Practice Test for DP-100 Certification Real 2023 Mock Exam [Q103-Q121]

Practice Test for DP-100 Certification Real 2023 Mock Exam [Q103-Q121]

5 月 4, 2023 DP-100 > 微软 0
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Practice Test for DP-100 Certification Real 2023 Mock Exam

Prepare For Realistic DP-100 Dumps PDF – 100% Passing Guarantee

Microsoft DP-100 Exam Syllabus Topics:

主题 详细信息

Manage Azure resources for machine learning (25-30%)

Create an Azure Machine Learning workspace – create an Azure Machine Learning workspace
– configure workspace settings
– manage a workspace by using Azure Machine Learning studio
Manage data in an Azure Machine Learning workspace – select Azure storage resources
– register and maintain datastores
– create and manage datasets
Manage compute for experiments in Azure Machine Learning – determine the appropriate compute specifications for a training workload
– create compute targets for experiments and training
– configure Attached Compute resources including Azure Databricks
– monitor compute utilization
Implement security and access control in Azure Machine Learning – determine access requirements and map requirements to built-in roles
– create custom roles
– manage role membership
– manage credentials by using Azure Key Vault
Set up an Azure Machine Learning development environment – create compute instances
– share compute instances
– access Azure Machine Learning workspaces from other development environments
Set up an Azure Databricks workspace – create an Azure Databricks workspace
– create an Azure Databricks cluster
– create and run notebooks in Azure Databricks
– link and Azure Databricks workspace to an Azure Machine Learning workspace

Run Experiments and Train Models (20-25%)

Create models by using the Azure Machine Learning Designer – create a training pipeline by using Azure Machine Learning designer
– ingest data in a designer pipeline
– use designer modules to define a pipeline data flow
– use custom code modules in designer
Run model training scripts – create and run an experiment by using the Azure Machine Learning SDK
– configure run settings for a script
– consume data from a dataset in an experiment by using the Azure Machine Learning SDK
– run a training script on Azure Databricks compute
– run code to train a model in an Azure Databricks notebook
Generate metrics from an experiment run – log metrics from an experiment run
– retrieve and view experiment outputs
– use logs to troubleshoot experiment run errors
– use MLflow to track experiments
– track experiments running in Azure Databricks
Use Automated Machine Learning to create optimal models – use the Automated ML interface in Azure Machine Learning studio
– use Automated ML from the Azure Machine Learning SDK
– select pre-processing options
– select the algorithms to be searched
– define a primary metric
– get data for an Automated ML run
– retrieve the best model
Tune hyperparameters with Azure Machine Learning – select a sampling method
– define the search space
– define the primary metric
– define early termination options
– find the model that has optimal hyperparameter values

Deploy and operationalize machine learning solutions (35-40%)

Select compute for model deployment – consider security for deployed services
– evaluate compute options for deployment
Deploy a model as a service – configure deployment settings
– deploy a registered model
– deploy a model trained in Azure Databricks to an Azure Machine Learning endpoint
– consume a deployed service
– troubleshoot deployment container issues
Manage models in Azure Machine Learning – register a trained model
– monitor model usage
– monitor data drift
Create an Azure Machine Learning pipeline for batch inferencing – configure a ParallelRunStep
– configure compute for a batch inferencing pipeline
– publish a batch inferencing pipeline
– run a batch inferencing pipeline and obtain outputs
– obtain outputs from a ParallelRunStep
Publish an Azure Machine Learning designer pipeline as a web service – create a target compute resource
– configure an Inference pipeline
– consume a deployed endpoint
Implement pipelines by using the Azure Machine Learning SDK – create a pipeline
– pass data between steps in a pipeline
– run a pipeline
– monitor pipeline runs
Apply ML Ops practices – trigger an Azure Machine Learning pipeline from Azure DevOps
– automate model retraining based on new data additions or data changes
– refactor notebooks into scripts
– implement source control for scripts

Basic Exam Traits

The Microsoft DP-100 is an associate-level job role-based exam. Its structure is the same as any other exam falling in this category. As per the standard test format, DP-100 exam is likely to contain 40-60 exam questions. As far as question format is concerned, Microsoft doesn’t follow a set pattern. The exam is likely to cover questions based on the MCQ pattern. However, the odds of including items based on other patterns like case studies and best answers are also high. What’s more, there is no exact passing score as there is no fixed number of questions and it might change as per the final number of tasks. Nonetheless, a test-taker must secure 70% passing marks to be called successful in the official exam. Currently, this test can be taken in English, Japanese, Chinese (Simplified), and Korean worldwide. The standard exam fee is $165 and is likely to get changed as per the location of the test-taker.

How to Register For Exam DP-100: Designing and Implementing a Data Science Solution on Azure?

Exam Register Link: https://examregistration.microsoft.com/?locale=en-us&examcode=DP-100&examname=Exam%20DP-100:%20Designing%20and%20Implementing%20a%20Data%20Science%20Solution%20on%20Azure&returnToLearningUrl=https%3A%2F%2Fdocs.microsoft.com%2Flearn%2Fcertifications%2Fexams%2Fdp-100

 

新问题 103
You need to configure the Permutation Feature Importance module for the model training requirements.
What should you do? To answer, select the appropriate options in the dialog box in the answer area.
注意:每个正确选项得一分。

新问题 104
You arc creating a new experiment in Azure Machine Learning Studio. You have a small dataset that has missing values in many columns. The data does not require the application of predictors for each column. You plan to use the Clean Missing Data module to handle the missing data.
You need to select a data cleaning method.
Which method should you use?

