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NEW QUESTION: 1
What type of peer executes chaincode?
A. Chaincode is not executed by a peer.
B. Anchor peer
C. Chaincode is executed by the client
D. Endorsing Peer
E. Ordered Peer
Answer: D
Explanation:
Explanation
Endorsing Peer Endorser peer Peers can be marked as Endorser peer (i.e. Endorsing peer). Upon receiving the
"transaction invocation request" from the Client application the Endorser peer Validates the transaction. Check certificate details and roles of the requester. Executes the Chaincode (Smart Contract) and simulates the outcome of the transaction. But it does not update the ledger. At the end of the above two tasks the Endorser may approve to disapprove the transaction. As only the Endorser node executes the Chaincode (Smart Contract) so there is no necessity to install Chaincode in each and every node of the network which increases the scalability of the network.
NEW QUESTION: 2
Sie haben einen Azure Active Directory-Mandanten.
Sie müssen eine Richtlinie für den bedingten Zugriff erstellen, nach der alle Benutzer beim Zugriff auf das Azure-Portal die Multifaktorauthentifizierung verwenden müssen.
Welche drei Einstellungen sollten Sie konfigurieren? Um zu antworten, wählen Sie die entsprechenden Einstellungen im Antwortbereich.
Answer:
Explanation:
Explanation
Box 1: Assignments, Users and Groups
When you configure the sign-in risk policy, you need to set:
The users and groups the policy applies to: Select Individuals and Groups
Box 2:
When you configure the sign-in risk policy, you need to set the type of access you want to be enforced.
Box 3:
When you configure the sign-in risk policy, you need to set:
The type of access you want to be enforced when your sign-in risk level has been met:
References:
https://docs.microsoft.com/en-us/azure/active-directory/identity-protection/howto-user-risk-policy
NEW QUESTION: 3
SIMULATION
Use the following login credentials as needed:
To enter your username, place your cursor in the Sign in box and click on the username below.
To enter your password, place your cursor in the Enter password box and click on the password below.
Azure Username: [email protected]
Azure Password: Ag1Bh9!#Bd
The following information is for technical support purposes only:
Lab Instance: 10598168
You need to collect all the audit failure data from the security log of a virtual machine named VM1 to an Azure Storage account.
To complete this task, sign in to the Azure portal.
This task might take several minutes to complete You can perform other tasks while the task completes.
A. Step 1: Create a workspace
Azure Monitor can collect data directly from your Azure virtual machines into a Log Analytics workspace for detailed analysis and correlation.
1. In the Azure portal, select All services. In the list of resources, type Log Analytics. As you begin typing, the list filters based on your input. Select Log Analytics workspaces.
2. Select Create, and then select choices for the following items:
3. After providing the required information on the Log Analytics workspace pane, select OK.
While the information is verified and the workspace is created, you can track its progress under Notifications from the menu.
Step 2: Enable the Log Analytics VM Extension
Installing the Log Analytics VM extension for Windows and Linux allows Azure Monitor to collect data from your Azure VMs.
1. In the Azure portal, select All services found in the upper left-hand corner. In the list of resources, type Log Analytics. As you begin typing, the list filters based on your input. Select Log Analytics workspaces.
2. In your list of Log Analytics workspaces, select DefaultWorkspace (the name you created in step 1).
3. On the left-hand menu, under Workspace Data Sources, select Virtual machines.
4. In the list of Virtual machines, select a virtual machine you want to install the agent on. Notice that the Log Analytics connection status for the VM indicates that it is Not connected.
5. In the details for your virtual machine, select Connect. The agent is automatically installed and configured for your Log Analytics workspace. This process takes a few minutes, during which time the Status shows Connecting.
After you install and connect the agent, the Log Analytics connection status will be updated with This workspace.
B. Step 1: Create a workspace
Azure Monitor can collect data directly from your Azure virtual machines into a Log Analytics workspace for detailed analysis and correlation.
1. In the Azure portal, select All services. In the list of resources, type Log Analytics. As you begin typing, the list filters based on your input. Select Log Analytics workspaces.
2. Select Create, and then select choices for the following items:
3. After providing the required information on the Log Analytics workspace pane, select OK.
While the information is verified and the workspace is created, you can track its progress under Notifications from the menu.
Step 2: Enable the Log Analytics VM Extension
Installing the Log Analytics VM extension for Windows and Linux allows Azure Monitor to collect data from your Azure VMs.
1. In the Azure portal, select All services found in the upper left-hand corner. In the list of resources, type Log Analytics. As you begin typing, the list filters based on your input. Select Log Analytics workspaces.
2. In your list of Log Analytics workspaces, select DefaultWorkspace (the name you created in step 1).
3. On the left-hand menu, under Workspace Data Sources, select Virtual machines.
4. In the list of Virtual machines, select a virtual machine you want to install the agent on. Notice that the Log Analytics connection status for the VM indicates that it is Not connected.
After you install and connect the agent, the Log Analytics connection status will be updated with This workspace.
Answer: A
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