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NEW QUESTION: 1
Which functionalities are provided by the Agentless Management Service? (Select two. )
A. Provides WBEM indications to HP SIM
B. Collects operating system level information
C. Provides host-level information to the iLO firmware
D. Replicates SNMP configuration to multiple iLO cards
E. Establishes a link to HP Insight Remote Support
Answer: B,C

NEW QUESTION: 2
Which two methods of deployment can you use when implementing NAT64? (Choose two.)
A. stateless
B. functional
C. stateful
D. static
E. dynamic
F. automatic
G. manual
Answer: A,C
Explanation:
Explanation/Reference:
Explanation:
While stateful and stateless NAT64 perform the task of translating IPv4 packets into IPv6 packets and vice versa, there are important differences. The following table provides a high-level overview of the most relevant differences.
Table 2. Differences Between Stateless NAT64 and Stateful NAT64

Reference: http://www.cisco.com/c/en/us/products/collateral/ios-nx-os-software/enterprise-ipv6-solution/ white_paper_c11-676277.html

NEW QUESTION: 3
A VMFS volume can be extended over__physical storage extents, including SAN LUNs and local storage.
A. 0
B. 1
C. 2
D. 3
Answer: D
Explanation:
A VMFS volume can be extended over 32 physical storage extents, including SAN LUNs and local storage. This allows pooling of storage and flexibility in creating the storage volume necessary for your virtual machine. With the new ESX3 Logical Volume Manager (LVM), you can extend a volume while virtual machines are running on the volume. This lets you add new space to your VMFS volumes as your virtual machine needs it. page 22 SAN Configuration Guide

NEW QUESTION: 4
You are creating a new Azure Machine Learning pipeline using the designer.
The pipeline must train a model using data in a comma-separated values (CSV) file that is published on a website. You have not created a dataset for this file.
You need to ingest the data from the CSV file into the designer pipeline using the minimal administrative effort.
Which module should you add to the pipeline in Designer?
A. Import Data
B. Dataset
C. Convert to CSV
D. Enter Data Manually
D
Answer: B
Explanation:
Explanation
The preferred way to provide data to a pipeline is a Dataset object. The Dataset object points to data that lives in or is accessible from a datastore or at a Web URL. The Dataset class is abstract, so you will create an instance of either a FileDataset (referring to one or more files) or a TabularDataset that's created by from one or more files with delimited columns of data.
Example:
from azureml.core import Dataset
iris_tabular_dataset = Dataset.Tabular.from_delimited_files([(def_blob_store, 'train-dataset/iris.csv')]) Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-create-your-first-pipeline