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?

• A.Azure Kubernetes Service (AKS)
• B.Azure Pipelines
• C.Azure Data Factory
• D.Azure Container Instances

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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's existing skills.
What is the best recommendation to achieve the goal? More than one answer choice may achieve the goal.

• A.Azure Notification Hubs
• B.Azure Event Grid
• C.Apache Kafka streams
• D.Azure Stream Analytics

Correct Answer: B

Event Hubs Capture is the easiest way to automatically deliver streamed data in Event Hubs to an Azure Blob storage or Azure Data Lake store. You can subsequently process and deliver the data to any other storage destinations of your choice, such as SQL Data Warehouse or Cosmos DB.
You to capture data from your event hub into a SQL data warehouse by using an Azure function triggered by an event grid.
Example:

First, you create an event hub with the Capture feature enabled and set an Azure blob storage as the destination. Data generated by WindTurbineGenerator is streamed into the event hub and is automatically captured into Azure Storage as Avro files.
Next, you create an Azure Event Grid subscription with the Event Hubs namespace as its source and the Azure Function endpoint as its destination.
Whenever a new Avro file is delivered to the Azure Storage blob by the Event Hubs Capture feature, Event Grid notifies the Azure Function with the blob URI. The Function then migrates data from the blob to a SQL data warehouse.
References:
https://docs.microsoft.com/en-us/azure/event-hubs/store-captured-data-data-warehouse

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You are designing an AI solution that will be used to find buildings in aerial pictures.
Users will upload the pictures to an Azure Storage account. A separate JSON document will contain for the pictures.
The solution must meet the following requirements:
* Store metadata for the pictures in a data store.
* Run a custom vision Azure Machine Learning module to identify the buildings in a picture and the position of the buildings' edges.
* Run a custom mathematical module to calculate the dimensions of the buildings in a picture based on the metadata and data from the vision module.
You need to identify which Azure infrastructure services are used for each component of the AI workflow.
The solution must execute as quickly as possible.
What should you identify? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Correct Answer:

Explanation

Box 1: Azure Blob Storage
Containers and blobs support custom metadata, represented as HTTP headers.
Box 2: NV
The NV-series enables powerful remote visualisation workloads and other graphics-intensive applications backed by the NVIDIA Tesla M60 GPU.
Note: The N-series is a family of Azure Virtual Machines with GPU capabilities. GPUs are ideal for compute and graphics-intensive workloads, helping customers to fuel innovation through scenarios like high-end remote visualisation, deep learning and predictive analytics.
Box 3: F
F-series VMs feature a higher CPU-to-memory ratio. Example use cases include batch processing, web servers, analytics and gaming.
Incorrect:
A-series VMs have CPU performance and memory configurations best suited for entry level workloads like development and test.
References:
https://azure.microsoft.com/en-in/pricing/details/virtual-machines/series/

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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?

• A.an Azure HDInsight Storm cluster
• B.Azure Notification Hubs
• C.an Azure HDInsight Hadoop cluster
• D.an Azure HDInsight R cluster

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You plan to use the Microsoft 8ot Framework to develop bots that will be deployed by using the Azure Bot Service.
You need to configure the Azure Bot Service to support the following types of bots:
*Bots that use Azure Functions
*Bots that set a timer
Which template should you use for each bot type? To answer, drag the appropriate templates to the correct bot types. Each template may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Correct Answer:

Explanation

References:
https://docs.microsoft.com/en-us/azure/bot-service/bot-service-concept-templates?view=azure-bot-service-3.0

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