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NEW QUESTION: 1
Frequent verification and validation is key in Agile but each approach produces a very different result. Verification determines ________________ whereas validation determines
_____________.
A. if I am I building the right product | if I am I building the product right
B. if the product has passed unit testing | if the product has passed acceptance testing
C. if I am I building the product right | if I am I building the right product
D. if the product is "done" | if the product is "done-done"
Answer: C

NEW QUESTION: 2
For a machine learning progress, how should you split data for training and evaluation?
A. Randomly split the data into columns for training and columns for evaluation.
B. Use features for training and labels for evaluation.
C. Randomly split the data into rows for training and rows for evaluation.
D. Use labels for training and features for evaluation.
Answer: A
Explanation:
Explanation
In Azure Machine Learning, the percentage split is the available technique to split the data. In this technique, random data of a given percentage will be split to train and test data.
Reference:
https://www.sqlshack.com/prediction-in-azure-machine-learning/

NEW QUESTION: 3
HOTSPOT
Which Web Services Security (WS-Security) specification maintains a single authenticated identity across multiple dissimilar environments? Click on the correct specification in the image below.

Answer:
Explanation:

Explanation:
WS-Federation