IBM Data and AI: Data and AI C1000-059 Real Exam Questions and Answers FREE Updated on Jan 31, 2022
C1000-059 Ultimate Study Guide - ExamTorrent
NEW QUESTION 21
What is the meaning of "deep" in deep learning?
- A. To go deep into the loss function landscape.
- B. The higher the number of machine learning algorithms that can be applied, the deeper is the learning.
- C. A kind of deeper understanding achieved by any approach taken.
- D. It indicates the many layers contributing to a model of the data.
Answer: D
NEW QUESTION 22
With only limited labeled data available how might a neural network use case be realized?
- A. by using a customized pre-trained model
- B. by increasing the depth of the neural network
- C. by creating random data
- D. by assigning random labels
Answer: A
NEW QUESTION 23
What are two methods used to detect outliers in structured data? (Choose two.)
- A. Word2Vec
- B. one class Support Vector Machine (SVM)
- C. isolation forest
- D. gradient descent
- E. multi-label classification
Answer: B,C
NEW QUESTION 24
In a hyperparameter search, whether a single model is trained or a lot of models are trained in parallel is largely determined by?
- A. The presence of local minima in your neural network.
- B. Whether you use batch or mini-batch optimization.
- C. The amount of computational power you can access.
- D. The number of hyperparameters you have to tune.
Answer: C
NEW QUESTION 25
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. supervised learning
- B. unsupervised learning
- C. mentoring
- D. reinforcement learning
Answer: A
NEW QUESTION 26
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. newest developments in AI methods
- E. benefits of cognitive over business analytics
- F. realistic impact on the business measures
Answer: A,E,F
NEW QUESTION 27
Which is the most important thing to ensure while collecting data?
- A. samples collected are skewed with each other
- B. samples collected are all strongly correlated 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: A
NEW QUESTION 28
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. 71.5 inches and 76.5 inches
- B. 66.5 inches and 71.5 inches
- C. 66.5 inches and 69 inches
- D. 64 inches and 74 inches
Answer: C
NEW QUESTION 29
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 depth of the neural network
- D. increase the proportion of the train dataset by moving examples from the validation dataset to the train dataset
Answer: B
NEW QUESTION 30
Determine the number of bigrams and trigrams in the sentence. "Data is the new oil".
- A. 4 bigrams, 3 trigrams
- B. 3 bigrams, 3 trigrams
- C. 3 bigrams, 4 trigrams
- D. 4 bigrams, 4 trigrams
Answer: B
NEW QUESTION 31
What is the first step in creating a custom model in Watson Visual Recognition service?
- A. Document the errors from the built in models.
- B. Use IBM SPSS to create new machine learning classifiers.
- C. Obtain image files containing objects to be classified and organize them into classes.
- D. Test the newly trained model.
Answer: B
NEW QUESTION 32
Which statement is true for naive Bayes?
- A. Naive Bayes is a conditional probability model.
- B. 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.
- C. Naive Bayes can be used for regression.
- D. Naive Bayes doesn't require any assumptions about the distribution of values associated with each class.
Answer: A
NEW QUESTION 33
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 34
Which test is applied to determine the relationship between two categorical variables?
- A. chi squared test
- B. t-test
- C. z test
- D. paired t-test
Answer: A
NEW QUESTION 35
Which algorithm is best suited if a client needs full explainability of the machine learning model?
- A. logistic regression
- B. recurrent neural network
- C. support vector machine (SVM)
- D. decision tree
Answer: D
NEW QUESTION 36
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. Write a GROUP BY query
- B. Plot a time series plot of transaction amounts
- C. Find the sum of the transaction prices
- D. Generate a pivot table
- E. Select the largest transaction amount by month and store
Answer: B,E
NEW QUESTION 37
What is an example of a supervised machine learning algorithm that can be applied to a continuous numeric response variable?
- A. naive Bayes
- B. linear regression
- C. local outlier factor (LOF)
- D. k-means
Answer: B
NEW QUESTION 38
In machine vision, the algorithm for detecting objects or features in an image based on a target pattern is known as?
- A. normalized correlation
- B. Fourier transform
- C. OCR
- D. Hough transformation
Answer: A
NEW QUESTION 39
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