AI-102 試験問題を無料オンラインアクセス

You have an Azure subscription that contains an Azure Al Foundry Content Safety resource named resource1.
You are building an app that will analyze text by using resource1.
You need to identify text that contains hateful content.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

正解：

Explanation:


To detect hateful content with Azure AI Foundry Content Safety - Text , you should read the category analysis results returned by the analyze_text call. The response exposes a collection named categories_analysis, where each item contains the analyzed category (e.g., TextCategory.HATE) and its severity level.
Hence:
Iterate over response.categories_analysis, filter the item where item.category == TextCategory.HATE.
Print the severity using hate_result.severity.
This uses category analysis (not blocklist matches), which is the correct mechanism for detecting hate content with a severity score.
Microsoft References
Azure AI Content Safety - Analyze text (Python quickstart/samples): iterate response.categories_analysis, check TextCategory.HATE, read item.severity.
Azure AI Content Safety - Text categories and severity levels: explains categories (Hate, Violence, Sexual, Self-harm) and severity output.

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 develop an application to identify species of flowers by training a Custom Vision model. You receive images of new flower species.
You need to add the new images to the classifier.
Solution: You create a new model, and then upload the new images and labels.
Does this meet the goal?

• A.No
• B.Yes

You are processing text by using the Azure AI Language service.
You need to identify music band names in the text. The solution must minimize development effort.
What should you use?

• A.Key phrase extraction
• B.Custom named entity recognition (NER)
• C.Conversational Language Understanding (CLU)
• D.Entity linking

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 build a language model by using a Language Understanding service. The language model is used to search for information on a contact list by using an intent named FindContact.
A conversational expert provides you with the following list of phrases to use for training.
Find contacts in London. Who do I know in Seattle?
Search for contacts in Ukraine.
You need to implement the phrase list in Language Understanding.
Solution: You create a new pattern in the FindContact intent.
Does this meet the goal?

• A.No
• B.Yes

Select the answer that correctly completes the sentence.

正解：

Explanation:

In SQL, DML (Data Manipulation Language) statements include SELECT , INSERT , UPDATE , and DELETE . Often, you need to filter which rows are affected or returned. That filtering is done with the WHERE clause.
Let's review the options:
ALTER
Used in Data Definition Language (DDL), not DML.
Alters the structure of a database object (e.g., add/remove columns, modify constraints).
Not used to filter rows.
ON
Used in JOIN operations to specify the relationship between tables.
Does not specify row-level filtering criteria in general DML.
SET
Used in the UPDATE statement to assign new values to columns.
Does not specify which rows to update.
WHERE
Used in DML statements to specify criteria for rows that must match.
Examples:
SELECT * FROM Customers WHERE Country = ' USA ' ;
DELETE FROM Orders WHERE OrderDate < ' 2020-01-01 ' ;
UPDATE Products SET Price = Price * 1.1 WHERE CategoryID = 5;
Thus, the correct clause is WHERE.
The answer: WHERE
Microsoft References
SQL WHERE clause
SQL UPDATE with WHERE
SQL DELETE with WHERE