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Before enrolling in the process of taking the AI-102 Exams, candidates should be skilled in implementing Python and C#, using APIs and SDKs based on REST to create natural language processing solutions, computer vision solutions, and knowledge mining and communicative AI solutions based on Azure. In addition, such specialists should be knowledgeable of the elements that create the Azure AI portfolio as well as the data storage options. To add more, they should be able to implement AI principles appropriately.
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Microsoft AI-102 (Designing and Implementing a Microsoft Azure AI Solution) Certification Exam is designed for professionals who want to demonstrate their expertise in designing and implementing AI solutions using Microsoft Azure. AI-102 exam is targeted towards developers, data scientists, and AI engineers who are responsible for building AI applications that leverage Azure AI services. Passing AI-102 Exam validates your skills and knowledge to design, implement, and monitor AI solutions that meet business needs.
NEW QUESTION # 48
You are building an Azure Weblob that will create knowledge bases from an array of URLs.
You instantiate a QnAMakerClient object that has the relevant API keys and assign the object to a variable named client.
You need to develop a method to create the knowledge bases.
Which two actions should you include in the method? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: B,C
Explanation:
var createOp = await client.Knowledgebase.CreateAsync(createKbDto);
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/quickstarts/quickstart- sdk?tabs=v1%2Cversion-1&pivots=programming-language-csharp#create-a-knowledge-base
NEW QUESTION # 49
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. (Choose four.) NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.
Answer:
Explanation:
Explanation:
Comprehensive Detailed Explanation
You are deploying Anomaly Detector API as a container. The key requirements are:
Prevent billing and API keys from being exposed in command-line history.
Control access to container images using Azure RBAC.
Step-by-step reasoning:
Pull the Anomaly Detector container image
Microsoft Cognitive Services (including Anomaly Detector) provides container images via Microsoft Container Registry.
You must first pull the container image locally.
Push the image to an Azure container registry (ACR)
To enforce Azure RBAC, you need to use Azure Container Registry instead of Docker Hub.
Storing in ACR ensures authentication and role-based access control to the image.
Distribute a docker run script
Instead of providing credentials directly on the command line (which risks storing API keys in shell history), best practice is to distribute a docker run script (or use environment variables / mounted files) to run the container.
This prevents exposure of sensitive information.
Run the container on local devices or on-premises datacenters
The container now runs securely, with API key and billing info injected at runtime via environment variables or mounted secrets.
Incorrect Options
Create a custom Dockerfile # Not needed, because Microsoft provides the official Anomaly Detector container image.
Build the image # Not required; again, the container is prebuilt.
Push the image to Docker Hub # Does not allow RBAC, so this would not meet the security requirement.
Correct Sequence:
Pull the Anomaly Detector container image.
Push the image to an Azure container registry.
Distribute a docker run script.
Run the container in the local or on-prem environment.
Microsoft References
Use Cognitive Services containers
Azure Container Registry - Authentication and RBAC
Best practices for running Cognitive Services containers
NEW QUESTION # 50
You are building an Azure Cognitive Search custom skill.
You have the following custom skill schema definition.
For each of the following statements, select Yes if the statement. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Yes
Once you have defined a skillset, you must map the output fields of any skill that directly contributes values to a given field in your search index.
Box 2: Yes
The definition is a custom skill that calls a web API as part of the enrichment process.
Box 3: No
For each organization identified by entity recognition, this skill calls a web API to find the description of that organization.
Reference:
https://docs.microsoft.com/en-us/azure/search/cognitive-search-output-field-mapping
NEW QUESTION # 51
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:
Explanation:
Azure Cosmos DB supports multiple APIs, each aligned to a specific data model:
Gremlin API
Designed for graph data.
Stores vertices (nodes) and edges (relationships).
Query language: Gremlin.
Correct mapping: Graph data.
MongoDB API
Designed for document data using JSON.
Supports MongoDB wire protocol.
Correct mapping: JSON documents.
Table API
Designed for key-value data.
Compatible with Azure Table Storage.
Correct mapping: Key/value data.
Cassandra API
Designed for wide-column (column-family) data.
Uses CQL (Cassandra Query Language).
Not listed in the answer area, but if included, it maps to columnar data, not the options shown here.
Correct Mapping:
Graph data # Gremlin API
JSON documents # MongoDB API
Key/value data # Table API
Microsoft References
APIs in Azure Cosmos DB
Choose the right API for Azure Cosmos DB
NEW QUESTION # 52
You have an Azure subscription that contains a multi-service Azure Cognitive Services Translator resource named Translator1.
You are building an app that will translate text and documents by using Translator1.
You need to create the REST API request for the app.
Which headers should you include in the request?
Answer: B
NEW QUESTION # 53
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