Open the auxiliary access

Firefly Open Source Community

   Login   |   Register   |
New_Topic
Firefly Open Source Community › Embedded Board › AIO-3566JD4› Quiz Microsoft - DP-100 - Unparalleled New Designing ...
New Topic
Print Previous Topic Next Topic

Quiz Microsoft - DP-100 - Unparalleled New Designing and Implementing a Data Sci

raylee244

140

Credits

0

Prestige

0

Contribution

registered members

Rank: 2

Credits
140

Quiz Microsoft - DP-100 - Unparalleled New Designing and Implementing a Data Sci

Posted at 2 hour before      View：13 | Replies：0        Print      Only Author   [Copy Link] 1#
2026 Latest TestkingPDF DP-100 PDF Dumps and DP-100 Exam Engine Free Share: https://drive.google.com/open?id=1p4KfTwPG0d60YT4QPo_zS6RYILzwtWTQ
For candidates who will attend an exam, some practice for it is necessary. DP-100 Exam Dumps of us will give you the practice you need. DP-100 exam dumps of us contain the knowledge point of the exam. Skilled professionals will verify the questions and answers, which will guarantee the correctness. Besides, we also offer you free update for one year after purchasing, and the update version will send to your email address automatically.
Microsoft DP-100 Certification Exam is designed to test the skills and knowledge required to design and implement a data science solution on Azure. DP-100 exam is aimed at professionals who are involved in building and implementing data science solutions, including data scientists, data engineers, and machine learning engineers. Passing the exam demonstrates that the candidate has the skills and knowledge required to design and implement a data science solution on Azure.
2. Train Models & Run Experiments (25-30%):
  • Models creation with Azure ML Designer: This domain covers the examinees’ skills in using custom code modules within the design and using designer modules for the definition of pipeline data flows. It also requires one’s competence in ingesting data within designer pipelines and creating training pipelines utilizing ML Designer.
  • Metrics generation from experiment runs: The candidates must be able to use logs for troubleshooting errors in experiment runs, log metrics from experiment run, and view and retrieve experiment outputs.
  • Training scripts run within Azure ML workspaces: The students should have the expertise in creating and running experiments utilizing Azure ML SDK as well configuring run settings for the scripts. This subject area also requires their skills in data consumption from datasets for an experiment using Azure ML SDK.
  • Model training process automation: The individuals need the relevant skills in running pipelines, passing data within steps in pipelines, monitoring pipeline runs, and creating pipelines with the use of SDK.
Free PDF Quiz 2026 DP-100: Designing and Implementing a Data Science Solution on Azure – Valid New Test ReviewTestkingPDF is a wonderful study platform that can transform your effective diligence in to your best rewards. By years of diligent work, our experts have collected the frequent-tested knowledge into our DP-100 exam materials for your reference. So our DP-100 Practice Questions are triumph of their endeavor. I can say that no one can know the DP-100 study guide better than them and our quality of the DP-100 learning quiz is the best.
Microsoft DP-100 is a certification exam that validates one’s ability to design and implement data science solutions on Azure. DP-100 exam is designed for professionals who want to enhance their skills in data science and become certified in Azure data science solutions. DP-100 Exam covers a wide range of topics, including data exploration, data preparation, modeling, and deployment.
Microsoft Designing and Implementing a Data Science Solution on Azure Sample Questions (Q290-Q295):NEW QUESTION # 290
You create an Azure Machine Learning workspace
You are developing a Python SDK v2 notebook to perform custom model training in the workspace. The notebook code imports all required packages.
You need to complete the Python SDK v2 code to include a training script. environment, and compute information.
How should you complete ten code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point

Answer:
Explanation:


NEW QUESTION # 291
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.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Reference:
https://docs.microsoft.com/en-us ... /clean-missing-data

NEW QUESTION # 292
You are performing a classification task in Azure Machine Learning Studio.
You must prepare balanced testing and training samples based on a provided data set.
You need to split the data with a 0.75:0.25 ratio.
Which value should you use for each parameter? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:

