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NEW QUESTION 30
What is meant by part-of-speech tagging in the context of text analytics?
- A. replaces words with synonyms, e g. answer for reply
- B. determines the category of a word, e.g nouns
- C. translates word by word
- D. finds the root word
Answer: B
NEW QUESTION 31
When communicating technical results to business stakeholders, what are three appropriate topics to include?
(Choose three.)
- A. alternative methods to address the business problem
- B. methods that failed
- C. differences between cloud provider portfolios
- D. newest developments in AI methods
- E. benefits of cognitive over business analytics
- F. realistic impact on the business measures
Answer: A,E,F
NEW QUESTION 32
Which measure can be used to show business stakeholders the likelihood that a machine learning model will generate a true prediction?
- A. variance
- B. accuracy
- C. skewness
- D. mean
Answer: B
NEW QUESTION 33
If the distribution of the height of American men is approximately normal, with a mean of 69 inches and a standard deviation of 2.5 inches, then roughly 68 percent of American men have heights between and .
- A. 71.5 inches and 76.5 inches
- B. 66.5 inches and 71.5 inches
- C. 66.5 inches and 69 inches
- D. 64 inches and 74 inches
Answer: C
NEW QUESTION 34
In which example would recall be preferred over precision?
- A. book recommendation
- B. recall is always preferred
- C. detection of malignant tumors
- D. identify suitable candidates for a job
Answer: C
NEW QUESTION 35
What is the first step in creating a custom model in Watson Visual Recognition service?
- A. Document the errors from the built in models.
- 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. Test the newly trained model.
Answer: B
NEW QUESTION 36
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 37
Which is an example of a nominal scale data?
- A. a variable temperature with a scale of values low, medium, and high
- B. a variable mood with a scale of values unhappy, ok, and happy
- C. a variable industry with categorical values such as financial, engineering, and retail
- D. a variable bank account balance whose possible values are $5, $10, and $15
Answer: D
NEW QUESTION 38
Which one is the most appropriate use case for artificial intelligence (AI)?
- A. detecting objects in video streams
- B. compressing large video files
- C. aggregating sales revenue per state
- D. creating a pivot table with monthly costs
Answer: C
NEW QUESTION 39
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 40
Which statement is true in the context of evaluating metrics for machine learning algorithms?
- A. Using only one evaluation metric is sufficient
- B. The F-score is always equal to precision
- C. Recall of 1 (100%) is always a good result
- D. A random classifier has AUC (the area under ROC curve) of 0.5
Answer: A
NEW QUESTION 41
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 increasing the depth of the neural network
- C. by creating random data
- D. by assigning random labels
Answer: A
NEW QUESTION 42
Which two properties hold true for standardized variables (also known as z-score normalization)? (Choose two.)
- A. standard deviation = 0.5
- B. expected value = 0
- C. expected value = 0.5
- D. expected value = 1
- E. standard deviation = 1
Answer: C,E
NEW QUESTION 43
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 44
Which statement is true for naive Bayes?
- A. Naive Bayes is a conditional probability model.
- B. 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.
- C. Naive Bayes can be used for regression.
- D. Naive Bayes doesn't require any assumptions about the distribution of values associated with each class.
Answer: A
NEW QUESTION 45
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 46
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 47
What is the primary role of a data steward?
- A. the one who collects, processes, and performs statistical analysis on data
- B. they are a "blue sky thinker" who comes up with new approaches to use new data in innovative ways
- C. they have a strong understanding of the enterprise's database architecture
- D. they define data processes to meet compliance and regulatory obligations
Answer: A
NEW QUESTION 48
What are two hyperparameters used when building a k-means model? (Choose two.)
- A. learning rate
- B. number of iterations
- C. number of clusters
- D. number of neighbors
- E. kernel
Answer: B,C
NEW QUESTION 49
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