Which of the following techniques enables automation and iteration of code releases?

• A.Virtualization
• B.Markdown
• C.Code isolation
• D.CI/CD

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A data scientist would like to model a complex phenomenon using a large data set composed of categorical, discrete, and continuous variables. After completing exploratory data analysis, the data scientist is reasonably certain that no linear relationship exists between the predictors and the target. Although the phenomenon is complex, the data scientist still wants to maintain the highest possible degree of interpretability in the final model. Which of the following algorithms best meets this objective?

• A.Artificial neural network
• B.Decision tree
• C.Multiple linear regression
• D.Random forest

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The following graphic shows the results of an unsupervised, machine-learning clustering model:

k is the number of clusters, and n is the processing time required to run the model. Which of the following is the best value of k to optimize both accuracy and processing requirements?

• A.2
• B.10
• C.15
• D.20

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A data scientist is presenting the recommendations from a monthslong modeling and experiment process to the company's Chief Executive Officer. Which of the following is the best set of artifacts to include in the presentation?

• A.Methods, data overview, results, recommendations, and charts
• B.Results, recommendations, justifications, and clear charts
• C.Recommendation charts justifications code reviews and results
• D.Methodology, code snippets, findings, data tables, and p values

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A movie production company would like to find the actors appearing in its top movies using data from the tables below. The resulting data must show all movies in Table 1, enriched with actors listed in Table 2.

Which of the following query operations achieves the desired data set?

• A.Perform an INNER JOIN between Table 1 using column Movie, and Table 2 using column Acted_In.
• B.Perform a UNION between Table 1 using column Movie, and Table 2 using column Acted_In.
• C.Perform an INTERSECT between Table 1 using column Movie, and Table 2 using column Acted_In.
• D.Perform a LEFT JOIN on Table 1 using column Movie, with Table 2 using column Acted_In.

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