[Jan-2022] IBM C1000-059 Dumps - Secret To Pass in First Attempt [Q19-Q39]

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[Jan-2022] IBM C1000-059 Dumps - Secret To Pass in First Attempt

IBM C1000-059 Exam Dumps [2022] Practice Valid Exam Dumps Question

NEW QUESTION 19
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', 'run']
  • B. ['a', 'dog', 'fence', 'jumps', 'over', 'the']
  • C. ['fence', 'jumps']
  • D. ['dog', 'fence', 'jumps']

Answer: D

 

NEW QUESTION 20
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 = affine2(max(affine1(x), 0))
  • B. y = ReLU(affine1(x), affine2(x))
  • C. y = max(affine1(x), affine2(x))
  • D. y = affine1(ReLU(affine2(x)))
  • E. y = affine2(ReLU(affine1(x)))

Answer: A,E

 

NEW QUESTION 21
The least squares optimization technique (The Method of Least Squares) is used in which algorithm?

  • A. Linear regression
  • B. Logistic regression
  • C. Naive Bayes classification
  • D. Support Vector Machines

Answer: A

 

NEW QUESTION 22
What is meant by the curse of dimensionality?

  • A. The number of available data sources 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 algorithms for a given task is high.

Answer: A

 

NEW QUESTION 23
What are three operators used by genetic programming? (Choose three.)

  • A. sheltering
  • B. reciprocation
  • C. crossover
  • D. duel
  • E. mutation
  • F. selection

Answer: C,D,F

 

NEW QUESTION 24
What are three elements that are typically part of a machine learning pipeline in scikit-learn or pyspark?
(Choose three.)

  • A. data exploration
  • B. model building
  • C. model prediction
  • D. business understanding
  • E. use case selection
  • F. data preprocessing

Answer: A,C,F

 

NEW QUESTION 25
Which is a technique that automates the handling of categorical variables?

  • A. binary encoding
  • B. decoding
  • C. one-hot encoding
  • D. autoencoding

Answer: C

 

NEW QUESTION 26
What is the goal of the backpropagation algorithm?

  • A. to randomize the trajectory of the neural network parameters during training
  • B. to compute the gradient of the loss function with respect to the neural network parameters
  • C. to scale the gradient descent step in proportion to the gradient magnitude
  • D. to smooth the gradient of the loss function in order to avoid getting trapped in small local minimas

Answer: D

 

NEW QUESTION 27
Which is the most important thing to ensure while collecting data?

  • A. samples collected are all strongly correlated with each other
  • B. samples collected are skewed with each other
  • C. samples collected adequately cover the space of all possible scenarios
  • D. samples collected focus only on the most common cases

Answer: B

 

NEW QUESTION 28
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. differences between cloud provider portfolios
  • C. methods that failed
  • D. benefits of cognitive over business analytics
  • E. realistic impact on the business measures
  • F. newest developments in AI methods

Answer: A,D,E

 

NEW QUESTION 29
With only limited labeled data available how might a neural network use case be realized?

  • A. by creating random data
  • B. by assigning random labels
  • C. by using a customized pre-trained model
  • D. by increasing the depth of the neural network

Answer: C

 

NEW QUESTION 30
In which example would recall be preferred over precision?

  • A. identify suitable candidates for a job
  • B. detection of malignant tumors
  • C. recall is always preferred
  • D. book recommendation

Answer: B

 

NEW QUESTION 31
When should median value be used instead of mean value for imputing missing data?

  • A. for skewed data
  • B. for real numbers
  • C. for large data sets
  • D. for normally distributed data

Answer: C

 

NEW QUESTION 32
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. finds the root word
  • D. replaces words with synonyms, e g. answer for reply

Answer: B

 

NEW QUESTION 33
Which test is applied to determine the relationship between two categorical variables?

  • A. z test
  • B. paired t-test
  • C. chi squared test
  • D. t-test

Answer: C

 

NEW QUESTION 34
Determine the number of bigrams and trigrams in the sentence. "Data is the new oil".

  • A. 3 bigrams, 4 trigrams
  • B. 4 bigrams, 4 trigrams
  • C. 3 bigrams, 3 trigrams
  • D. 4 bigrams, 3 trigrams

Answer: C

 

NEW QUESTION 35
What is the best step by step order for machine learning pipeline?

Answer:

Explanation:

 

NEW QUESTION 36
Which two statements are correct about deploying machine learning models? (Choose two.)

  • A. It is critical for achieving high accuracy in training.
  • B. It is a necessary step in training and evaluating the performance of the models.
  • C. It is only possible on the cloud because they require a large amount of compute resources.
  • D. It allows integration within business applications.
  • E. It makes it possible to create reports for management dynamically using specific parameters from executives.

Answer: A,B

 

NEW QUESTION 37
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. Box of Lexicon
  • C. Bag of Words
  • D. Cup of Vectors

Answer: C

 

NEW QUESTION 38
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. Find the sum of the transaction prices
  • B. Generate a pivot table
  • C. Write a GROUP BY query
  • D. Select the largest transaction amount by month and store
  • E. Plot a time series plot of transaction amounts

Answer: D,E

 

NEW QUESTION 39
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