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Apply Here: 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
Lab 1: Analyze Sentiment
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
Lab 2: Recognize Images
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
Lab 3: Convert Text to Speech
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
- HTTP REST
- 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
Build Swift Mobile Apps with Watson AI Services Final Exam Answers – Cognitive Class
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 can be an exciting venture, combining the power of IBM’s Watson AI technology with the versatility of Swift for iOS development. In this introduction, let’s explore the fundamental concepts and steps involved in integrating Watson AI services into your Swift mobile apps.
1. Understanding Watson AI Services:
- Watson AI services offer a suite of powerful tools and APIs for developers to integrate artificial intelligence capabilities into their applications.
- These services include natural language processing, machine learning, computer vision, and more, allowing developers to add advanced functionalities without having to build them from scratch.
2. Getting Started with Swift:
- Swift is a programming language developed by Apple for iOS, macOS, watchOS, and tvOS app development. It’s known for its safety, speed, and modern syntax.
- To start building Swift mobile apps, you’ll need Xcode, Apple’s integrated development environment (IDE), which includes everything you need to create apps for Apple’s platforms.
3. Integrating Watson AI Services:
- IBM provides SDKs (Software Development Kits) and APIs for integrating Watson AI services into Swift applications.
- You can use services like Watson Assistant for building conversational interfaces, Watson Visual Recognition for image recognition, Watson Natural Language Understanding for text analysis, and more.
- These services are typically accessed through RESTful APIs, making it easy to integrate them into your Swift code.
4. Building a Sample App:
- A common way to get started is by building a sample app that demonstrates the integration of Watson AI services.
- For example, you could create a chatbot app using Watson Assistant to handle user inquiries and provide responses based on predefined conversational flows.
- Alternatively, you could build an app that uses Watson Visual Recognition to classify images uploaded by users.
5. Deploying and Testing:
- Once you’ve developed your Swift mobile app with Watson AI integration, you can deploy it to the App Store or distribute it internally within your organization.
- It’s important to thoroughly test your app to ensure that the integration with Watson AI services works as expected and delivers the desired user experience.
- Consider gathering feedback from users and iterating on your app to improve its functionality and usability.
6. Continuous Learning and Improvement:
- The field of AI is constantly evolving, and new advancements are being made regularly. Stay updated with the latest developments in Watson AI services and Swift app development to leverage new features and improve your apps.
- Additionally, learning from user interactions and feedback can help you refine your app and make it more effective in meeting user needs.
By combining the power of Watson AI services with the flexibility of Swift, developers can create innovative and intelligent mobile apps that provide valuable experiences to users.
