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NEW QUESTION: 1
Which information uniquely identifies a distributed thread?
A. The 'ID' field in the -DISPLAY THREAD output.
B. The 'ASID' field in the -DISPLAY THREAD output.
C. The 'REG' field in the -DISPLAY THREAD output.
D. The TOKEN' field in the -DISPLAY THREAD output.
Answer: D
Explanation:
Reference:http://www01.ibm.com/support/knowledgecenter/SSEPEK_10.0.0/com.ibm.db2z10.doc.comref/src/tpc /db2z_cmd_cancelthread.dita(thread (token))

NEW QUESTION: 2
What happens when an 802.11b node starts broadcasting within the range of an 802.llg access point?
A. Both the node and the access point will be unable to transmit.
B. The node will transmit, but the access point will be unable to receive.
C. A connection will be established.
D. The access point will transmit, but the node will be unable to receive.
Answer: C
Explanation:
Explanation/Reference:
802.11g hardware is fully backward compatible with 802.11b hardware.

NEW QUESTION: 3
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. Convert to CSV
B. Enter Data Manually
D
C. Dataset
D. Import Data
Answer: C
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