[Oct-2021] Dumps Brief Outline Of The C1000-059 Exam - VCEPrep
C1000-059 Training & Certification Get Latest IBM Data and AI: Data and AI
NEW QUESTION 31
Which two properties hold true for standardized variables (also known as z-score normalization)? (Choose two.)
- A. standard deviation = 0.5
- B. expected value = 0.5
- C. expected value = 0
- D. expected value = 1
- E. standard deviation = 1
Answer: B,E
NEW QUESTION 32
What is the best step by step order for machine learning pipeline?
Answer:
Explanation:
NEW QUESTION 33
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 34
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 35
What is the main difference between traditional programming and machine learning?
- A. Machine learning does not require explicit coding of decision logic.
- B. Machine learning models take less time to train.
- C. Machine learning takes full advantage of SDKs and APIs.
- D. Machine learning is optimized to run on parallel computing and cloud computing.
Answer: A
NEW QUESTION 36
What are three operators used by genetic programming? (Choose three.)
- A. crossover
- B. duel
- C. reciprocation
- D. mutation
- E. selection
- F. sheltering
Answer: A,B,E
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. 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 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', 'run']
- B. ['fence', 'jumps']
- C. ['dog', 'fence', 'jumps']
- D. ['a', 'dog', 'fence', 'jumps', 'over', 'the']
Answer: C
NEW QUESTION 39
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 = affine1(ReLU(affine2(x)))
- B. y = max(affine1(x), affine2(x))
- C. y = ReLU(affine1(x), affine2(x))
- D. y = affine2(max(affine1(x), 0))
- E. y = affine2(ReLU(affine1(x)))
Answer: D,E
NEW QUESTION 40
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 41
What is an example of a supervised machine learning algorithm that can be applied to a continuous numeric response variable?
- A. local outlier factor (LOF)
- B. linear regression
- C. k-means
- D. naive Bayes
Answer: B
NEW QUESTION 42
What are three elements that are typically part of a machine learning pipeline in scikit-learn or pyspark?
(Choose three.)
- A. business understanding
- B. model prediction
- C. model building
- D. data preprocessing
- E. data exploration
- F. use case selection
Answer: B,D,E
NEW QUESTION 43
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 44
With only limited labeled data available how might a neural network use case be realized?
- A. by creating random data
- B. by using a customized pre-trained model
- C. by increasing the depth of the neural network
- D. by assigning random labels
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. vertical pod autoscaling
- C. persistent storage
- D. horizontal pod autoscaling
Answer: C
NEW QUESTION 46
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 47
Determine the number of bigrams and trigrams in the sentence. "Data is the new oil".
- A. 3 bigrams, 3 trigrams
- B. 4 bigrams, 4 trigrams
- C. 3 bigrams, 4 trigrams
- D. 4 bigrams, 3 trigrams
Answer: A
NEW QUESTION 48
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