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Topic 3: Misc. Questions
You are building a chatbot that will use question answering in Azure Cognitive Service for
Language.
You have a PDF named Docl.pdf that contains a product catalogue and a price list
You upload Docl.pdf and train the model.
During testing, users report that the chatbot responds correctly to the following question:
What is the price of < product>?
The chatbot fails to respond to the following question: How much does <product* cost?
You need to ensure that the chatbot responds correctly to both questions.
Solution: From Language Studio, you create an entity for cost, and then retrain and
republish the model.
Does this meet the goal?
A.
Yes
B.
No
No
Note: This question is part of a series of questions that present the same scenario.
Each question in the series contains a unique solution that might meet the stated
goals. Some question sets might have more than one correct solution, while others
might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a
result, these questions will not appear in the review screen.
You have an Azure Cognitive Search service.
During the past 12 months, query volume steadily increased.
You discover that some search query requests to the Cognitive Search service are being
throttled.
You need to reduce the likelihood that search query requests are throttled.
Solution: You enable customer-managed key (CMK) encryption.
Does this meet the goal?
A.
Yes
B.
No
No
Explanation:
Customer-managed key (CMK) encryption does not affect throttling.
Instead, you could migrate to a Cognitive Search service that uses a higher tier.
Note: A simple fix to most throttling issues is to throw more resources at the search service
(typically replicas for query-based throttling, or partitions for indexing-based throttling).
However, increasing replicas or partitions adds cost, which is why it is important to know
the reason why throttling is occurring at all.
Reference:
https://docs.microsoft.com/en-us/azure/search/search-performance-analysis
You are developing an internet-based training solution for remote learners.
Your company identifies that during the training, some learners leave their desk for long
periods or become distracted.
You need to use a video and audio feed from each learner’s computer to detect whether
the learner is present and paying attention. The solution must minimize development effort
and identify each learner.
Which Azure Cognitive Services service should you use for each requirement? To answer,
select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Select the answer that correctly completes the sentence.
You are developing a call to the Face API. The call must find similar faces from an existing
list named employeefaces. The employeefaces list contains 60,000 images.
How should you complete the body of the HTTP request? To answer, drag the appropriate
values to the correct targets. Each value may be used once, more than once, or not at all.
You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
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