IBM AI Enterprise Workflow V1 Data Science Specialist Exam
Last exam update: Nov 27 ,2023
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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. 64 inches and 74 inches
B. 66.5 inches and 69 inches
C. 71.5 inches and 76.5 inches
D. 66.5 inches and 71.5 inches
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
CE (none) Explanation
What is the main difference between traditional programming and machine learning?
A. Machine learning models take less time to train.
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 does not require explicit coding of decision logic.
What is the name of the design thinking work product that contains a summary description of a particular person or role?
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 is a conditional probability model.
D. Naive Bayes doesn't require any assumptions about the distribution of values associated with each class.
DRAG DROP What is the best step by step order for machine learning pipeline?
What are the various components that make up a time series data?
A. trend, noise, covariance
B. trend, noise, kurtosis
C. trend, seasonality, causation
D. trend, seasonality, noise
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. persistent storage
B. vertical pod autoscaling
C. horizontal pod autoscaling
D. node self-registration mode
Which one is the most appropriate use case for artificial intelligence (AI)?