Microsoft DP-100最新題庫資源 &免費下載DP-100考題

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>> Microsoft DP-100最新題庫資源 <<

準備充分的DP-100最新題庫資源和資格考試中的領先提供者和更新的Microsoft Designing and Implementing a Data Science Solution on Azure

Microsoft DP-100認證考試在競爭激烈的IT行業中越來越受歡迎,報名參加考試的人越來越多。但是它的難度並沒有減小,依然很難通過考試,畢竟這是個權威的檢驗電腦專業知識和資訊技術能力的考試。一般人為了通過Microsoft DP-100 認證考試都需要花費大量的時間和精力來復習備考。

最新的 Microsoft Azure DP-100 免費考試真題 (Q82-Q87):

問題 #82
You manage an Azure Machine Learning workspace. You plan to import data from Azure Data Lake Storage Gen2. You need to build a URI that represents the storage location. Which protocol should you use?

答案:C


問題 #83
Hotspot Question
You register the following versions of a model.

You use the Azure ML Python SDK to run a training experiment. You use a variable named run to reference the experiment run.
After the run has been submitted and completed, you run the following code:

For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

答案:

解題說明:

Explanation:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-deploy-and-where


問題 #84
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.

答案:

解題說明:

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


問題 #85
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.
NOTE: Each correct selection is worth one point.

答案:

解題說明:

Explanation:

Box 1: Attached compute

Box 2: Inference cluster
Box 3: Training cluster
Box 4: Attached compute


問題 #86
You train and register a machine learning model. You create a batch inference pipeline that uses the model to generate predictions from multiple data files.
You must publish the batch inference pipeline as a service that can be scheduled to run every night.
You need to select an appropriate compute target for the inference service.
Which compute target should you use?

答案:C

解題說明:
Azure Machine Learning compute clusters is used for Batch inference. Run batch scoring on serverless compute. Supports normal and low-priority VMs. No support for real-time inference.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/concept-compute-target


問題 #87
......

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