Box 1: Split rows
Use the Split Rows option if you just want to divide the data into two parts. You can specify the percentage of data to put in each split, but by default, the data is divided 50-50.
You can also randomize the selection of rows in each group, and use stratified sampling. In stratified sampling, you must select a single column of data for which you want values to be apportioned equally among the two result datasets.
Box 2: 0.75
If you specify a number as a percentage, or if you use a string that contains the "%" character, the value is interpreted as a percentage. All percentage values must be within the range (0, 100), not including the values 0 and 100.
Box 3: Yes
To ensure splits are balanced.
Box 4: No
If you use the option for a stratified split, the output datasets can be further divided by subgroups, by selecting a strata column.
Reference:
https://docs.microsoft.com/en-us ... eference/split-data

NEW QUESTION # 293
You are analyzing a raw dataset that requires cleaning.
You must perform transformations and manipulations by using Azure Machine Learning Studio.
You need to identify the correct modules to perform the transformations.
Which modules should you choose? To answer, drag the appropriate modules to the correct scenarios. Each module 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:

Explanation:

Box 1: Clean Missing Data
Box 2: SMOTE
Use the SMOTE module in Azure Machine Learning Studio to increase the number of underepresented cases in a dataset used for machine learning. SMOTE is a better way of increasing the number of rare cases than simply duplicating existing cases.
Box 3: Convert to Indicator Values
Use the Convert to Indicator Values module in Azure Machine Learning Studio. The purpose of this module is to convert columns that contain categorical values into a series of binary indicator columns that can more easily be used as features in a machine learning model.
Box 4: Remove Duplicate Rows
References:
https://docs.microsoft.com/en-us ... ule-reference/smote
https://docs.microsoft.com/en-us ... to-indicator-values

NEW QUESTION # 294
You create a multi-class image classification deep learning model.
The model must be retrained monthly with the new image data fetched from a public web portal. You create an Azure Machine Learning pipeline to fetch new data, standardize the size of images, and retrain the model.
You need to use the Azure Machine Learning SDK to configure the schedule for the pipeline.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:
Explanation:

Explanation

Step 1: Publish the pipeline.
To schedule a pipeline, you'll need a reference to your workspace, the identifier of your published pipeline, and the name of the experiment in which you wish to create the schedule.
Step 2: Retrieve the pipeline ID.
Needed for the schedule.
Step 3: Create a ScheduleRecurrence..
To run a pipeline on a recurring basis, you'll create a schedule. A Schedule associates a pipeline, an experiment, and a trigger.
First create a schedule. Example: Create a Schedule that begins a run every 15 minutes:
recurrence = ScheduleRecurrence(frequency="Minute", interval=15)
Step 4: Define an Azure Machine Learning pipeline schedule..
Example, continued:
recurring_schedule = Schedule.create(ws, name="MyRecurringSchedule",
description="Based on time",
pipeline_id=pipeline_id,
experiment_name=experiment_name,
recurrence=recurrence)
Reference:
https://docs.microsoft.com/en-us ... -schedule-pipelines

NEW QUESTION # 295
......
DP-100 Exams Training: https://www.testkingpdf.com/DP-100-testking-pdf-torrent.html
BONUS!!! Download part of TestkingPDF DP-100 dumps for free: https://drive.google.com/open?id=1p4KfTwPG0d60YT4QPo_zS6RYILzwtWTQ
https://www.pdfexamdumps.com
Reply

Use props Report

Return to List
High mode
B Color Image Link Quote Code Smilies
You need to log in before you can reply Login | Register

This forum Credits Rules

  •  

Service Hotline : (+86)18688117175
Contact us
E-mail : global@t-firefly.com
Copyright © 2014-2022, FIREFLY TECHNOLOGY CO.,LTD. All Rightts Reserved. 粤ICP备14022046号-2
Quick Reply Back to top Back to list