Exam DP-100 topic 3 question 45 discussion

Import data using the Import Data module The Import Data module skips registering your dataset in Azure Machine Learning and imports data directly from a datastore or HTTP URL. So Answer is C

Answer is D By creating a dataset, you create a reference to the data source location, along with a copy of its metadata. Because the data remains in its existing location, you incur no extra storage cost, hence minimise administrative effort as required in the question. For the data to be accessible by Azure Machine Learning, datasets must be created from paths in Azure datastores or public web URLs. https://docs.microsoft.com/en-us/azure/machine-learning/how-to-create-register-datasets

C - ChatGPT The "Import Data" module in the Azure Machine Learning designer allows you to import data from various sources, including web URLs. It provides a simple way to ingest data from a CSV file published on a website without the need to create a dataset beforehand.

C. Import Data The Dataset module is used to create a dataset from existing data sources, such as Azure Blob Storage, Azure Data Lake Storage, or Azure SQL Database. Since the data is already in a CSV file, the Import Data module is the best option for ingesting the data into the pipeline with minimal administrative effort.

C. Import Data for minimal admin effort Using the Import Data component in Azure Machine Learning Studio requires minimal administrative effort compared to using Azure Machine Learning datasets. The Import Data component allows you to import data into your pipeline by specifying the URL of the file, so you can easily access and work with the data without the need to manually download and upload the file. This makes it a quick and efficient way to get your data into the pipeline with minimal administrative effort. On the other hand, creating an Azure Machine Learning dataset requires more steps, such as uploading the data to a storage account and creating the dataset in the Azure Machine Learning Studio, which can take more time and effort. https://learn.microsoft.com/en-us/azure/machine-learning/v1/how-to-designer-import-data

Import data is correct

maybe this question is a bit outdated. Through a Dataset object is currently possible to read data from HTTP URL's, so in my opinion D is the correct answer. https://docs.microsoft.com/en-us/python/api/azureml-core/azureml.core.dataset.dataset?view=azure-ml-py

Answer is C

I see only this kind of comment by the user across many question. I suspect this is just spamming.. even the user display name is suspect

C. Enter Data Manually (to minimize administrative cost)

On exam 2021/7/10

Correct answer: C. Modules for data input and output on designer: - Enter Data Manually - Export Data - Import Data https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/module-reference

Answer D is correct. Please refer the below link which states add dataset Module for import data. https://docs.microsoft.com/en-us/azure/machine-learning/tutorial-designer-automobile-price-train-score

https://docs.microsoft.com/en-us/azure/machine-learning/how-to-designer-import-data There are two possible ways to extract data 1. Register Data - to "Dataset" segment 2. Using "Import Data" Since question is already ask about extracting data via website and user didn't register dataset beforehand C is should be correct answer.

Answer is C: Import Data module - Use the Import Data module to directly access data from online datasources. https://docs.microsoft.com/en-us/azure/machine-learning/how-to-designer-import-data https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/import-data

Dataset is not even a module that you can use in designer. Import Data is correct answer.

explication for the question is not even for the designer. the answer is 'C'