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NEW QUESTION 16
Which statement is true for naive Bayes?
- A. Let p(C1 | x) and p(C2 | x) be the conditional probabilities that x belongs to class C1 and C2 respectively, in a binary model, log p (C1 | x) - log p(C2 | x) > 0 results in predicting that x belongs to C2.
- B. Naive Bayes can be used for regression.
- C. Naive Bayes doesn't require any assumptions about the distribution of values associated with each class.
- D. Naive Bayes is a conditional probability model.
Answer: D
NEW QUESTION 17
A data analyst creates a term-document matrix for the following sentence: I saw a cat, a dog and another cat.
Assuming they used a binary vectorizer, what is the resulting weight for the word cat?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: D
NEW QUESTION 18
The least squares optimization technique (The Method of Least Squares) is used in which algorithm?
- A. Logistic regression
- B. Linear regression
- C. Naive Bayes classification
- D. Support Vector Machines
Answer: B
NEW QUESTION 19
A classification task has examples that are labeled as belonging to one of two classes:
*90% of the examples belong to class-1
*10% belong to class-2
Which two techniques are appropriate to deal with the class imbalance? (Choose two.)
- A. after training, divide the model accuracy of each class by the proportion that they represent in the dataset
- B. oversample the minority class and/or undersample the majority class
- C. lower the detection threshold of the minority class after training
- D. impose an additional cost on the model for making classification mistakes on the minority class during training
- E. apply dimensionality reduction to the features before training
Answer: A,D
NEW QUESTION 20
Which situation would disqualify a machine learning system from being used for a particular use case?
- A. Training and testing data for the model contain outliers.
- B. The use case requires a 100% likelihood of making a correct/true prediction.
- C. Data for the machine learning model is available only as static CSV files.
- D. The neural network for the model requires significantly more computing power than a logistic regression model.
Answer: D
NEW QUESTION 21
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. increase the depth of the neural network
- B. insert a dropout layer in the neural network architecture
- C. increase the proportion of the train dataset by moving examples from the validation dataset to the train dataset
- D. restart the training with a higher learning rate
Answer: D
NEW QUESTION 22
Which algorithm is best suited if a client needs full explainability of the machine learning model?
- A. logistic regression
- B. decision tree
- C. recurrent neural network
- D. support vector machine (SVM)
Answer: B
NEW QUESTION 23
Given two multidimensional arrays of the same data type, A and B which two Python NumPy statements give the matrix product of the two matrices? (Choose two.)
- A. A × B
- B. A * B
- C. A @ B
- D. np.matprod(A,B)
- E. np.dot(A,B)
Answer: B,D
NEW QUESTION 24
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. supervised learning
- B. unsupervised learning
- C. reinforcement learning
- D. mentoring
Answer: A
NEW QUESTION 25
What is the name of the design thinking work product that contains a summary description of a particular person or role?
- A. persona
- B. snapshot
- C. user summary report
- D. My Sticky Note
Answer: A
NEW QUESTION 26
What is used to scale large positive values during data cleaning?
- A. square
- B. logarithm
- C. subtract median
- D. division by random numbers
Answer: D
NEW QUESTION 27
With the help of AI algorithms, which type of analytics can help organizations make decisions based on facts and probability-weighted projections?
- A. descriptive analytics
- B. cognitive analytics
- C. predictive analytics
- D. prescriptive analytics
Answer: D
NEW QUESTION 28
Which is the most important thing to ensure while collecting data?
- A. samples collected are all strongly correlated with each other
- B. samples collected focus only on the most common cases
- C. samples collected adequately cover the space of all possible scenarios
- D. samples collected are skewed with each other
Answer: D
NEW QUESTION 29
If the distribution of the height of American men is approximately normal, with a mean of 69 inches and a standard deviation of 2.5 inches, then roughly 68 percent of American men have heights between and .
- A. 66.5 inches and 71.5 inches
- B. 71.5 inches and 76.5 inches
- C. 64 inches and 74 inches
- D. 66.5 inches and 69 inches
Answer: D
NEW QUESTION 30
Given the following matrix multiplication:
What is the value of P?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: B
NEW QUESTION 31
Which test is applied to determine the relationship between two categorical variables?
- A. paired t-test
- B. z test
- C. t-test
- D. chi squared test
Answer: D
NEW QUESTION 32
What is the primary role of a data steward?
- A. they have a strong understanding of the enterprise's database architecture
- B. they are a "blue sky thinker" who comes up with new approaches to use new data in innovative ways
- C. the one who collects, processes, and performs statistical analysis on data
- D. they define data processes to meet compliance and regulatory obligations
Answer: C
NEW QUESTION 33
What is the best step by step order for machine learning pipeline?
Answer:
Explanation:
NEW QUESTION 34
What is meant by part-of-speech tagging in the context of text analytics?
- A. finds the root word
- B. replaces words with synonyms, e g. answer for reply
- C. determines the category of a word, e.g nouns
- D. translates word by word
Answer: C
NEW QUESTION 35
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. Leverage only deep learning algorithms.
- C. Apply a limited number of data transformation steps from a pre-defined catalog of possible operations independent of the machine learning use case.
- D. Implement data transformation, feature extraction, feature engineering, and imputation algorithms in one single pipeline.
Answer: A
NEW QUESTION 36
What is the first step in creating a custom model in Watson Visual Recognition service?
- A. Obtain image files containing objects to be classified and organize them into classes.
- B. Document the errors from the built in models.
- C. Use IBM SPSS to create new machine learning classifiers.
- D. Test the newly trained model.
Answer: C
NEW QUESTION 37
Which statement defines p-value?
- A. It is the probability of accepting a null hypothesis when the hypothesis is proven true.
- 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 rejecting a null hypothesis when the hypothesis is proven false.
Answer: B
NEW QUESTION 38
Which statement is true in the context of evaluating metrics for machine learning algorithms?
- A. The F-score is always equal to precision
- B. A random classifier has AUC (the area under ROC curve) of 0.5
- C. Using only one evaluation metric is sufficient
- D. Recall of 1 (100%) is always a good result
Answer: C
NEW QUESTION 39
Which IBM Watson Machine Learning deployment method offers the ultimate flexibility in deploying a machine learning model?
- A. Watson Machine Learning FORTRAN client
- B. Watson Machine Learning REST API
- C. Watson Studio Project
- D. Watson Machine Learning Python client
Answer: B
NEW QUESTION 40
When communicating technical results to business stakeholders, what are three appropriate topics to include?
(Choose three.)
- A. alternative methods to address the business problem
- B. methods that failed
- C. differences between cloud provider portfolios
- D. realistic impact on the business measures
- E. benefits of cognitive over business analytics
- F. newest developments in AI methods
Answer: A,D,E
NEW QUESTION 41
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