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NEW QUESTION 27
What is meant by the curse of dimensionality?
- A. The number of available algorithms for a given task is high.
- B. The data sparsity becomes more severe as the number of samples is increased.
- C. The data sparsity becomes more severe as the number of features is increased.
- D. The number of available data sources for a given task is high.
Answer: D
NEW QUESTION 28
In machine vision, the algorithm for detecting objects or features in an image based on a target pattern is known as?
- A. OCR
- B. Hough transformation
- C. Fourier transform
- D. normalized correlation
Answer: D
NEW QUESTION 29
Which algorithm is best suited if a client needs full explainability of the machine learning model?
- A. decision tree
- B. recurrent neural network
- C. support vector machine (SVM)
- D. logistic regression
Answer: A
NEW QUESTION 30
Which fine-tuning technique does not optimize the hyperparameters of a machine learning model?
- A. random search
- B. hyperband
- C. grid search
- D. population based training
Answer: B
NEW QUESTION 31
The least squares optimization technique (The Method of Least Squares) is used in which algorithm?
- A. Linear regression
- B. Naive Bayes classification
- C. Support Vector Machines
- D. Logistic regression
Answer: A
NEW QUESTION 32
Which measure can be used to show business stakeholders the likelihood that a machine learning model will generate a true prediction?
- A. skewness
- B. accuracy
- C. mean
- D. variance
Answer: B
NEW QUESTION 33
Which is a technique that automates the handling of categorical variables?
- A. one-hot encoding
- B. autoencoding
- C. decoding
- D. binary encoding
Answer: A
NEW QUESTION 34
The formula for recall is given by (True Positives) / (True Positives + False Negatives). What is the recall for this example?
- A. 0.33
- B. 0.25
- C. 0.2
- D. 0.5
Answer: B
NEW QUESTION 35
Which two properties hold true for standardized variables (also known as z-score normalization)? (Choose two.)
- A. standard deviation = 1
- B. expected value = 0
- C. expected value = 0.5
- D. expected value = 1
- E. standard deviation = 0.5
Answer: A,C
NEW QUESTION 36
What is used to scale large positive values during data cleaning?
- A. division by random numbers
- B. subtract median
- C. square
- D. logarithm
Answer: A
NEW QUESTION 37
Which is a preferred approach for simplifying the data transformation steps in machine learning model management and maintenance?
- A. Do not apply any data transformation or feature extraction or feature engineering steps.
- B. Apply a limited number of data transformation steps from a pre-defined catalog of possible operations independent of the machine learning use case.
- C. Leverage only deep learning algorithms.
- D. Implement data transformation, feature extraction, feature engineering, and imputation algorithms in one single pipeline.
Answer: A
NEW QUESTION 38
What is a class of machine learning problems where the algorithm builds a mathematical model from a set of data that contains both the inputs and the desired outputs?
- A. reinforcement learning
- B. unsupervised learning
- C. mentoring
- D. supervised learning
Answer: D
NEW QUESTION 39
Which distance is applied for multivariate outlier detection?
- A. Minkowski distance
- B. Manhattan distance
- C. Mahalanobis distance
- D. Euclidean distance
Answer: C
NEW QUESTION 40
What is the meaning of "deep" in deep learning?
- A. A kind of deeper understanding achieved by any approach taken.
- B. To go deep into the loss function landscape.
- C. It indicates the many layers contributing to a model of the data.
- D. The higher the number of machine learning algorithms that can be applied, the deeper is the learning.
Answer: C
NEW QUESTION 41
Determine the number of bigrams and trigrams in the sentence. "Data is the new oil".
- A. 4 bigrams, 4 trigrams
- B. 4 bigrams, 3 trigrams
- C. 3 bigrams, 3 trigrams
- D. 3 bigrams, 4 trigrams
Answer: C
NEW QUESTION 42
A neural network is composed of a first affine transformation (affine1) followed by a ReLU non-linearity, followed by a second affine transformation (affine2).
Which two explicit functions are implemented by this neural network? (Choose two.)
- A. y = max(affine1(x), affine2(x))
- B. y = affine2(ReLU(affine1(x)))
- C. y = ReLU(affine1(x), affine2(x))
- D. y = affine2(max(affine1(x), 0))
- E. y = affine1(ReLU(affine2(x)))
Answer: B,D
NEW QUESTION 43
What is the technique called for vectorizing text data which matches the words in different sentences to determine if the sentences are similar?
- A. Sack of Sentences
- B. Cup of Vectors
- C. Box of Lexicon
- D. Bag of Words
Answer: D
NEW QUESTION 44
Which statement defines p-value?
- A. It is the probability of rejecting a null hypothesis when the hypothesis is proven false.
- B. It is the probability of accepting a null hypothesis when the hypothesis is proven false.
- C. It is the probability of rejecting a null hypothesis when the hypothesis is proven true.
- D. It is the probability of accepting a null hypothesis when the hypothesis is proven true.
Answer: B
NEW QUESTION 45
Considering one ML application is deployed using Kubernetes, its output depends on the data which is constantly stored in the model, if needing to scale the system based on available CPUs, what feature should be enabled?
- A. node self-registration mode
- B. horizontal pod autoscaling
- C. vertical pod autoscaling
- D. persistent storage
Answer: D
NEW QUESTION 46
What is a class of machine learning problems where the algorithm is given feedback in the form of positive or negative reward in a dynamic environment?
- A. reward learning
- B. dynamic programming
- C. feedback-based optimization
- D. reinforcement learning
Answer: D
NEW QUESTION 47
What are two methods used to detect outliers in structured data? (Choose two.)
- A. multi-label classification
- B. Word2Vec
- C. one class Support Vector Machine (SVM)
- D. gradient descent
- E. isolation forest
Answer: C,E
NEW QUESTION 48
With the help of AI algorithms, which type of analytics can help organizations make decisions based on facts and probability-weighted projections?
- A. cognitive analytics
- B. prescriptive analytics
- C. descriptive analytics
- D. predictive analytics
Answer: B
NEW QUESTION 49
Given the following sentence:
The dog jumps over a fence.
What would a vectorized version after common English stopword removal look like?
- A. ['dog', 'fence', 'jumps']
- B. ['a', 'dog', 'fence', 'jumps', 'over', 'the']
- C. ['dog', 'fence', 'run']
- D. ['fence', 'jumps']
Answer: A
NEW QUESTION 50
A neural network is trained for a classification task. During training, you monitor the loss function for the train dataset and the validation dataset, along with the accuracy for the validation dataset. The goal is to get an accuracy of 95%.
From the graph, what modification would be appropriate to improve the performance of the model?
- A. insert a dropout layer in the neural network architecture
- B. restart the training with a higher learning rate
- C. increase the proportion of the train dataset by moving examples from the validation dataset to the train dataset
- D. increase the depth of the neural network
Answer: B
NEW QUESTION 51
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