1. Your company has recently deployed 5,000 Internet-connected sensors for a planned AI solution. You need to recommend a computing solution to perform a real-time analysis of the data generated by the sensors. Which computing solution should you recommend?

2. You are designing an AI solution that will provide feedback to teachers who train students over the Internet. The students will be in classrooms located in remote areas. The solution will capture video and audio data of the students in the classrooms. You need to recommend Azure Cognitive Services for the AI solution to meet the following requirements: Alert teachers if a student seems angry or distracted. Identify each student in the classrooms for attendance purposes. Allow the teachers to log the text of conversations between themselves and the students. Which Cognitive Services should you recommend?

3. You create an Azure Cognitive Services resource. You develop needs to be able to retrieve the keys used by the resource. The solution must use the principle of least privilege. What is the best role to assign to the developer? More than one answer choice may achieve the goal.

4. Your company recently deployed several hardware devices that contain sensors. The sensors generate new data on an hourly basis. The data generated is stored on-premises and retained for several years. During the past two months, the sensors generated 300 GB of data. You plan to move the data to Azure and then perform advanced analytics on the data. You need to recommend an Azure storage solution for the data. Which storage solution should you recommend?

5. You create several AI models in Azure Machine Learning Studio. You deploy the models to a production environment. You need to monitor the compute performance of the models. Solution: You write a custom scoring script. Does this meet the goal?

6. You have thousands of images that contain text. You need to process the text from the images to a machine-readable character stream. Which Azure Cognitive Services service should you use?

7. You have an Azure Machine Learning model that is deployed to a web service. You plan to publish the web service by using the name ml.contoso.com. You need to recommend a solution to ensure that access to the web service is encrypted.

8. You are developing an application that uses an Azure Kubernetes Service (AKS) cluster. You are troubleshooting a node issue. You need to connect to an AKS node by using SSH. Solution: You create a managed identity for AKS, and then you create an SSH connection. Does this meet the goal?

9. You are developing a Computer Vision application. You plan to use a workflow that will load data from an on-premises database to Azure Blob storage, and then connect to an Azure Machine Learning service. What should you use to orchestrate the workflow?

10. You are designing a solution that will use the Azure Content Moderator service to moderate user-generated content. You need to moderate custom predefined content without repeatedly scanning the collected content. Which API should you use?

11. You create several AI models in Azure Machine Learning Studio. You deploy the models to a production environment. You need to monitor the compute performance of the models. Solution: You enable AppInsights diagnostics. Does this meet the goal?

12. You are designing an AI workflow that will aggregate data stored in Azure as JSON documents. You expect to store more than 2 TB of new data daily. You need to choose the data storage service for the data. The solution must minimize costs. Which data storage service should you choose?

13. You have Azure IoT Edge devices that generate streaming data. On the devices, you need to detect anomalies in the data by using Azure Machine Learning models. Once an anomaly is detected, the devices must add information about the anomaly to the Azure IoT Hub stream. Solution: You expose a Machine Learning model as an Azure web service. Does this meet the goal?

14. You have a database that contains sales data. You plan to process the sales data by using two data streams named Stream1 and Stream2. Stream1 will be used for purchase order data. Stream2 will be used for reference data. The reference data is stored in CSV files. You need to recommend an ingestion solution for each data stream. What solutions should you recommend?

15. Your company has a data team of Transact-SQL experts. You plan to ingest data from multiple sources into Azure Event Hubs. You need to recommend which technology the data team should use to move and query data from Event Hubs to Azure Storage. The solution must leverage the data team

16. You are developing an application that uses an Azure Kubernetes Service (AKS) cluster. You are troubleshooting a node issue. You need to connect to an AKS node by using SSH. Solution: You add an SSH key to the node, and then you create an SSH connection. Does this meet the goal?

17. You have Azure IoT Edge devices that generate streaming data. On the devices, you need to detect anomalies in the data by using Azure Machine Learning models. Once an anomaly is detected, the devices must add information about the anomaly to the Azure IoT Hub stream. Solution: You deploy Azure Stream Analytics as an IoT Edge module. Does this meet the goal?

18. You have Azure IoT Edge devices that generate streaming data. On the devices, you need to detect anomalies in the data by using Azure Machine Learning models. Once an anomaly is detected, the devices must add information about the anomaly to the Azure IoT Hub stream. Solution: You deploy Azure Functions as an IoT Edge module. Does this meet the goal?

19. Your company has factories in 10 countries. Each factory contains several thousand IoT devices. The devices present status and trending data on a dashboard. You need to ingest the data from the IoT devices into a data warehouse. Which Microsoft Azure technologies should you use?.

20. You have several AI applications that use an Azure Kubernetes Service (AKS) cluster. The cluster supports a maximum of 32 nodes. You discover that occasionally and unpredictably, the application requires more than 32 nodes. You need to recommend a solution to handle the unpredictable application load. Which scaling method should you recommend?

21. You need to build an API pipeline that analyzes streaming data. The pipeline will perform the following: Visual text recognition Audio transcription Sentiment analysis Face detection Which Azure Cognitive Services should you use in the pipeline?