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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 components and technologies required to connect service endpoints
Select the processing architecture for a solution
Select the appropriate AI models and services
Identify automation requirements
Select the appropriate data processing technologies

Map security requirements to tools, technologies, and processes

Identify which users and groups have access to information and interfaces
Identify processes and regulations needed to conform with data privacy, protection, and regulatory requirements
Identify appropriate tools for a solution
Identify auditing requirements

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

Design the integration point between multiple workflows and pipelines
Design pipelines that call Azure Machine Learning models
Design a strategy for ingest and egress data
Design pipelines that use AI apps
Select an AI solution that meet cost constraints

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 bot services that use Language Understanding (LUIS)
Integrate bots and AI solutions
Design bots that integrate with channels
Integrate bots with Azure app services and Azure Application Insights

Design the compute infrastructure to support a solution

Identify whether to create a GPU, FPGA, or CPU-based solution
Select a compute solution that meets cost constraints
Identify whether to use a cloud-based, on-premises, or hybrid compute infrastructure

Design for data governance, compliance, integrity, and security

Design a content moderation strategy for data usage within an AI solution
Design strategies to ensure that the solution meets data privacy regulations and industry standards
Ensure that data adheres to compliance requirements defined by your organization
Define how users and applications will authenticate to AI services
Ensure appropriate governance of data

3. Implement and monitor AI solutions (25-30%)

Implement an AI workflow

Develop AI pipelines
Manage the flow of data through the solution components
Implement data logging processes

Integrate AI services with solution components

Configure integration with Cognitive Services
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

Monitor and evaluate the AI environment

Identify the differences between expected and actual workflow throughput
Recommend changes to an AI solution based on performance data
Monitor AI components for availability
Maintain an AI solution for continuous improvement
Identify the differences between KPIs, reported metrics, and root causes of the differences

Designing and Implementing a Microsoft Azure AI Solution Exam Certification Details:

Books / Training
Course AI-102T00: Designing and Implementing a Microsoft Azure AI Solution

Duration
130 mins

Exam Name
Microsoft Certified - Azure AI Engineer Associate

Exam Price
$165 (USD)

Passing Score
700 / 1000

Sample Questions
Designing and Implementing a Microsoft Azure AI Solution Sample Questions

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Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions (Q266-Q271):

NEW QUESTION # 266
SIMULATION
You need to create a Text Analytics service named Text12345678, and then enable logging for Text12345678. The solution must ensure that any changes to Text12345678 will be stored in a Log Analytics workspace.
To complete this task, sign in to the Azure portal.

Answer:

Explanation:
Step 1: Sign in to the QnA portal.
Step 2: Create an Azure Cognitive multi-service resource:

Step 3: On the Create page, provide the following information.
Name: Text12345678

Step 4: Configure additional settings for your resource as needed, read and accept the conditions (as applicable), and then select Review + create.
Step 5: Navigate to the Azure portal. Then locate and select The Text Analytics service resource Text12345678 (which you created in Step 4).
Step 6: Next, from the left-hand navigation menu, locate Monitoring and select Diagnostic settings. This screen contains all previously created diagnostic settings for this resource.
Step 7: Select + Add diagnostic setting.
Step 8: When prompted to configure, select the storage account and OMS workspace that you'd like to use to store you diagnostic logs. Note: If you don't have a storage account or OMS workspace, follow the prompts to create one.
Step 9: Select Audit, RequestResponse, and AllMetrics. Then set the retention period for your diagnostic log data. If a retention policy is set to zero, events for that log category are stored indefinitely.
Step 10: Click Save.
It can take up to two hours before logging data is available to query and analyze. So don't worry if you don't see anything right away.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/cognitive-services-apis-create-account
https://docs.microsoft.com/en-us/azure/cognitive-services/diagnostic-logging

NEW QUESTION # 267
You are planning the product creation project.
You need to build the REST endpoint to create the multilingual product descriptions.
How should you complete the URI? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation
Box 1: api-nam.cognitive.microsofttranslator.com
https://docs.microsoft.com/en-us/azure/cognitive-services/translator/reference/v3-0-reference Box 2: /translate Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/translator/reference/v3-0-translate

NEW QUESTION # 268
You are building a chatbot by using the Microsoft Bot Framework Composer. You have the dialog design shown in the following exhibit.

For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection Is worth one point.

Answer:

Explanation:

Explanation

NEW QUESTION # 269
You are developing a new sales system that will process the video and text from a public-facing website.
You plan to notify users that their data has been processed by the sales system.
Which responsible AI principle does this help meet?

A. transparency
B. inclusiveness
C. fairness
D. reliability and safety

Answer: D

Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/strategy/responsible-ai

NEW QUESTION # 270
Match the Azure Cosmos DB APIs to the appropriate data structures.
To answer, drag the appropriate API from the column on the left to its data structure on the right. Each API may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.

Answer:

Explanation:

NEW QUESTION # 271
......

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