AI-900 Online Practice Questions and Answers

Correct Answer:

Reference: https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai

Correct Answer:

Regression is a machine learning task that is used to predict the value of the label from a set of related features.

Reference: https://docs.microsoft.com/en-us/dotnet/machine-learning/resources/tasks

Correct Answer:

Fairness is a core ethical principle that all humans aim to understand and apply. This principle is even more important when AI systems are being developed. Key checks and balances need to make sure that the system's decisions don't discriminate or run a gender, race, sexual orientation, or religion bias toward a group or individual.

Reference: https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai

Correct Answer: C

Azure's Computer Vision service gives you access to advanced algorithms that process images and return information based on the visual features you're interested in. For example, Computer Vision can determine whether an image contains adult content, find specific brands or objects, or find human faces.

Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/overview

Correct Answer: C

Reference: https://azure.microsoft.com/en-us/services/cognitive-services/text-to-speech/#features

Correct Answer: D

Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/how-to/improve-knowledge-base

Correct Answer: D

D: Content types of documents you can add to a knowledge base:

Content types include many standard structured documents such as PDF, DOC, and TXT.

Note: The tool supports the following file formats for ingestion:

.tsv: QnA contained in the format Question(tab)Answer.

.txt, .docx, .pdf: QnA contained as regular FAQ content--that is, a sequence of questions and answers.

Incorrect Answers:

A: PPTX is the default presentation file format for new PowerPoint presentations.

B: It is not possible to ingest xml file directly.

Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/concepts/data-sources-and-content

Correct Answer: C

Best practices you implement Use more data Using more data is the simplest and best possible way to prevent overfitting, and as an added bonus typically increases accuracy. When you use more data, it becomes harder for the model to memorize exact patterns, and it is forced to reach solutions that are more flexible to accommodate more conditions. It's also important to recognize statistical bias, to ensure your training data doesn't include isolated patterns that won't exist in live-prediction data. This scenario can be difficult to solve, because there may not be overfitting between your train and test sets, but there may be overfitting present when compared to live test data.

Note: Prevent overfitting and imbalanced data with automated machine learning The best way to prevent overfitting is to follow ML best-practices including:

-> Using more training data, and eliminating statistical bias Preventing target leakage Using fewer features Regularization and hyperparameter optimization Model complexity limitations Cross-validation

Reference: https://learn.microsoft.com/en-us/azure/machine-learning/concept-manage-ml-pitfalls

Correct Answer: C

Embed facial recognition into your apps for a seamless and highly secured user experience. No machine-learning expertise is required. Features include face detection that perceives facial features and attributes — such as a face mask, glasses, or face location — in an image, and identification of a person by a match to your private repository or via photo ID.

Note: Facial recognition CCTV cameras can take images of faces they film and compare them against a predefined database of images to determine if there is a match.

Reference: https://azure.microsoft.com/en-in/products/cognitive-services/face

Correct Answer: D

Azure Bot Service provides an integrated development environment for bot building. Its integration with Power Virtual Agents, a fully hosted low-code platform, enables developers of all technical abilities build conversational AI bots — no code needed.

Reference: https://azure.microsoft.com/en-us/products/bot-services