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Topics of AI-102: Designing and Implementing an Azure AI Solution Exam
Candidates should apprehend the examination topics before they begin of preparation.because it'll extremely facilitate them in touch the core. Our AI-102 exam dumps will include the following topics:
1. Analyze solution requirements (25-30%)
Recommend Cognitive Services APIs to meet business requirements
- Identify automation requirements
- Identify components and technologies required to connect service endpoints
- Select the appropriate AI models and services
- Select the appropriate data processing technologies
- Select the processing architecture for a solution
Map security requirements to tools, technologies, and processes
- Identify processes and regulations needed to conform with data privacy, protection, and regulatory requirements
- Identify which users and groups have access to information and interfaces
- Identify auditing requirements
- Identify appropriate tools for a solution
Select the software, services, and storage required to support a solution
- Identify appropriate services and tools for a solution
- Identify integration points with other Microsoft services
- Identify storage required to store logging, bot state data, and Cognitive Services output
2. Design AI solutions (40-45%)
Design solutions that include one or more pipelines
- Define an AI application workflow process
- Design pipelines that use AI apps
- Design a strategy for ingest and egress data
- Design the integration point between multiple workflows and pipelines
- Design pipelines that call Azure Machine Learning models
Design solutions that uses Cognitive Services
- Design solutions that use vision, speech, language, knowledge, search, and anomaly detection APIs
Design solutions that implement the Bot Framework
- Design bots that integrate with channels
- Integrate bots and AI solutions
- Design bot services that use Language Understanding (LUIS)
- Integrate bots with Azure app services and Azure Application Insights
Design the compute infrastructure to support a solution
- Select a compute solution that meets cost constraints
- Identify whether to use a cloud-based, on-premises, or hybrid compute infrastructure
- Identify whether to create a GPU, FPGA, or CPU-based solution
Design for data governance, compliance, integrity, and security
- Design a content moderation strategy for data usage within an AI solution
- Ensure appropriate governance of data
- Ensure that data adheres to compliance requirements defined by your organization
- Define how users and applications will authenticate to AI services
- Design strategies to ensure that the solution meets data privacy regulations and industry standards
3. Implement and monitor AI solutions (25-30%)
Implement an AI workflow
- Develop AI pipelines
- Manage the flow of data through the solution components
- Define and construct interfaces for custom AI services
- Implement data logging processes
- Develop streaming solutions
Integrate AI services with solution components
- Configure prerequisite components and input datasets to allow the consumption of Cognitive Services APIs
- Configure prerequisite components to allow connectivity to the Bot Framework
- Implement Azure Search in a solution
- Configure integration with Cognitive Services
Monitor and evaluate the AI environment
- Identify the differences between KPIs, reported metrics, and root causes of the differences
- Maintain an AI solution for continuous improvement
- Identify the differences between expected and actual workflow throughput
- Recommend changes to an AI solution based on performance data
- Monitor AI components for availability
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Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions (Q412-Q417):
NEW QUESTION # 412
You successfully run the following HTTP request.
POST
https://management.azure.com/subscriptions/18c51a87-3a69-47a8-aedc-a54745f708a1/resourceGroups/RG1/pro Body{"keyName": "Key2"} What is the result of the request?
- A. A new query key was generated.
- B. A key for Azure Cognitive Services was generated in Azure Key Vault.
- C. The primary subscription key and the secondary subscription key were rotated.
- D. The secondary subscription key was reset.
Answer: A
Explanation:
Explanation
https://docs.microsoft.com/en-us/rest/api/searchmanagement/2021-04-01-preview/query-keys/create
NEW QUESTION # 413
You plan to deploy a containerized version of an Azure Cognitive Services service that will be used for text analysis.
You configure https://contoso.cognitiveservices.azure.com as the endpoint URI for the service, and you pull the latest version of the Text Analytics Sentiment Analysis container.
You need to run the container on an Azure virtual machine by using Docker.
How should you complete the command? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-install-containers?tabs=sentiment
NEW QUESTION # 414
You have a factory that produces cardboard packaging for food products. The factory has intermittent internet connectivity.
The packages are required to include four samples of each product.
You need to build a Custom Vision model that will identify defects in packaging and provide the location of the defects to an operator. The model must ensure that each package contains the four products.
Which project type and domain should you use? To answer, drag the appropriate options to the correct targets.
Each option may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
NEW QUESTION # 415
You are building a chatbot that will provide information to users as shown in the following exhibit.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Adaptive card
Box 2: an image
Reference:
https://docs.microsoft.com/en-us/microsoftteams/platform/task-modules-and-cards/cards/cards-reference
https://docs.microsoft.com/en-us/composer/how-to-send-cards?tabs=v1x
NEW QUESTION # 416
You are developing an internet-based training solution for remote learners.
Your company identifies that during the training, some learners leave their desk for long periods or become distracted.
You need to use a video and audio feed from each learner's computer to detect whether the learner is present and paying attention. The solution must minimize development effort and identify each learner.
Which Azure Cognitive Services service should you use for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
You are building a remote training monitoring solution.
* Requirement: Use video and audio feeds to detect if a learner is present, paying attention, and talking.
* Services available: Face, Speech, Text Analytics.
* From a learner's video feed, verify whether the learner is present.
* The Face API can detect and identify faces in a video feed.
* It can tell if a person is present and recognized, fulfilling the requirement.
* From a learner's facial expression in the video feed, verify whether the learner is paying attention.
* Again, the Face API provides facial expression and emotion recognition (happiness, anger, neutral, etc.).
* This can be mapped to "paying attention vs. distracted."
* From a learner's audio feed, detect whether the learner is talking.
* The Speech service detects spoken input and can determine if speech is present.
* Text Analytics works on text (not raw audio) and is therefore not appropriate here.
* From a learner's video feed, verify whether the learner is present: Face
* From a learner's facial expression in the video feed, verify whether the learner is paying attention: Face
* From a learner's audio feed, detect whether the learner is talking: Speech
* Face API - Face detection & identification
* Face API - Emotion recognition
* Azure Speech service
NEW QUESTION # 417
......
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