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NEW QUESTION # 19
You need to analyze video content to identify any mentions of specific company names.
Which three 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.
Answer:
Explanation:
Explanation
NEW QUESTION # 20
Match the Azure services to the appropriate locations in the architecture.
To answer, drag the appropriate service from the column on the left to its location on the right. Each service may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
Answer:
Explanation:
Explanation
NEW QUESTION # 21
Select the answer that correctly completes the sentence.
Answer:
Explanation:
Explanation:
The statement is:
" When using the Azure Cosmos DB Gremlin API, the container resource type is projected as a ______. " Options:
graph # Correct. The Gremlin API in Azure Cosmos DB is designed to work with graph data models, supporting vertices (nodes) and edges (relationships). A container is projected as a graph.
table # Used when working with the Table API (key/value store). Not correct here.
partition key # Refers to data distribution and scalability, not the container resource type.
document # Refers to the SQL API or MongoDB API in Cosmos DB, not Gremlin.
Therefore, the correct answer is graph.
The Answer: graph
Microsoft References
Azure Cosmos DB Gremlin API
Azure Cosmos DB APIs and data models
NEW QUESTION # 22
You are developing a text processing solution.
You have the function shown below.
Answer:
Explanation:
Explanation:
The output will include the following words: our and included. # No
The output will include the following words: Paris, Eiffel, and Tower. # Yes The function will output all the key phrases from the input string to the console. # No Let's examine the function:
static void GetKeyWords(TextAnalyticsClient textAnalyticsClient, string text)
{
var response = textAnalyticsClient.RecognizeEntities(text);
Console.WriteLine("Key words:");
foreach (CategorizedEntity entity in response.Value)
{
Console.WriteLine($"{entity.Text}");
}
}
* The function uses RecognizeEntities from the Azure Text Analytics SDK.
* RecognizeEntities detects and categorizes named entities in text (such as locations, people, organizations, dates, etc.).
* It does not extract all words or key phrases.
* For extracting key phrases, you would use ExtractKeyPhrases, not RecognizeEntities.
* "The output will include the following words: our and included."
* These are common words, not entities. They will not appear.
* Answer: No
* "The output will include the following words: Paris, Eiffel, and Tower."
* These are named entities (location, landmark). They will be recognized and returned.
* Answer: Yes
* "The function will output all the key phrases from the input string to the console."
* No. The function extracts entities, not key phrases. Key phrases would require ExtractKeyPhrases.
* Answer: No
NEW QUESTION # 23
You have a product support manual.
You need to build a product support chatbot based on the manual. The solution must minimize development effort and costs.
What should you use?
Answer: D
NEW QUESTION # 24
......
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