DRAG DROP - (Topic 1)
Match the types of AI 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 3: Natural language processing
Natural language processing (NLP) is used for tasks such as sentiment analysis, topic detection, language detection, key phrase extraction, and document categorization.
Does this meet the goal?
Correct Answer:
A
- (Topic 3)
In which two scenarios can you use the Form Recognizer service? Each correct answer
presents a complete solution.
NOTE: Each correct selection is worth one point.
Correct Answer:
AD
Reference:
https://azure.microsoft.com/en-gb/services/cognitive-services/form-recognizer/#features
- (Topic 5)
You have a bot that identifies the brand names of products in images of supermarket shelves.
Which service does the bot use?
Correct Answer:
B
HOTSPOT - (Topic 3)
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:
Does this meet the goal?
Correct Answer:
A
- (Topic 2)
You have the Predicted vs. True chart shown in the following exhibit.
Which type of model is the chart used to evaluate?
Correct Answer:
B
What is a Predicted vs. True chart?
Predicted vs. True shows the relationship between a predicted value and its correlating true value for a regression problem. This graph can be used to measure performance of a model as the closer to the y=x line the predicted values are, the better the accuracy of a predictive model.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-understand-automated-m
