Exam Questions and Answers for C1000-059 Study Guide Questions and Answers!
IBM AI Enterprise Workflow V1 Data Science Specialist Certification Sample Questions and Practice Exam
NEW QUESTION 37
Which statement defines p-value?
- A. It is the probability of rejecting a null hypothesis when the hypothesis is proven true.
- B. It is the probability of accepting a null hypothesis when the hypothesis is proven true.
- C. It is the probability of rejecting a null hypothesis when the hypothesis is proven false.
- D. It is the probability of accepting a null hypothesis when the hypothesis is proven false.
Answer: D
NEW QUESTION 38
What is the first step in creating a custom model in Watson Visual Recognition service?
- A. Test the newly trained model.
- 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. Document the errors from the built in models.
Answer: B
NEW QUESTION 39
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 40
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 41
What is meant by part-of-speech tagging in the context of text analytics?
- A. translates word by word
- B. determines the category of a word, e.g nouns
- C. finds the root word
- D. replaces words with synonyms, e g. answer for reply
Answer: B
NEW QUESTION 42
Which situation would disqualify a machine learning system from being used for a particular use case?
- A. Training and testing data for the model contain outliers.
- B. Data for the machine learning model is available only as static CSV files.
- C. The use case requires a 100% likelihood of making a correct/true prediction.
- D. The neural network for the model requires significantly more computing power than a logistic regression model.
Answer: D
NEW QUESTION 43
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 critical for achieving high accuracy in training.
- D. It is a necessary step in training and evaluating the performance of the models.
- E. It is only possible on the cloud because they require a large amount of compute resources.
Answer: C,D
NEW QUESTION 44
Determine the number of bigrams and trigrams in the sentence. "Data is the new oil".
- A. 3 bigrams, 4 trigrams
- B. 4 bigrams, 3 trigrams
- C. 3 bigrams, 3 trigrams
- D. 4 bigrams, 4 trigrams
Answer: C
NEW QUESTION 45
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 46
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 47
Which test is applied to determine the relationship between two categorical variables?
- A. z test
- B. t-test
- C. chi squared test
- D. paired t-test
Answer: C
NEW QUESTION 48
What is the primary role of a data steward?
- A. they have a strong understanding of the enterprise's database architecture
- B. they are a "blue sky thinker" who comes up with new approaches to use new data in innovative ways
- C. the one who collects, processes, and performs statistical analysis on data
- D. they define data processes to meet compliance and regulatory obligations
Answer: C
NEW QUESTION 49
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 50
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 51
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 52
Which of the following entity extraction techniques would be best for the extraction of telephone numbers from a text document?
- A. dictionary
- B. statistical
- C. regex
- D. complex pattern-based
Answer: B
NEW QUESTION 53
Which fine-tuning technique does not optimize the hyperparameters of a machine learning model?
- A. grid search
- B. random search
- C. population based training
- D. hyperband
Answer: D
NEW QUESTION 54
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