📘 Free AI-900 Sample Questions
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?
A
increased sales
B
a reduced workload for the customer service agents
C
improved product reliability
Correct Answer:
B. a reduced workload for the customer service agents
Explanation:
Correct answer is B: a reduced workload for the customer service agents.
For a machine learning progress, how should you split data for training and evaluation?
A
Use features for training and labels for evaluation.
B
Randomly split the data into rows for training and rows for evaluation.
C
Use labels for training and features for evaluation.
D
Randomly split the data into columns for training and columns for evaluation.
Correct Answer:
B. Randomly split the data into rows for training and rows for evaluation.
Explanation:
You split rows not columns:
The Split Data module is particularly useful when you need to separate data into training and testing sets. Use
the Split Rows option if you want to divide the data into two parts. You can specify the percentage of data to
put in each split, but by default, the data is divided 50-50. You can also randomize the selection of rows in
each group, and use stratified sampling.
HOTSPOT -
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.
A
Correct Answer:
A.
You build a machine learning model by using the automated machine learning user interface (UI).
You need to ensure that the model meets the Microsoft transparency principle for responsible AI.
What should you do?
A
Set Validation type to Auto.
B
Enable Explain best model.
C
Set Primary metric to accuracy.
D
Set Max concurrent iterations to 0.
Correct Answer:
B. Enable Explain best model.
Explanation:
Model Explain Ability.
Most businesses run on trust and being able to open the ML black box helps build transparency and trust. In
heavily regulated industries like healthcare and banking, it is critical to comply with regulations and best
practices. One key aspect of this is understanding the relationship between input variables (features) and
model output. Knowing both the magnitude and direction of the impact each feature (feature importance) has
on the predicted value helps better understand and explain the model. With model explain ability, we enable
you to understand feature importance as part of automated ML runs
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:
A
Correct Answer:
A.
Explanation:
A - Regression
B - Anomly
C - Cassification
Anomaly detection encompasses many important tasks in machine learning:
Identifying transactions that are potentially fraudulent.
Learning patterns that indicate that a network intrusion has occurred.
Finding abnormal clusters of patients.
Checking values entered into a system.
HOTSPOT -
To complete the sentence, select the appropriate option in the answer area.
Hot Area:
A
Correct Answer:
A.
Explanation:
Reliability and safety:
AI systems need to be reliable and safe in order to be trusted. It is important for a system to perform as it was
originally designed and for it to respond safely to new situations. Its inherent resilience should resist intended
or unintended manipulation. Rigorous testing and validation should be established for operating conditions to
ensure that the system responds safely to edge cases, and A/B testing and champion/challenger methods
should be integrated into the evaluation process.
An AI system's performance can degrade over time, so a robust monitoring and model tracking process needs
to be established to reactively and proactively measure the model's performance and retrain it, as necessary,
to modernize it.
DRAG DROP -
Match the types of AI workloads to the appropriate scenarios.
To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
Select and Place:
A
Correct Answer:
A.
Explanation:
Box 3: Natural language processing
Natural language processing (NLP) is used for tasks such as sentiment analysis, topic detection, language
detection, key phrase extraction, and document categorization.
What is Natural Language Processing?
Natural language processing (NLP) is the area of AI that deals with creating software that understands
written and spoken language.
NLP enables you to create software that can:
-Analyze text documents to extract key phrases and recognize entities (such as places, dates, or people). ie
Text Analystics service
-Perform sentiment analysis to determine how positive or negative the language used in a document is. ie Text
Analytics service
-Interpret spoken language, and synthesize speech responses. ie Speech service(speech to text and text to
speech)
-Automatically translate spoken or written phrases between languages. ie Text service(for text to text
translation)/Speech service(for speech to text/speech translation)
Interpret commands and determine appropriate actions. ie Language Understanding(LUIS) service
You are designing an AI system that empowers everyone, including people who have hearing, visual, and other impairments.
This is an example of which Microsoft guiding principle for responsible AI?
A
fairness
B
inclusiveness
C
reliability and safety
D
accountability
Correct Answer:
B. inclusiveness
Explanation:
Inclusiveness: At Microsoft, we firmly believe everyone should benefit from intelligent technology, meaning it
must incorporate and address a broad range of human needs and experiences. For the 1 billion people with
disabilities around the world, AI technologies can be a game-changer.
DRAG DROP -
Match the Microsoft guiding principles for responsible AI to the appropriate descriptions.
To answer, drag the appropriate principle from the column on the left to its description on the right. Each principle
may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
Select and Place:
A
Correct Answer:
A.
Explanation:
Box 1: Reliability and safety -
To build trust, it's critical that AI systems operate reliably, safely, and consistently under normal
circumstances and in unexpected conditions. These systems should be able to operate as they were originally
designed, respond safely to unanticipated conditions, and resist harmful manipulation.
Box 2: Accountability -
The people who design and deploy AI systems must be accountable for how their systems operate.
Answer: B
Explanation:
Inclusiveness: At Microsoft, we firmly believe everyone should benefit from intelligent technology, meaning it
must incorporate and address a broad range of human needs and experiences. For the 1 billion people with
disabilities around the world, AI technologies can be a game-changer.
Reference:
Organizations should draw upon industry standards to develop accountability norms. These norms can ensure
that AI systems are not the final authority on any decision that impacts people's lives and that humans
maintain meaningful control over otherwise highly autonomous AI systems.
Box 3: Privacy and security -
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
HOTSPOT -
To complete the sentence, select the appropriate option in the answer area.
Hot Area:
A
Correct Answer:
A.
Explanation:
Reliability and safety: To build trust, it's critical that Al systems operate reliably, safely, and consistently
under normal circumstances and in unexpected conditions.
These systems should be able to operate as they were originally designed, respond safely to unanticipated
conditions, and resist harmful manipulation.
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