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How to book the AI-102: Designing and Implementing an Azure AI Solution Exam
These are following steps for registering the AI-102: Designing and Implementing an Azure AI Solution exam.
- Step 1: Visit to Microsoft Learning and search for AI-102: Developing Solutions for copyright.
- Step 2: Sign up/Login to Pearson VUE account
- Step 3: Select local centre based on your country, date, time and confirm with a payment method.
100% Pass Professional AI-102 - Pass Designing and Implementing a copyright AI Solution Exam
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Microsoft Designing and Implementing a copyright AI Solution Sample Questions (Q351-Q356):
NEW QUESTION # 351
You are developing a call to the Face API. The call must find similar faces from an existing list named employeefaces. The employeefaces list contains 60,000 images.
How should you complete the body of the HTTP request? To answer, drag the appropriate values to the correct targets. Each value 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
Box 1: LargeFaceListID
LargeFaceList: Add a face to a specified large face list, up to 1,000,000 faces.
Note: Given query face's faceId, to search the similar-looking faces from a faceId array, a face list or a large face list. A "faceListId" is created by FaceList - Create containing persistedFaceIds that will not expire. And a
"largeFaceListId" is created by LargeFaceList - Create containing persistedFaceIds that will also not expire.
Reference:
https://docs.microsoft.com/en-us/rest/api/faceapi/face/findsimilar
NEW QUESTION # 352
You are building an app that will process incoming email and direct email messages to either French or English language support teams.
Which Azure Cognitive Services API should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
The task is to process incoming emails and route them to French or English support teams. This means we need to detect the language of each email.
Let's break it down:
* Which Cognitive Service is needed?
* Azure Text Analytics (part of Azure AI Language) provides a Language Detection API.
* The Translator service is used for translation, not just detecting the original language. Since the requirement is only to decide whether to send emails to French or English teams, we just need to detect the language.
* Endpoint selection
* Text Analytics uses regional endpoints such as:https://<region>.api.cognitive.microsoft.com/
* For example: eastus.api.cognitive.microsoft.com is valid.
* api.cognitivemicrosofttranslator.com # incorrect (this is for Translator service).
* portal.azure.com # Azure portal, not an API endpoint.
* API Path selection
* To detect language, you call:/text/analytics/v3.1/languages
* /text/analytics/v3.1/entities/recognition/general # entity recognition, not language.
* /translator/text/v3.0/... # translation, not language detection.
Correct Answer Combination:
* eastus.api.cognitive.microsoft.com
* /text/analytics/v3.1/languages
* Text Analytics Language Detection API
* Text Analytics REST API v3.1
Microsoft References
NEW QUESTION # 353
Which Azure Storage service implements the key/value model?
- A. Azure Blob
- B. Azure Table
- C. Azure Files
- D. Azure Queue
Answer: B
Explanation:
Azure Storage provides multiple services, each with different data models:
* Azure Files
* Provides fully managed file shares accessible via SMB/NFS.
* Works like a traditional file system (folders and files).
* Not key/value.
* Azure Blob Storage
* Object storage for unstructured data like images, videos, backups, logs.
* Identified by container + blob name.
* Not strictly a key/value store (though blob name acts as a key).
* Azure Table Storage #
* A NoSQL key/value store for structured, non-relational data.
* Data is stored in tables as entities (rows), with properties (columns).
* Entities are indexed by PartitionKey + RowKey, forming a unique key/value pair.
* Specifically designed for scalable key/value lookups.
* Azure Queue Storage
* Provides message queueing for communication between components.
* Stores ordered messages, not key/value pairs.
C). Azure Table
* Azure Table Storage overview
* Azure Storage services comparison
Microsoft References
NEW QUESTION # 354
You run the following command.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
Answer:
Explanation:
Explanation:
Box 1: Yes
http://localhost:5000/status
: Also requested with GET, this verifies if the api-key used to start the container is valid without causing an endpoint query.
Box 2: Yes
The command saves container and LUIS logs to output mount at C:output, located on container host Box 3: Yes
http://localhost:5000/swagger
: The container provides a full set of documentation for the endpoints and a Try it out feature. With this feature, you can enter your settings into a web-based HTML form and make the query without having to write any code. After the query returns, an example CURL command is provided to demonstrate the HTTP headers and body format that
's required.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-container-howto
NEW QUESTION # 355
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 an Azure Cognitive Search service.
During the past 12 months, query volume steadily increased.
You discover that some search query requests to the Cognitive Search service are being throttled.
You need to reduce the likelihood that search query requests are throttled.
Solution: You migrate to a Cognitive Search service that uses a higher tier.
Does this meet the goal?
- A. No
- B. Yes
Answer: B
Explanation:
Explanation
A simple fix to most throttling issues is to throw more resources at the search service (typically replicas for query-based throttling, or partitions for indexing-based throttling). However, increasing replicas or partitions adds cost, which is why it is important to know the reason why throttling is occurring at all.
Reference:
https://docs.microsoft.com/en-us/azure/search/search-performance-analysis
NEW QUESTION # 356
......
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