AI-900 Microsoft Azure AI Fundamentals Exam Questions and Answers – Page 3

The latest Microsoft AI-900 Azure AI Fundamentals certification actual real practice exam question and answer (Q&A) dumps are available free, which are helpful for you to pass the Microsoft AI-900 Azure AI Fundamentals exam and earn Microsoft AI-900 Azure AI Fundamentals certification.

AI-900 Microsoft Azure Fundamentals Exam Questions and Answers
AI-900 Microsoft Azure AI Fundamentals Exam Questions and Answers

Exam Question 201

Conversational AI

Correct Answer:
An automated chat to answer questions about refunds and exchange

Exam Question 202

The handling of unusual or missing values provided to an AI system is a consideration for the Microsoft _____ principle for responsible AI.
A. Inclusiveness
B. Privacy and security
C. Reliability and safety
D. Transparency

Correct Answer:
B. Privacy and security
Answer Description:
As AI becomes more prevalent, protecting privacy and securing important personal and business information is becoming more critical and complex. With AI, privacy and data security issues require especially close attention because access to data is essential for AI systems to make accurate and informed predictions and decisions about people. AI systems must comply with privacy laws that require transparency about the collection, use, and storage of data and mandate that consumers have appropriate controls to choose how their data is used. At Microsoft, we are continuing to research privacy and security breakthroughs (see next unit) and invest in robust compliance processes to ensure that data collected and used by our AI systems is handled responsibly.

Exam Question 203

Predicting whether a patient will develop diabetes based on the patients medical history is an example of anomaly detection

Correct Answer:
No

Exam Question 204

Identifying suspicious sign-ins by looking for deviations from usual patterns is an example of anomaly detection

Correct Answer:
Yes

Exam Question 205

Forecasting housing prices based on historical data is an example of anomaly detection

Correct Answer:
No

Exam Question 206

You build a machine learning model by using the automate machine learning user interface (UI). You need to ensure that the model meets the Microsoft transparency principle for responsible AI. What should you do?

Correct Answer:
Enable explain best model (ML ‘Black box’)

Exam Question 207

You are developing a model to predict events by using classification. You have a confusion matrix for the model scored on test data as shown in the following exhibit
There are ____ false negatives

Correct Answer:
1 033

Exam Question 208

You are developing a model to predict events by using classification. You have a confusion matrix for the model scored on test data as shown in the following exhibit
There are ____ correctly predicted positives

Correct Answer:
11

Exam Question 209

For machine learning progress, how should you split data for training and evaluation

Correct Answer:
Randomly split the data into rows for training and rows for evaluation

Exam Question 210

A company employs a team of customer service agents to provide telephone and email support to customers. The company develops a webchat bot to provide automated answers to common customer queries. Which business benefit should the company expect as a result of creating the webchat bot solution

Correct Answer:
Reduced workload for the customer service agents