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:
Does this meet the goal?
Correct Answer:
A
HOTSPOT - (Topic 5)
Select the answer that correctly completes the sentence.
Solution:
Does this meet the goal?
Correct Answer:
A
HOTSPOT - (Topic 5)
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
HOTSPOT - (Topic 5)
Select the answer that correctly completes the sentence.
Solution:
Does this meet the goal?
Correct Answer:
A
- (Topic 4)
You use natural language processing to process text from a Microsoft news story. You receive the output shown in the following exhibit.
Which type of natural languages processing was performed?
Correct Answer:
A
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview
You can provide the Text Analytics service with unstructured text and it will return a list of entities in the text that it recognizes. You can provide the Text Analytics service with unstructured text and it will return a list of entities in the text that it recognizes. The service can also provide links to more information about that entity on the web. An entity is essentially an item of a particular type or a category; and in some cases, subtype, such as those as shown in the following table.
https://docs.microsoft.com/en-us/learn/modules/analyze-text-with-text-analytics-service/2-get-started-azure