (AKS) inferencing cluster.

A training cluster with multiple nodes.

Q62. You must create a compute target for training experiments that require a graphical processing unit (GPU).

You want to be able to scale the compute so that multiple nodes are started automatically as required.
Which kind of compute target should you create?

Select 1 option(s):

Compute Instance

Compute Cluster

Q63. “You need to identify the methods for dividing the data according to the testing requirements.

Which properties should you select? To answer, select the appropriate options in the answer area.”

Select 1 option(s):

Box 1: Assign to foldsBox 2: Partition evenly

Box 1: SamplingBox 2: False

Box 1: Assign to foldsBox 2: False

Q64. You must store data in Azure Blob Storage to support Azure Machine Learning.

You need to transfer the data into Azure Blob Storage.
What are three possible ways to achieve the goal?

Select 3 option(s):

Python script

Bulk Copy Program (BCP)

AzCopy

Azure Storage Explorer

Bulk Insert SQL Query

AzCopy

Q65. You are performing clustering by using the K-means algorithm.

You need to define the possible termination conditions.
Which three conditions can you use?

Select 3 option(s):

A fixed number of iterations is executed.

Centroids do not change between iterations.

The sum of distances between centroids reaches a maximum

The residual sum of squares (RSS) falls below a threshold.

Microsoft Azure Test 10

Q1. 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?

Q3. You need to implement a Data Science Virtual Machine (DSVM) that supports the Caffe2 deep learning framework. Which of the following DSVMs should you create?

Q5. You are making use of a two-class logistic regression model to create a binary classification. You want to evaluate the results of the model for disproportion. You need to configure the use of a suitable evaluation metric Which of the following is the metric you should choose?

Q9. You have configured a Deep Learning Virtual Machine for Windows. You need to use tools and frameworks to build deep neural network (DNN) models. Which tools and frameworks should you use?

Q10. You are making use of Azure Machine Learning Studio to analyze a dataset. You want to produce a statistical summary that includes the following: The p-value. The unique count for all feature columns. Which of the following actions should you take?

Q15. You have been tasked with designing a deep learning model, which accommodates the most recent edition of Python, to recognize language. You have to include a suitable deep learning framework in the Data Science Virtual Machine (DSVM). Which of the following actions should you take?

Q25. You construct a machine learning experiment via Azure Machine Learning Studio. You would like to split data into two separate datasets. Which of the following actions should you take?

Q30. You have been tasked with ascertaining if two sets of data differ considerably. You will make use of Azure Machine Learning Studio to complete your task. You plan to perform a paired t-test. Which of the following are conditions that must apply to use a paired t-test? (Choose all that apply.)

Q39. You are implementing a machine learning model to predict stock prices.

Q40. “You need to produce a visualization for the diagnostic test evaluation according to the data visualization requirements.

Q41. You are a data scientist creating a linear regression model.

Q42. You are analyzing a numerical dataset which contains missing values in several columns.

Q43. You are using the Azure Machine Learning Python SDK to write code for an experiment.

Q44. Let us suppose you are required to implement an early stopping criteria policy for model training. Which of the three code segments are sequenced correctly to develop the solution?

Q45. You are analyzing a numerical dataset which contains missing values in several columns.

Q46. You are developing deep learning models to analyze semi-structured, unstructured, and structured data types.

Q47. You plan to create a speech recognition deep learning model.

Q48. “You need to configure the Edit Metadata module so that the structure of the datasets match.

Q49. You’re using the Azure Machine Learning Python SDK to run experiments.

Q50. You are creating a model to predict the price of a students artwork depending on the following variables: the students length of education, degree type, and art form.

Q52. You are a data scientist using Azure Machine Learning Studio.

Q53. You have run an experiment to train a model.

Q54. Your team is building a data engineering and data science development environment.

Q56. You are moving a large dataset from Azure Machine Learning Studio to a Weka environment.

Q57. You are performing feature engineering on a dataset.

