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NEW QUESTION: 1
A query against the system catalog revealed that data for a table named SALES in a partitioned database is distributed as follows:
What can be done to improve the performance of a query that joins SALES and DATE_DIM tables (where SALES is a fact table and DATE_DIM is a dimension table) using the DATE_ID column?
A. Reload table SALES and use only one partition with a collocated join to the DATE_DIM table using the primary key DATE_ID.
B. Create a replicated table REPL_DATE_DIM from the DATE_DIM table, refresh REPL_DATE_DIM table, create index on DATE_ID column in theREPL_DATE_DIM table, and collect statistics on REPL_DATE_DIM table.
C. Create a replicated table REPL_SALES from the SALES table, refresh REPL_SALES table, create index on DATE_ID column in theREPL_SALES table, and collect statistics on REPL_SALES table.
D. Reload table DATE_DIM and use only one partition with a collocated join to the SALES table using the primary key DATE_ID.
Answer: B
NEW QUESTION: 2
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.
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.
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.
Answer: B
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/azure-monitor/learn/quick-collect-azurevm
NEW QUESTION: 3
The umbilical vein carries _____ blood.
A. Oxygenated
B. Deoxygenated
Answer: A
NEW QUESTION: 4
You created several resources in multiple Google Cloud projects. All projects are linked to different billing accounts. To better estimate future charges, you want to have a single visual representation of all costs incurred. You want to include new cost data as soon as possible. What should you do?
A. Use the Reports view in the Cloud Billing Console to view the desired cost information.
B. Configure Billing Data Export to BigQuery and visualize the data in Data Studio.
C. Fill all resources in the Pricing Calculator to get an estimate of the monthly cost.
D. Visit the Cost Table page to get a CSV export and visualize it using Data Studio.
Answer: B