Learn the most asked questions and answer in Artificial Intelligence, Machine Learning and DATA structures. Top 50 Most asked Questions and Answer in AI/ML/DS-2022.
| 1 .) Which of the following machine requires input from the humans but can interpret the outputs themselves? a. Actuators b. Sensor c. Agents d. AI system |
| 2 .) PCA is most useful for non linear type models. a. True b. False |
| 3 .) Which of the following is the best machine learning method? a. accuracy b. scalable c. fast d. All of above |
| 4 .) How do we perform Bayesian classification when some features are missing? a. We integrate the posteriors probabilities over the missing features b. We ignore the missing features c. We assuming the missing values d. as the mean of all values Drop the features completely |
| 5 .) Which of the following metacharacter is used to refer to any character? a. % b .@ c. All of the mentioned |
| 6 .) How the compactness of the bayesian network can be described? a. Locally structured b. Fully structured c. Partial structure d. All of the mentioned |
| 7 .) In what type of learning labeled training data is used___________________? a. supervised learning b. unsupervised learning c. reinforcement learning d. active learning |
| 8 .) Which of the following is a good test dataset characteristic? a. is representative of the dataset b. as a whole large enough to yield meaningful results c. All the above d. None of above |
| 59 .) Supervised learning and unsupervised clustering both require which is correct according to the statement. a. hidden attribute b .output attribute c. categorical attribute d. input attribute |
| 10 .) You are given reviews of few Netflix series marked as positive, negative and neutral. Classifying reviews of a new netflix series is an example of____________ a. unsupervised learning b. semi supervised learning c. supervised learning d. reinforcement learning |
| 11 .) First order logic Statements contains______. a. Predicate and Preposition b. Subject and an Object c. Predicate and Subject d. None of the above |
| 12 .) Following are the types of supervised learning________ a. regression b. classification c. subgroup discovery d. All of above |
| 13 .) Which algorithm is used in the Game tree to make decisions of Win/Lose? a. Heuristic Search Algorithm b. DFS/BFS algorithm c. Greedy Search Algorithm d. Min/Max algorithm |
| 14 .) What is a top-down parser? a. Begins by hypothesizing a sentence (the symbol S) and successively predicting lower level constituents until individual b. preterminal symbols are written Begins by hypothesizing a sentence (the symbol S) and successively predicting upper level constituents until individual c. preterminal symbols are written Begins by hypothesizing lower level constituents and successively predicting a sentence (the symbol S) d. Begins by hypothesizing upper level constituents and successively predicting a sentence (the symbol S) |
| 15 .) If machine learning model output involves target variable then that model is called as______________ a. predictive model b. reinforcement learning c. descriptive model d. All of above |
| 16 .) Which process makes two different Logical expressions look identical? a. Unification b. Lifting c. Inference Process d. None of the above |
| 17 .) What is a perception check? a. a cognitive bias that makes us listen only to information we already agree b. with a method teachers use to reward good listeners in the classroom c. any factor that gets in the way of good listening and decreases our ability to interpret correctly d. a response that allows you to state your interpretation and ask your partner whether or not that interpretation is correct |
| 18 .) Support Vector Machine is_______________ a. geometric model b. probabilistic model c. logical model d. none |
| 19 .) What is the consequence between a node and its predecessors while creating bayesian network? a. Functionally dependent b. Dependant Conditionally c. independent d. Both Conditionally dependant & Dependant |
| 20 .) What is a heuristic function? a. A function to solve mathematical problems b. A function which takes parameters of type string and returns an integer value c. A function whose return type is nothing d. A function that maps from problem state descriptions to measures of desirability |
| 21 .) What is the name of Artificial Intelligence which allows machines to handle vague information with a deftness that mimics human intuition? a. Human intelligence b. Boolean logic c. Functional logic d. Fuzzy logic |
| 22 .) A person trained to interact with a human expert in order to capture their knowledge a. knowledge developer b. knowledge programmer c. knowledge engineer d. knowledge extractor |
| 23 .) The total number of proposition symbols in AI are ____ a. 3 proposition symbols b. 1 proposition symbols c. 2 proposition symbols d. No proposition symbols |
