AI-102 exam dumps: questions 201 to 300 of 492

Correct answer: A

• A. Correct.

  Azure Stream Analytics is designed for real-time data streaming and analytics. It supports integration with pre-trained ML models and is well-suited for detecting anomalies in streaming data.

• B. Incorrect.

  Azure Cognitive Search is primarily for indexing and searching unstructured data. It is not designed for real-time data processing or anomaly detection.

• C. Incorrect.

  Azure Machine Learning is for building and deploying machine learning models, but it is not optimized for handling real-time streaming data directly.

• D. Incorrect.

  Azure Synapse Analytics is a big data analytics solution that works on large-scale batch processing rather than real-time streaming data.

Correct answer: A

• A. Correct.

  Text Analytics is the correct choice because it provides pre-built capabilities for extracting entities, detecting language, and performing sentiment analysis on text data.

• B. Incorrect.

  Custom Vision is incorrect because it is designed for image classification and object detection, not text processing.

• C. Incorrect.

  Speech Service is incorrect because it focuses on processing audio data, such as speech-to-text and text-to-speech functionalities, rather than analyzing text.

• D. Incorrect.

  Form Recognizer is incorrect because it is used to extract information from structured documents like invoices and forms, not unstructured text.

Correct answer: D

• A. Incorrect.

  Azure Data Factory is primarily used for data integration and orchestration, and while it can move and transform data, it is not ideal for text-specific preprocessing tasks.

• B. Incorrect.

  Azure Synapse Analytics is a powerful analytics service but is not designed specifically for preprocessing text data. It is more suited for large-scale data analysis and data warehousing.

• C. Incorrect.

  Azure Cognitive Services - Text Analytics is used for extracting sentiments, key phrases, and named entities, but it does not include built-in functionality to preprocess text before analysis.

• D. Correct.

  Azure Functions is a serverless compute option that allows developers to write custom code for specific tasks, such as preprocessing text data (e.g., removing special characters, handling missing values, and normalizing text). This makes it the most suitable option for preprocessing text in this scenario.

Correct answer: A

• A. Correct.

  Azure Stream Analytics is specifically designed for real-time data processing and complex event handling, making it ideal for processing and analyzing IoT device data with high throughput and low latency.

• B. Incorrect.

  Azure Data Factory is designed for batch data processing and ETL workflows, which are not suitable for real-time data processing requirements in this scenario.

• C. Incorrect.

  Azure Machine Learning is used for building and deploying machine learning models but does not handle real-time data processing pipelines directly.

• D. Incorrect.

  Azure Event Hubs is a data ingestion service that can collect high volumes of data but does not perform real-time data analysis or anomaly detection.

Correct answers: A, B, C

• A. Correct.

  The element is used to stress specific words or phrases, making them stand out in the speech output and improving clarity.

• B. Correct.

  The element allows you to adjust pitch, speaking rate, and volume, which is crucial for creating natural and expressive speech.

• C. Correct.

  The element is used to insert pauses, which can help in improving the pacing and clarity of the speech output.

• D. Incorrect.

  The element is used to specify the pronunciation of uncommon or custom words, but it is not directly relevant to controlling expressiveness, speaking rate, or inserting pauses.

• E. Incorrect.

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