You create a training pipeline by using the Azure Machine Learning designer. You need to load data into a machine learning pipeline by using the Import Data component. Which two data sources could you use? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point

• A. Azure Data Lake Storage Gen2
• B. Azure Blob storage container through a registered datastore
• C. URL via HTTP
• D. Azure SQL Database
• E. Registered dataset

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?

• A. Azure Container Instance (ACI) compute target
• B. Azure Kubernetes Service (AKS)-based inference cluster
• C. Azure Machine Learning compute instance
• D. Azure Machine Learning compute cluster

You are building a machine learning model for translating English language textual content into French language textual content.
You need to build and train the machine learning model to learn the sequence of the textual content.
Which type of neural network should you use?

• A. Recurrent Neural Networks (RNNs)
• B. Generative Adversarial Networks (GANs)
• C. Multilayer Perceptions (MLPs)
• D. Convolutional Neural Networks (CNNs)

You manage an Azure Machine Learning workspace. The Pylhon scrip! named scriptpy reads an argument named training_data. The trainlng.data argument specifies the path to the training data in a file named datasetl.
csv.
You plan to run the scriptpy Python script as a command job that trains a machine learning model.
You need to provide the command to pass the path for the datasct as a parameter value when you submit the script as a training job.
Solution: python script.py -training_data ${{inputs,training_data}}
Does the solution meet the goal?

• A. Yes
• B. No