File Info
| Exam | IBM AI Enterprise Workflow V1 Data Science Specialist |
| Number | C1000-059 |
| File Name | IBM.C1000-059.VCEplus.2021-04-26.61q.vcex |
| Size | 220 KB |
| Posted | Apr 26, 2021 |
| Download | IBM.C1000-059.VCEplus.2021-04-26.61q.vcex |
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Demo Questions
Question 1
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?
- 33 false positives and 81 false negatives
- 81 false positives and 73 false negatives
- 73 false positives and 81 false negatives
- 81 false positives and 33 false negatives
Correct answer: A
Question 2
What is the goal of the backpropagation algorithm?
- to randomize the trajectory of the neural network parameters during training
- to smooth the gradient of the loss function in order to avoid getting trapped in small local minimas
- to scale the gradient descent step in proportion to the gradient magnitude
- to compute the gradient of the loss function with respect to the neural network parameters
Correct answer: B
Explanation:
Reference: https://www.sciencedirect.com/topics/computer-science/backpropagation Reference:
https://www.sciencedirect.com/topics/computer-science/backpropagation
Question 3
With the help of AI algorithms, which type of analytics can help organizations make decisions based on facts and probability-weighted projections?
- prescriptive analytics
- cognitive analytics
- predictive analytics
- descriptive analytics
Correct answer: A
Explanation:
Reference: https://www.investopedia.com/terms/p/prescriptive-analytics.asp Reference:
https://www.investopedia.com/terms/p/prescriptive-analytics.asp
Question 4
What is the technique called for vectorizing text data which matches the words in different sentences to determine if the sentences are similar?
- Cup of Vectors
- Box of Lexicon
- Sack of Sentences
- Bag of Words
Correct answer: D
Explanation:
Reference: https://medium.com/@adriensieg/text-similarities-da019229c894 Reference:
https://medium.com/@adriensieg/text-similarities-da019229c894
Question 5
Which statement is true in the context of evaluating metrics for machine learning algorithms?
- A random classifier has AUC (the area under ROC curve) of 0.5
- Using only one evaluation metric is sufficient
- The F-score is always equal to precision
- Recall of 1 (100%) is always a good result
Correct answer: B
Question 6
When should median value be used instead of mean value for imputing missing data?
- for skewed data
- for real numbers
- for normally distributed data
- for large data sets
Correct answer: D
Question 7
Given the following matrix multiplication:
What is the value of P?
- –9
- 17
- 12
- –7
Correct answer: C
Explanation:
Reference: https://www.mathsisfun.com/algebra/matrix-multiplying.html Reference:
https://www.mathsisfun.com/algebra/matrix-multiplying.html
Question 8
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.)
- y = affine1(ReLU(affine2(x)))
- y = max(affine1(x), affine2(x))
- y = affine2(ReLU(affine1(x)))
- y = affine2(max(affine1(x), 0))
- y = ReLU(affine1(x), affine2(x))
Correct answer: CD
Question 9
The formula for recall is given by (True Positives) / (True Positives + False Negatives). What is the recall for this example?
- 0.2
- 0.25
- 0.5
- 0.33
Correct answer: B
Explanation:
Reference: https://machinelearningmastery.com/precision-recall-and-f-measure-for-imbalanced-classification/ Reference:
https://machinelearningmastery.com/precision-recall-and-f-measure-for-imbalanced-classification/
Question 10
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?
- CSV files cannot be used as data sources in Watson Studio.
- The CSV file was converted to a binary blob and must be converted in the notebook code.
- The CSV file is stored in a Cloud Object Storage.
- The CSV file is stored in a Watson Machine Learning instance and is only accessible via REST API.
Correct answer: C
Explanation:
Reference: https://github.com/IBM/watson-stock-market-predictor/blob/master/README.md Reference:
https://github.com/IBM/watson-stock-market-predictor/blob/master/README.md