Q58. You are analyzing a numerical dataset which contains missing values in several columns.

Q59. You use the Two-Class Neural Network module in Azure Machine Learning Studio to build a binary classification model. You use the Tune Model

Q60. You create a binary classification model.

Q61. You’ve trained a model using the Python SDK for Azure Machine Learning.

Q62. You must create a compute target for training experiments that require a graphical processing unit (GPU).

Q63. “You need to identify the methods for dividing the data according to the testing requirements.

Q64. You must store data in Azure Blob Storage to support Azure Machine Learning.

Q65. You are performing clustering by using the K-means algorithm.

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Microsoft Azure Test 10

Q1. 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?

Q3. You need to implement a Data Science Virtual Machine (DSVM) that supports the Caffe2 deep learning framework. Which of the following DSVMs should you create?

Q5. You are making use of a two-class logistic regression model to create a binary classification. You want to evaluate the results of the model for disproportion. You need to configure the use of a suitable evaluation metric Which of the following is the metric you should choose?

Q9. You have configured a Deep Learning Virtual Machine for Windows. You need to use tools and frameworks to build deep neural network (DNN) models. Which tools and frameworks should you use?

Q10. You are making use of Azure Machine Learning Studio to analyze a dataset. You want to produce a statistical summary that includes the following: The p-value. The unique count for all feature columns. Which of the following actions should you take?

Q15. You have been tasked with designing a deep learning model, which accommodates the most recent edition of Python, to recognize language. You have to include a suitable deep learning framework in the Data Science Virtual Machine (DSVM). Which of the following actions should you take?

Q25. You construct a machine learning experiment via Azure Machine Learning Studio. You would like to split data into two separate datasets. Which of the following actions should you take?

Q30. You have been tasked with ascertaining if two sets of data differ considerably. You will make use of Azure Machine Learning Studio to complete your task. You plan to perform a paired t-test. Which of the following are conditions that must apply to use a paired t-test? (Choose all that apply.)

Q39. You are implementing a machine learning model to predict stock prices.

Q40. “You need to produce a visualization for the diagnostic test evaluation according to the data visualization requirements.

Q41. You are a data scientist creating a linear regression model.

Q42. You are analyzing a numerical dataset which contains missing values in several columns.

Q43. You are using the Azure Machine Learning Python SDK to write code for an experiment.

Q44. Let us suppose you are required to implement an early stopping criteria policy for model training. Which of the three code segments are sequenced correctly to develop the solution?

Q45. You are analyzing a numerical dataset which contains missing values in several columns.

Q46. You are developing deep learning models to analyze semi-structured, unstructured, and structured data types.

Q47. You plan to create a speech recognition deep learning model.

Q48. “You need to configure the Edit Metadata module so that the structure of the datasets match.

Q49. You’re using the Azure Machine Learning Python SDK to run experiments.

Q50. You are creating a model to predict the price of a students artwork depending on the following variables: the students length of education, degree type, and art form.

Q52. You are a data scientist using Azure Machine Learning Studio.

Q53. You have run an experiment to train a model.

Q54. Your team is building a data engineering and data science development environment.

Q56. You are moving a large dataset from Azure Machine Learning Studio to a Weka environment.

Q57. You are performing feature engineering on a dataset.

Q58. You are analyzing a numerical dataset which contains missing values in several columns.

Q59. You use the Two-Class Neural Network module in Azure Machine Learning Studio to build a binary classification model. You use the Tune Model

Q60. You create a binary classification model.

Q61. You’ve trained a model using the Python SDK for Azure Machine Learning.

Q62. You must create a compute target for training experiments that require a graphical processing unit (GPU).

Q63. “You need to identify the methods for dividing the data according to the testing requirements.

Q64. You must store data in Azure Blob Storage to support Azure Machine Learning.

Q65. You are performing clustering by using the K-means algorithm.

Q50. You are creating a model to predict the price of a students artwork depending on the following variables: the students length of education, degree type, and art form.