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NEW QUESTION 14
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. increase the depth of the neural network
- B. restart the training with a higher learning rate
- C. insert a dropout layer in the neural network architecture
- D. increase the proportion of the train dataset by moving examples from the validation dataset to the train dataset
Answer: B
NEW QUESTION 15
Which is an example of a nominal scale data?
- A. a variable mood with a scale of values unhappy, ok, and happy
- B. a variable bank account balance whose possible values are $5, $10, and $15
- C. a variable temperature with a scale of values low, medium, and high
- D. a variable industry with categorical values such as financial, engineering, and retail
Answer: B
NEW QUESTION 16
Which is a preferred approach for simplifying the data transformation steps in machine learning model management and maintenance?
- A. Leverage only deep learning algorithms.
- B. Implement data transformation, feature extraction, feature engineering, and imputation algorithms in one single pipeline.
- C. Do not apply any data transformation or feature extraction or feature engineering steps.
- D. Apply a limited number of data transformation steps from a pre-defined catalog of possible operations independent of the machine learning use case.
Answer: C
NEW QUESTION 17
The least squares optimization technique (The Method of Least Squares) is used in which algorithm?
- A. Logistic regression
- B. Linear regression
- C. Naive Bayes classification
- D. Support Vector Machines
Answer: B
NEW QUESTION 18
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 19
What are three operators used by genetic programming? (Choose three.)
- A. mutation
- B. duel
- C. selection
- D. sheltering
- E. crossover
- F. reciprocation
Answer: B,C,E
NEW QUESTION 20
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. 73 false positives and 81 false negatives
- B. 81 false positives and 33 false negatives
- C. 81 false positives and 73 false negatives
- D. 33 false positives and 81 false negatives
Answer: D
NEW QUESTION 21
What are two methods used to detect outliers in structured data? (Choose two.)
- A. multi-label classification
- B. one class Support Vector Machine (SVM)
- C. isolation forest
- D. gradient descent
- E. Word2Vec
Answer: B,C
NEW QUESTION 22
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. dynamic programming
- B. reinforcement learning
- C. reward learning
- D. feedback-based optimization
Answer: B
NEW QUESTION 23
What is the best step by step order for machine learning pipeline?
Answer:
Explanation:
NEW QUESTION 24
What are two key characteristics of cloud architecture that could benefit AI applications? (Choose two.)
- A. the hardware requirement can be scaled up as per the demand
- B. hybrid clouds enable the deployment of distributed large neural networks
- C. constant attention needed for maintenance and support of the cloud platform
- D. capable of managing and handling dynamic workloads with automatic recovery from failures
- E. support for common business oriented language (COBOL) applications
Answer: A,D
NEW QUESTION 25
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. horizontal pod autoscaling
- B. node self-registration mode
- C. persistent storage
- D. vertical pod autoscaling
Answer: C
NEW QUESTION 26
Select the three computing languages that IBM Cloud Object Storage SDK supports. (Choose three.)
- A. Node.js
- B. Python
- C. C/C++
- D. PHP
- E. Java
- F. Swift
Answer: A,B,E
NEW QUESTION 27
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. Generate a pivot table
- C. Select the largest transaction amount by month and store
- D. Find the sum of the transaction prices
- E. Write a GROUP BY query
Answer: A,C
NEW QUESTION 28
What are the various components that make up a time series data?
- A. trend, seasonality, noise
- B. trend, seasonality, causation
- C. trend, noise, covariance
- D. trend, noise, kurtosis
Answer: A
NEW QUESTION 29
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. apply dimensionality reduction to the features before training
- B. after training, divide the model accuracy of each class by the proportion that they represent in the dataset
- C. oversample the minority class and/or undersample the majority class
- D. impose an additional cost on the model for making classification mistakes on the minority class during training
- E. lower the detection threshold of the minority class after training
Answer: B,D
NEW QUESTION 30
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 assigning random labels
- C. by increasing the depth of the neural network
- D. by creating random data
Answer: A
NEW QUESTION 31
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 Watson Machine Learning instance and is only accessible via REST API.
- B. The CSV file was converted to a binary blob and must be converted in the notebook code.
- C. CSV files cannot be used as data sources in Watson Studio.
- D. The CSV file is stored in a Cloud Object Storage.
Answer: D
NEW QUESTION 32
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 are all strongly correlated with each other
- C. samples collected focus only on the most common cases
- D. samples collected are skewed with each other
Answer: D
NEW QUESTION 33
What is the goal of the backpropagation algorithm?
- A. to randomize the trajectory of the neural network parameters during training
- B. to smooth the gradient of the loss function in order to avoid getting trapped in small local minimas
- C. to scale the gradient descent step in proportion to the gradient magnitude
- D. to compute the gradient of the loss function with respect to the neural network parameters
Answer: B
NEW QUESTION 34
Which IBM Watson Machine Learning deployment method offers the ultimate flexibility in deploying a machine learning model?
- A. Watson Machine Learning FORTRAN client
- B. Watson Machine Learning REST API
- C. Watson Machine Learning Python client
- D. Watson Studio Project
Answer: B
NEW QUESTION 35
Given the following matrix multiplication:
What is the value of P?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: C
NEW QUESTION 36
Which one is the most appropriate use case for artificial intelligence (AI)?
- A. aggregating sales revenue per state
- B. creating a pivot table with monthly costs
- C. compressing large video files
- D. detecting objects in video streams
Answer: A
NEW QUESTION 37
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