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NEW QUESTION: 1
You need to model several SRDF/A workloads that require data consistency across all sessions. How should the multiple SRDF/A sessions be modeled?
A. Use BCSD and link SRDF/A sessions by creating a Logical Relationship
B. Use SymmMerge and link SRDF/A sessions by creating a Logical Relationship
C. Use SymmMerge and link SRDF/A sessions by creating a Composite Group
D. Use BCSD and link SRDF/A sessions by creating a Composite Group
Answer: D
NEW QUESTION: 2
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, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
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 an Azure Machine Learning model as an IoT Edge module.
Does this meet the goal?
A. No
B. Yes
Answer: B
Explanation:
Explanation
You can use IoT Edge modules to deploy code that implements your business logic directly to your IoT Edge devices. For example, you can deploy an Azure Machine Learning module that predicts when a device fails based on simulated machine temperature data.
References:
https://docs.microsoft.com/bs-latn-ba/azure/iot-edge/tutorial-deploy-machine-learning
NEW QUESTION: 3
Case Study 6
LabelMaker app
Coho Winery produces bottles, and distributes a variety of wines globally. You are developer implementing highly scalable and resilient applications to support online order processing by using Azure solutions.
Coho Winery has a LabelMaker application that prints labels for wine bottles. The application sends data to several printers. The application consists of five modules that run independently on virtual machines (VMs). Coho Winery plans to move the application to Azure and continue to support label creation.
External partners send data to the LabelMaker application to include artwork and text for custom label designs.
Data
You identify the following requirements for data management and manipulation:
* Order data is stored as nonrelational JSON and must be queried using Structured Query Language (SQL).
* Changes to the Order data must reflect immediately across all partitions. All reads to the Order data must fetch the most recent writes.
You have the following security requirements:
* Users of Coho Winery applications must be able to provide access to documents, resources, and applications to external partners.
* External partners must use their own credentials and authenticate with their organization's identity management solution.
* External partner logins must be audited monthly for application use by a user account administrator to maintain company compliance.
* Storage of e-commerce application settings must be maintained in Azure Key Vault.
* E-commerce application sign-ins must be secured by using Azure App Service authentication and Azure Active Directory (AAD).
* Conditional access policies must be applied at the application level to protect company content
* The LabelMaker applications must be secured by using an AAD account that has full access to all namespaces of the Azure Kubernetes Service (AKS) cluster.
LabelMaker app
Azure Monitor Container Health must be used to monitor the performance of workloads that are deployed to Kubernetes environments and hosted on Azure Kubernetes Service (AKS).
You must use Azure Container Registry to publish images that support the AKS deployment.
Calls to the Printer API App fail periodically due to printer communication timeouts.
Printer communications timeouts occur after 10 seconds. The label printer must only receive up to 5 attempts within one minute.
The order workflow fails to run upon initial deployment to Azure.
Order .json
You need to troubleshoot the order workflow.
What should you do? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Review the API connections.
B. Review the trigger history.
C. Review the activity log.
D. Review the run history.
Answer: B,C
Explanation:
Scenario: The order workflow fails to run upon initial deployment to Azure.
Deployment errors arise from conditions that occur during the deployment process.
They appear in the activity log.
References:
https://docs.microsoft.com/en-us/azure/azure-resource-manager/resource-group-audit
NEW QUESTION: 4
What is meant by the term "a placing of ordinary shares"?
A. Selling new ordinary shares to a financial institution on a pre-arranged basis.
B. Selling new ordinary shares directly to the public.
C. Selling new ordinary shares to existing shareholders.
D. Selling existing ordinary shares to new investors through a stock exchange.
Answer: A