You plan to deploy Azure IoT Edge devices. Each device will store more than 10,000 images locally. Each image is approximately 5 MB. You need to ensure that the images persist on the devices for 14 days. What should you use?
Correct Answer: C
Explanation Azure Blob Storage on IoT Edge provides a block blob and append blob storage solution at the edge. A blob storage module on your IoT Edge device behaves like an Azure blob service, except the blobs are stored locally on your IoT Edge device. This e is useful where data needs to be stored locally until it can be processed or transferred to the cloud. This data can be videos, images, finance data, hospital data, or any other unstructured data. References: https://docs.microsoft.com/en-us/azure/iot-edge/how-to-store-data-blob
Question 17
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen. 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 run the kubectl command, and then you create an SSH connection. Does this meet the goal?
Correct Answer: A
Question 18
You have Azure IoT Edge devices that collect measurements every 30 seconds. You plan to send the measurements to an Azure IoT hub. You need to process events in the cloud. What should you use?
Correct Answer: D
Use Azure Notebooks to develop a machine learning module and deploy it to a Linux device running Azure IoT Edge. You can use IoT Edge modules to deploy code that implements your business logic directly to your IoT Edge devices. Reference: https://docs.microsoft.com/en-us/azure/iot-edge/tutorial-deploy-machine-learning
Question 19
You need to design an application that will analyze real-time data from financial feeds. The data will be ingested into Azure loT Hub. The data must be processed as quickly as possible in the order in which it is ingested. Which service should you include in the design?
Correct Answer: D
Topic 1, Contoso Case Study: 1 Overview Contoso. Ltd. has an office in New York to serve its North American customers and an office in Paris to serve its European customers. Existing Environment Contoso. Ltd. has an office in New York to serve its North American customers and an office in Paris to serve its European customers. Infrastructure Each office has a small data center that hosts Active Directory services and a few off-the-shelf software solutions used by internal users. The network contains a single Active Directory forest that contains a single domain named contoso.com. Azure Active Directory (Azure AD) Connect is used to extend identity management to Azure. The company has an Azure subscription. Each office has an Azure ExpressRoute connection to the subscription. The New York office connects to a virtual network hosted in the US East 2 Azure region. The Paris office connects to a virtual network hosted in the West Europe Azure region. The New York office has an Azure Stack Development Kit (ASDK) deployment that is used for development and testing. Current Business Model Contoso has a web app named Bookings hosted in an App Service Environment (ASE). The ASE is in the virtual network in the East US 2 region. Contoso employees and customers use Bookings to reserve hotel rooms. Data Environment Bookings connects to a Microsoft SQL Server database named hotelDB in the New York office. The database has a view named vwAvailability that consolidates columns from three tables named Hotels, Rooms, and RoomAvailability. The database contains data that was collected during the last 20 years. Problem Statements Contoso identifies the following issues with its current business model: * European users report that access to Bookings is slow, and they lose customers who must wait on the phone while they search for available rooms. * Users report that Bookings was unavailable during an outage in the New York data center for more than 24 hours. Requirements Contoso identifies the following issues with its current business model: *European users report that access to Bookings is slow, and they lose customers who must wait on the phone while they search for available rooms. Business Goals *Users report that Bookings was unavailable during an outage in the New York data center for more than 24 hours. Contoso wants to provide a new version of the Bookings app that will provide a highly available, reliable service for booking travel packages by interacting with a chatbot named Butler. Contoso plans to move all production workloads to the cloud. Technical Requirements Contoso identifies the following technical requirements: *Data scientists must test Butler by using ASDK. *Whenever possible, solutions must minimize costs. *Butler must greet users by name when they first connect. *Butler must be able to handle up to 10.000 messages a day. *Butler must recognize the users' intent based on basic utterances. *All configurations to the Azure Bot Service must be logged centrally. *Whenever possible, solutions must use the principle of least privilege. *Internal users must be able to access Butler by using Microsoft Skype for Business. *The new Bookings app must provide a user interface where users can interact with Butler. *Users in an Azure AD group named KeyManagers must be able to manage keys for all Azure Cognitive Services. *Butler must provide users with the ability to reserve a room, cancel a reservation, and view existing reservations. *The new Bookings app must be available to users in North America and Europe if a single data center or Azure region fails. *For continuous improvement, you must be able to test Butler by sending sample utterances and comparing the chatbot's responses to the actua intent.
Question 20
You are designing an Azure infrastructure to support an Azure Machine Learning solution that will have multiple phases. The solution must meet the following requirements: * Securely query an on-premises database once a week to update product lists. * Access the data without using a gateway. * Orchestrate the separate phases. What should you use? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation Box 1: Azure App Service Hybrid Connections With Hybrid Connections, Azure websites and mobile services can access on-premises resources as if they were located on the same private network. Application admins thus have the flexibility to simply lift-and-shift specific most front-end tiers to Azure with minimal configuration changes, extending their enterprise apps for hybrid scenarios. Incorrect answer: The VPN connection solution both use gateways. Box 2: Machine Learning pipelines Typically when running machine learning algorithms, it involves a sequence of tasks including pre-processing, feature extraction, model fitting, and validation stages. For example, when classifying text documents might involve text segmentation and cleaning, extracting features, and training a classification model with cross-validation. Though there are many libraries we can use for each stage, connecting the dots is not as easy as it may look, especially with large-scale datasets. Most ML libraries are not designed for distributed computation or they do not provide native support for pipeline creation and tuning. Box 3: Azure Databricks References: https://azure.microsoft.com/is-is/blog/hybrid-connections-preview/ https://databricks.com/glossary/what-are-ml-pipelines
