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NEW QUESTION: 1
You train a model and register it in your Azure Machine Learning workspace. You are ready to deploy the model as a real-time web service.
You deploy the model to an Azure Kubernetes Service (AKS) inference cluster, but the deployment fails because an error occurs when the service runs the entry script that is associated with the model deployment.
You need to debug the error by iteratively modifying the code and reloading the service, without requiring a re-deployment of the service for each code update.
What should you do?
A. Register a new version of the model and update the entry script to load the new version of the model from its registered path.
B. Create an Azure Container Instances (ACI) web service deployment configuration and deploy the model on ACI.
C. Create a local web service deployment configuration and deploy the model to a local Docker container.
D. Modify the AKS service deployment configuration to enable application insights and re-deploy to AKS.
E. Add a breakpoint to the first line of the entry script and redeploy the service to AKS.
Answer: B
Explanation:
How to work around or solve common Docker deployment errors with Azure Container Instances (ACI) and Azure Kubernetes Service (AKS) using Azure Machine Learning.
The recommended and the most up to date approach for model deployment is via the Model.deploy() API using an Environment object as an input parameter. In this case our service will create a base docker image for you during deployment stage and mount the required models all in one call. The basic deployment tasks are:
1. Register the model in the workspace model registry.
2. Define Inference Configuration:
a. Create an Environment object based on the dependencies you specify in the environment yaml file or use one of our procured environments.
b. Create an inference configuration (InferenceConfig object) based on the environment and the scoring script.
3. Deploy the model to Azure Container Instance (ACI) service or to Azure Kubernetes Service (AKS).

NEW QUESTION: 2
You work in a company which uses SQL Server 2008. You are the administrator of the company database.
Now you are in charge of a SQL Server 2008 instance.
According to the company requirement, you intend to perform an installation of an instance of SQL Server
Reporting Services (SSRS) to the same machine.
Now your company CIO wants version histories of all deployed reports can be kept.
As a technical support, what should you do to ensure this?
A. You should use the Internet Information Services default Web site to install the SSRS instance
B. You should configure the SSRS database, make it use Native mode
C. You should use the http.sys listener to install the SSRS instance.
D. You should configure the SSRS database, make it use SharePoint integrated mode
Answer: D
Explanation:
When created for SharePoint integrated mode, the report server database stores server properties, report execution snapshots, report history, subscription definitions, and schedules. It stores a secondary copy of reports, report models, shared data sources, and resources to improve processing performance on the server. Primary storage for report documents is in the SharePoint content databases.

NEW QUESTION: 3
Click the Exhibit button.
Exhibit:

Which EVPN/VXLAN scenario is shown in the exhibit for QFX5100-1?
A. multihoming
B. VPLS active-active
C. MC-LAG
D. MSTP
Answer: A