Latest IBM C1000-059 Exam questions and answers
SureTorrent C1000-059 Exam Practice Test Questions (Updated 64 Questions)
NEW QUESTION 31
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 32
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 33
When communicating technical results to business stakeholders, what are three appropriate topics to include?
(Choose three.)
- A. realistic impact on the business measures
- B. benefits of cognitive over business analytics
- C. newest developments in AI methods
- D. alternative methods to address the business problem
- E. differences between cloud provider portfolios
- F. methods that failed
Answer: A,B,D
NEW QUESTION 34
After importing a Jupyter notebook and CSV data file into IBM Watson Studio in the IBM Public Cloud project, it is discovered that the notebook code can no longer access the CSV file.
What is the most likely reason for this problem?
- A. The CSV file is stored in a Cloud Object Storage.
- B. CSV files cannot be used as data sources in Watson Studio.
- C. The CSV file was converted to a binary blob and must be converted in the notebook code.
- D. The CSV file is stored in a Watson Machine Learning instance and is only accessible via REST API.
Answer: A
NEW QUESTION 35
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 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
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 38
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 39
Which statement is true for naive Bayes?
- A. Naive Bayes is a conditional probability model.
- B. Naive Bayes doesn't require any assumptions about the distribution of values associated with each class.
- C. 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.
- D. Naive Bayes can be used for regression.
Answer: A
NEW QUESTION 40
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 41
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 42
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 43
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 44
Which distance is applied for multivariate outlier detection?
- A. Minkowski distance
- B. Manhattan distance
- C. Mahalanobis distance
- D. Euclidean distance
Answer: C
NEW QUESTION 45
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 46
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 47
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 48
Given the following matrix multiplication:
What is the value of P?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: A
NEW QUESTION 49
Which statement is true in the context of evaluating metrics for machine learning algorithms?
- A. Using only one evaluation metric is sufficient
- B. The F-score is always equal to precision
- C. A random classifier has AUC (the area under ROC curve) of 0.5
- D. Recall of 1 (100%) is always a good result
Answer: A
NEW QUESTION 50
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 51
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 52
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 53
What is the best step by step order for machine learning pipeline?
Answer:
Explanation:
NEW QUESTION 54
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 55
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