 
 
 
 

新问题 105
You train a model and register it in your Azure Machine Learning workspace. You are ready to deploy the model as a real-time web service.
You deploy the model to an Azure Kubernetes Service (AKS) inference cluster, but the deployment fails because an error occurs when the service runs the entry script that is associated with the model deployment.
You need to debug the error by iteratively modifying the code and reloading the service, without requiring a re-deployment of the service for each code update.
你该怎么办?

 
 
 
 
 

新问题 106
You have a Python data frame named salesData in the following format:

The data frame must be unpivoted to a long data format as follows:

You need to use the pandas.melt() function in Python to perform the transformation.
如何完成代码段?请在答案区域选择相应的选项。
注意:每个正确选项得一分。

新问题 107
You have a feature set containing the following numerical features: X, Y, and Z.
The Poisson correlation coefficient (r-value) of X, Y, and Z features is shown in the following image:
Use the drop-down menus to select the answer choice that answers each question based on the information presented in the graphic.
注意:每个正确选项得一分。

新问题 108
You are analyzing a dataset containing historical data from a local taxi company. You arc developing a regression a regression model.
You must predict the fare of a taxi trip.
You need to select performance metrics to correctly evaluate the- regression model.
Which two metrics can you use? Each correct answer presents a complete solution.
注意:每个正确选项得一分。

 
 
 
 
 
 

新问题 109
You have a dataset that contains 2,000 rows. You are building a machine learning classification model by using Azure Learning Studio. You add a Partition and Sample module to the experiment.
You need to configure the module. You must meet the following requirements:
* Divide the data into subsets
* Assign the rows into folds using a round-robin method
* Allow rows in the dataset to be reused
How should you configure the module? To answer, select the appropriate options in the dialog box in the answer area.
注意:每个正确选项得一分。

新问题 110
You need to build a feature extraction strategy for the local models.
如何完成代码段?请在答案区域选择相应的选项。
注意:每个正确选项得一分。

新问题 111
You create an Azure Machine Learning compute resource to train models. The compute resource is configured as follows:
* Minimum nodes: 2
* Maximum nodes: 4
You must decrease the minimum number of nodes and increase the maximum number of nodes to the following values:
* Minimum nodes: 0
* Maximum nodes: 8
You need to reconfigure the compute resource.
What are three possible ways to achieve this goal? Each correct answer presents a complete solution.
注意:每个正确选项得一分。

 
 
 
 
 

新问题 112
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? Each correct answer presents part of the solution.
注意:每个正确选项得一分。

 
 
 
 
 

新问题 113
You need to define an evaluation strategy for the crowd sentiment models.
您应该依次执行哪三个操作?要回答问题,请将适当的操作从操作列表移到答案区域,并按正确顺序排列。

新问题 114
You are working on a classification task. You have a dataset indicating whether a student would like to play soccer and associated attributes. The dataset includes the following columns:
You need to classify variables by type.
Which variable should you add to each category? To answer, select the appropriate options in the answer area.
注意:每个正确选项得一分。

新问题 115
You plan to use a Data Science Virtual Machine (DSVM) with the open source deep learning frameworks Caffe2 and PyTorch.
You need to select a pre-configured DSVM to support the frameworks.
What should you create?

 
 
 
 
 

新问题 116
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 in sequence? To answer, move the appropriate modules from the list of modules to the answer area and arrange them in the correct order.

新问题 117
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 select the hyperparameters that should be tuned using the Tune Model Hyperparameters module.
Which two hyperparameters should you use? Each correct answer presents part of the solution.
注意:每个正确选项得一分。

 
 
 
 
 

新问题118
You create machine learning models by using Azure Machine Learning.
You plan to train and score models by using a variety of compute contexts. You also plan to create a new compute resource in Azure Machine Learning studio.
You need to select the appropriate compute types.
Which compute types should you select? To answer, drag the appropriate compute types to the correct requirements. Each compute type 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.
注意:每个正确选项得一分。

NEW QUESTION 119
You are using the Azure Machine Learning Service to automate hyper par a meter exploration of your neural network classification model.
You must define the hyper parameter space to automatically tune hyper parameters using random sampling according to following requirements:
* Learning rate must be selected from a normal distribution with a mean value of 10 and a standard deviation of 3.
* Batch size must be 16, 32 and 64.
* Keep probability must be a value selected from a uniform distribution between the range of 0.05 and 0.1.
You need to use the par am .sampling method of the Python API for the Azure Machine Learning Service.
How should you complete the code segment? To answer, select the appropriate Options in the answer area.
注意:每个正确选项得一分。

NEW QUESTION 120
You use Azure Machine Learning Studio to build a machine learning experiment.
You need to divide data into two distinct datasets.
Which module should you use?

 
 
 
 

NEW QUESTION 121
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.


Download DP-100 Exam Dumps Questions to get 100% Success: https://www.examboosts.com/Microsoft/DP-100-practice-exam-dumps.html

         

Related Links: myportal.utt.edu.tt www.scener.com myportal.utt.edu.tt www.stes.tyc.edu.tw myportal.utt.edu.tt www.stes.tyc.edu.tw

 

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