AI-900 Free Practice Test

- (Topic 5)
You need to track multiple versions of a model that was trained by using Azure Machine Learning. What should you do?

1. A. Provision an inference duster.
2. B. Explain the model.
3. C. Register the model.
4. D. Register the training data.

Correct Answer: C

DRAG DROP - (Topic 4)
Match the types of natural languages processing workloads to the appropriate scenarios.
To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.

Solution:
Box 1: Entity recognition
Classify a broad range of entities in text, such as people, places, organisations, date/time and percentages, using named entity recognition. Whereas:- Get a list of relevant phrases that best describe the subject of each record using key phrase extraction.
Box 2: Sentiment analysis
Sentiment Analysis is the process of determining whether a piece of writing is positive, negative or neutral.
Box 3: Translation
Using Microsoft’s Translator text API
This versatile API from Microsoft can be used for the following: Translate text from one language to another.
Transliterate text from one script to another. Detecting language of the input text.
Find alternate translations to specific text. Determine the sentence length.

Does this meet the goal?

1. A. Yes
2. B. No

Correct Answer: A

HOTSPOT - (Topic 2)
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Solution:
Box 1: No
The validation dataset is different from the test dataset that is held back from the training of the model.
Box 2: Yes
A validation dataset is a sample of data that is used to give an estimate of model skill while tuning model’s hyperparameters.
Box 3: No
The Test Dataset, not the validation set, used for this. The Test Dataset is a sample of data used to provide an unbiased evaluation of a final model fit on the training dataset.

Does this meet the goal?

1. A. Yes
2. B. No

Correct Answer: A

HOTSPOT - (Topic 5)
Select the answer that correctly completes the sentence.

Solution:


Does this meet the goal?

1. A. Yes
2. B. No

Correct Answer: A

HOTSPOT - (Topic 5)
Select the answer that correctly completes the sentence.

Solution:


Does this meet the goal?

1. A. Yes
2. B. No

Correct Answer: A