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Build Swift Mobile Apps with Watson AI Services Cognitive Class Exam Quiz Answers

Build Swift Mobile Apps with Watson AI Services Cognitive Class Certification Answers

Question 1: You can use a Watson AI service to indicate whether a statement such as “This car is bad” is positive, negative, or neutral.

  • True
  • False

Question 2: The score that demonstrates that a sentence’s sentiment is recognized by the machine learning network with a confidence between 0 and +/- 1 means that there is a 0 – 100% confidence that the sentence is either negative or positive.

  • True
  • False

Question 3: In addition to sentiment, the Natural Language Understanding service analyzes emotions conveyed by specific target phrases or by the document as a whole. The emotion analysis for automatically detected entities and keywords can be enabled in this service.

  • True
  • False

Question 1: The Watson Visual Recognition service can identify which of the following types of content? Select all that apply.

  • Foods
  • Chemicals
  • Animals
  • Landscapes shown in running videos
  • Text on signs

Question 2: You can expand the existing generic image classification model with new classifiers.

  • True
  • False

Question 3: The Visual Recognition service can process which of the following types of media to classify images and return a confidence score for relevant classifiers representing things such as objects, events, and settings. Select all that apply.

  • Image URL
  • Image file
  • Film or movie URL 
  • Film or movie file
  • Audio file

Question 1: The Watson Text to Speech service is authenticated with your Cloud (Bluemix) user ID and password.

  • True
  • False

Question 2: Which types of interfaces does the Text to Speech service offer? Select all that apply.

  • FTP
  • XML
  • WebSocket

Question 3: The Text to Speech service understands text and natural language to generate synthesized audio output with the appropriate cadence and intonation.

  • True
  • False

Question 1: You can train the default Visual Recognition Service by creating a temporary trial classifier to recognize certain types of images.

  • True
  • False

Question 2: You can access IBM Watson AI services only through REST APIs.

  • True
  • False

Question 3: The Watson Visual Recognition service can consume images as URL links.

  • True
  • False

Question 4: Which SDK must you use to call IBM Watson services from iOS applications?

  • Java SDK
  • .NET Framework SDK
  • Watson Cloud Developer SDK
  • Analytics SDK

Question 5: English is the only language that is supported by the Watson Text to Speech service.

  • True
  • False

Introduction to Build Swift Mobile Apps with Watson AI Services

Building Swift mobile apps with Watson AI services combines the power of IBM’s Watson AI platform with the versatility and efficiency of Swift, Apple’s programming language for iOS, macOS, watchOS, and tvOS app development. This fusion opens up a world of possibilities for creating intelligent, data-driven mobile applications.

Here’s a brief introduction to get you started:

  1. Understanding Watson AI Services: Watson is IBM’s suite of AI-powered technologies and services. It offers a range of capabilities, including natural language processing (NLP), image recognition, machine learning, and more. These services enable developers to integrate advanced AI functionalities into their applications without needing to build them from scratch.
  2. Swift Programming Language: Swift is a modern, powerful, and intuitive programming language developed by Apple. It’s designed to be fast, safe, and expressive, making it an excellent choice for building iOS, macOS, watchOS, and tvOS apps. Swift’s syntax is concise and easy to read, which accelerates the development process.
  3. Integration of Watson AI Services with Swift: IBM provides SDKs (Software Development Kits) and APIs (Application Programming Interfaces) for integrating Watson AI services into Swift applications. These SDKs abstract the complexity of AI algorithms, making it easier for developers to leverage Watson’s capabilities within their Swift codebase.
  4. Popular Watson AI Services for Mobile Apps: Some of the popular Watson AI services that can be integrated into Swift mobile apps include:
    • Watson Assistant: Enables natural language understanding and conversation management for building chatbots and virtual assistants.
    • Watson Visual Recognition: Provides image recognition and analysis capabilities, allowing apps to identify objects, scenes, and concepts within images.
    • Watson Natural Language Understanding: Analyzes text to extract metadata such as keywords, entities, sentiment, and emotion, enabling deeper insights from textual data.
    • Watson Speech to Text & Text to Speech: Convert spoken language into written text and vice versa, enabling voice-enabled interfaces in mobile apps.
  5. Use Cases: Swift mobile apps powered by Watson AI services can be applied to various use cases across industries, including customer service chatbots, personalized recommendations, image recognition-based applications, sentiment analysis in social media, language translation apps, and more.
  6. Getting Started: To begin building Swift mobile apps with Watson AI services, developers can:
    • Explore IBM Watson’s documentation and tutorials to understand the capabilities and usage of different AI services.
    • Set up a development environment for Swift app development, including Xcode (Apple’s integrated development environment) and the necessary dependencies for integrating Watson SDKs.
    • Follow step-by-step guides and sample projects provided by IBM to implement specific AI functionalities within Swift apps.

By combining the strengths of Watson AI services with the elegance and efficiency of Swift programming, developers can create innovative and intelligent mobile applications that deliver enhanced user experiences and functionality.

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