Latest IBM C1000-059 Exam questions and answers
ExamPrepAway C1000-059 Exam Practice Test Questions (Updated 64 Questions)
NEW QUESTION 35
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 36
Which fine-tuning technique does not optimize the hyperparameters of a machine learning model?
- A. random search
- B. hyperband
- C. grid search
- D. population based training
Answer: B
NEW QUESTION 37
What is the best step by step order for machine learning pipeline?
Answer:
Explanation:
NEW QUESTION 38
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 39
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. reinforcement learning
- B. unsupervised learning
- C. mentoring
- D. supervised learning
Answer: D
NEW QUESTION 40
Which two statements are correct about deploying machine learning models? (Choose two.)
- A. It makes it possible to create reports for management dynamically using specific parameters from executives.
- B. It allows integration within business applications.
- C. It is a necessary step in training and evaluating the performance of the models.
- D. It is critical for achieving high accuracy in training.
- E. It is only possible on the cloud because they require a large amount of compute resources.
Answer: C,D
NEW QUESTION 41
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 42
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 43
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 44
Which two properties hold true for standardized variables (also known as z-score normalization)? (Choose two.)
- A. standard deviation = 1
- B. expected value = 0
- C. expected value = 0.5
- D. expected value = 1
- E. standard deviation = 0.5
Answer: A,C
NEW QUESTION 45
What are the various components that make up a time series data?
- A. trend, seasonality, noise
- B. trend, noise, covariance
- C. trend, noise, kurtosis
- D. trend, seasonality, causation
Answer: A
NEW QUESTION 46
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 47
In machine vision, the algorithm for detecting objects or features in an image based on a target pattern is known as?
- A. OCR
- B. Hough transformation
- C. Fourier transform
- D. normalized correlation
Answer: D
NEW QUESTION 48
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 49
What is the meaning of "deep" in deep learning?
- A. A kind of deeper understanding achieved by any approach taken.
- B. To go deep into the loss function landscape.
- C. It indicates the many layers contributing to a model of the data.
- D. The higher the number of machine learning algorithms that can be applied, the deeper is the learning.
Answer: C
NEW QUESTION 50
Which one is the most appropriate use case for artificial intelligence (AI)?
- A. detecting objects in video streams
- B. aggregating sales revenue per state
- C. compressing large video files
- D. creating a pivot table with monthly costs
Answer: B
NEW QUESTION 51
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 52
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 53
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 54
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 55
With only limited labeled data available how might a neural network use case be realized?
- A. by creating random data
- B. by increasing the depth of the neural network
- C. by assigning random labels
- D. by using a customized pre-trained model
Answer: D
NEW QUESTION 56
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 57
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 58
What are two hyperparameters used when building a k-means model? (Choose two.)
- A. number of iterations
- B. number of clusters
- C. number of neighbors
- D. learning rate
- E. kernel
Answer: A,B
NEW QUESTION 59
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