Category: DP-100 VCE

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NEW QUESTION 301
You use Azure Machine Learning to train a model based on a dataset named dataset1. You define a dataset monitor and create a dataset named dataset2 that contains new data. You need to compare dataset1 and dataset2 by using the Azure Machine Learning SDK for Python. Which method of the DataDriftDetector class should you use?

A.    run
B.    get
C.    backfill
D.    update

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NEW QUESTION 271
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 AI Data Science Virtual Machine (Geo-DSVM) Windows edition.
Will the requirements be satisfied?

A.    Yes
B.    No

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NEW QUESTION 206
You train a machine learning model. You must deploy the model as a real-time inference service for testing. The service requires low CPU utilization and less than 48 MB of RAM. The compute target for the deployed service must initialize automatically while minimizing cost and administrative overhead. Which compute target should you use?

A.    Azure Container Instance (ACI)
B.    Attached Azure Databricks cluster
C.    Azure Kubernetes Service (AKS) inference cluster
D.    Azure Machine Learning compute cluster

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NEW QUESTION 162
You plan to provision an Azure Machine Learning Basic edition workspace for a data science project. You need to identify the tasks you will be able to perform in the workspace. Which three tasks will you be able to perform? (Each correct answer presents a complete solution. Choose three.)

A.    Create a Compute Instance and use it to run code in Jupyter notebooks.
B.    Create an Azure Kubernetes Service (AKS) inference cluster.
C.    Use the designer to train a model by dragging and dropping pre-defined modules.
D.    Create a tabular dataset that supports versioning.
E.    Use the Automated Machine Learning user interface to train a model.

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NEW QUESTION 1
You are conducting feature engineering to prepuce data for further analysis. The data includes seasonal patterns on inventory requirements. You need to select the appropriate method to conduct feature engineering on the data. Which method should you use?

A.    Exponential Smoothing (ETS) function.
B.    One Class Support Vector Machine module.
C.    Time Series Anomaly Detection module.
D.    Finite Impulse Response (FIR) Filter module.