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NEW QUESTION: 1
DRAG DROP
You implement the UM pilot.
You capture and analyze a network trace from the IP-PBX.
You discover that SIP/MTLS requests for TCP 5061 to EX1 are dropped.
You need to ensure that the IP-PBX can route calls successfully to the Exchange Server
2013 organization.
What should you do?
A. Deploy a server that has Exchange Server 2010 and the Unified Messaging server role installed.
B. Modify the SIP listening port on EX1.
C. Modify the IP-PBX to route calls to EX5 and EX6.
D. Modify the port used on the IP-PBX.
Answer: C
NEW QUESTION: 2
CORRECT TEXT
Answer:
Explanation:
Select the console on Corp1 router Configuring ACL Corp1>enable Corp1#configure terminal comment: To permit only Host C (192.168.33.3){source addr} to access finance server address
(172.22.242.23) {destination addr} on port number 80 (web) Corp1(config)#access-list 100 permit tcp host 192.168.33.3 host 172.22.242.23 eq 80 comment: To deny any source to access finance server address (172.22.242.23) {destination addr} on port number 80 (web) Corp1(config)#access-list 100 deny tcp any host 172.22.242.23 eq 80 comment: To permit ip protocol from any source to access any destination because of the implicit deny any any statement at the end of ACL. Corp1(config)#access-list 100 permit ip any any Applying the ACL on the Interface comment: Check show ip interface brief command to identify the interface type and number by checking the IP address configured. Corp1(config)#interface fa 0/1 If the ip address configured already is incorrect as well as the subnet mask. this should be corrected in order ACL to work type this commands at interface mode : no ip address 192.x.x.x 255.x.x.x (removes incorrect configured ipaddress and subnet mask) Configure Correct IP Address and subnet mask : ip address 172.22.242.30 255.255.255.240 ( range of address specified going to server is given as
172.22.242.17 - 172.22.242.30 ) comment: Place the ACL to check for packets going outside the interface towards the finance web server. Corp1(config-if)#ip access-group 100 out Corp1(config-if)#end Important: To save your running config to startup before exit. Corp1#copy running-config startup-config Verifying the Configuration : Step1: show ip interface brief command identifies the interface on which to apply access list. Step2: Click on each host A, B, C & D . Host opens a web browser page , Select address box of the web browser and type the ip address of finance web server(172.22.242.23) to test whether it permits /deny access to the finance web Server . Step 3: Only Host C (192.168.33.3) has access to the server . If the other host can also access then maybe something went wrong in your configuration . check whether you configured correctly and in order. Step 4: If only Host C (192.168.33.3) can access the Finance Web Server you can click on NEXT button to successfully submit the ACL SIM.
NEW QUESTION: 3
What show command can see vpn tunnel establish with traffic passing through.
A. (config-if)#
B. #show crypto ipsec sa
C. (config)# show crypto ipsec sa
Answer: C
NEW QUESTION: 4
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. Create a local web service deployment configuration and deploy the model to a local Docker container.
B. Create an Azure Container Instances (ACI) web service deployment configuration and deploy the model on ACI.
C. Modify the AKS service deployment configuration to enable application insights and re-deploy to AKS.
D. Add a breakpoint to the first line of the entry script and redeploy the service to AKS.
E. Register a new version of the model and update the entry script to load the new version of the model from its registered path.
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).
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Aalk - 2014-05-05 16:45:18
Plato - 2014-05-05 16:45:51
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Eleanore - 2014-09-28 16:36:48