| 24 .) The process of capturing the inference process as Single Inference Rule is known as: a. Clauses Ponens b. Generalized Modus c. Ponens d. Variables |
| 25 .) How many types of agents are there in artificial intelligence? a. 1 b .2 c. 3 d. 4 |
| 26 .) A column is a _________- representation of data. a. Diagonal b. Vertical c. Top d. Horizontal |
| 27 .) Web Crawler is an example of______. a. Intelligent Agent b. Problem-solving agent c. Simple reflex agent d. Model-based agent |
| 28 .) If machine learning model output doesn’t involves target variable then that model is called as_______________ a. predictive model b. descriptive model c. reinforcement learning d. all of the above |
| 29 .) Which learning Requires Self Assessment to identify patterns within data? a. supervised learning b. unsupervised learning c. semi supervised learning d. reinforced learning |
| 30 .) PCA is_________________ a. backward feature selection b. forward feature selection c. feature extraction d. None of these |
| 31 .) Point out the correct statement. a. Raw data is original source of data b. Preprocessed data is original source of data c. Raw data is the data obtained after processing steps d. None of the above |
| 32 .) To campare data we can use _____ chart a. Line b. Bar c. Pie d. Scatter |
| 33 .) We write ______ in front of mean to let Python know that we want to activate the mean function from the Numpy library. a. .npm. b. .np. c .ng. d. .ngm. |
| 34 .) Which of the following is not a type of Artificial Intelligence agent? a. Learning AI agent b. Goal-based AI agent c. Simple reflex AI agent d. Unity-based AI agent |
| 35 .) Which of the following statements is incorrect about the hierarchal clustering? a. The hierarchal type of clustering is also known as the HCA b. The choice of an appropriate metric can influence the shape of the cluster c. In general, the splits and merges both are determined in a greedy manner d. All of the above |
| 36 .) Which of the following function take only single value as input? a. iscomplex b. minimum c. fmin d. all of the mentioned |
| 37 .) Which of the following function can be used for forecasting? a. predict b. forecast c. ets d. all of the mentioned |
| 38 .) Which of the following is an example of feature extraction? a a. pplying pca to project high dimensional data b. construction bag of words from an email c. removing stop words d. forward selection |
| 39 .) A correct way to preprocess the data When performing regression or classification is a. Normalize the data → PCA → training b. PCA → normalize PCA output → training c. Normalize the data → PCA → normalize d. PCA output → training None of the above |
| 40 .) Which of the following are the approaches to Artificial Intelligence? a. Applied approach b. Strong approach c. Weak approach d. All of the mentioned |
| 41 .) What is Decision Tree? a. Flow-Chart b. Structure in which internal node represents test on an attribute, each branch represents outcome of test and each leaf node represents class label c. Structure in which internal node represents test on an attribute, each branch represents outcome of test and each leaf node represents class label d. None of the mentioned |
| 42 .) What is the name of the Artificial Intelligence system developed by Daniel Bobrow? a. program known as BACON b. system known as STUDENT c. program known as SHRDLU d. system known as SIMD |
| 43 .) Which is the most significant language for Data Science? a. R b. Ruby c. Java d. None of these |
| 44 .) Predicting with trees evaluate _____________ within each group of data. a. equality b. homogeneity c. heterogeneity d. all of the mentioned |
| 45 .) Which of the following approach should be used if you can’t fix the variable? a. randomize it b. non stratify it c. generalize it d. none of the mentioned |
| 46 .) Which instruments are used for perceiving and acting upon the environment? a. Sensors and Actuators b. Sensors c. Perceiver d. None of the mentioned |
| 47 .) The effectiveness of an SVM depends upon________________ a. kernel parameters b. selection of kernel c. soft margin parameter d. All of the above |
| 48 .) Ways to achieve AI in real-life are_________. Machine Learning Deep Learning Both a & b None of the above |
| 49 .) The output of training process in machine learning is________________ a. machine learning algorithm b. machine learning model c. null d. accuracy |
| 50 .) Of the Following Examples, Which would you address using an supervised learning Algorithm? a. given a set of news articles found on the web, group them into set of articles about the same story b. given email labeled as spam or not spam, learn a spam filter c. given a database of customer data, automatically discover market segments and group customers into different market segments d. find the patterns in market basket analysis |
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