You want to create a model to predict sales of icecream based on historical data that includes daily icecream sales totals and weather measurements.Which azure service should you use?
Azure machine learning/ language/azure bot
Azure machine learning
Which of these methods used to generate additional features ?
1.Model evaluation
2.Fearure engineering
3. Feature selection
4. Model training
Feature engineering
Automated ML can automatically infer training data from usecase provided
False
What metrics can u use to evaluate a regression model?
Root mean square error
Coefficient of determination
Detecting a change in hospital infection rates is scenario of conversational AI
False
If in language understanding application you want users to be able to ask questions like which act is playing on main stage ,this question is an example of what
1.utterance
2.entity
3.intent
4.domain
- Utterance (is specific way a user might phrase a question or statement.
Intent represent user goal,while entities are specific piece of information extracted from utterance
You are developing an AI SYSTem and encountered a situation where the ai system should be ingested with usual and missing values.which microsoft guiding principle for responsible AI YOU SHOULD consider?
A. Inclusiveness
B. Reliability and safety
c.fairness
Reliability and safety
While presenting at a conference,your session is transcribed into subtitles for the audience in real time.this is an example of
1.sentiment analysis
2. Speech recognition
3.speech synthesis
4.translation
Speech recognition
Which azure language in foundry tools feature allows you to analyze written articles to extract information and concepts for classification purposes
Named entity recognition
_ is centralised platform that bring tools and services for building,testing and deploying gen ai solutions
Microsoft foundry
OCR and spatial analysis are part of -
Azure vision in foundry tool service
An e-commerce platform uses azure AI VISION to analyze product images. They need precise outlines of each product’s shape for augmented reality(AR) reviews.Which capability should be used
Image segmentation
What is primary purpose of vector embeddings in LLMs
To represent words as numerical values in multidimensional space for semantic understanding
Why is an original dataset typically split into training, validation and test sets
To allocate distinct data
For learning patterns
Tuning hyperparameters
Obtaining an unbiased evaluation on unseen examples
Which azure ai approach user for real time fraud detection ,having limited AI EXPERTISE
Use pre built ANOMOLY DETECTor Service from Azure AI metrics advisor
Which 2 strategies can effectively address both underfitting and overfitting in ML models
Adding more training data
Cross validation
Which text analysis technique summarize text based on identifying a subset of sentences within a document that best represent it’s overall subject
Text rank
At which layer can you apply content filters to suppress promots and responses for a responsible gen ai solution
Safety system
Which 2 gen ai scenarios involve producing new content
Image generation
Summarization
_ will do vector representation of tokesn that capture their sematic meaning
Embeddings
Whichused to examine relationship between each token and tokens around it
Attention
Which technique used vector based approach for modelling text in which text tokens are associated as dense vectors with multiple dimensions
Word2Vec and Gove
Which ml model architecture use filter to extract numeric feature maps from images and then feed the feature values into deep learning model to generate label prefiction
CNN
Name azure ai service for information extraction
- Azure ai vision analysis
- Azure content understanding
- Azure document intelligence
- Azure AI search
