[Jan-2022] Exam C1000-059: New Brain Dump Professional - PassLeaderVCE
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NEW QUESTION 10
What are two hyperparameters used when building a k-means model? (Choose two.)
- A. number of iterations
- B. learning rate
- C. kernel
- D. number of clusters
- E. number of neighbors
Answer: A,D
NEW QUESTION 11
With the help of AI algorithms, which type of analytics can help organizations make decisions based on facts and probability-weighted projections?
- A. prescriptive analytics
- B. cognitive analytics
- C. descriptive analytics
- D. predictive analytics
Answer: A
NEW QUESTION 12
Which statement is true for naive Bayes?
- A. Naive Bayes can be used for regression.
- B. Naive Bayes doesn't require any assumptions about the distribution of values associated with each class.
- C. Naive Bayes is a conditional probability model.
- D. 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.
Answer: C
NEW QUESTION 13
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. reinforcement learning
- C. feedback-based optimization
- D. dynamic programming
Answer: B
NEW QUESTION 14
Given two multidimensional arrays of the same data type, A and B which two Python NumPy statements give the matrix product of the two matrices? (Choose two.)
- A. np.dot(A,B)
- B. A @ B
- C. A * B
- D. A × B
- E. np.matprod(A,B)
Answer: C,E
NEW QUESTION 15
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. mentoring
- B. supervised learning
- C. unsupervised learning
- D. reinforcement learning
Answer: B
NEW QUESTION 16
Given the following matrix multiplication:
What is the value of P?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: A
NEW QUESTION 17
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 18
What is the main difference between traditional programming and machine learning?
- A. Machine learning is optimized to run on parallel computing and cloud computing.
- B. Machine learning takes full advantage of SDKs and APIs.
- C. Machine learning does not require explicit coding of decision logic.
- D. Machine learning models take less time to train.
Answer: C
NEW QUESTION 19
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 20
What is the primary role of a data steward?
- A. they are a "blue sky thinker" who comes up with new approaches to use new data in innovative ways
- B. they define data processes to meet compliance and regulatory obligations
- C. they have a strong understanding of the enterprise's database architecture
- D. the one who collects, processes, and performs statistical analysis on data
Answer: D
NEW QUESTION 21
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. lower the detection threshold of the minority class after training
- B. oversample the minority class and/or undersample the majority class
- C. impose an additional cost on the model for making classification mistakes on the minority class during training
- D. apply dimensionality reduction to the features before training
- E. after training, divide the model accuracy of each class by the proportion that they represent in the dataset
Answer: C,E
NEW QUESTION 22
Which one is the most appropriate use case for artificial intelligence (AI)?
- A. detecting objects in video streams
- B. creating a pivot table with monthly costs
- C. aggregating sales revenue per state
- D. compressing large video files
Answer: C
NEW QUESTION 23
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 24
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 25
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. The amount of computational power you can access.
- C. Whether you use batch or mini-batch optimization.
- D. The number of hyperparameters you have to tune.
Answer: B
NEW QUESTION 26
What are the various components that make up a time series data?
- A. trend, noise, covariance
- B. trend, seasonality, noise
- C. trend, seasonality, causation
- D. trend, noise, kurtosis
Answer: B
NEW QUESTION 27
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. increase the proportion of the train dataset by moving examples from the validation dataset to the train dataset
- C. restart the training with a higher learning rate
- D. increase the depth of the neural network
Answer: C
NEW QUESTION 28
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 29
A new test to diagnose a disease is evaluated on 1152 people, and 106 people have the disease, and 1046 people do not have the disease. The test results are summarized below:
In this sample, how many cases are false positives and false negatives?
- A. 81 false positives and 73 false negatives
- B. 81 false positives and 33 false negatives
- C. 33 false positives and 81 false negatives
- D. 73 false positives and 81 false negatives
Answer: C
NEW QUESTION 30
What is used to scale large positive values during data cleaning?
- A. subtract median
- B. square
- C. logarithm
- D. division by random numbers
Answer: D
NEW QUESTION 31
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