AI-102 exam dumps: questions 101 to 200 of 492

Correct answers: A, B, C

• A. Correct.

  Selecting 'Objects' helps identify and label items within the image, which is essential for identifying products in the retail context.

• B. Correct.

  Selecting 'Brands' enables the detection and recognition of brand logos from the images, aligning with the requirement to detect brands.

• C. Correct.

  Selecting 'Handwriting' allows the solution to recognize and process handwritten text, such as price tags, fulfilling the handwritten price tag requirement.

• D. Incorrect.

  Selecting 'Faces' is not relevant here as the scenario does not involve identifying or analyzing human faces.

• E. Incorrect.

  Selecting 'Color' is not relevant as the scenario does not include requirements to analyze the color characteristics of the images.

Correct answers: A, B, C

• A. Correct.

  The 'Objects' feature detects and identifies objects within an image, which is useful for identifying items in product images.

• B. Correct.

  The 'Brands' feature detects brand logos in images, which is relevant for analyzing brand presence in the product images.

• C. Correct.

  The 'OCR' (Optical Character Recognition) feature extracts text from images, making it suitable for reading text from product labels.

• D. Incorrect.

  The 'Faces' feature detects human faces in images, which is not relevant for identifying items, logos, or extracting text from product images.

• E. Incorrect.

  The 'Color' feature analyzes the dominant and accent colors in an image, which is not required for item identification, logo detection, or text extraction.

Correct answers: A, C, D

• A. Correct.

  Objects is the correct feature for detecting and identifying objects in an image. This meets the requirement to identify objects in the product images.

• B. Incorrect.

  Tags provides a general description of the image but does not specifically identify objects or text. It is not required for this scenario.

• C. Correct.

  OCR (Optical Character Recognition) is the correct feature for extracting text from product labels. This meets the requirement for textual data extraction.

• D. Correct.

  Adult is the correct feature for detecting explicit content. This meets the requirement to ensure compliance with content guidelines.

• E. Incorrect.

  Faces detects and analyzes human faces in an image, but this is not relevant to the scenario since there is no specific requirement related to faces.

• F. Incorrect.

  Color analyzes the dominant colors in an image, which is unrelated to the requirements in this scenario.

Correct answers: A, C

• A. Correct.

  The 'Objects' feature is used to detect and identify objects in images, such as clothing items or accessories. This is relevant to the requirement to identify objects in the uploaded images.

• B. Incorrect.

  The 'Tags' feature provides general descriptive labels for an image but does not focus on specific object detection or text extraction. This feature does not directly meet the requirements.

• C. Correct.

  OCR (Optical Character Recognition) is used to extract text from images, such as text on labels or tags. This directly fulfills the requirement to extract text from the uploaded photos.

• D. Incorrect.

  The 'Faces' feature detects faces in an image and provides information such as face locations or emotions, which is not required in the given scenario.

• E. Incorrect.

  The 'Color' feature provides information about the dominant and accent colors in the image, which is unrelated to identifying objects or extracting text.

Correct answer: A

• A. Correct.

  Azure Computer Vision is the correct service for detecting objects in images and generating descriptive tags. It provides pre-trained models for analyzing visual content in images.

• B. Incorrect.

  Azure Form Recognizer is used for extracting structured data from documents like invoices and receipts. It is not designed for object detection or image tagging.

• C. Incorrect.

  Azure Cognitive Search is a search service that allows for text indexing and querying. While it can be used in conjunction with image analysis, it does not perform object detection or tagging on its own.

• D. Incorrect.

  Azure Face API is specialized for facial recognition, detecting faces, and analyzing facial attributes. It is not suitable for general object detection or generating image tags.