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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is batch inference?
π‘ Hint: Think about processing data in larger groups or sets.
Question 2
Easy
Name one tool used for TensorFlow model serving.
π‘ Hint: This tool shares part of its name with its creator.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the main purpose of batch inference?
π‘ Hint: Think about timing β does it wait for all data?
Question 2
True or False: Real-time inference is ideal for scenarios requiring immediate predictions.
π‘ Hint: Consider applications like chatbots.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Design a model-serving architecture for a personalized news feed application that requires both batch and real-time predictions. What types of inferences would you utilize, and why?
π‘ Hint: Consider user experience for both timely and comprehensive data insights.
Question 2
Evaluate the trade-offs of using batch inference versus real-time inference in a streaming video analytics application.
π‘ Hint: Consider the urgency vs. depth of feedback needed.
Challenge and get performance evaluation