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Reliable DP-100 Exam Cram & Lead2Passed - Leader in Certification Exam Materials & Microsoft Designing and Implementing a Data Science Solution on Azure

The product is made in three different formats to help customers with different preparation styles meet their needs. One of these formats is Microsoft DP-100 Dumps PDF file which is printable and portable. Users can take Designing and Implementing a Data Science Solution on Azure (DP-100) PDF questions anywhere and use them anytime.

How to book the DP-100 Exam

These are following steps for registering the DP-100 exam.Step 1: Visit to Microsoft Exam RegistrationStep 2: Signup/Login to MICROSOFT accountStep 3: Search for MICROSOFT DP-100 Certifications ExamStep 4: Select Date and Center of examination and confirm with payment value of $165

Microsoft Designing and Implementing a Data Science Solution on Azure Sample Questions (Q272-Q277):

NEW QUESTION # 272
You are a lead data scientist for a project that tracks the health and migration of birds. You create a multi- image classification deep learning model that uses a set of labeled bird photos collected by experts. You plan to use the model to develop a cross-platform mobile app that predicts the species of bird captured by app users.
You must test and deploy the trained model as a web service. The deployed model must meet the following requirements:
An authenticated connection must not be required for testing.
The deployed model must perform with low latency during inferencing.
The REST endpoints must be scalable and should have a capacity to handle large number of requests when multiple end users are using the mobile application.
You need to verify that the web service returns predictions in the expected JSON format when a valid REST request is submitted.
Which compute resources should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

Box 1: ds-workstation notebook VM
An authenticated connection must not be required for testing.
On a Microsoft Azure virtual machine (VM), including a Data Science Virtual Machine (DSVM), you create local user accounts while provisioning the VM. Users then authenticate to the VM by using these credentials.
Box 2: gpu-compute cluster
Image classification is well suited for GPU compute clusters
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/data-science-virtual-machine/dsvm-common-identity
https://docs.microsoft.com/en-us/azure/architecture/reference-architectures/ai/training-deep-learning


NEW QUESTION # 273
You are performing feature scaling by using the scikit-learn Python library for x.1 x2, and x3 features.
Original and scaled data 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.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
http://benalexkeen.com/feature-scaling-with-scikit-learn/


NEW QUESTION # 274
You are designing an Azure Machine Leaning solution by using the Python SDK v2.
You must train and deploy the solution by using a compute target. The compute target must meet the following requirements:
* Enable the use of on-premises compute resources.
* Support autoscalling.
You need to configure a compute target for training and inference.
Which compute target t should you configure?
To answer select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:


NEW QUESTION # 275
You create an Azure Machine Learning workspace.
You must configure an event handler to send an email notification when data drift is detected in the workspace datasets. You must minimize development efforts.
You need to configure an Azure service to send the notification.
Which Azure service should you use?

Answer: A


NEW QUESTION # 276
You arc I mating a deep learning model to identify cats and dogs. You have 25,000 color images.
You must meet the following requirements:
* Reduce the number of training epochs.
* Reduce the size of the neural network.
* Reduce over-fitting of the neural network.
You need to select the image modification values.
Which value should you use? To answer, select the appropriate Options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 277
......

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