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NEW QUESTION: 1
Metformin (Glucophage) is administered to clients with type II diabetes mellitus. Metformin is an example of:
A. an antihyperglycemic agent.
B. a hypoglycemic agent.
C. a pancreatic alpha cell stimulant.
D. an insulin analogue.
Answer: A
Explanation:
This antihyperglycemic agent prevents hyperglycemia by reducing hepatic glucose output and decreasing glucose absorption from the gut. A hypoglycemic drug stimulates insulin production. Metformin is not a type of insulin. Metformin is not a stimulant of any pancreatic cell.Pharmacological Therapies
NEW QUESTION: 2
-- Exhibit- -- Exhibit -
Refer to the exhibits.
An LTM Specialist is reconfiguring a virtual server to redirect all clients to HTTPS. Testing reveals that the redirect is functioning incorrectly. As part of the troubleshooting process, the LTM Specialist performs a packet capture.
What is the issue?
A. The redirect is causing an infinite loop.
B. The virtual server is incorrectly processing the HTTP request.
C. The redirect is sending the client to the incorrect location.
D. The virtual server is missing a clientssl profile.
Answer: C
NEW QUESTION: 3
To complete the sentence, select the appropriate option in the answer area.
Answer:
Explanation:
Explanation:
In machine learning, if you have labeled data, that means your data is marked up, or annotated, to show the target, which is the answer you want your machine learning model to predict.
In general, data labeling can refer to tasks that include data tagging, annotation, classification, moderation, transcription, or processing.
Incorrect Answers:
Not features: In machine learning and statistics, feature selection is the process of selecting a subset of relevant, useful features to use in building an analytical model. Feature selection helps narrow the field of data to the most valuable inputs. Narrowing the field of data helps reduce noise and improve training performance.
Reference:
https://www.cloudfactory.com/data-labeling-guide
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