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NEW QUESTION: 1
Which two statements are true about variable extent size support for large ASM files?
(Choose two.)
A. The metadata used to track extents in SGA is reduced.
B. Resync operations are completed faster when a disk comes online after being taken offline.
C. Performance improves in a stretch cluster configuration by reading from a local copy of an extent.
D. An ASM Instance automatically allocates an appropriate extent size.
E. Rebalance operations are completed faster than with a fixed extent size
Answer: A,D
Explanation:
A: Variable size extents enable support for larger ASM datafiles, reduce SGA memory requirements for very large databases (A), and improve performance for file create and open operations.
C: You don't have to worry about the sizes; the ASM instance automatically allocates the appropriate extent size.
Note:
* The contents of ASM files are stored in a disk group as a set, or collection, of data extents that are stored on individual disks within disk groups. Each extent resides on an individual disk. Extents consist of one or more allocation units (AU). To accommodate increasingly larger files, ASM uses variable size extents.
* The size of the extent map that defines a file can be smaller by a factor of 8 and 64 depending on the file size. The initial extent size is equal to the allocation unit size and it increases by a factor of 8 and 64 at predefined thresholds. This feature is automatic for newly created and resized datafiles when the disk group compatibility attributes are set to Oracle Release 11 or higher.

NEW QUESTION: 2







Why did Branch1 router lose WAN connectivity with R1 router?
A. The PPP multilink group is misconfigured on the Eranch1 serial interfaces.
B. The IP address is misconfigured on PPP multilink interface on the Branch1 router.
C. The PPP multilink group is misconfigured on the R1 serial interfaces.
D. The Branch1 serial interfaces are placed in a shutdown condition.
Answer: B
Explanation:
Explanation
This question clearly stated there is a WAN connectivity issue between R1 and Branch1 so we should check both of them with the "show ip interface brief" command. On R1:

On Branch1:

We can see that although the Multilink1 interfaces are in "up/up" state but they are not in the same subnet.
According to the IP address scheme shown on the topology we can deduce the Multilink interface on Branch1 has been misconfigured, it should be 192.168.14.2 instead.

NEW QUESTION: 3
You have a model with a large difference between the training and validation error values.
You must create a new model and perform cross-validation.
You need to identify a parameter set for the new model using Azure Machine Learning Studio.
Which module you should use for each step? To answer, drag the appropriate modules to the correct steps.
Each module may be used once or more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: Split data
Box 2: Partition and Sample
Box 3: Two-Class Boosted Decision Tree
Box 4: Tune Model Hyperparameters
Integrated train and tune: You configure a set of parameters to use, and then let the module iterate over multiple combinations, measuring accuracy until it finds a "best" model. With most learner modules, you can choose which parameters should be changed during the training process, and which should remain fixed.
We recommend that you use Cross-Validate Model to establish the goodness of the model given the specified parameters. Use Tune Model Hyperparameters to identify the optimal parameters.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/partition-and-sample