Predicting agricultural yields based on weather conditions and soil quality measurements is an example of which type of machine learning model?
b
HOTSPOT
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
In a machine learning model, the data that is used as inputs are called ________.
Select the answer that correctly completes the sentence.
b
The given answer is wrong. It should be C. variables, a.k.a. features.
In a machine learning model, the data used as inputs are called variables (also known as features or input variables). These variables represent the attributes or properties of the data that the model uses to make predictions or classifications.
• Dataset refers to the collection of data as a whole.
• Labels are the target outcomes or the output variables in supervised learning, which the model tries to predict.
HOTSPOT For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Hot Area:
The translator service provides multi-language support for text translation, transliteration, language detection, and dictionaries.
Speech-to-Text, also known as automatic speech recognition (ASR), is a feature of Speech Services that provides transcription.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/Translator/translator-info-overview https://docs.microsoft.com/en-us/legal/cognitive-services/speech-service/speech-to-text/transparency-note
Which AI service can you use to interpret the meaning of a user input such as `Call me back later?`
d
Language Understanding (LUIS) is a cloud-based AI service, that applies custom machine-learning intelligence to a user's conversational, natural language text to predict overall meaning, and pull out relevant, detailed information.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/what-is-luis
HOTSPOT For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Hot Area:
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/get-started-build-detector
HOTSPOT
Select the answer that correctly completes the sentence.
The given answer is wrong. It should be analysis.
An AI solution that provides feedback on elements like exposure, noise, and occlusion in portrait photographs involves assessing and understanding the quality of the face in the image, which is an example of facial analysis. This is different from facial detection (which identifies the presence of a face) or facial recognition (which identifies or verifies the identity of a person).
As per the MS website, it is detection. Answer is correct, https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/concept-face-detection
HOTSPOT
Select the answer that correctly completes the sentence.
HOTSPOT You have a database that contains a list of employees and their photos.
You are tagging new photos of the employees.
For each of the following statements select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Hot Area:
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/face/overview https://docs.microsoft.com/en-us/azure/cognitive-services/face/concepts/face-detection
HOTSPOT To complete the sentence, select the appropriate option in the answer area.
Hot Area:
With Microsoft's Conversational AI tools developers can build, connect, deploy, and manage intelligent bots that naturally interact with their users on a website, app, Cortana, Microsoft Teams, Skype, Facebook Messenger, Slack, and more.
Reference:
https://azure.microsoft.com/en-in/blog/microsoft-conversational-ai-tools-enable-developers-to-build-connect-and-manage-intelligent-bots