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NEW QUESTION: 1
Given the business use case:
'New Trucks' runs a fleet of trucks in a rental business In the U.S. The majority of the trucks are owned; however, in some cases, 'New Truck' may procure other trucks by renting them from third parties to their customers. When trucks are leased, the internal source code is 'L'. When trucks are owned, the internal source code is 'O'. This identifies different accounts used for the Journal entry. Customers sign a contract to initiate the truck rental for a specified duration period. The insurance fee is included in the contract and recognized over the rental period. For maintenance of the trucks, the "New Trucks* company has a subsidiary company
'Fix Trucks' that maintains its own profit and loss entity. To track all revenue, discounts, and maintenance expenses, 'New Trucks' needs to be able to view: total maintenance fee, total outstanding receivables, rental payment discounts, and total accrued and recognized insurance fee income.
How do you set up an account rule that is based on leased and owned trucks?
A. Set up an account source in the source system file and derive the value.
B. Set up a value set rule.
C. Set up a mapping set rule.
D. Set up a lookup value.
Answer: C
NEW QUESTION: 2
Which two statements are true about Highly Available vSphere Auto Deploy infrastructure? (Choose two.)
A. It requires two or more Auto Deploy servers.
B. It is a prerequisite for using vSphere Auto Deploy with stateful install.
C. It helps prevent data loss.
D. It is a prerequisite for using vSphere Auto Deploy with stateless caching.
Answer: C,D
Explanation:
Explanation/Reference:
Explanation:
In many production situations, a highly available Auto Deploy infrastructure is required to prevent data loss.
Such an infrastructure is also a prerequisite for using Auto Deploy with stateless caching.
Reference:
https://docs.vmware.com/en/VMware-vSphere/5.5/com.vmware.vsphere.install.doc/GUID-5E99987C-
9083-47E8-9282-08CD1C8830C8.html
NEW QUESTION: 3
Your company has a standard power scheme for the sales team. You are replacing a laptop for a sale associate.
You import the power scheme onto the new laptop.
You need to apply the power scheme.
What should you do?
A. Run the powercfg /S command.
B. Run the gpupdate /F command.
C. Modify the advanced power settings.
D. Modify the power scheme under Power and Sleep settings.
Answer: A
Explanation:
To Import a Power Plan
1. Open an elevated command prompt.2. Type the command below into the command prompt, and press Enter to export the power plan. (see screenshot below)
http://www.tenforums.com/images/smilies/arrow.pngpowercfg -import "Full path of .pow file"
Note Note Substitute Full path of .pow file in the command above with the actual full path of the .pow file of the power plan you exported in Option One.For example: powercfg -import "%UserProfile%\Desktop\PowerPlanBackup.pow"
Click image for larger version.
Name: Import_Power_Plan.png Views: 43 Size: 17.9 KB ID: 68738
4. When finished, you can close the command prompt if you like.5. Users on the PC will now be able to select the imported power plan as their active power plan.
NEW QUESTION: 4
会社のMicrosoft Azure Databricks環境を管理します。プライベートのAzure Blob Storageアカウントにアクセスできる必要があります。データは、すべてのAzure Databricksワークスペースで使用できる必要があります。データアクセスを提供する必要があります。
順番に実行する必要がある3つのアクションはどれですか？回答するには、適切なアクションをアクションのリストから回答エリアに移動し、正しい順序に並べます。
Answer:
Explanation:
Explanation
Step 1: Create a secret scope
Step 2: Add secrets to the scope
Note: dbutils.secrets.get(scope = "<scope-name>", key = "<key-name>") gets the key that has been stored as a secret in a secret scope.
Step 3: Mount the Azure Blob Storage container
You can mount a Blob Storage container or a folder inside a container through Databricks File System - DBFS. The mount is a pointer to a Blob Storage container, so the data is never synced locally.
Note: To mount a Blob Storage container or a folder inside a container, use the following command:
Python
dbutils.fs.mount(
source = "wasbs://<your-container-name>@<your-storage-account-name>.blob.core.windows.net", mount_point = "/mnt/<mount-name>", extra_configs = {"<conf-key>":dbutils.secrets.get(scope = "<scope-name>", key = "<key-name>")}) where:
dbutils.secrets.get(scope = "<scope-name>", key = "<key-name>") gets the key that has been stored as a secret in a secret scope.
References:
https://docs.databricks.com/spark/latest/data-sources/azure/azure-storage.html