Get ready to pass the C1000-059 Exam right now using our IBM Data and AI: Data and AI Exam Package
A fully updated 2022 C1000-059 Exam Dumps exam guide from training expert PracticeTorrent
NEW QUESTION 10
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. vertical pod autoscaling
- B. node self-registration mode
- C. horizontal pod autoscaling
- D. persistent storage
Answer: D
NEW QUESTION 11
Select the three computing languages that IBM Cloud Object Storage SDK supports. (Choose three.)
- A. Java
- B. Python
- C. C/C++
- D. Node.js
- E. Swift
- F. PHP
Answer: A,B,D
NEW QUESTION 12
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. 33 false positives and 81 false negatives
- C. 81 false positives and 73 false negatives
- D. 81 false positives and 33 false negatives
Answer: B
NEW QUESTION 13
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 14
Which of the following entity extraction techniques would be best for the extraction of telephone numbers from a text document?
- A. dictionary
- B. regex
- C. statistical
- D. complex pattern-based
Answer: C
NEW QUESTION 15
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 16
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 17
What is the best step by step order for machine learning pipeline?
Answer:
Explanation:
NEW QUESTION 18
Which situation would disqualify a machine learning system from being used for a particular use case?
- A. Data for the machine learning model is available only as static CSV files.
- B. The neural network for the model requires significantly more computing power than a logistic regression model.
- C. The use case requires a 100% likelihood of making a correct/true prediction.
- D. Training and testing data for the model contain outliers.
Answer: B
NEW QUESTION 19
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 20
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 21
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 = ReLU(affine1(x), affine2(x))
- B. y = affine1(ReLU(affine2(x)))
- C. y = affine2(max(affine1(x), 0))
- D. y = affine2(ReLU(affine1(x)))
- E. y = max(affine1(x), affine2(x))
Answer: C,D
NEW QUESTION 22
What are three elements that are typically part of a machine learning pipeline in scikit-learn or pyspark?
(Choose three.)
- A. data preprocessing
- B. business understanding
- C. data exploration
- D. model building
- E. use case selection
- F. model prediction
Answer: A,C,F
NEW QUESTION 23
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. lower the detection threshold of the minority class after training
- 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. after training, divide the model accuracy of each class by the proportion that they represent in the dataset
Answer: D,E
NEW QUESTION 24
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 25
What is the main difference between traditional programming and machine learning?
- A. Machine learning does not require explicit coding of decision logic.
- B. Machine learning takes full advantage of SDKs and APIs.
- C. Machine learning is optimized to run on parallel computing and cloud computing.
- D. Machine learning models take less time to train.
Answer: A
NEW QUESTION 26
......
Master 2022 Latest The Questions IBM Data and AI: Data and AI and Pass C1000-059 Real Exam!: https://actual4test.practicetorrent.com/C1000-059-practice-exam-torrent.html