Exam DP-100 topic 1 question 13 discussion

The Import Data component support read data from following sources: URL via HTTP Azure cloud storages through Datastores) Azure Blob Container Azure File Share Azure Data Lake Azure Data Lake Gen2 Azure SQL Database Azure PostgreSQL

The correct answer is C (import data module). Both dataset and import data modules can do the job, but dataset module requires one to register the dataset first before using it in designer, so violating the least admin efforts.

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why the revealed tell wrong answer

C. You should add the Import Data object to the pipeline. Adding the Import Data object to the pipeline in Azure Machine Learning designer is the most efficient way to ingest data from a CSV file published on a website. This action allows you to directly access and import the data into the pipeline with minimal administrative effort, eliminating the need for manual data conversion or copying. The Import Data object supports various data sources, including web URLs, making it ideal for this task.

The instruction explicitly says that there is no dataset registered for the csv file. D (add dataset object) presupposes that such a dataset exists and thus is False. C (import data module) remains as the only viable option.

According to MS in reference to the Import Data component: "All functionality provided by this component can be done by datastore and datasets in the workspace landing page. We recommend you use datastore and dataset which includes additional features like data monitoring" https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/import-data?view=azureml-api-2 Hence DataSet is the preferred method, i.e. answer D.

Let's see screenshot, it is CSV https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/media/module/import-data-path.png?view=azureml-api-2 https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/import-data?view=azureml-api-2#how-to-configure-import-data C is the correct answer: 'Import Data' in pipeline.

the correct answer is C. You should add the Import Data object to the pipeline. However, if you prefer to create the dataset manually, then you could use the Dataset object.

The Import Data module in Azure Machine Learning designer allows you to read data from various data sources, including web URLs, and import it directly into your pipeline. By configuring the Import Data object with the URL of the CSV file, you can easily bring the data into the pipeline for further processing.

Dataset for this file does not exist.... and proceeded with answer D? My question is how you add dataset object to pipeline if it does not exist? Like literally how? Answer is C obviously

There is a note in the link, regarding import-data "https://docs.microsoft.com/en-us/azure/machine-learning/component-reference/import-data", which recommends to use dataset... I am not sure when this note was added.. This is the note: "All functionality provided by this component can be done by datastore and datasets in the workspace landing page. We recommend you use datastore and dataset which includes additional features like data monitoring. To learn more, see How to Access Data and How to Register Datasets article. After you register a dataset, you can find it in the Datasets -> My Datasets category in designer interface. This component is reserved for Studio(classic) users to for a familiar experience." So I think as of Jan 2023, the answer should be registering a dataset (similar to D, but may need to be rephrased).

B. You should add the Copy Data object to the pipeline. To ingest data from a CSV file published on a website into the Azure Machine Learning designer pipeline with the least amount of administrative effort possible, you should add the Copy Data object to the pipeline. The Copy Data object is used to copy data from a source to a destination, and it supports a variety of sources, including web URLs. By using the Copy Data object, you can quickly and easily ingest the data from the CSV file into the pipeline, without having to create a dataset or perform any additional preprocessing. This will minimize administrative effort and allow you to quickly get started with training a model using the data.

I have a question for yall fellas: The question mentions that there is no dataset for this file... Can we import data object if there is no dataset of this file?

There are two ways you can import data into the designer: Azure Machine Learning datasets - Register datasets in Azure Machine Learning to enable advanced features that help you manage your data. Import Data component - Use the Import Data component to directly access data from online data sources

The correct answer is C. Import data component is used to import data from data sources such as web URLs with minimum effort. Reference: https://docs.microsoft.com/en-us/azure/machine-learning/component-reference/import-data

In Azure Designer, there is no such object as "IMPORT DATA". So the answer is "insert Dataset".