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NEW QUESTION: 1
You add the virtual machines as managed nodes in Azure Automation State Configuration.
You need to configure the computer in Group7.
What should you do?
A. Modify the ConfigurationMode property of the Local Configuration Manager (LCM).
B. Modify the RefreshMode property of the Local Configuration Manager (LCM).
C. Install PowerShell Core.
D. Run the Register-AzureRmAutomationDscNode Azure Powershell cmdlet.
Answer: D
Explanation:
The Register-AzureRmAutomationDscNode cmdlet registers an Azure virtual machine as an APS Desired State Configuration (DSC) node in an Azure Automation account.
Scenario: The Azure DevOps organization includes:
The Docker extension
A deployment pool named Pool7 that contains 10 Azure virtual machines that run Windows Server 2016
References:
https://docs.microsoft.com/en-us/powershell/module/azurerm.automation/register-azurermautomationdscnode
NEW QUESTION: 2
Examine the parameters for your database instance:
Which three statements are true about the process of automatic optimization by using cardinality feedback?
(Choose three.)
A. The optimizer does not monitor cardinality feedback if dynamic sampling and multicolumn statistics are enabled.
B. After the optimizer identifies a query as a re-optimization candidate, statistics collected by the collectors are submitted to the optimizer.
C. The optimizer automatically changes a plan during subsequent execution of a SQL statement if there is a huge difference in optimizer estimates and execution statistics.
D. The optimizer enables monitoring for cardinality feedback after the first execution of a query.
E. The optimizer can re optimize a query only once using cardinality feedback.
Answer: A,C,D
Explanation:
Explanation
C: During the first execution of a SQL statement, an execution plan is generated as usual.
D: if multi-column statistics are not present for the relevant combination of columns, the optimizer can fall back on cardinality feedback.
(not B)* Cardinality feedback. This feature, enabled by default in 11.2, is intended to improve plans for repeated executions.
optimizer_dynamic_sampling
optimizer_features_enable
* dynamic sampling or multi-column statistics allow the optimizer to more accurately estimate selectivity of conjunctive predicates.
Note:
* OPTIMIZER_DYNAMIC_SAMPLING controls the level of dynamic sampling performed by the optimizer.
Range of values. 0 to 10
* Cardinality feedback was introduced in Oracle Database 11gR2. The purpose of this feature is to automatically improve plans for queries that are executed repeatedly, for which the optimizer does not estimate cardinalities in the plan properly. The optimizer may misestimate cardinalities for a variety of reasons, such as missing or inaccurate statistics, or complex predicates. Whatever the reason for the misestimate, cardinality feedback may be able to help.
NEW QUESTION: 3
A. Option B
B. Option D
C. Option C
D. Option A
Answer: C
Explanation:
When the user creates a new EBS volume or restores a volume from the snapshot, the back-end storage blocks are immediately allocated to the user EBS. However, the first time when the user is trying to access a block of the storage, it is recommended to either be wiped from the new volumes or instantiated from the snapshot (for restored volumes. before the user can access the block. This preliminary action takes time and can cause a 5 to 50 percent loss of IOPS for the volume when the block is accessed for the first time. To avoid this it is required to pre warm the volume. Pre-warming an EBS volume on a Linux instance requires that the user should unmount the blank device first and then write all the blocks on the device using a command, such as "dd".
NEW QUESTION: 4
Which XML tag is used to make use of protected features of the device?
A. <uses sdk>
B. <application>
C. <permission>
D. <uses-permission>
Answer: D
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