[Oct-2021] Exam C1000-059: New Brain Dump Professional - PassLeader
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NEW QUESTION 22
What is the name of the design thinking work product that contains a summary description of a particular person or role?
- A. snapshot
- B. persona
- C. user summary report
- D. My Sticky Note
Answer: B
NEW QUESTION 23
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. oversample the minority class and/or undersample the majority class
- B. impose an additional cost on the model for making classification mistakes on the minority class during training
- C. after training, divide the model accuracy of each class by the proportion that they represent in the dataset
- D. lower the detection threshold of the minority class after training
- E. apply dimensionality reduction to the features before training
Answer: B,C
NEW QUESTION 24
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 25
What is meant by part-of-speech tagging in the context of text analytics?
- A. translates word by word
- B. determines the category of a word, e.g nouns
- C. replaces words with synonyms, e g. answer for reply
- D. finds the root word
Answer: B
NEW QUESTION 26
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 27
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.dot(A,B)
- E. np.matprod(A,B)
Answer: B,E
NEW QUESTION 28
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 29
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 30
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 31
A data scientist is exploring transaction data from a chain of stores with several locations. The data includes store number, date of sale, and purchase amount.
If the data scientist wants to compare total monthly sales between stores, which two options would be good ways to aggregate the data? (Choose two.)
- A. Plot a time series plot of transaction amounts
- B. Find the sum of the transaction prices
- C. Select the largest transaction amount by month and store
- D. Generate a pivot table
- E. Write a GROUP BY query
Answer: A,C
NEW QUESTION 32
Select the three computing languages that IBM Cloud Object Storage SDK supports. (Choose three.)
- A. C/C++
- B. PHP
- C. Swift
- D. Node.js
- E. Python
- F. Java
Answer: D,E,F
NEW QUESTION 33
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 69 inches
- B. 66.5 inches and 71.5 inches
- C. 71.5 inches and 76.5 inches
- D. 64 inches and 74 inches
Answer: A
NEW QUESTION 34
What is the goal of the backpropagation algorithm?
- A. to compute the gradient of the loss function with respect to the neural network parameters
- B. to scale the gradient descent step in proportion to the gradient magnitude
- C. to smooth the gradient of the loss function in order to avoid getting trapped in small local minimas
- D. to randomize the trajectory of the neural network parameters during training
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. 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 36
Which of the following entity extraction techniques would be best for the extraction of telephone numbers from a text document?
- A. regex
- B. statistical
- C. dictionary
- D. complex pattern-based
Answer: B
NEW QUESTION 37
What is the main difference between traditional programming and machine learning?
- A. Machine learning takes full advantage of SDKs and APIs.
- B. Machine learning does not require explicit coding of decision logic.
- C. Machine learning models take less time to train.
- D. Machine learning is optimized to run on parallel computing and cloud computing.
Answer: B
NEW QUESTION 38
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 39
Which is the most important thing to ensure while collecting data?
- A. samples collected adequately cover the space of all possible scenarios
- B. samples collected focus only on the most common cases
- C. samples collected are skewed with each other
- D. samples collected are all strongly correlated with each other
Answer: C
NEW QUESTION 40
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 41
What are three operators used by genetic programming? (Choose three.)
- A. sheltering
- B. mutation
- C. crossover
- D. selection
- E. reciprocation
- F. duel
Answer: C,D,F
NEW QUESTION 42
Which test is applied to determine the relationship between two categorical variables?
- A. z test
- B. chi squared test
- C. t-test
- D. paired t-test
Answer: B
NEW QUESTION 43
When should median value be used instead of mean value for imputing missing data?
- A. for skewed data
- B. for normally distributed data
- C. for real numbers
- D. for large data sets
Answer: D
NEW QUESTION 44
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