Google AI certification exam study guide questions and answers correct and verified 100%

Google AI certification exam study guide questions and answers correct and verified 100%Google AI certification exam study guide questions and answers correct and verified 100% A spreadsheet that calculates sums and other pre-defined functions on given data - correct answers-No (not AI) [The outcome is determined by the user-specified formula, no AI needed.] Predicting the stock market by fitting a curve to past data about stock prices - correct answers-Kind of/no/yes [Fitting a simple curve is not really AI, but there are so many different curves to choose from, even if there's a lot of data to constrain them, that one needs machine learning/AI to get useful results.] A GPS navigation system for finding the fastest route - correct answers-Kind of/no/yes [the signal processing and geometry used to determine the coordinates isn't AI, but providing good suggestions for navigation (shortest/fastest routes) is AI, especially if variables such as traffic conditions are taken into account.] A music recommendation system such as Spotify that suggests music based on the users' listening behavior - correct answers-Yes [The system learns from the users' (not only your) listening behavior.] Big data storage solutions that can store huge amounts of data (such as images or video) and stream them to many users at the same time - correct answers-No [Storing and retrieving specific items from a data collection is neither adaptive or autonomous.] Photo editing features such as brightness and contrast in applications such as Photoshop - correct answers-kind of & no [Adjustments such as color balance, contrast, and so on, are neither adaptive nor autonomous, but the developers of the application may use some AI to automatically tune the filters.] Style transfer filters in applications such as Prisma that take a photo and transform it into different art styles (impressionist, cubist, ...) - correct answers-Yes [Such methods typically learn image statistics (read: what small patches of the image in a certain style look like up close) and transform the input photo so that its statistics match the style, so the system is adaptive.] Where would you put AI? (AI is a part of computer science.) - correct answers-Section B Where would you put machine learning? (Machine learning is usually considered to be a part of AI) - correct answers-Section C Where would you put computer science? (Computer science is a relatively broad field that includes AI but also other subfields such as distributed computing, human-computer interaction, and software engineering.) - correct answers-Section A Where would you put data science? (Data science needs computer science and AI. However, it also involves a lot of statistics, business, law, and other application domains, so it is usually not considered to be a part of computer science.) - correct answers-Section E Where would you put deep learning? (Deep learning is a part of machine learning.) - correct answers-Section D Autonomous car - correct answers-Autonomous cars apply a wide range of techniques to function. These include statistics, robotics, and machine learning. Steering a rocket into orbit - correct answers-Robotics. (In order to steer a rocket into orbit robotics are needed to fire the engines at the right times and with the right power.) Online ad optimization - correct answers-Statistics and Machine Learning. (In order to optimize ads online, machine learning and statistics are needed to deliver the correct type of ads to the right audience, and to measure the effectiveness of the optimization.) Customer service chatbot - correct answers-Machine learning (A customer service chatbot will need machine learning to process human produced language in such a way that it can act on it.) Summarizing gallup results - correct answers-Statistics (Summarizing gallup results is a classical case of using statistics to produce insights.) Philosophy of AI - correct answers-The definition of AI I like best is that AI is an autonomous and adaptive system. The reason why I think this is the best definition is that it covers most of the AI capabilities that we are discovering today. I would define AI as an autonomous adaptive system that is used to do things that things on the internet do with very little human intervention. What state should be in box 1? - correct answers-State E [State E is the only option that is reachable from the left box on the second row.] What state should be in box 2? - correct answers-State B [since box 1 contains state E, there are two possibilities for box 2: states B and F. Choosing state F in box 2 would lead to a dead-end at box 5, so the correct option must be state B. Also note that box 2 has two transitions to other states, which implies that it must be a state where the two discs are on top of each other.] What state should be in box 3? - correct answers-State F [Since box 1 contains state E, there are two possibilities for box 3: states B and F. Choosing state B would lead to a dead end in box 5, so the correct choice must be state F.] What state should be in box 4? - correct answers-State D [State D is the only option that is reachable from the right box on the second row.] What state should be in box 5? - correct answers-State C What state should be in box 6? - correct answers-State A [Since box 4 contains state D, there are two possibilities for box 6: states A and C. Choosing state C would lead to a dead end in box 5, so the correct choice must be state A. Also note that box 6 has two transitions to other states, which implies that it must be a state where the two discs are on top of each other.] Exercise 5 - A smaller rowboat - correct answers-One of them is NNNN -> FNFN -> NNFN -> FFFN -> NFNN -> FFNF -> NFNF -> FFFF, and the other NNNN -> FNFN -> NNFN -> FNFF -> NNNF -> FFNF -> NFNF -> FFFF. (ANSWER IS 7) Look at the game tree starting from the below board position. Using a pencil and paper, fill in the values of the bottom-level nodes where the game is over. Note that this time some of the games end in a draw, which means that the values of the node is 0 (instead of -1 or 1). Next continue filling the values of the nodes in the next level up. Since there is no branching at that level, the values on the second-lowest level are the same as at the bottom level. On the second-highest level, fill in the values by choosing for each node the maximum of the values of the child nodes - as you notice, this is a MAX level. Finally, fill in the root node's value by choosing the minimum of the root node's child nodes' values. This is the value of the game. Enter the value of the game as your answer. - correct answers-The value is -1. The values on the second level are 0, 0, and -1. The values on the third level are -1, 0, -1, 0, -1, -1, which are the same as the values on the bottom level. As you can see, Max has all the reason to be serious since by playing in the bottom-right corner, Min can guarantee a win. The inevitable victory of Min can also be seen from the value of the game -1. The weather forecast says it's going to rain with 90% probability tomorrow but the day turns out to be all sun and no rain. - correct answers-Cannot be concluded [We can't conclude that the weather forecast was wrong based on only the single event. The forecast said it's going to rain with 90% probability, which means it would not rain with 10% probability or in one out of 10 days. It is perfectly plausible that the day in question was the 1 in 10 event. Concluding that the probability 90% was correct would also be wrong because by the same argument, we could then conclude that 80% chance of rain was also correct, and both cannot be correct at the same time.] The weather forecast says it's going to rain with 0% probability tomorrow but the day turns out to be rainy. - correct answers-Wrong [The