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NEW QUESTION: 1
Your customer wants to upgrade their existing HP 3PAR S-Class array. A competitor has suggested a non-HP storage array. Your conversation with the customer focuses on the notable architectural enhancements within the new generation of HP 3PAR StoreServ 7400 platforms.
Which enhancements should you focus on? (Select two.)
A. Write cache mirroring is now implemented N+N across the 7x00 controllers.
B. The tightly coupled cache-coherent clustering is built into the Gen4 ASIC.
C. New HP StoreServ 7x00 now supports 16Gb Fibre Channel speeds.
D. The 64-bit OS enables scalable headroom for performance and capacity.
E. Logical Disk regions have increased from 256 MB and are now 1 GB in size.
Answer: A,D

NEW QUESTION: 2
What can be done with the IBM Tivoli Storage Manager (TSM) Client Configuration wizard?
A. set up client sessioninitiation for serveronly
B. define a client schedule
C. configure the web client
D. configure the TSM Operations Center
Answer: C
Explanation:
Reference:
https://publib.boulder.ibm.com/infocenter/tsminfo/v6/index.jsp?topic=%2Fcom.ibm.itsm.client.doc%2Fc_cfg_fastba
ckwiz.html

NEW QUESTION: 3
You need to maximize performance of video delivery.
Which code segment should you use as the body of the GetVideoStream function in the Video-Controller class?

A. Option C
B. Option D
C. Option B
D. Option A
Answer: B

NEW QUESTION: 4
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a Python script named train.py in a local folder named scripts. The script trains a regression model by using scikit-learn. The script includes code to load a training data file which is also located in the scripts folder.
You must run the script as an Azure ML experiment on a compute cluster named aml-compute.
You need to configure the run to ensure that the environment includes the required packages for model training. You have instantiated a variable named aml-compute that references the target compute cluster.
Solution: Run the following code:

Does the solution meet the goal?
A. Yes
B. No
Answer: B
Explanation:
Explanation
The scikit-learn estimator provides a simple way of launching a scikit-learn training job on a compute target. It is implemented through the SKLearn class, which can be used to support single-node CPU training.
Example:
from azureml.train.sklearn import SKLearn
}
estimator = SKLearn(source_directory=project_folder,
compute_target=compute_target,
entry_script='train_iris.py'
)
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-train-scikit-learn