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NEW QUESTION: 1
You have an Azure Databricks workspace named workspace1 in the Standard pricing tier.
You need to configure workspace1 to support autoscaling all-purpose clusters. The solution must meet the following requirements:
Automatically scale down workers when the cluster is underutilized for three minutes.
Minimize the time it takes to scale to the maximum number of workers.
Minimize costs.
What should you do first?
A. Set Cluster Mode to High Concurrency.
B. Enable container services for workspace1.
C. Upgrade workspace1 to the Premium pricing tier.
D. Create a cluster policy in workspace1.
Answer: C
Explanation:
For clusters running Databricks Runtime 6.4 and above, optimized autoscaling is used by all-purpose clusters in the Premium plan Optimized autoscaling:
Scales up from min to max in 2 steps.
Can scale down even if the cluster is not idle by looking at shuffle file state.
Scales down based on a percentage of current nodes.
On job clusters, scales down if the cluster is underutilized over the last 40 seconds.
On all-purpose clusters, scales down if the cluster is underutilized over the last 150 seconds.
The spark.databricks.aggressiveWindowDownS Spark configuration property specifies in seconds how often a cluster makes down-scaling decisions. Increasing the value causes a cluster to scale down more slowly. The maximum value is 600.
Note: Standard autoscaling
Starts with adding 8 nodes. Thereafter, scales up exponentially, but can take many steps to reach the max. You can customize the first step by setting the spark.databricks.autoscaling.standardFirstStepUp Spark configuration property.
Scales down only when the cluster is completely idle and it has been underutilized for the last 10 minutes.
Scales down exponentially, starting with 1 node.
Reference:
https://docs.databricks.com/clusters/configure.html

NEW QUESTION: 2
Scenario: Users complain that it is taking significantly longer to see their Desktop OS machines compared to yesterday. The Helpdesk team is able to see active connections while the users are waiting.
What could a Citrix Administrator view to compare the Desktop OS machine launch times?
A. Logon duration details from Citrix Director
B. Event log on the Citrix StoreFront server
C. AAA logs in NetScaler Gateway
D. Configuration logging report on Citrix Studio
Answer: A

NEW QUESTION: 3
The ufsrestore command is used to extract the whole content of a file system (stored to tape with ufsdump) onto another file system. Which statement about inode allocation is true?
A. The new file system's inodes are allocated successively as the files are restored, independent of the inode numbers recorded to tape.
B. The ufsrestore tries to allocate inode numbers for the restored files as they are recorded on tape and evades to new, unallocated inodes whenever an inode number is already allocated in the file system.
C. The inodes are allocated such that the inode numbers after the restore are identical to the inode numbers recorded on tape, effectively overwriting inodes that had been allocated before the restore.
D. The ufsrestore consults the inode map in each cylinder group. If an inode to be restored is already allocated, ufsrestore quits with a fail message.
Answer: A