Practice Free AI-102 Exam Online Questions
Your company uses an Azure Cognitive Services solution to detect faces in uploaded images.
The method to detect the faces uses the following code.
You discover that the solution frequently fails to detect faces in blurred images and in images that contain sideways faces.
- A . Use a different version of the Face API.
- B . Use the Computer Vision service instead of the Face service.
- C . Use the Identify method instead of the Detect method.
- D . Change the detection model.
You need to increase the likelihood that the solution can detect faces in blurred images and images that contain sideways faces.
What should you do?
D
Explanation:
Evaluate different models.
The best way to compare the performances of the detection models is to use them on a sample dataset. We recommend calling the Face – Detect API on a variety of images, especially images of many faces or of faces that are difficult to see, using each detection model. Pay attention to the number of faces that each model returns.
Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/face/face-api-how-to-topics/specify-
detection-model
HOTSPOT
You are reviewing the design of a chatbot. The chatbot includes a language generation file that contains the following fragment.
# Greet(user)
– ${Greeting()}, ${user.name}
For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.

Explanation:
Box 1: No
Example: Greet a user whose name is stored in `user.name` – ${ welcomeUser(user.name) }
Example: Greet a user whose name you don’t know:
– ${ welcomeUser() }
Box 2: No
Greet(User) is a Send a response action.
Box 3: Yes
Reference: https://docs.microsoft.com/en-us/composer/how-to-ask-for-user-input
You are building an app that will include one million scanned magazine articles. Each article will be stored as an image file. You need to configure the app to extract text from the images. The solution must minimize development effort.
What should you include in the solution?
- A . Computer Vision Image Analysis
- B . the Read API in Computer Vision
- C . Form Recognizer
- D . Azure Cognitive Service for Language
You develop a custom question answering project in Azure Cognitive Service for Language. The project will be used by a chatbot. You need to configure the project to engage in multi-turn conversations.
What should you do?
- A . Add follow-up prompts.
- B . Enable active learning.
- C . Add alternate questions.
- D . Enable chit-chat.
Your company needs to implement a relational database in Azure. The solution must minimize ongoing maintenance.
Which Azure service should you use?
- A . SQL Server on Azure Virtual Machines
- B . Azure SOL Database
- C . Azure HDInsight
- D . Azure Cosmos DB
HOTSPOT
You are building content for a video training solution.
You need to create narration to accompany the video content. The solution must use Custom Neural Voice.
What should you use to create a custom neural voice, and which service should you use to generate the narration? To answer, select the appropriate options in the answer area. NOTE: Each correct answer is worth one point.

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a chatbot that uses question answering in Azure Cognitive Service for Language.
Users report that the responses of the chatbot lack formality when answering random questions that are outside the scope of the knowledge base.
You need to ensure that the chatbot provides formal responses to these spurious questions.
Solution: From Language Studio, you modify the question and answer pairs for the custom intents,
and then retrain and republish the model.
Does this meet the goal?
- A . Yes
- B . No
You have an Azure subscription that contains an Azure OpenAI resource named All and a user named User1.
You need to ensure that User1 can perform the following actions in Azure OpenAI Studio;
• Identify resource endpoints.
• View models that are available for deployment.
• Generate text and images by using the deployed models
The solution must follow the principle of least privilege.
Which role should you assign to User1?
- A . Cognitive Services OpenAI User
- B . Cognitive Services Contributor
- C . Contributor
- D . Cognitive Services OpenAI Contributor
DRAG DROP
You plan to use containerized versions of the Anomaly Detector API on local devices for testing and in on-premises datacenters.
You need to ensure that the containerized deployments meet the following requirements:
Prevent billing and API information from being stored in the command-line histories of the devices that run the container.
Control access to the container images by using Azure role-based access control (Azure RBAC).
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select. (Choose four.)

Explanation:
Step 1: Pull the Anomaly Detector container image.
Step 2: Create a custom Dockerfile
Step 3: Build the image
Step 4: Push the image to an Azure container registry.
https://docs.microsoft.com/en-us/azure/cognitive-services/containers/container-reuse-recipe
You are designing a conversational interface for an app that will be used to make vacation requests.
The interface must gather the following data:
• The start date of a vacation
• The end date of a vacation
• The amount of required paid time off
The solution must minimize dialog complexity.
Which type of dialog should you use?
- A . Skill
- B . waterfall
- C . adaptive
- D . component